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THE GLOBAL FINANCIAL CRISIS – LIKELY IMPACT ON
                BANGLADESH


              Study Conducted by BIDS-PRP Team:
                        Ahmed, Mansur
                        Mehedi, ATMS
                            Zabid, I.
                        Zohir, Salma C.
                     Led by: Murshid, KAS.




     Paper presented to the BIDS-PRP seminar on 16 March, 2009
           at BIDS Conference Hall, Agargoan, Dhaka-1207


                                                 1
INTRODUCTION
Figure : GDP Growth over preceding quarter, for the four quarters
of 2008 of USA and EU                                                     European Commission
                                                                                forecast:
                              GDP Growth
 2
                                                                    • Advanced economies like
 1                                                                  USA, EU, Germany and UK are
                                                                    going to experience negative
                                                                    economic growth through out
 0
                                                                    2009;
         USA             EU                Germany            UK
-1                                                                  •The Economic Outlook sees
                                                                    US output gradually picking up
                                                                    from middle of next year as the
-2
                                                                    effects of the credit squeeze
                                                                    abate; and
-3
                                                                    •Weak household spending will
                                                                    limit recovery - US GDP is
-4
                                                                    projected to fall 1.6 percent in
                     2008Q1    2008Q2      2008Q3    2008Q4
                                                                    2009, before rising 1.6 percent
                                                                    in 2010.
Source: BEA and European commission, 2009.




                                                                      2
INTRODUCTION….
                                                                                     Figure : GDP Forecasts for USA and EU for 2009
           Figure : Composite Leading Indicators for
                                                                                     and 2010
           Selected Countries
           OECD Area             Euro Area                Germany
                                                                                                           EU            USA           Germany             UK
           United Kingdom        United States
                                                                             1.5
   0
                                                                               1
 -0.5
                                                                             0.5

                                                                               0
  -1

                                                                             -0.5
 -1.5
                                                                              -1
  -2                                                                         -1.5




                                                                                    2009Q 1


                                                                                                 2009Q 2


                                                                                                           2009Q 3


                                                                                                                         2009Q 4


                                                                                                                                   2010Q 1


                                                                                                                                                 2010Q 2


                                                                                                                                                            2010Q 3


                                                                                                                                                                      2010Q 4
 -2.5
        Jul-2008   Aug-2008   Sep-2008       Oct-2008   Nov-2008    Dec-08
urce: OECD, 2009                                                                              Source: EC, 2009

The vulnerability facing advanced economies is reflected in the OECD’s composite
 ading indicators which shows that downturn in the CLI has become flatter and has
egun to turn upward between Oct-Dec 2008. GDP forecasts for EU even worse



                                                                                                                     3
INTRODUCTION….
Table : IMF Projections about the Growth of Global Output Due to Recent Financial Crisis
                                                                                Projected

Regions                                               2007        2008        2009          2010
World Output                                            5.2         3.5         0.5          3.0
Advanced Economies                                      2.7         1.0        -2.0          1.1
USA                                                     2.0         1.1        -1.6          1.6
Euro area                                               2.6         1.0        -2.0          0.2
United Kingdom                                          3.0         0.7        -2.8          0.2
Developing Asia                                        10.6         7.8         5.5          6.9
China                                                  13.0         9.0         6.7          8.0
India                                                   9.3         7.3         5.1          6.5
Source: IMF, World Economic Outlook, January 2009.

 World growth is projected to slow from 5.2 percent in 2007 to 3.5 percent in 2008 to
 st over 0.5 percent in 2009 - recovery projected to begin later in 2009.

Major emerging economies such as China, Brazil, Russia and India also affected.



                                                                          4
Linkages: Bangladesh and Global Economy
 Figure : Trend in Export-GDP ratio of Bangladesh
                                                                                                                         ► Bangladesh’s export earnings
                 Export-GDP Ratio
 20.00
                                                                                                                         continuously rising since 1990s.
 15.00
                                                                                                                         Export earnings are over 20
 10.00
                                                                                                                         percent of our GDP.
  5.00


                                                                                                                         ► The main driver exports is the
  0.00
         1991

                1992

                       1993

                              1994

                                     1995

                                            1996

                                                   1997

                                                          1998

                                                                 1999

                                                                        2000

                                                                               2001

                                                                                      2002

                                                                                             2003

                                                                                                    2004

                                                                                                           2005

                                                                                                                  2006
                                                                                                                         RMG sector which accounts almost
                                                                                                                         four fifth of our total export
 Source: World Development Indicators, 2008.
igure: Direction of Bangladesh’s Exports, 2007
                                                                                                                         earnings.
                                                    Others
    Developing
                                                     19%
                                                                                                                         ►The export sector is potentially
    Countries
      12%
                                                                                                                         vulnerable to the on-going financial
                                                                                                                         crisis as it heavily depends on EU
                                                                                                                         and US markets. Almost half of our
                                                                                                             EU
            USA
                                                                                                            46%
                                                                                                                         exports go to EU, while one quarter
            23%

                                                                                                                         goes to USA.
Source: Direction of Trade, IMF, 2008.




                                                                                                                                      5
Forecasts Based on Export Demand Function: A SURE Approach

● To estimate the income elasticities for our exports to USA and EU, an attempt was made to
 estimate country specific and product specific export demand functions for Bangladesh.

● Literature: Weight of evidence - real income of the trading partners and relative prices are
  the determinants of export demand but magnitude of elasticity varies widely.

● This study estimates market specific disaggregated export demand behavior for
  Bangladesh’s exports using quarterly data and by applying seemingly unrelated regression
  (SUR) technique.

● Two major importing regions considered: USA, and Europe (EU-15).

● Demand theory identifies price as the main explanatory variable, and incomes, tastes and
  preferences, prices of related products (substitutes and complements) as demand shifters.
  Because of data limitations, a simplified model was estimated:

                           Log X= α+βlogY+θlogE+u
here X = Quantity of Export Demand, Y = Real GDP; E=Real Exchange Rate; and
 error term.




                                                                   6
Forecasts Based on Export Demand Function: A SURE Approach …..

le : Regression Results: Income and Exchange rate Elasticities

Regions      Products    Income Elasticity   Exchange Rate
                                             Elasticity
USA          Knitwear      0.2903911*             1.85298**
                                                                 Income Elasticity:
             Woven         0.2855428*            0.8005111*
             Fish             0.0086             0.7962688
                                                                 ► Income elasticities for all items for
             Jute           0.241779             0.2557664
                                                                 USA and EU are low but significant.
             Leather        2.329824*             5.307921*
                                                                 Exception: leather products export to
             Products
                                                                 USA which shows high positive and
             Rawhide       0.6911198**           2.042887**
                                                                 significant elasticity (more volatile); and
             Total         0.3680913*            0.7344868*
                                                                 fish and jute exports to USA – which
European     Knitwear      0.3850197*            0.0074014*
                                                                 have insignificant elasticity.
Union
             Woven          0.386823*            0.0001788*
                                                                 ► The low income elasticities imply
             Fish          0.2326834*            0.0021747
                                                                 that there is a small, positive
             Jute          0.1866102*            0.0071777*
                                                                 association between the income or
             Leather       0.0041508*            0.0017311*
                                                                 GDP of the importing countries and
             Products
                                                                 export demand from Bangladesh.
             Rawhide       0.1995184*            0.0040831*
             Total         0.4474187*            0.0035401*




                                                                                7
Forecasts Based on Export Demand Function:
                      A SURE Approach …..



Exchange Rate Elasticity:

►These were derived in terms of USD and Euro vs BDT implying that
increase in exchange rate (more taka per $ or E) means depreciation of
BDT.

► For most commodities, exchange rate elasticities were positive and
significant – implying that exports were responsive to exchange rate
changes.

► Especially stronger response indicated for leather goods, rawhide and
knit to USA.




                                                          8
Forecasts Based on Export Demand Function: A SURE Approach …..
Table: Impact on Exports: Forecast for 2009 and 2010 (Percentages)
                                                               Forecast for USA Markets
      Quarters               2009Q1      2009Q2     2009Q3     2009Q4       2010Q1        2010Q2     2010Q3     2010Q4
      Knitwear                   -0.06      -0.29      -0.23        -0.03        0.15         0.26       0.35       0.41
      Woven wear                 -0.06      -0.29      -0.23        -0.03        0.14         0.26       0.34       0.40
      Fish                       0.00       -0.01      -0.01         0.00        0.00         0.01       0.01       0.01
      Jute                       -0.05      -0.24      -0.19        -0.02        0.12         0.22       0.29       0.34
      Leather Products           -0.47      -2.33      -1.86        -0.23        1.16         2.10       2.80       3.26
      Rawhides                   -0.14      -0.69      -0.55        -0.07        0.35         0.62       0.83       0.97
      Total                      -0.07      -0.37      -0.29        -0.04        0.18         0.33       0.44       0.52
                                                               Forecast for EU Markets
      Knitwear                   -0.04       0.00       0.08            0.23     0.31         0.39       0.42       0.50
      Woven wear                 -0.04       0.00       0.08            0.23     0.31         0.39       0.43       0.50
      Fish                       -0.02       0.00       0.05            0.14     0.19         0.23       0.26       0.30
      Jute                       -0.02       0.00       0.04            0.11     0.15         0.19       0.21       0.24
      Leather Products           0.00        0.00       0.00            0.00     0.00         0.00       0.00       0.01
      Rawhides                   -0.02       0.00       0.04            0.12     0.16         0.20       0.22       0.26
      Total                      -0.04       0.00       0.09            0.27     0.36         0.45       0.49       0.58

Using EC GDP estimates: Qtr 2 and 3 are the worst periods for the US market with the leather sector
especially hard-hit.
In the EU market export growth is negative in qtr 1 of 2009 but improves slowly thereafter.



                                                                                          9
Forecasts Based on Export Demand Function: A SURE Approach …..

                    Figure : Forecasts based on IMF Projections

          Export Forecast based on IMF Projections for 2009
             USA            EU
    -4
  -3.5
    -3
  -2.5
    -2
  -1.5
    -1
  -0.5
     0
         Knitwear   Woven        Fish    Jute    Leather   Rawhides   Total
                     wear                       Products


  ♦ IMF estimates show negative performance for all categories, especially leather
  ♦ If IMF GDP forecasts are used, whole of 2009 will post negative export growth.



                                                           10
ACTUAL EXPORT PERFORMANCE

     Figure : Half Yearly Growth of Bangladesh’s Export                                          Figure : Quarterly Exports of Bangladesh in
     (Year-over-Year)                                                                            Million USD

        25.39                                                    24.93                                                                            Exports in Million USD
                         23.18                                                                5000
25
                                                                                              4500
20
                                                                                    16.70     4000
                                                                                              3500
15
                                                                                              3000
                                     9.22                                                     2500
10
                                                       6.88
                                                                                              2000
                                                                                              1500
 5
                                                                                              1000
 0                                                                                            500
       Jan-June          July-Dec   Jan-June          July-Dec   Jan-June          July-Dec     0




                                                                                                     2005Q1

                                                                                                              2005Q2

                                                                                                                       2005Q3

                                                                                                                                2005Q4

                                                                                                                                         2006Q1

                                                                                                                                                  2006Q2

                                                                                                                                                           2006Q3

                                                                                                                                                                    2006Q4

                                                                                                                                                                             2007Q1

                                                                                                                                                                                      2007Q2

                                                                                                                                                                                               2007Q3

                                                                                                                                                                                                        2007Q4

                                                                                                                                                                                                                 2008Q1

                                                                                                                                                                                                                          2008Q2

                                                                                                                                                                                                                                   2008Q3

                                                                                                                                                                                                                                            2008Q4
                  2006                         2007                         2008

     Source: IFS, 2008 and Bangladesh Bank                                                            Source: IFS, 2008 and Bangladesh Bank

      •Export performance positive but December performance has raised concerns.



                                                                                                                                                  11
ACTUAL EXPORT PERFORMANCE…….

 Table : Quarterly Growth of Exports of Major Items to USA

               Growth of Exports (Jul-Dec 2008 on July-Dec2007) (Year-on-Year)

                                                                                              ►Bangladesh is experiencing
              BD    USA*    China    India    Pakistan   Philippines   Sri Lanka    Vietnam

                                                                                                positive export growth while
oven       12.49    -3.62     5.06    -8.88       4.08                      -3.87      7.82     many other emerging Asian
                                                                                                economies already affected,
nit        25.88    -1.57     4.71     0.24      -0.89        -3.18        -25.23      0.57
                                                                                                e.g. India, Philippines and Sri
                                                                                                Lanka.
ish        -16.46   3.48     19.42   -17.99      -6.51      -20.58         -41.30      7.44

                                                                                              ► Bangladesh share of US
ome
extile     16.93    -3.99    -2.46     2.92      -9.39         1.34        -21.42    -25.36
                                                                                               market increasing at the
                                                                                               expense of other countries.
eadgears   -11.53   3.12      5.44   -23.22     44.28          8.46        -11.47      7.89

                                                                                              ► Bangladesh exports rose in
utes       -19.76   2.55              -2.95       3.24         7.95         -7.71
                                                                                               the face of declining imports
                                                                                               of RMG products in USA –
lastics     6.69    2.02     10.48    33.61                 -13.26          -0.04     15.31
                                                                                               imports fell almost 9% while
                                                                                               BD exports rose 18% (last
otal       13.57    2.59      5.48     4.93       2.49      -12.21          -3.10     20.19    qtr 2008).
Source: Calculated based on data accessed from USITC, 2009.




                                                                                               12
ACTUAL EXPORT PERFORMANCE
able : Growth of Exports to EU (July-Oct 2008 over July-Oct 2007)
                                                                             ►However, Bangladesh is
                  Banglade
                                                                             facing problems in EU market
                        sh     China     India   Pakistan     Sri Lanka
    Woven             -2.04     6.46     4.56        1.88             3.92
                                                                             (especially in shrimp,
    Knit               6.66    32.11     -4.48      -1.57             2.07
                                                                             headgear, jute and rawhides).
    Fish             -15.88     4.51    -11.96                        0.93
                                                                             ► Bangladesh experienced <4
    Home
    Textile            4.28     1.50     -4.33       0.15        -14.23
                                                                             % export growth in EU market
    Headgears        -20.02     5.08    12.91       10.09           -0.16
                                                                             while all other countries
    Plastics          33.13     7.45     -3.72     127.99           -2.69
                                                                             (except Sri Lanka) have
    Jutes            -13.30     2.64     -2.48                      -4.87
                                                                             experienced higher growth
    Rawhide          -25.44    -26.96   -12.20     -23.94        -35.00
                                                                             than Bangladesh.
    Leather
    Products          15.23     -1.12   11.32                     14.57
    Total              3.58     7.23    10.91        7.45             1.57

     Source: Calculated based on data accessed from Euro stat, 2009

The above data and analysis show that still Bangladesh has been coping well
h the on going global financial meltdown, though there is a clear indication
 t growth rate of exports from Bangladesh is going to face a slow down.



                                                                                  13
RELATIVE SUCCESS OF BANGLADESH: CLOSER FOCUS ON RMG

                             Trend in US Apparel Sales and Import
           20
                                     Retail sales        World          Bangladesh

           15


           10


            5


            0
                 Quarter   Quarter   Quarter        Quarter   Quarter     Quarter    Quarter   Quarter
                   17        27        37             47        18          28         38        48
            -5


           -10



• Retail clothing sales declined by 8.05 percent in the fourth quarter of
2008, and consequently US import of apparel declined by 2.94 percent.
•But US import from Bangladesh increased by 18.5 percent during the
fourth quarter of 2008. Main competitors of Bangladesh in US are
Vietnam and Indonesia.


                                                                                                    14
RELATIVE SUCCESS OF BANGLADESH: CLOSER FOCUS ON RMG
                                                         Figure: Product Diversification

                                                         Product Div e rsification in RM G

                                100%
                                                                                                                                                               Others
                                 90%
          Share in RMG export




                                 80%                                                                                                                           Sweater
                                 70%
                                                                                                                                                               T-Shirt
                                 60%
                                 50%
                                                                                                                                                               Jackets
                                 40%
                                 30%                                                                                                                           Trousers
                                 20%
                                                                                                                                                               Shirts
                                 10%
                                  0%
                                       95-96

                                               96-97

                                                       97-98

                                                               98-99

                                                                       99-00

                                                                               00-01

                                                                                       01-02

                                                                                               02-03

                                                                                                       03-04

                                                                                                               04-05

                                                                                                                       05-06

                                                                                                                               06-07

                                                                                                                                        07-08

                                                                                                                                                08-09 (sept)
♦The share of knitwear increased; woven share fell. Bangladesh started as exporter of
 shirts, and has subsequently diversified to trousers, jackets, T-shirt and sweaters
♦ The share of shirts was 31.7 percent in 1995/96 but fell to 8.55 percent in 2007-08. On
 the other hand trouser share increased from 4.4 percent to 23.48 percent


                                                                                                                                       15
RELATIVE SUCCESS OF BANGLADESH: CLOSER FOCUS ON RMG


Cost Advantage:
Bangladesh has a clear cost advantage compared to its competitors. US imports
from Bangladesh increased by 18.5 percent. The market share of BD in US
market has increased from 4.19 percent in 2007 to 4.81 percent in 2008.
  Table : Price per doz in selected Asian countries: first half 2008
                          Quota on   World   Bang    China       India        Pakistan   Vietnam
                          China
Categories
347 Cotton M/B Trousers   Q          70.44   52.54   85.50       82.85        55.18      61.86
340 Woven Shirts, M/B     Q          80.50   47.68   83.40       63.61        23.59      61.11
348 W/G Slacks            Q          60.08   47.76   85.50       82.85        55.18      54.17
338 Knit Shirts, M/B      Q          30.64   22.12   60.41       42.73        33.18      45.24
647 Trousers M/B          Q          53.73   35.17   73.20       84.44        32.46      64.10
352 Cotton underwear      Q          10.88   8.69    17.93       12.88        10.79      11.95
341 W/G woven blouse                 62.15   38.82   61.56       63.61        23.59      42.73
339 W/G knit blouse       Q          33.84   22.36   55.22       37.51        20.95      34.83
 Source: emerging textiles.




                                                                         16
Can this growth be sustained in 2009?




►The safeguard on China was withdrawn from January 1, 2009 in the US market. This
    may lead to a further reduction in prices as competition from China will intensify.

► Bangladesh has benefited from safeguard on China: Out of the top ten products of
   Bangladesh exported to USA in 2007, seven products had a quota on China.

► The closest competitor is Pakistan in terms of prices, but Bangladesh enjoys greater
   economic and political stability compared to Pakistan.

► China and India are high-end producers of these products. As restrictions are
   withdrawn from China, will they move back into lower end products??




                                                                17
Challenges in EU Market

●The European Union (EU) became the largest single market for clothing
imports in 2007 (35% in woven and 58% in Knit; US: 48% in woven and 17%
Knit).
● The end of quotas on China from 1st January 2008 brought downward
pressure on prices in the EU clothing market and required the suppliers to
become more efficient.
● During the period July-Oct, 2008, knitwear imports from Bangladesh rose by
6.9 percent, while that of woven declined by 2.2 percent.
● The share of Bangladesh fell from 17 to 15 percent while of India declined
from 10 to 8 percent during this period (for Knit).
● For woven imports, the share of China increased from 74 to 75 percent, but
declined for Bangladesh from 7 to 6 percent.




                                                             18
REVIEW/ASSESSMENT OF MAJOR DEVELOPMENTS FOR RMG
Increasing market share in US but decline in EU
Sourcing from China become expensive as Chinese currency appreciated
and labour laws were being implemented more rigorously. Relatively, Textile
is considered to be a low price item in China and hence could potentially shift
to Bangladesh. Hong Kong based buyers consider Bangladesh to be a
reliable and stable supplier as other competing countries like India, China,
Pakistan and Turkey were facing problems. A small diversion from China
has been a big gain for Bangladesh. Bangladesh benefited from the
safeguard measure against China in both EU and US. This helped expand
capacity base.

Diversifying to new markets
 Suppliers in Bangladesh have been trying to enter the Japanese market with
little success. About 80 percent of the clothing export to Japan is from China.
The other major supplier is Vietnam. Japan is a high quality market. By the
end of 2008, buyers were searching for sourcing from other low cost
countries, including Bangladesh – this is an opportunity.


                                                       19
REVIEW/ASSESSMENT OF MAJOR DEVELOPMENTS FOR RMG
Diversification to higher-end products
By the end of 2008, the buyers started to search for suppliers for outer wear -
jackets, men’s suits, in a bid to relocate away from China. For sweater, polo
shirt, trousers (especially denim) and home textile Bangladesh has strong
potential. BD is better than India in T-shirt and polo shirts. Vietnam and
Cambodia does not have backward linkages for knitwear. BD also has good
quality yarn, which reduces the lead-time for export. This trend needs to be
strengthened.
                              Figure: Cost advantage persists
                             L a b o u r c o s t in c o m p e t in g c o u n t r ie s

  C h i n a ( In l a n d )                                                         250
                 In d i a                                                      232
                                                                        200
         In d o n e s i a
                                                                       195
         S ri L a n k a
                                                                                         B ang= 100
           V ie t n a m                                          173
          P a k is t a n                                       168
                                                           150
        C a m b o d ia
                                               100
     B a n g la d e s h
                                     B a n g l a d e sh = 2 2 c e n t s/ h o u r


 Source: Jassin O’Rourke, 2008



                                                                                          20
Emerging Risks


►Financing: local bank issue of BB/LC based on mother LC – potential risk
► Decline in mother L/C - replaced by direct contracts, based on which local
banks open BB/LC. This increases risk of default.
► LCs favour buyers: after goods shipped some buyers seek to change terms -
agree to pay 30 percent and remainder to be paid only if goods are sold or
goods returned!
► Request for Discount: Most European buyers demand 2 to 5 percent discount
on prices.
► Request to delay shipment




                                                             21
IMPACT ON REMITTANCES
Current remittance earnings of Bangladesh are about $9 billion (compare RMG expor
of around $11 billion) and (put it in perspective, equivalent to 9.5 % of GDP).

Factors determining remittance are numerous (host and home country GDP, exchang
rate, no. of migrants, earnings, length of stay, education of migrant, inflation rate and
interest rate differentials, household incomes and employment)
                                                                                               Table :Top remittance recipient
                                                                                               developing countries (million US $)
                       Fig. 10: Top ten remittance-recipient
                                                                                               country                year              % change
                       developing countries in 2007 & 2008
                                                                                                                                       over 2007
               35                                                              40
                                                                                                             2006     2007     2008e
                                                                       35.62   35
               30
                                                                                               India         25,426   27,000   30000    11.11
                                                                               30
billion US $




               25                                                              25
                                                            24.09                              China         23,319   25,703   27000     5.05
                                                                                    % change
                                                                             20
               20                                                          18.37
                                                                                               Mexico        25,052   25,037   23800     -4.94
                                                                             15
                                        14.79
               15        11.11                                                 10              Philippines   15,251   16,291   18700    14.79
                                                     8.45
                                                                5.47
                             5.05             4.80                             5
               10
                                                                                               Poland        8,496    10,496   11000     4.80
                                                                               0
                   5
                                                                                               Nigeria       5,435    9,221    10000     8.45
                                    -4.94                                      -5
               -                                                               -10
                                                                                               Egypt         5,330    7,656    9500     24.09
                       ak h
                       gl ia
                                 ia
                       Ma
                                  a




                                  d




                                 n
                               es




                       om t
                                 o




                              es
                                p
                                n




                             an
                               di




                            an




                              ta
                             er
                              ic




                                                                                               Romania       6,718    8,533    9000      5.47
                            gy
                            hi



                            in
                           In



                          ex




                         ad

                           is
                          ig
                          ol
                         C



                        lip




                         E
                        N
                        P
                      hi




                      R




                      P
                    an




                                                                                               Bangladesh    5,428    6,562    8900     35.62
                     P




                   B




                          2007        2008e          % change over 2007
                                                                                               Pakistan      5,121    5,998    7100     18.37

        Source: World Bank staff estimates based on the International Monetary Fund's Balance of Payments Statistics Yearbook 2008.




                                                                                                                         22
IMPACT ON REMITTANCES
 From 2003 to 2008, world remittance flows have almost doubled ($206 to 375 billion)
  Developing countries – similar trend (from $143 b to 283 b)
  Estimated that 50% routed through informal channels (World Bank 2006)
  BD share of world remittance market: 2.4% (rising from 1.8% in 2006).
  USA, KSA and UK account for almost 60%.
  The largest recipients are India ($30 billion), followed by China ($27 billion).
  Remittance flows to developing countries increasing even in year 2008, when GDP
rowth rates declining worldwide. Growth in BD in 2008 striking!
    M onthly inflow of re m ittance (m illion US $)
0

                                                                   Remittance inflow from all   % change (y-
0
                                                                             countries              o-y)
0

                                                        Country     2007             2008
0

0
                                                        U.S.A      1086.88          1582.49         45.60
0
                                                        U.K        889.74           823.42          -7.45
0
                                                        Kuwait       768            949.53          23.51
0

                                                        K.S.A      1788.28          2733.69         52.87
0

0
                                                        U.A.E      938.15           1379.54         47.04
0
                                                        Malaysia    29.71           165.03         455.47
                                                        Total      6568.03          9019.6          37.33
         Year:2007         Year:2008        Year:2009




                                                                               23
Actual Remittance Inflows by Major Source Countries
                 Remittance from U.S.A (2007 & 2008)                                                                                                                                Remittance earnings from UK
               160                                                                                                          100
                                                                                                                                                                                           (2007 & 2008)
                                                                                                                            90
               140
                                                                                                                                                                             100                                                                         30
                                                                                                                            80
               120                                                                                                                                                                                                                                       20
million US $




                                                                                                                            70                                                                   17.54




                                                                                                                              Tk per US $
                                                                                                                                                                                                                                        15.55
                                                                                                                                                                             80




                                                                                                                                                                illion U $
                                                                                                                                                                                                                                    11.24                10
               100                                                                                                                                                                                   8.83




                                                                                                                                                                                                                                                                                        % change
                                                                                                                            60




                                                                                                                                                                        S
                                                                                                                                                                                             3.16                                                   1.79 0
                                                                                                                                                                             60
                80                                                                                                          50                                                                                                  -2.73
                                                                                                                                                                                                                                            -6.47
                                                                                                                                                                                                                                                         -10
                                                                                                                            40
                60                                                                                                                                                           40                                         -17.46
                                                                                                                                                                                                                            -18.59                       -20
                                                                                                                            30
                40                                                                                                                                                                                                                                       -30




                                                                                                                                                               M
                                                                                                                            20                                               20
                                                                                                                                                                                                                                                         -40
                20                                                                                                                                                                                                                              -42.00 -44.21
                                                                                                                            10
                                                                                                                                                                              0                                                                          -50
                 0                                                                                                          0




                                                                                                                                                                                                                                                                       ber
                                                                                                                                                                                                                                                                                  ber
                                                                                                                                                                                                                                                  ber
                                                                                                     November
                                                                               September




                                                                                                                 December




                                                                                                                                                                                                                              June
                                                                                                                                                                                   January




                                                                                                                                                                                                                                     July
                                                                                                                                                                                                         arch




                                                                                                                                                                                                                                                         ctober
                                                                                                                                                                                             February




                                                                                                                                                                                                                         ay
                                                                                                                                                                                                                April




                                                                                                                                                                                                                                              August
                                                                 June
                     January




                                                                        July
                                           March




                                                                                           October
                                February




                                                           May
                                                   April




                                                                                 August




                                                                                                                                                                                                                                                                   ovem
                                                                                                                                                                                                                                                                              ecem
                                                                                                                                                                                                                                            Septem
                                                                                                                                                                                                                        M
                                                                                                                                                                                                        M




                                                                                                                                                                                                                                                        O
                                                                                                                                                                                                                                                                  N
                                                                                                                                                                                                                                                                             D
                                                                                                                                                                                                 U.K-07                        U.K-08                    % change
                        U.S.A-07                                 U.S.A-08                            % change



                                                                                                                                                                    ●End of 2008 a suggestion of lower growth
                       Remiitance earnings from Saudi
                             Arabia(2007 & 2008)
               300                                               100
                                                                                                                                      % change over previous

                                                                                                                                                                    on monthly basis
                                                                 90
                                     87.03
               250                                               80
 illion U $




                               72.24                             70
               200
         S




                                                                                                                                                                    ● Highest increase from Malaysia and lowest
                                        61.47 63.85 61.90        60
                                           59.37
               150                                        47.11 50
                                                                                                                                                                    (negative growth) from UK !
                                  39.89                          40
                                                 39.63 38.46 37.81
                                                                38.35
               100                                               30
M




                                                                 20
               50
                                                                                                                                                                    ● March-April peak more pronounced!
                                                                 10
                0                                                0
                                                                                                           ber
                                                                                                                      ber
                                                                                     ber
                                                                 June
                     January




                                                                        July
                                            arch




                                                                                            ctober
                               February




                                                            ay
                                                   April




                                                                                 August




                                                                                                       ovem
                                                                               Septem




                                                                                                                  ecem
                                                           M
                                           M




                                                                                           O
                                                                                                      N
                                                                                                                 D




                               Saudia Arabia-07                                        Saudia Arabia-08
                               % change

Source: Bangladesh Bank




                                                                                                                                                                                                                                        24
What next?
•   Most of the oil exporting countries are taking expansionary monetary policy to
    encourage large investments and consumption expenditure based on bank credit
    – good for employment
•   Bulk of the share of earnings (above 60 percent) come from Middle East - it
    could be that remittance inflows from Middle East will offset the negative growth-
    expected to arise from U.S.A and U.K.


Reasons for Cautious Optimism:
• The rising share of skilled labor in total overseas employment of Bangladeshi
  workers in 2008 over 2007
• Stable exchange rate: better than volatility
• Remittance flows do not seem to be influenced by GDP growth rate (host, World)
• Accumulated stock of migrants large and rising.
• The rising trend of remittance inflows in most developing countries including
  Bangladesh in the last year – and increasing share of BD.




                                                             25
ur remittance earnings are                                                    Remittance out flows from
 t influenced by the World                                                    Saudi Arabia not influenced
DP growth rate                                                                by oil prices
          Comparison of remittance growth with world                                 Remittance outflows from Saudi Arabia not
                                                80
                      real GDP growth                                                         inluenced by oil prices
                                                                                80                                                    20
                                                    60
                                                                                70




                                                        rem ittance growth
                                                    40                          60                                                    15




                                                                                                                                           B illio n U S $
                                                                                50
                                                    20




                                                                             US $
                                                                                40                                                    10
                                                                                30
                                                    0
                                                                                20                                                    5
                                                    -20                         10
                                                                                 0                                                    0
                                                    -40




                                                                                     y 1976
                                                                                     y 1977
                                                                                     y 1978
                                                                                     y 1979
                                                                                     y 1980
                                                                                     y 1981
                                                                                     y 1982
                                                                                     y 1983
                                                                                     y 1984
                                                                                     y 1985
                                                                                     y 1986
                                                                                     y 1987
                                                                                     y 1988
                                                                                     y 1989
                                                                                     y 1990
                                                                                     y 1991
                                                                                     y 1992
                                                                                     y 1993
                                                                                     y 1994
                                                                                     y 1995
                                                                                     y 1996
                                                                                     y 1997
                                                                                     y 1998
                                                                                     y 1999
                                                                                     y 2000
                                                                                     y 2001
                                                                                     y 2002
                                                                                     y 2003
                                                                                     y 2004
                                                                                     y 2005
                                                                                     y 2006
                                                                                     y 2007
 y1978
 y1979
 y1980
 y1981
 y1982
 y1983
 y1984
 y1985
 y1986
 y1987
 y1988
 y1989
 y1990
 y1991
 y1992
 y1993
 y1994
 y1995
 y1996
 y1997
 y1998
 y1999
 y2000
 y2001
 y2002
 y2003
 y2004
 y2005
 y2006
 y2007
 y2008




                                                                                              brent oil(US $/barrel)
                                                                                              remittance outflows from Saudi Arabia
                     World GDP growth   remittance growth



                                                                             Source: Monthly oil Market Report, OPEC, february,2009
rce: World development indicator-2008




                                                                                                    26
The rising share of skilled
                                                                                                          The rising trend of total
 labor in total overseas
                                                                                                          no. of migrants
       employment
                                                                                                                                 Growth comparioson-Renittance earnings vs
       Distribution of overseas employment by different
                                                                                                                                        no. of overseas employment
                           profession
100%                                                                                                                               1                                    10
                                                                                                                                 0.9                                    9




                                                                                                                                                                               re m itta n ce e a rn in g s (b illio n U S
                     4 2 .9 7




                                                     4 4 .5 4
80%                                                                                                                              0.8                                    8




                                                                                                    no. of e m ploy m e nt
                                   4 8 .8 8
         5 1 .5 4




                                                                                         5 2 .4 4
                                                                             5 8 .0 0
                                                                 6 0 .5 9
                                                                                                                                 0.7                                    7




                                                                                                                   M illio n s
                                                                                                                                 0.6                                    6
60%
                                                                                                                                 0.5                                    5
                                                    9.71




                                                                                                                                                                                                   $)
                    20.18
        7.35                    15.19                                                                                            0.4                                    4
                                                                                        15.18
40%
                                                                8.90
                                                                                                                                 0.3                                    3
                                                                            22.06
         3 4 .7 6




                                                     4 4 .9 8




                                                                                                                                 0.2                                    2
                     3 2 .1 2


                                   3 2 .0 1




20%                                                                                      3 2 .1 6
                                                                 3 0 .2 7




                                                                                                                                 0.1                                    1
                                                                             1 9 .8 6




                                                                                                                                   0                                    0
        6.34         4.72          3.9              0.77        0.24         0.08       0.21
 0%




                                                                                                                                       y 1995
                                                                                                                                       y 1996
                                                                                                                                       y 1997
                                                                                                                                       y 1998
                                                                                                                                       y 1999
                                                                                                                                       y 2000
                                                                                                                                       y 2001
                                                                                                                                       y 2002
                                                                                                                                       y 2003
                                                                                                                                       y 2004
                                                                                                                                       y 2005
                                                                                                                                       y 2006
                                                                                                                                       y 2007
                                                                                                                                       y 2008
       y1976-       y1986-      y1996-             y2005        y2006       y2007       y2008
       y1985        y1995       y2004
                                                                                                                                       no. of overseas w orkers   remittance
                                              Skilledyear Semi-skilled
                    Professional                                            Unskilled
                                                                                                                 Source: World development indicator-2008
       Source: BMET




                                                                                                                                                  27
Impact of migrants on remittances – staggered effects of
                 migration on remittances?
                                                Table: Regression Results

     Dependent variable: Log of Remittance inflows
     Explanatory variables                                       Coefficient    t-value
     Exchange rate                                               0.04*          6.38
     Log of no. of overseas workers (t)                          0.64*          2.65
     Log of no. of overseas workers lagged by one year), t+1     0.43*          1.94
     •indicates significance at the 5 % level
     Source: Authors Estimate


We wanted to check if there was a staggered effect of migration on
remittances. In fact, the staggered effect is quite pronounced although not as
strong as the current year effects. In other words the current migrants have a
significant impact on remittance flows in the current period, with remaining
effect (also significant) staggered over time.




                                                                               28
Exchange rate effect: Significant but small?
       Exchange rate effect on remittance                                                           Taka per currency asssuming January'07
900                                                       70.5                                                    as hundred
                                                                                              120
                                                          70
800                                                                                           115
                                                          69.5
700                                                                                           110
                                                          69                                  105




                                                                            tk per currency
600
                                                          68.5




                                                                 Tk per $
                                                                                              100
500
                                                          68                                   95
400                                                                                            90
                                                          67.5
300                                                                                            85
                                                          67
                                                                                               80
200                                                       66.5
                                                                                               75
100                                                       66                                   70
  0                                                       65.5




                                                                                                     Jan,07
                                                                                                    Feb,07
                                                                                                       ar,07

                                                                                                      ay,07
                                                                                                     Jun,07
                                                                                                    July,07


                                                                                                     Oct,07
                                                                                                    Nov,07
                                                                                                    Dec,07
                                                                                                     Jan,08
                                                                                                    Feb,08
                                                                                                       ar,08

                                                                                                      ay,08
                                                                                                     Jun,08
                                                                                                    July,08


                                                                                                     Oct,08
                                                                                                    Nov,08
                                                                                                    Dec'08
                                                                                                     Jan'09
                                                                                                     ept,07




                                                                                                     ept,08
                                                                                                      pr,07




                                                                                                      ug,07




                                                                                                      pr,08




                                                                                                      ug,08
       Nov,06




       Nov,07




       Nov,08
      July,06



       Jan,07



       Jun,07
      July,07




       Jan,08



       Jun,08
      July,08
      Aug,06
      Sept,06
       Oct,06
      Dec,06
       Feb,07
       Mar,07
       Apr,07
      May,07

      Aug,07
      Sept,07
       Oct,07
      Dec,07
       Feb,08
       Mar,08
       Apr,08
      May,08

      Aug,08
      Sept,08
       Oct,08




                                                                                                    M




                                                                                                    M
                                                                                                    M




                                                                                                    M
                                                                                                    A




                                                                                                    A
                                                                                                    A




                                                                                                    A
                                                                                                    S




                                                                                                    S
                                                                                                          EURO                   Indian Rupee
                                                                                                          Japanese Yen           US Do llar
      remittance(million $)   exchangerate(tk per us $)                                                   U.K.P o und Sterling   chinese Yuan


                      Source: Economic trend Of Bangladesh Bank, January,2009


►The graph shows that even in the face of a stable exchange rate since
September 2007, remittances continued to rise rapidly.




                                                                                                                     29
Reasons for concern
● New visas not being issued by Saudi Arabia (but not related to GFC)
● Kuwaiti visas not issued for last 3 years (but not related to GFC)
● U.A.E, Qatar, Malaysia Singapore, Bahrain remain risky destinations – visas
could be stopped at any time.
● U.A.E has stopped or suspended many construction projects worth of $582
billion – definitely related to GFC.
According to BMET each day about 6000 clearances were given in early
2007 – dropped to 3000 in 2008. In December 2007, 77977 clearances
issued whereas in 2008 it fell to 44378. Can we attribute this to GFC?
Perhaps only partly – but nevertheless worrying.


►In a nutshell, Growth rate in remittances likely to slow down a
little in 2009-10; UK situation is poor; USA – no sign of downturn
yet; Middle East – how worried should we be?




                                                          30
IMPLICATIONS FOR IMPORTS
●Bangladesh imports as a share of GDP has been rising over the past three decades. In
2007-08, 27% of Bangladesh’s GDP was spent on imports

● 76% of export earnings are due to RMG and 54% of this is used to import RMG inputs.

                                            % change of total import by month
                50
                45
                40
                35
     % change




                30
                25
                20
                15
                10
                 5
                 0




                                                                                              September




                                                                                                                    November
                                                                   June
                     January




                                                                              July
                                          March




                                                                                                          October
                               February




                                                           May
                                                   April




                                                                                     August
                                                  % change over 2007      % change over 2006

                                                    Source: Bangladesh bank




                                                                                              31
IMPLICATIONS FOR IMPORTS

■Overall import so far has increased by 31 percent in 2008
  over 2007
■ Total merchandise imports showed a robust 35 percent
  growth during July-October 2008 despite a sharp decline
  in imports of food grains over the corresponding period of
  the previous fiscal year
■ Non-food imports, especially fertilizer, crude and raw
  materials expanded
■ Intermediate and capital goods imports expanded
   significantly
 Much of the imports seem to have gone to
 productive, capacity enhancing sectors. This will put
 us in a better position to address any adverse effects
 of the GFC.




                                                      32
Percentage Change in Import LCs
Composition of Import (million US $)
                                                                                      Opened & Setteled
                                  2007                   2008
                                                                                                   July-Dec. 2007-       July-Dec. 2008-
  Items                          July-Nov   July-Oct   July-Nov   % change
                                                                                                        08                    09
                                                                  (4 over 2)
                                                                                                   Opening   Settlemen   Openin    Settleme
  A. Food Grains                    492.2      239.7      367.2       -25.4    Commodity
                                                                                                                    t          g          nt
  Rice                              252.3      158.5      187.5      -25.68
  Wheat                             239.9       81.2      179.7      -25.09
                                                                               Food grains( rice   256.47    164.48      -55.99    -35.83
  Edible oil                        411.1      311.6      368.9      -10.27    & wheat)
  Sugar                               130      156.4      182.9       40.69
                                                                               Capital             -3.4      -7.74       -20.68    13.9
  C. Consumer &                      3465     4365.4     5162.9           49
                                                                                    machinery
     Intermediate Goods
  Clinker                           137.3       97.4      119.8      -12.75    Machinery for                             15.56     19.76
  Crude petroleum                                                              misc. industry
                                    219.7      403.1      403.1       83.48
  Fertilizer                        196.9      597.5      694.1     252.51
                                                                               Petroleum           -23.99    6.17        16.25     16.87
  Dyeing and tanning                 84.2        112        129       53.21
       materials
                                                                               Industrial raw      28.13     15.33       12.27     33.77
  Raw cotton                        425.3      460.1      563.7       32.54
                                                                               materials
  Yarn                              260.6      305.5      366.4        40.6
                                                                               Others              18.69     17.32       13.73     24.9
  Textile and articles thereof      785.1      747.5      905.7       15.36
  D. Capital Goods & Others        2740.6     2762.9     3439.7       25.51
                                                                               Total               21.37     17.25       4.24      22.44
  Capital machinery                 752.2      541.5      661.9          -12
  Grand Total (A+B+C+D)            7999.4     8417.9    10231.1        27.9

                                                                   Source: Bangladesh Bank




                                                                                                   33
Inflation Impact: World prices
                                    % Change in commodity price index
                                                          Jan/Dec       Jan 09/Jan ‘08
                        Dec/Nov        Dec 08/Dec 07

                                                             4.1             -37
Commodity                 -14.1            -36.4
                                                             4.2             -25.5
Non-Energy                -6.8              18.4
                                                              4              -43
Energy                    -18.5            -42.7
                                                             5.7             -51.6
Crude                     -23.2            -53.6
                                                             7.7              na
Agriculture*              -4.0               na
                                                             6.4             -16.8
Food                      -2.7             -18.4
                                                             9.5             -16.1
Corn                      -3.0             -40.3
                                                             8.7             -35.2
Wheat                     -3.6             -23.2
                                                            10.8             -34
Soybean Oil               -6.5             -33.7
                                                             7.1              na
Sugar                     -4.0              -1.7
                                                              1              -41.4
Industrial Metals         -10.9            -36.4
                                                             5.2              na
Gold*                      7.3               na
                                                              -3              na
Fertilizers*              -10.9              na
         Sources: IMF; Estimations based on data provided by the IMF.
              * World Bank Index



                                                                        34
Global Financial Crisis May Negatively Impact Bangladesh's Export-Driven Economy
Global Financial Crisis May Negatively Impact Bangladesh's Export-Driven Economy
Global Financial Crisis May Negatively Impact Bangladesh's Export-Driven Economy
Global Financial Crisis May Negatively Impact Bangladesh's Export-Driven Economy

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Global Financial Crisis May Negatively Impact Bangladesh's Export-Driven Economy

  • 1. THE GLOBAL FINANCIAL CRISIS – LIKELY IMPACT ON BANGLADESH Study Conducted by BIDS-PRP Team: Ahmed, Mansur Mehedi, ATMS Zabid, I. Zohir, Salma C. Led by: Murshid, KAS. Paper presented to the BIDS-PRP seminar on 16 March, 2009 at BIDS Conference Hall, Agargoan, Dhaka-1207 1
  • 2. INTRODUCTION Figure : GDP Growth over preceding quarter, for the four quarters of 2008 of USA and EU European Commission forecast: GDP Growth 2 • Advanced economies like 1 USA, EU, Germany and UK are going to experience negative economic growth through out 0 2009; USA EU Germany UK -1 •The Economic Outlook sees US output gradually picking up from middle of next year as the -2 effects of the credit squeeze abate; and -3 •Weak household spending will limit recovery - US GDP is -4 projected to fall 1.6 percent in 2008Q1 2008Q2 2008Q3 2008Q4 2009, before rising 1.6 percent in 2010. Source: BEA and European commission, 2009. 2
  • 3. INTRODUCTION…. Figure : GDP Forecasts for USA and EU for 2009 Figure : Composite Leading Indicators for and 2010 Selected Countries OECD Area Euro Area Germany EU USA Germany UK United Kingdom United States 1.5 0 1 -0.5 0.5 0 -1 -0.5 -1.5 -1 -2 -1.5 2009Q 1 2009Q 2 2009Q 3 2009Q 4 2010Q 1 2010Q 2 2010Q 3 2010Q 4 -2.5 Jul-2008 Aug-2008 Sep-2008 Oct-2008 Nov-2008 Dec-08 urce: OECD, 2009 Source: EC, 2009 The vulnerability facing advanced economies is reflected in the OECD’s composite ading indicators which shows that downturn in the CLI has become flatter and has egun to turn upward between Oct-Dec 2008. GDP forecasts for EU even worse 3
  • 4. INTRODUCTION…. Table : IMF Projections about the Growth of Global Output Due to Recent Financial Crisis Projected Regions 2007 2008 2009 2010 World Output 5.2 3.5 0.5 3.0 Advanced Economies 2.7 1.0 -2.0 1.1 USA 2.0 1.1 -1.6 1.6 Euro area 2.6 1.0 -2.0 0.2 United Kingdom 3.0 0.7 -2.8 0.2 Developing Asia 10.6 7.8 5.5 6.9 China 13.0 9.0 6.7 8.0 India 9.3 7.3 5.1 6.5 Source: IMF, World Economic Outlook, January 2009. World growth is projected to slow from 5.2 percent in 2007 to 3.5 percent in 2008 to st over 0.5 percent in 2009 - recovery projected to begin later in 2009. Major emerging economies such as China, Brazil, Russia and India also affected. 4
  • 5. Linkages: Bangladesh and Global Economy Figure : Trend in Export-GDP ratio of Bangladesh ► Bangladesh’s export earnings Export-GDP Ratio 20.00 continuously rising since 1990s. 15.00 Export earnings are over 20 10.00 percent of our GDP. 5.00 ► The main driver exports is the 0.00 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 RMG sector which accounts almost four fifth of our total export Source: World Development Indicators, 2008. igure: Direction of Bangladesh’s Exports, 2007 earnings. Others Developing 19% ►The export sector is potentially Countries 12% vulnerable to the on-going financial crisis as it heavily depends on EU and US markets. Almost half of our EU USA 46% exports go to EU, while one quarter 23% goes to USA. Source: Direction of Trade, IMF, 2008. 5
  • 6. Forecasts Based on Export Demand Function: A SURE Approach ● To estimate the income elasticities for our exports to USA and EU, an attempt was made to estimate country specific and product specific export demand functions for Bangladesh. ● Literature: Weight of evidence - real income of the trading partners and relative prices are the determinants of export demand but magnitude of elasticity varies widely. ● This study estimates market specific disaggregated export demand behavior for Bangladesh’s exports using quarterly data and by applying seemingly unrelated regression (SUR) technique. ● Two major importing regions considered: USA, and Europe (EU-15). ● Demand theory identifies price as the main explanatory variable, and incomes, tastes and preferences, prices of related products (substitutes and complements) as demand shifters. Because of data limitations, a simplified model was estimated: Log X= α+βlogY+θlogE+u here X = Quantity of Export Demand, Y = Real GDP; E=Real Exchange Rate; and error term. 6
  • 7. Forecasts Based on Export Demand Function: A SURE Approach ….. le : Regression Results: Income and Exchange rate Elasticities Regions Products Income Elasticity Exchange Rate Elasticity USA Knitwear 0.2903911* 1.85298** Income Elasticity: Woven 0.2855428* 0.8005111* Fish 0.0086 0.7962688 ► Income elasticities for all items for Jute 0.241779 0.2557664 USA and EU are low but significant. Leather 2.329824* 5.307921* Exception: leather products export to Products USA which shows high positive and Rawhide 0.6911198** 2.042887** significant elasticity (more volatile); and Total 0.3680913* 0.7344868* fish and jute exports to USA – which European Knitwear 0.3850197* 0.0074014* have insignificant elasticity. Union Woven 0.386823* 0.0001788* ► The low income elasticities imply Fish 0.2326834* 0.0021747 that there is a small, positive Jute 0.1866102* 0.0071777* association between the income or Leather 0.0041508* 0.0017311* GDP of the importing countries and Products export demand from Bangladesh. Rawhide 0.1995184* 0.0040831* Total 0.4474187* 0.0035401* 7
  • 8. Forecasts Based on Export Demand Function: A SURE Approach ….. Exchange Rate Elasticity: ►These were derived in terms of USD and Euro vs BDT implying that increase in exchange rate (more taka per $ or E) means depreciation of BDT. ► For most commodities, exchange rate elasticities were positive and significant – implying that exports were responsive to exchange rate changes. ► Especially stronger response indicated for leather goods, rawhide and knit to USA. 8
  • 9. Forecasts Based on Export Demand Function: A SURE Approach ….. Table: Impact on Exports: Forecast for 2009 and 2010 (Percentages) Forecast for USA Markets Quarters 2009Q1 2009Q2 2009Q3 2009Q4 2010Q1 2010Q2 2010Q3 2010Q4 Knitwear -0.06 -0.29 -0.23 -0.03 0.15 0.26 0.35 0.41 Woven wear -0.06 -0.29 -0.23 -0.03 0.14 0.26 0.34 0.40 Fish 0.00 -0.01 -0.01 0.00 0.00 0.01 0.01 0.01 Jute -0.05 -0.24 -0.19 -0.02 0.12 0.22 0.29 0.34 Leather Products -0.47 -2.33 -1.86 -0.23 1.16 2.10 2.80 3.26 Rawhides -0.14 -0.69 -0.55 -0.07 0.35 0.62 0.83 0.97 Total -0.07 -0.37 -0.29 -0.04 0.18 0.33 0.44 0.52 Forecast for EU Markets Knitwear -0.04 0.00 0.08 0.23 0.31 0.39 0.42 0.50 Woven wear -0.04 0.00 0.08 0.23 0.31 0.39 0.43 0.50 Fish -0.02 0.00 0.05 0.14 0.19 0.23 0.26 0.30 Jute -0.02 0.00 0.04 0.11 0.15 0.19 0.21 0.24 Leather Products 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01 Rawhides -0.02 0.00 0.04 0.12 0.16 0.20 0.22 0.26 Total -0.04 0.00 0.09 0.27 0.36 0.45 0.49 0.58 Using EC GDP estimates: Qtr 2 and 3 are the worst periods for the US market with the leather sector especially hard-hit. In the EU market export growth is negative in qtr 1 of 2009 but improves slowly thereafter. 9
  • 10. Forecasts Based on Export Demand Function: A SURE Approach ….. Figure : Forecasts based on IMF Projections Export Forecast based on IMF Projections for 2009 USA EU -4 -3.5 -3 -2.5 -2 -1.5 -1 -0.5 0 Knitwear Woven Fish Jute Leather Rawhides Total wear Products ♦ IMF estimates show negative performance for all categories, especially leather ♦ If IMF GDP forecasts are used, whole of 2009 will post negative export growth. 10
  • 11. ACTUAL EXPORT PERFORMANCE Figure : Half Yearly Growth of Bangladesh’s Export Figure : Quarterly Exports of Bangladesh in (Year-over-Year) Million USD 25.39 24.93 Exports in Million USD 23.18 5000 25 4500 20 16.70 4000 3500 15 3000 9.22 2500 10 6.88 2000 1500 5 1000 0 500 Jan-June July-Dec Jan-June July-Dec Jan-June July-Dec 0 2005Q1 2005Q2 2005Q3 2005Q4 2006Q1 2006Q2 2006Q3 2006Q4 2007Q1 2007Q2 2007Q3 2007Q4 2008Q1 2008Q2 2008Q3 2008Q4 2006 2007 2008 Source: IFS, 2008 and Bangladesh Bank Source: IFS, 2008 and Bangladesh Bank •Export performance positive but December performance has raised concerns. 11
  • 12. ACTUAL EXPORT PERFORMANCE……. Table : Quarterly Growth of Exports of Major Items to USA Growth of Exports (Jul-Dec 2008 on July-Dec2007) (Year-on-Year) ►Bangladesh is experiencing BD USA* China India Pakistan Philippines Sri Lanka Vietnam positive export growth while oven 12.49 -3.62 5.06 -8.88 4.08 -3.87 7.82 many other emerging Asian economies already affected, nit 25.88 -1.57 4.71 0.24 -0.89 -3.18 -25.23 0.57 e.g. India, Philippines and Sri Lanka. ish -16.46 3.48 19.42 -17.99 -6.51 -20.58 -41.30 7.44 ► Bangladesh share of US ome extile 16.93 -3.99 -2.46 2.92 -9.39 1.34 -21.42 -25.36 market increasing at the expense of other countries. eadgears -11.53 3.12 5.44 -23.22 44.28 8.46 -11.47 7.89 ► Bangladesh exports rose in utes -19.76 2.55 -2.95 3.24 7.95 -7.71 the face of declining imports of RMG products in USA – lastics 6.69 2.02 10.48 33.61 -13.26 -0.04 15.31 imports fell almost 9% while BD exports rose 18% (last otal 13.57 2.59 5.48 4.93 2.49 -12.21 -3.10 20.19 qtr 2008). Source: Calculated based on data accessed from USITC, 2009. 12
  • 13. ACTUAL EXPORT PERFORMANCE able : Growth of Exports to EU (July-Oct 2008 over July-Oct 2007) ►However, Bangladesh is Banglade facing problems in EU market sh China India Pakistan Sri Lanka Woven -2.04 6.46 4.56 1.88 3.92 (especially in shrimp, Knit 6.66 32.11 -4.48 -1.57 2.07 headgear, jute and rawhides). Fish -15.88 4.51 -11.96 0.93 ► Bangladesh experienced <4 Home Textile 4.28 1.50 -4.33 0.15 -14.23 % export growth in EU market Headgears -20.02 5.08 12.91 10.09 -0.16 while all other countries Plastics 33.13 7.45 -3.72 127.99 -2.69 (except Sri Lanka) have Jutes -13.30 2.64 -2.48 -4.87 experienced higher growth Rawhide -25.44 -26.96 -12.20 -23.94 -35.00 than Bangladesh. Leather Products 15.23 -1.12 11.32 14.57 Total 3.58 7.23 10.91 7.45 1.57 Source: Calculated based on data accessed from Euro stat, 2009 The above data and analysis show that still Bangladesh has been coping well h the on going global financial meltdown, though there is a clear indication t growth rate of exports from Bangladesh is going to face a slow down. 13
  • 14. RELATIVE SUCCESS OF BANGLADESH: CLOSER FOCUS ON RMG Trend in US Apparel Sales and Import 20 Retail sales World Bangladesh 15 10 5 0 Quarter Quarter Quarter Quarter Quarter Quarter Quarter Quarter 17 27 37 47 18 28 38 48 -5 -10 • Retail clothing sales declined by 8.05 percent in the fourth quarter of 2008, and consequently US import of apparel declined by 2.94 percent. •But US import from Bangladesh increased by 18.5 percent during the fourth quarter of 2008. Main competitors of Bangladesh in US are Vietnam and Indonesia. 14
  • 15. RELATIVE SUCCESS OF BANGLADESH: CLOSER FOCUS ON RMG Figure: Product Diversification Product Div e rsification in RM G 100% Others 90% Share in RMG export 80% Sweater 70% T-Shirt 60% 50% Jackets 40% 30% Trousers 20% Shirts 10% 0% 95-96 96-97 97-98 98-99 99-00 00-01 01-02 02-03 03-04 04-05 05-06 06-07 07-08 08-09 (sept) ♦The share of knitwear increased; woven share fell. Bangladesh started as exporter of shirts, and has subsequently diversified to trousers, jackets, T-shirt and sweaters ♦ The share of shirts was 31.7 percent in 1995/96 but fell to 8.55 percent in 2007-08. On the other hand trouser share increased from 4.4 percent to 23.48 percent 15
  • 16. RELATIVE SUCCESS OF BANGLADESH: CLOSER FOCUS ON RMG Cost Advantage: Bangladesh has a clear cost advantage compared to its competitors. US imports from Bangladesh increased by 18.5 percent. The market share of BD in US market has increased from 4.19 percent in 2007 to 4.81 percent in 2008. Table : Price per doz in selected Asian countries: first half 2008 Quota on World Bang China India Pakistan Vietnam China Categories 347 Cotton M/B Trousers Q 70.44 52.54 85.50 82.85 55.18 61.86 340 Woven Shirts, M/B Q 80.50 47.68 83.40 63.61 23.59 61.11 348 W/G Slacks Q 60.08 47.76 85.50 82.85 55.18 54.17 338 Knit Shirts, M/B Q 30.64 22.12 60.41 42.73 33.18 45.24 647 Trousers M/B Q 53.73 35.17 73.20 84.44 32.46 64.10 352 Cotton underwear Q 10.88 8.69 17.93 12.88 10.79 11.95 341 W/G woven blouse 62.15 38.82 61.56 63.61 23.59 42.73 339 W/G knit blouse Q 33.84 22.36 55.22 37.51 20.95 34.83 Source: emerging textiles. 16
  • 17. Can this growth be sustained in 2009? ►The safeguard on China was withdrawn from January 1, 2009 in the US market. This may lead to a further reduction in prices as competition from China will intensify. ► Bangladesh has benefited from safeguard on China: Out of the top ten products of Bangladesh exported to USA in 2007, seven products had a quota on China. ► The closest competitor is Pakistan in terms of prices, but Bangladesh enjoys greater economic and political stability compared to Pakistan. ► China and India are high-end producers of these products. As restrictions are withdrawn from China, will they move back into lower end products?? 17
  • 18. Challenges in EU Market ●The European Union (EU) became the largest single market for clothing imports in 2007 (35% in woven and 58% in Knit; US: 48% in woven and 17% Knit). ● The end of quotas on China from 1st January 2008 brought downward pressure on prices in the EU clothing market and required the suppliers to become more efficient. ● During the period July-Oct, 2008, knitwear imports from Bangladesh rose by 6.9 percent, while that of woven declined by 2.2 percent. ● The share of Bangladesh fell from 17 to 15 percent while of India declined from 10 to 8 percent during this period (for Knit). ● For woven imports, the share of China increased from 74 to 75 percent, but declined for Bangladesh from 7 to 6 percent. 18
  • 19. REVIEW/ASSESSMENT OF MAJOR DEVELOPMENTS FOR RMG Increasing market share in US but decline in EU Sourcing from China become expensive as Chinese currency appreciated and labour laws were being implemented more rigorously. Relatively, Textile is considered to be a low price item in China and hence could potentially shift to Bangladesh. Hong Kong based buyers consider Bangladesh to be a reliable and stable supplier as other competing countries like India, China, Pakistan and Turkey were facing problems. A small diversion from China has been a big gain for Bangladesh. Bangladesh benefited from the safeguard measure against China in both EU and US. This helped expand capacity base. Diversifying to new markets Suppliers in Bangladesh have been trying to enter the Japanese market with little success. About 80 percent of the clothing export to Japan is from China. The other major supplier is Vietnam. Japan is a high quality market. By the end of 2008, buyers were searching for sourcing from other low cost countries, including Bangladesh – this is an opportunity. 19
  • 20. REVIEW/ASSESSMENT OF MAJOR DEVELOPMENTS FOR RMG Diversification to higher-end products By the end of 2008, the buyers started to search for suppliers for outer wear - jackets, men’s suits, in a bid to relocate away from China. For sweater, polo shirt, trousers (especially denim) and home textile Bangladesh has strong potential. BD is better than India in T-shirt and polo shirts. Vietnam and Cambodia does not have backward linkages for knitwear. BD also has good quality yarn, which reduces the lead-time for export. This trend needs to be strengthened. Figure: Cost advantage persists L a b o u r c o s t in c o m p e t in g c o u n t r ie s C h i n a ( In l a n d ) 250 In d i a 232 200 In d o n e s i a 195 S ri L a n k a B ang= 100 V ie t n a m 173 P a k is t a n 168 150 C a m b o d ia 100 B a n g la d e s h B a n g l a d e sh = 2 2 c e n t s/ h o u r Source: Jassin O’Rourke, 2008 20
  • 21. Emerging Risks ►Financing: local bank issue of BB/LC based on mother LC – potential risk ► Decline in mother L/C - replaced by direct contracts, based on which local banks open BB/LC. This increases risk of default. ► LCs favour buyers: after goods shipped some buyers seek to change terms - agree to pay 30 percent and remainder to be paid only if goods are sold or goods returned! ► Request for Discount: Most European buyers demand 2 to 5 percent discount on prices. ► Request to delay shipment 21
  • 22. IMPACT ON REMITTANCES Current remittance earnings of Bangladesh are about $9 billion (compare RMG expor of around $11 billion) and (put it in perspective, equivalent to 9.5 % of GDP). Factors determining remittance are numerous (host and home country GDP, exchang rate, no. of migrants, earnings, length of stay, education of migrant, inflation rate and interest rate differentials, household incomes and employment) Table :Top remittance recipient developing countries (million US $) Fig. 10: Top ten remittance-recipient country year % change developing countries in 2007 & 2008 over 2007 35 40 2006 2007 2008e 35.62 35 30 India 25,426 27,000 30000 11.11 30 billion US $ 25 25 24.09 China 23,319 25,703 27000 5.05 % change 20 20 18.37 Mexico 25,052 25,037 23800 -4.94 15 14.79 15 11.11 10 Philippines 15,251 16,291 18700 14.79 8.45 5.47 5.05 4.80 5 10 Poland 8,496 10,496 11000 4.80 0 5 Nigeria 5,435 9,221 10000 8.45 -4.94 -5 - -10 Egypt 5,330 7,656 9500 24.09 ak h gl ia ia Ma a d n es om t o es p n an di an ta er ic Romania 6,718 8,533 9000 5.47 gy hi in In ex ad is ig ol C lip E N P hi R P an Bangladesh 5,428 6,562 8900 35.62 P B 2007 2008e % change over 2007 Pakistan 5,121 5,998 7100 18.37 Source: World Bank staff estimates based on the International Monetary Fund's Balance of Payments Statistics Yearbook 2008. 22
  • 23. IMPACT ON REMITTANCES From 2003 to 2008, world remittance flows have almost doubled ($206 to 375 billion) Developing countries – similar trend (from $143 b to 283 b) Estimated that 50% routed through informal channels (World Bank 2006) BD share of world remittance market: 2.4% (rising from 1.8% in 2006). USA, KSA and UK account for almost 60%. The largest recipients are India ($30 billion), followed by China ($27 billion). Remittance flows to developing countries increasing even in year 2008, when GDP rowth rates declining worldwide. Growth in BD in 2008 striking! M onthly inflow of re m ittance (m illion US $) 0 Remittance inflow from all % change (y- 0 countries o-y) 0 Country 2007 2008 0 0 U.S.A 1086.88 1582.49 45.60 0 U.K 889.74 823.42 -7.45 0 Kuwait 768 949.53 23.51 0 K.S.A 1788.28 2733.69 52.87 0 0 U.A.E 938.15 1379.54 47.04 0 Malaysia 29.71 165.03 455.47 Total 6568.03 9019.6 37.33 Year:2007 Year:2008 Year:2009 23
  • 24. Actual Remittance Inflows by Major Source Countries Remittance from U.S.A (2007 & 2008) Remittance earnings from UK 160 100 (2007 & 2008) 90 140 100 30 80 120 20 million US $ 70 17.54 Tk per US $ 15.55 80 illion U $ 11.24 10 100 8.83 % change 60 S 3.16 1.79 0 60 80 50 -2.73 -6.47 -10 40 60 40 -17.46 -18.59 -20 30 40 -30 M 20 20 -40 20 -42.00 -44.21 10 0 -50 0 0 ber ber ber November September December June January July arch ctober February ay April August June January July March October February May April August ovem ecem Septem M M O N D U.K-07 U.K-08 % change U.S.A-07 U.S.A-08 % change ●End of 2008 a suggestion of lower growth Remiitance earnings from Saudi Arabia(2007 & 2008) 300 100 % change over previous on monthly basis 90 87.03 250 80 illion U $ 72.24 70 200 S ● Highest increase from Malaysia and lowest 61.47 63.85 61.90 60 59.37 150 47.11 50 (negative growth) from UK ! 39.89 40 39.63 38.46 37.81 38.35 100 30 M 20 50 ● March-April peak more pronounced! 10 0 0 ber ber ber June January July arch ctober February ay April August ovem Septem ecem M M O N D Saudia Arabia-07 Saudia Arabia-08 % change Source: Bangladesh Bank 24
  • 25. What next? • Most of the oil exporting countries are taking expansionary monetary policy to encourage large investments and consumption expenditure based on bank credit – good for employment • Bulk of the share of earnings (above 60 percent) come from Middle East - it could be that remittance inflows from Middle East will offset the negative growth- expected to arise from U.S.A and U.K. Reasons for Cautious Optimism: • The rising share of skilled labor in total overseas employment of Bangladeshi workers in 2008 over 2007 • Stable exchange rate: better than volatility • Remittance flows do not seem to be influenced by GDP growth rate (host, World) • Accumulated stock of migrants large and rising. • The rising trend of remittance inflows in most developing countries including Bangladesh in the last year – and increasing share of BD. 25
  • 26. ur remittance earnings are Remittance out flows from t influenced by the World Saudi Arabia not influenced DP growth rate by oil prices Comparison of remittance growth with world Remittance outflows from Saudi Arabia not 80 real GDP growth inluenced by oil prices 80 20 60 70 rem ittance growth 40 60 15 B illio n U S $ 50 20 US $ 40 10 30 0 20 5 -20 10 0 0 -40 y 1976 y 1977 y 1978 y 1979 y 1980 y 1981 y 1982 y 1983 y 1984 y 1985 y 1986 y 1987 y 1988 y 1989 y 1990 y 1991 y 1992 y 1993 y 1994 y 1995 y 1996 y 1997 y 1998 y 1999 y 2000 y 2001 y 2002 y 2003 y 2004 y 2005 y 2006 y 2007 y1978 y1979 y1980 y1981 y1982 y1983 y1984 y1985 y1986 y1987 y1988 y1989 y1990 y1991 y1992 y1993 y1994 y1995 y1996 y1997 y1998 y1999 y2000 y2001 y2002 y2003 y2004 y2005 y2006 y2007 y2008 brent oil(US $/barrel) remittance outflows from Saudi Arabia World GDP growth remittance growth Source: Monthly oil Market Report, OPEC, february,2009 rce: World development indicator-2008 26
  • 27. The rising share of skilled The rising trend of total labor in total overseas no. of migrants employment Growth comparioson-Renittance earnings vs Distribution of overseas employment by different no. of overseas employment profession 100% 1 10 0.9 9 re m itta n ce e a rn in g s (b illio n U S 4 2 .9 7 4 4 .5 4 80% 0.8 8 no. of e m ploy m e nt 4 8 .8 8 5 1 .5 4 5 2 .4 4 5 8 .0 0 6 0 .5 9 0.7 7 M illio n s 0.6 6 60% 0.5 5 9.71 $) 20.18 7.35 15.19 0.4 4 15.18 40% 8.90 0.3 3 22.06 3 4 .7 6 4 4 .9 8 0.2 2 3 2 .1 2 3 2 .0 1 20% 3 2 .1 6 3 0 .2 7 0.1 1 1 9 .8 6 0 0 6.34 4.72 3.9 0.77 0.24 0.08 0.21 0% y 1995 y 1996 y 1997 y 1998 y 1999 y 2000 y 2001 y 2002 y 2003 y 2004 y 2005 y 2006 y 2007 y 2008 y1976- y1986- y1996- y2005 y2006 y2007 y2008 y1985 y1995 y2004 no. of overseas w orkers remittance Skilledyear Semi-skilled Professional Unskilled Source: World development indicator-2008 Source: BMET 27
  • 28. Impact of migrants on remittances – staggered effects of migration on remittances? Table: Regression Results Dependent variable: Log of Remittance inflows Explanatory variables Coefficient t-value Exchange rate 0.04* 6.38 Log of no. of overseas workers (t) 0.64* 2.65 Log of no. of overseas workers lagged by one year), t+1 0.43* 1.94 •indicates significance at the 5 % level Source: Authors Estimate We wanted to check if there was a staggered effect of migration on remittances. In fact, the staggered effect is quite pronounced although not as strong as the current year effects. In other words the current migrants have a significant impact on remittance flows in the current period, with remaining effect (also significant) staggered over time. 28
  • 29. Exchange rate effect: Significant but small? Exchange rate effect on remittance Taka per currency asssuming January'07 900 70.5 as hundred 120 70 800 115 69.5 700 110 69 105 tk per currency 600 68.5 Tk per $ 100 500 68 95 400 90 67.5 300 85 67 80 200 66.5 75 100 66 70 0 65.5 Jan,07 Feb,07 ar,07 ay,07 Jun,07 July,07 Oct,07 Nov,07 Dec,07 Jan,08 Feb,08 ar,08 ay,08 Jun,08 July,08 Oct,08 Nov,08 Dec'08 Jan'09 ept,07 ept,08 pr,07 ug,07 pr,08 ug,08 Nov,06 Nov,07 Nov,08 July,06 Jan,07 Jun,07 July,07 Jan,08 Jun,08 July,08 Aug,06 Sept,06 Oct,06 Dec,06 Feb,07 Mar,07 Apr,07 May,07 Aug,07 Sept,07 Oct,07 Dec,07 Feb,08 Mar,08 Apr,08 May,08 Aug,08 Sept,08 Oct,08 M M M M A A A A S S EURO Indian Rupee Japanese Yen US Do llar remittance(million $) exchangerate(tk per us $) U.K.P o und Sterling chinese Yuan Source: Economic trend Of Bangladesh Bank, January,2009 ►The graph shows that even in the face of a stable exchange rate since September 2007, remittances continued to rise rapidly. 29
  • 30. Reasons for concern ● New visas not being issued by Saudi Arabia (but not related to GFC) ● Kuwaiti visas not issued for last 3 years (but not related to GFC) ● U.A.E, Qatar, Malaysia Singapore, Bahrain remain risky destinations – visas could be stopped at any time. ● U.A.E has stopped or suspended many construction projects worth of $582 billion – definitely related to GFC. According to BMET each day about 6000 clearances were given in early 2007 – dropped to 3000 in 2008. In December 2007, 77977 clearances issued whereas in 2008 it fell to 44378. Can we attribute this to GFC? Perhaps only partly – but nevertheless worrying. ►In a nutshell, Growth rate in remittances likely to slow down a little in 2009-10; UK situation is poor; USA – no sign of downturn yet; Middle East – how worried should we be? 30
  • 31. IMPLICATIONS FOR IMPORTS ●Bangladesh imports as a share of GDP has been rising over the past three decades. In 2007-08, 27% of Bangladesh’s GDP was spent on imports ● 76% of export earnings are due to RMG and 54% of this is used to import RMG inputs. % change of total import by month 50 45 40 35 % change 30 25 20 15 10 5 0 September November June January July March October February May April August % change over 2007 % change over 2006 Source: Bangladesh bank 31
  • 32. IMPLICATIONS FOR IMPORTS ■Overall import so far has increased by 31 percent in 2008 over 2007 ■ Total merchandise imports showed a robust 35 percent growth during July-October 2008 despite a sharp decline in imports of food grains over the corresponding period of the previous fiscal year ■ Non-food imports, especially fertilizer, crude and raw materials expanded ■ Intermediate and capital goods imports expanded significantly Much of the imports seem to have gone to productive, capacity enhancing sectors. This will put us in a better position to address any adverse effects of the GFC. 32
  • 33. Percentage Change in Import LCs Composition of Import (million US $) Opened & Setteled 2007 2008 July-Dec. 2007- July-Dec. 2008- Items July-Nov July-Oct July-Nov % change 08 09 (4 over 2) Opening Settlemen Openin Settleme A. Food Grains 492.2 239.7 367.2 -25.4 Commodity t g nt Rice 252.3 158.5 187.5 -25.68 Wheat 239.9 81.2 179.7 -25.09 Food grains( rice 256.47 164.48 -55.99 -35.83 Edible oil 411.1 311.6 368.9 -10.27 & wheat) Sugar 130 156.4 182.9 40.69 Capital -3.4 -7.74 -20.68 13.9 C. Consumer & 3465 4365.4 5162.9 49 machinery Intermediate Goods Clinker 137.3 97.4 119.8 -12.75 Machinery for 15.56 19.76 Crude petroleum misc. industry 219.7 403.1 403.1 83.48 Fertilizer 196.9 597.5 694.1 252.51 Petroleum -23.99 6.17 16.25 16.87 Dyeing and tanning 84.2 112 129 53.21 materials Industrial raw 28.13 15.33 12.27 33.77 Raw cotton 425.3 460.1 563.7 32.54 materials Yarn 260.6 305.5 366.4 40.6 Others 18.69 17.32 13.73 24.9 Textile and articles thereof 785.1 747.5 905.7 15.36 D. Capital Goods & Others 2740.6 2762.9 3439.7 25.51 Total 21.37 17.25 4.24 22.44 Capital machinery 752.2 541.5 661.9 -12 Grand Total (A+B+C+D) 7999.4 8417.9 10231.1 27.9 Source: Bangladesh Bank 33
  • 34. Inflation Impact: World prices % Change in commodity price index Jan/Dec Jan 09/Jan ‘08 Dec/Nov Dec 08/Dec 07 4.1 -37 Commodity -14.1 -36.4 4.2 -25.5 Non-Energy -6.8 18.4 4 -43 Energy -18.5 -42.7 5.7 -51.6 Crude -23.2 -53.6 7.7 na Agriculture* -4.0 na 6.4 -16.8 Food -2.7 -18.4 9.5 -16.1 Corn -3.0 -40.3 8.7 -35.2 Wheat -3.6 -23.2 10.8 -34 Soybean Oil -6.5 -33.7 7.1 na Sugar -4.0 -1.7 1 -41.4 Industrial Metals -10.9 -36.4 5.2 na Gold* 7.3 na -3 na Fertilizers* -10.9 na Sources: IMF; Estimations based on data provided by the IMF. * World Bank Index 34