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Date




                               Ting Lu +852 2536 3718
                               China economist
                               Merrill Lynch (Hong Kong)
                               ting.lu@baml.com

       China’s landing
  in the short and long run:

       Hard or soft?




                                                               Product ID

                                                           1
China in 2011-20: The major challenge:
                                                                      Aging population
  Date



 The aging population
                                                                                                  • As of 2010: Age 0-14: 16.6%; Age 15-
    million person
  350                                                                                             59: 70.1%; Age 60 or above: 13.3%; 65
  300                                                                                             and above: 8.9%.
  250

  200
  150
                                                                                                  • Compare with 2000,Ratio of age
  100
   50
                                                                                                  group 0-14 declined 6.3 ppt, ratio of age
         1989    1991    1993     1995    1997 1999   2001 2003 2005         2007   2009   2011   group 15-59 rose 3.4ppt, ratio of 60 and
                                           Age 0-14     Age 65 and abov e
                                                                                                  above rose 2.9 ppt,ratio 65 and above
                                                                                                  rose 1.9 ppt.
   The falling size of young working age population

         million person
   600                                                                                            • The size of age group 20-34 peaked in
                                                                                                  2000, and dropped 22.0% from 2000 to
   500
                                                                                                  2008.
   400

   300
                                                                                                  • The size of age group 20-44 peaked in
   200
                                                                                                  2000, and dropped 3.6% from 2000 to
         1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010
                                    Age 20-44           20-39               20-34
                                                                                                  2008.

Source: CEIC, BofA Merrill Lynch calculations.
                                                                                                                                              2
Date                                        Lewis turning point in China

       1.6
       1.5                                                     Impact of global
       1.4                                                     financil crisis
                                     Lew is turning
       1.3
                                     point in China
       1.2
       1.1
       1.0
       0.9
       0.8
       0.7
       0.6
             2001   2002   2003   2004   2005   2006   2007   2008    2009       2010   2011   2012
                                         Labor supply-demand ratio
   More people from villages to cities? Urbanization ratio rose to 51.3% in 2011 from
   36.2% in 2000. Net increase in urban population is 253mn in the period of 2000-2010.
   Migrant population rose 81% to 261mn in the same period.
                                                                                                      3
Date




                                                 %




                   30
                        40
                             50
                                  60
                                       70
                                            80
                                                 90
            1960
            1963
            1966
            1969
            1972
            1975
            1978
            1981




    Japan
            1984
            1987
            1990
            1993
    China   1996
            1999
            2002
            2005
                                                      Dependency ratio: China vs. Japan




            2008
            2011
4
Date                       China’s consumption (%) of global commodities

%
60

50

40

30

20

10

 0
       2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
                        Steel     Aluminum      Copper
                                                                     5
Date                        China’s consumption (%) of global energy

 %                                                                     %
50.0                                                                 12.0
45.0                                                                 10.5
40.0                                                                 9.0
35.0                                                                 7.5
30.0                                                                 6.0
25.0                                                                 4.5
20.0                                                                 3.0
15.0                                                                 1.5
10.0                                                                 0.0
       2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
                         Coal (LHS)      Oil (RHS)
                                                                      6
10
                         12
                         14
                         16




                          0
                          2
                          4
                          6
                          8
                         %
                  1980                 Date

                  1982
                  1984
                  1986
                  1988
                  1990
                  1992
                  1994
                  1996
                  1998
                  2000
                  2002
                  2004




    GDP grow th
                  2006
                  2008
                  2010
                  2012
                  2014
                  2016
                  2018
                  2020
                  2022
                  2024
                              Impact on growth: double digit is history




7




                  2026
Still backward: Versus other countries
Date




                                                                  0.950 and over   0.700–0.749   0.450–0.499
                                                                  0.900–0.949      0.650–0.699   0.400–0.449
                                                                  0.850–0.899      0.600–0.649   0.350–0.399
                                                                  0.800–0.849      0.550–0.599   under 0.350
                                                                  0.750–0.799      0.500–0.549   not available



  China and World Human Development Index. Source: UNDP, 2008 update




                                                                                                                 8
Date                                              Sill backward: Versus the US


              12                       China in 2010               China          Japan
  Real growth of GDP per capita,



                                                  Japan 1960s      Hong Kong, Singapore,
              10
                                                                   Korea and Taiw an
                    8

                    6                                                      Japan 1980s
                 %




                    4

                    2

                    0
                                   0      25          50           75           100        125
                                               GDP per capita, as % of US

                                                                                            9
Date
                                                                                                       China’s capital stock
     Total length of railroad                                                                                        Number of airports

    KM
                                                                                                                     15,000
    250,000
                                                                                                                     13,000
    200,000
                                                                                                                     11,000
    150,000                                                                                                           9,000
                                                                                                                      7,000
    100,000
                                                                                                                      5,000
     50,000                                                                                                           3,000
           0                                                                                                          1,000
                                                                                                                     -1,000
                                                 India
                   US




                                                                                                       UK
                                      China




                                                                                                             Korea
                                                                                 Brazil
                           Russia




                                                                                            Japan
                                                                      France
                                                            Germany




                                                                                                                                                                                                                                                India
                                                                                                                               US




                                                                                                                                                                                                UK
                                                                                                                                             Brazil


                                                                                                                                                              Russia




                                                                                                                                                                                                             China




                                                                                                                                                                                                                                                                Japan


                                                                                                                                                                                                                                                                                Korea
                                                                                                                                                                                                                              France
                                                                                                                                                                                 Germany
     Total length of paved roadway                                                                                   Number of vehicles per 1000 people
    KM
    7,000,000                                                                                                        900
    6,000,000                                                                                                        800
                                                                                                                     700
    5,000,000
                                                                                                                     600
    4,000,000                                                                                                        500
    3,000,000                                                                                                        400
    2,000,000                                                                                                        300
                                                                                                                     200
    1,000,000
                                                                                                                     100
               0                                                                                                       0
                                        India
                    US




                                                                                                        UK


                                                                                                             Korea
                              China




                                                              Japan
                                                   Brazil




                                                                        France


                                                                                   Russia


                                                                                             Germany




                                                                                                                                                                                                                                                                        India
                                                                                                                              US




                                                                                                                                                                                           UK


                                                                                                                                                                                                     Korea
                                                                                                                                                      Japan




                                                                                                                                                                                                                                                        China
                                                                                                                                                                                                                                       Brazil
                                                                                                                                    France




                                                                                                                                                                                                                     Russia
                                                                                                                                                                       Germany




Source: CEIC, BofA Merrill Lynch calculations.                                                                                                                                                                                                                                    10
Date                                                        Flying geese: This time it’s domestic flight

          Less developed regions in China could see
          higher growth going forward as growth
          trickles down from more developed areas.
          Differentiation in GDP growth across
          regions will provide rich implications for
          investment.


     Regional differentiation in GDP growth

    %         YoY
   16

   14

   12

   10

      8

      6
                 1998
                            1999
                                       2000
                                                 2001
                                                        2002
                                                               2003
                                                                      2004
                                                                             2005
                                                                                    2006
                                                                                           2007
                                                                                                  2008
                                                                                                         2009
                                                                                                                2010
                                                                                                                       2011
                          National                             Central                     East                    West
Source: CEIC, BofA Merrill Lynch calculations.

                                                                                                                              11
Date                 The great leap forward in human capital

   Million person
   8
   7
   6
   5
   4
   3
   2
   1
   0
       1978
       1981
       1984
       1987
       1990
       1993
       1996
       1999
       2002
       2005
       2008
       2011
           New ly enrolled          Fresh graduates

                                                           12
Date   And the reversal of brain drain




                                         13
Date                                  Lewis turning point: Impact on wage


       % YoY
   24

   20

   16

   12

       8
           2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

                 Wage at State Ow ned Enterprises     Urban Collectiv es


                                                                            14
Date                                Inflation: Chinese style


 Jan 2001 =1
    2.0
       1.8
       1.6

       1.4
       1.2
       1.0
       0.8
             2001   2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
                             Food      Clothing    Transport & Telecom



                                                                             15
China could overtake the US on nominal GDP
Date




USD, bn
50000

40000

30000

20000

10000

       0
           1980
                  1982
                  1984
                         1986
                         1988
                         1990
                                1992
                                1994
                                       1996
                                       1998
                                              2000
                                              2002
                                                     2004
                                                     2006
                                                            2008
                                                            2010
                                                                   2012
                                                                   2014
                                                                          2016
                                                                          2018
                                                                          2020
                                                                                 2022
                                                                                 2024
                                                                                        2026
                                       China GDP in USD      US GDP

                                                                                           16
Date       Growth in 2012-13: “W”-shape?

%YoY                                %QoQ, sa
14                                        4.0

12                                         3.5

                                           3.0
10
                                           2.5
 8
                                           2.0
 6
                                           1.5
 4
                                           1.0
 2                                         0.5

 0                                         0.0
       1Q08
       2Q08
       3Q08
       4Q08
       1Q09
       2Q09
       3Q09
       4Q09
       1Q10
       2Q10
       3Q10
       4Q10
       1Q11
       2Q11
       3Q11
       4Q11
       1Q12
       2Q12
       3Q12
       4Q12
       1Q13
       2Q13
       3Q13
       4Q13
        YoY (LHS)   QoQ. Sa (RHS)
                                             17
Date                                                                   Signs of slowdown
Power consumption                                                          Oil processing and metal output

  %YoY                                                                      % YoY
  30                                                                       40

                                                                           30
  20
                                                                           20
  10
                                                                           10
   0
                                                                            0
  -10
                                                                           -10
         1Q07
         2Q07
         3Q07
         4Q07
         1Q08
         2Q08
         3Q08
         4Q08
         1Q09
         2Q09
         3Q09
         4Q09
         1Q10
         2Q10
         3Q10
         4Q10
         1Q11
         2Q11
         3Q11
         4Q11
         1Q12
         2Q12
          July
                                                                                 2007      2008        2009      2010      2011       2012
              Pow er consumption      2nd industry        3rd industry                      Crude oil processing      Ten non-ferrous metals



Cement and steel                                                          PMI and IP

  % YoY                                                                    %                                                                     % YoY
 50                                                                        60                                                                       25
 40
                                                                           55                                                                         20
 30
 20                                                                        50                                                                         15
 10
                                                                           45                                                                         10
  0
 -10                                                                       40                                                                         5
 -20
                                                                           35                                                                         0
       2007     2008      2009       2010        2011      2012
                                                                             2005       2006   2007     2008   2009    2010      2011     2012
                            Cement          Crude steel                                                    PMI      IP (RHS)
                                                                                                                                                 18
Date                                                                                                         Analyze and predict the slowdown
The declining ratio of exports to GDP                                                                                The three major demand-side components of GDP

                                                                                                                       % y oy
 %
                                                                                                                      50
40                                                                                                                    40
                                                                                                                      30
30                                                                                                                    20
                                                                                                                      10
20                                                                                                                     0
                                                                                                                     -10
10                                                                                                                   -20
                                                                                                                     -30




                                                                                                                          1Q05
                                                                                                                                 3Q05
                                                                                                                                        1Q06
                                                                                                                                               3Q06
                                                                                                                                                      1Q07
                                                                                                                                                             3Q07
                                                                                                                                                                    1Q08
                                                                                                                                                                           3Q08
                                                                                                                                                                                  1Q09
                                                                                                                                                                                         3Q09
                                                                                                                                                                                                1Q10
                                                                                                                                                                                                       3Q10
                                                                                                                                                                                                              1Q11
                                                                                                                                                                                                                     3Q11
                                                                                                                                                                                                                            1Q12
 0
     1980
            1982
                   1984
                          1986
                                 1988
                                        1990
                                               1992
                                                      1994
                                                             1996
                                                                    1998
                                                                           2000
                                                                                  2002
                                                                                         2004
                                                                                                2006
                                                                                                       2008
                                                                                                              2010
                                                                                                                                        Real FAI grow th                            Real retail sales grow th
                                                                                                                                        Real ex port grow th
                                                 Ratio of ex ports to GDP

The enlarging gap between FAI and GFCF in China
                                                                                                                       Value added of exports accounts for about half of
 RMB, bn                                                                                                               headline value of exports in China. In 2011,
30,000
                                                                                                                       exports contributed 13% of GDP.
25,000
20,000
                                                                                                                       In 2011, FAI and real estate FAI makes up 47%
15,000
                                                                                                                       and 10.0% of GDP respectively.
10,000
 5,000
        0
                                                                                                                       In value added terms (by stripping out imported
                                                                                                                       capital goods and raw materials for FAI), FAI
            1990
            1991
            1992
            1993
            1994
            1995
            1996
            1997
            1998
            1999
            2000
            2001
            2002
            2003
            2004
            2005
            2006
            2007
            2008
            2009
            2010
            2011




                    Gross Fix ed Capital Formation                                              Headline FAI           contributes 42% of China’s GDP. Value added of
                                                                                                                       consumption contributed 45% to GDP in 2011.

                                                                                                                                                                                                                            19
Date                                Consumption is still supported by robust income growth



         % YoY
       25

       20

       15

       10

        5

        0
            2003   2004     2005   2006     2007      2008         2009    2010      2011       2012
                   Retail Sales    Urban income per capita, y td          Rural income per capita, y td

                                                                                                          20
Date                                                  Sources of slowdown: External demand

      %,y oy
   6.0
                                                                                                    Forecast
   5.0
   4.0
   3.0
   2.0
   1.0
   0.0
  -1.0
  -2.0
         1Q2010

                  2Q2010

                           3Q2010

                                    4Q2010

                                             1Q2011

                                                       2Q2011

                                                                3Q2011

                                                                         4Q2011

                                                                                  1Q2012

                                                                                           2Q2012

                                                                                                    3Q2012

                                                                                                             4Q2012

                                                                                                                      1Q2013

                                                                                                                               2Q2013
                                                      US           EA             Japan



                                                                                                                                        21
Date                                                                      Sharp decline of export growth
Exports, imports and trade surplus                                                                 The sub-index Export orders of PMI and export growth
% YoY                                                                                  USD bn
80                                                                                          40                                                                                                   % YoY
                                                                                                  75                                                                                                60
60                                                                                          30    65                                                                                                40

40                                                                                          20    55                                                                                                20

20                                                                                          10    45                                                                                                0

                                                                                                  35                                                                                                -20
 0                                                                                          0
                                                                                                  25                                                                                                -40
-20                                                                                         -10




                                                                                                        Jan-05



                                                                                                                 Jan-06



                                                                                                                             Jan-07



                                                                                                                                          Jan-08



                                                                                                                                                     Jan-09



                                                                                                                                                                 Jan-10



                                                                                                                                                                            Jan-11



                                                                                                                                                                                        Jan-12
-40                                                                                         -20
                                                                                                                          PMI: Ex port orders          China's ex port grow th (RHS)
      2005    2006          2007       2008     2009       2010        2011     2012
                            Trade balance (RHS)      Exports        Imports

Major destinations of China’s exports                                                              Processing imports and exports
  % YoY
  80                                                                                              % YoY
                                                                                                  80
  60
                                                                                                  60
  40                                                                                              40
  20                                                                                              20

      0                                                                                            0
                                                                                                  -20
 -20
                                                                                                  -40
 -40
                                                                                                        2004     2005       2006         2007       2008        2009       2010        2011         2012
       2007          2008           2009             2010           2011        2012                                                  Processing ex ports        Processing imports
                                  ASEAN         EU          Japan          US


                                                                                                                                                                                                        22
Date                                  Property FAI growth has been falling

% YoY
60
50
40
30
20
10
  0
-10
       2007   2008              2009           2010        2011         2012
                     Infrastructure       Manufacturing   Real estate
                                                                               23
Date                                            Property FAI growth more stable than starts, but….


 %YoY
 80
 60
 40
 20
       0
-20
                    Sep-06



                                      Sep-07



                                                        Sep-08



                                                                          Sep-09



                                                                                            Sep-10



                                                                                                              Sep-11
           Mar-06



                             Mar-07



                                               Mar-08


                                                                 Mar-09



                                                                                   Mar-10



                                                                                                     Mar-11



                                                                                                                       Mar-12
                       Property FAI                                                   New Home Starts
                       Home completion                                                Home under construction
                                                                                                                                24
Date                                       Policy-making amid the leadership transition




              Start of China’s
              housing reforms
                                                                       Local govts’
                                                                       five years




       1998                      2002/03                   2007/08                    2012/13

                                                   Hu and Wen’s 10 years




                                                                                                25
Date
                       The economics of drainage


                                 New or Expansion

       Manufacturing
       Capacity
                                 Relocation (from
                                 coast to inland)               √
FAI


                                  Low-cost public housing           √
        Infrastructure
        and housing               Low profile infrastructure        √

                                  High profile infrastructure


                                  Private housing

                                                                        26
Date                                                          How do local govts fund infrastructure in the future?

The sharp difference between central and local govt                           • Over the past weekend, the heaviest rainstorm in Beijing in
                                                                              61 years has killed 37 people and stranded numerous cars
   RMB, bn
30000
                                                                              on drowned streets and underpasses.

25000                                                                         • Why Beijing lacks some basic infrastructure despite
                                                                              enormous investment in pass years? Why some
20000
                                                                              infrastructure like highways is favored and some other
15000                                                                         infrastructures are disfavored by governments?
10000
 5000                                                                         • The answer lies in a better understanding of the special
    0                                                                         structure of the Chinese government and public finance and
         1999   2001    2003        2005       2007      2009          2011   the solution also lies in a fiscal reform. In China, with a few
                               Central     Local                              exceptions like railway, almost all infrastructures were built
                                                                              by local governments, which are prohibited from raising
                                                                              money from bond markets but are under pressure to boost
                                                                              GDP growth.
Fiscal revenue of local and central govt
                                                                              • With this backdrop, local officials naturally biased their
RMB, bn
10,000                                                                        spending towards productive investment projects like
                                                                              highways, roads, ports and industrial parks which could
 8,000                                                                        boost GDP growth, while cut spending on drainage, subway,
 6,000
                                                                              social housing and hospital which are good for social welfare
                                                                              but are less productive in the near term.
 4,000
                                                                              • It’s not all local government’s fault. Prohibited from
 2,000
                                                                              borrowing long-term funding from capital markets, local
    0                                                                         governments have to rely on relatively short-term loans for
         1999   2001   2003       2005      2007      2009      2011          funding their infrastructure spending, but they have to favor
                               Central        Local                           those profitable projects which could generate enough cash
                                                                              flow for repaying bank loans.
                                                                                                                                           27
Date                                                      Social housing: the great leap forward?

mn square meters
800
700
600
500
400
300
200
100
  0
         1996
                1997
                       1998
                              1999
                                     2000
                                            2001
                                                   2002
                                                          2003
                                                                 2004
                                                                        2005
                                                                               2006
                                                                                      2007
                                                                                             2008
                                                                                                    2009
                                                                                                           2010
                                                                                                                  2011
                                                                                                                         2012
                                                                                                                                2013
                                                                                                                                       2014
                                                                                                                                              2015
                                                   Social housing                     Commodity housing

                                                                                                                                                 28
Date                                       Agflation in China again?



  %YoY                                                                                         %YoY
  40                                                                                             10

                                                                                                 8
  30
                                                                                                 6

                                                                                                 4
  20
                                                                                                 2

                                                                                                 0
  10
                                                                                                 -2

       0                                                                                         -4
           97   98   99   00    01   02    03   04   05   06   07   08   09   10   11     12
                           M1         M2         CPI (Moved backward for 6 months, RHS)



                                                                                                     29
Date                                            The changing difference between CPI and PPI



 % YoY
  12
                                                                                                      Forecast
       8

       4

       0

       -4

       -8
            Jan-08


                     Jul-08


                              Jan-09


                                       Jul-09


                                                  Jan-10


                                                           Jul-10


                                                                    Jan-11


                                                                               Jul-11


                                                                                        Jan-12


                                                                                                 Jul-12


                                                                                                           Jan-13
                                                  CPI                        PPI




                                                                                                                    30
Date                           CRB, Brent oil spot price vs PPI inflation

% YoY                                                                   % YoY
100                                                                         15
 80
 60                                                                         10
 40
                                                                            5
 20
  0
                                                                            0
-20
-40                                                                         -5
-60
-80                                                                         -10
       2005   2006   2007      2008    2009     2010     2011    2012
         CRB cmdty (2m fw d)          Brent oil spot (2m fw d)      PPI (RHS)

                                                                             31
Date                                                        China’s grain consumption as percentage of global
Corn prices: China and US                                                       Soybean prices: China and US
RMB/Ton                                                       USD/Bushel        RMB/Ton                                                     USD/Bushel
3,000                                                                      10   6,000                                                              20
                                                                                5,500                                                              18
                                                                           8    5,000                                                              16
2,500
                                                                                4,500                                                              14
                                                                           6
2,000                                                                           4,000                                                                    12
                                                                           4    3,500                                                                    10
1,500                                                                           3,000                                                                    8
                                                                           2
                                                                                2,500                                                                    6
1,000                                                                      0    2,000                                                                    4

        2006         2007     2008      2009   2010    2011     2012                    2006     2007     2008     2009   2010      2011    2012

                       Corn: China Dalian       Corn: US CME (RHS)                               Soy bean: China Dalian     Soy bean: US CME (RHS)




Grain consumption composition in China                                           Balance of China’s grain production and consumption

      Million tons                                                                      % w orld total
600                                                                               35
500                                                                               30
                                                                                  25
400
                                                                                  20
300
                                                                                  15
200
                                                                                  10
100                                                                                5
  0                                                                                0
       81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11                                          Rice             Wheat           Corn         Soy bean
                       Rice          Wheat     Corn      Soy bean                                            Production             Consumption

                                                                                                                                                          32
Date                                                                                          Weak link between pork and grain prices
Weak link between pork and grain prices                                                                                    Food CPI breakdown

 RMB/kg                                                                                                     RMB/kg         % YoY
35                                                                                                              5.0        100
                                                                                                                4.5        80
30
                                                                                                                4.0
                                                                                                                           60
25                                                                                                              3.5
                                                                                                                3.0        40
20                                                                                                              2.5        20
                                                                                                                2.0         0
15
                                                                                                                1.5
10                                                                                                              1.0        -20
                                                                                                                           -40
                Jul-07



                                   Jul-08



                                                      Jul-09



                                                                        Jul-10



                                                                                          Jul-11



                                                                                                            Jul-12
      Jan-07



                          Jan-08



                                             Jan-09



                                                               Jan-10



                                                                                 Jan-11



                                                                                                   Jan-12
                                                                                                                                 2005      2006       2007   2008      2009         2010        2011         2012
                         Pork               Corn (RHS)                   Soy bean meal (RHS)
                                                                                                                                          CPI: Food: Grain   CPI: Food: Vegetable          CPI: Food: Pork



China’s hot inventory
                                                                                                                            Limited impact of US drought on China’s food inflation
                                                                                                                            (1) China is still relatively self-sufficient on grain (imports
  % MoM                                                                                                        mn
                                                                                                                                 accounting for 9.5% of total food consumption);
 4                                                                                                               480
 3                                                                                                                   470
 2
                                                                                                                            (2)         Almost all food imports are soybean, but China
                                                                                                                     460
 1
                                                                                                                                        imports 57% of soybeans from non-US markets and
                                                                                                                     450                soybean output in the US is less affected by droughts;
  0
                                                                                                                     440
 -1
 -2                                                                                                                  430    (3)         The major channel from global corn and soybean
 -3                                                                                                                  420                prices to China’s inflation is pork, but China has its
 -4                                                                                                                  410                unique pork price cycle, which happens to be in its
     Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 Jul-11 Jan-12 Jul-12
                                                                                                                                        downturn in 2H12 and pork prices’ response to feed
               Number of liv e hogs (RHS)                               Liv e hogs                 Breeding sow s
                                                                                                                                        grain price shocks is quite slow.
                                                                                                                                                                                                                    33
What does the Chinese government
Date                                 will do and have to do?

• Ease property tightening measures by cancelling home purchase restrictions and
encouraging land/home supply;
• Cut RRR and ease/raise the 75% loan-to-deposit ratio;
• Increase fiscal spending of the central government;
• Open up long-term bond financing to provincial governments;
• Cut tax, especially value added and corporate income tax;
• Appropriately easing restrictions on lending to local governments




                                                                                   34
Date                         YoY change of home prices in top-tier cities

% YoY
30

20

10

  0

-10

-20
        2006   2007   2008        2009        2010   2011       2012
                        Beijing          Shanghai      Shenzhen
                                                                       35
Date                    Regional differentiation of property prices


    RMB per sqm
  20,000

  15,000

  10,000

       5,000

          0
               1995
               1996
               1997
               1998
               1999
               2000
               2001
               2002
               2003
               2004
               2005
               2006
               2007
               2008
               2009
               2010
               2011
                  National      Beijing      Shanghai
                                                                 36
Date                                       Chinese cities are quite “small”

  % of city population to national population
  25.0

  20.0

  15.0

  10.0

       5.0

       0.0
             Beijing Shanghai    New       Toky o   Mex ico Moscow Bangkok London   Seoul
                                 York                City
                                  City


                                                                                            37
Fiscal revenue and expenditure of the
Date                                         central government


  %
  35
  30
  25
  20
  15
  10
   5
   0
  -5
       1996
              1997
                     1998
                            1999
                                   2000
                                          2001
                                                 2002
                                                        2003
                                                               2004
                                                                      2005
                                                                             2006
                                                                                    2007
                                                                                           2008
                                                                                                  2009
                                                                                                         2010
                                                                                                                2011
              Fiscal balance/GDP (RHS)                                  Fiscal rev enue
              Fiscal ex penditure
                                                                                                                   38
Date                                                 The history of local government debt

RMB, bn
14000

12000

10000

 8000

 6000                                                                                                               Forecast

 4000

 2000

       0
           1996
                  1997
                         1998
                                1999

                                       2000
                                              2001

                                                     2002
                                                            2003

                                                                   2004
                                                                          2005
                                                                                 2006
                                                                                        2007
                                                                                               2008
                                                                                                      2009
                                                                                                             2010
                                                                                                                    2011
                                                                                                                           2012
                                                                                                                                  2013
                                         Total local gov t debt                  Local gov t total rev enue

                                                                                                                                  39
Date                                                                                                                  The overestimated local government debt
Local government’s fiscal revenue

RMB, bn
                                                                                                                                           LGFV debt is an important issue, and will
12000                                                                                                                                      drag the market down from time to time.
10000
                                                                                                                                           But we believe it’s manageable. We don’t
 8000
                                                                                                                                           expect banking crisis, crash of FAI and
 6000                                                                                                                                      collapse of the economy because:
 4000
                                                                                                                                           • It’s domestic debt;
 2000

    0                                                                                                                                      • Local govts are not that bad;
          1999

                  2000

                                2001

                                          2002

                                                    2003

                                                                  2004

                                                                          2005

                                                                                    2006

                                                                                                2007

                                                                                                        2008

                                                                                                                  2009

                                                                                                                             2010

                                                                                                                                    2011
                                                                                                                                           • Local govts fiscal revenue accounts for
    Primary fiscal revenue                       Fiscal transfer from central govt                     Net Income from land sales
                                                                                                                                           88% total national fiscal revenue, and it’s
The rising amount of local government debt
                                                                                                                                           growing at 30% pace this year;
  RMB tn                                                                                                                     % YoY         • Massive fiscal transfer from central to
   12                                                                                                                             70
                                                                                                                                  60
                                                                                                                                           local;
   10
                                                                                                                                  50
    8
                                                                                                                                  40
                                                                                                                                           • The low debt burden of the central
    6
                                                                                                                                  30       government;
    4                                                                                                                             20
    2                                                                                                                             10       • Total govt debt (central plus local)
    0                                                                                                                             0
                                                                                                                                           should be about 45-50% of GDP
          1996
                 1997
                         1998
                                  1999
                                          2000
                                                  2001
                                                           2002
                                                                   2003
                                                                          2004
                                                                                 2005
                                                                                         2006
                                                                                                2007
                                                                                                       2008
                                                                                                               2009
                                                                                                                      2010
                                                                                                                             2011




                                         Total local govt debt                          Growth rate (RHS)

                                                                                                                                                                                       40
The 75% cap on loan-to-deposit ratio is not
Date                                                 untouchable

%
105
   90
   75
   60
   45
   30
   15
       0
           1997
                  1998
                         1999
                                2000
                                       2001
                                              2002
                                                      2003
                                                             2004
                                                                    2005
                                                                           2006
                                                                                  2007
                                                                                         2008
                                                                                                2009
                                                                                                       2010
                                                                                                              2011
                                                                                                                     2012
                                              RRR               Loan-to-deposit Ratio
                                                                                                                            41
Date                          RRR and policy interest rates

%                                                                           %
8                                                                               25
7
                                                                                20
6
5                                                                               15
4
3                                                                               10
2
                                                                                5
1
0                                                                               0
    2006   2007        2008    2009            2010      2011        2012
                  RRR (RHS)     1-yr lending          1-yr deposit
                                                                                42
Date                                       Currency: redback versus greenback



 21 June 2010 =100
 110
 108
 106
 104
 102
 100
   98
   96
       Jun-10   Sep-10   Dec-10   Mar-11    Jun-11   Sep-11   Dec-11   Mar-12   Jun-12
                                  RMB-NEER                RMB-USD




                                                                                         43
Date




                                     -15
                                     -10
                                      -5
                                       0
                                       5
                                      10
                                      15
                                      20
                                      25
                                      30
                                      %YoY
                            Mar-07
                            Jun-07
                            Sep-07
                            Dec-07
                            Mar-08




     IP
                            Jun-08
                            Sep-08
                            Dec-08
                            Mar-09
                            Jun-09
                            Sep-09




     Pow er use
                            Dec-09
                            Mar-10
                            Jun-10
                            Sep-10
                            Dec-10
                            Mar-11
                            Jun-11
                            Sep-11
     Pow er use: Industry



                            Dec-11
                            Mar-12
                            Jun-12
44
                                             Can we trust China’s GDP statistics?
Date                                                                                     Know China’s economic structure first
Service and Agriculture is more stable than industry                                                            How about China’s service sector?
                                                                                                                For the financial sector which is dominated by
%YoY
16
                                                                                                                commercial banks, bank loan and deposit growth was
                                                                                                                16.0% and 12.3% yoy respectively in 1H.
12
                                                                                                                • In the sector serving international trade, export and
 8
                                                                                                                import growth registered 9.2% and 6.7% yoy respectively
                                                                                                                in 1H.
 4
                                                                                                                • Retail sales registered a 14.4% nominal and 11.5% yoy
 0
                                                                                                                real growth in 1H, meaning decent growth of shops and
                                                                                                                gasoline stations.
     00
              01
                     02
                            03
                                   04
                                           05
                                                   06
                                                          07

                                                                  08
                                                                             09
                                                                                    10
                                                                                           11
                                                                                                  12
                                   GDP              1st               2nd             3rd
                                                                                                                • Spending on government service must be growing too.
The three major demand-side components of GDP                                                                   Though only about a third of government expenditure is
                                                                                                                used on government itself, growth of payment on
  % y oy
                                                                                                                government service should be quite close to growth of
 50                                                                                                             fiscal expenditure, which was at 21.3% yoy in 1H, only
 40                                                                                                             slightly below 21.6% in 2011.
 30
 20                                                                                                             • The number of passengers carried by all transportation
 10                                                                                                             vehicles could be a good proxy for travel. Growth of that
  0                                                                                                             actually slightly picked up to 8.2% yoy in the first five
-10
                                                                                                                months of 2012 from 7.6% in 2011.
-20
-30
                                                                                                                •Power consumption in the service sector grew 12.1%
       1Q05
              3Q05
                     1Q06
                            3Q06
                                   1Q07
                                          3Q07
                                                 1Q08
                                                        3Q08
                                                               1Q09
                                                                      3Q09
                                                                             1Q10
                                                                                    3Q10
                                                                                           1Q11
                                                                                                  3Q11
                                                                                                         1Q12




                                                                                                                yoy in 1H, only slightly down from 13.5% in 2011.
                     Real FAI grow th                            Real retail sales grow th
                     Real ex port grow th


                                                                                                                                                                            45
Date                                                                                                          Why power consumption is different production
Power consumption and production could be different                                                                                   In theory, power production and consumption should be
                                                                                                                                      very close to each other as electricity is hardly storable.
       %, y oy                                                                                                                        However, we believe power consumption released by the
 30                                                                                                                                   National Energy Administration (NEA) is a better indicator
 25                                                                                                                                   of actual power demand/output than NBS’ power output
 20                                                                                                                                   data, which only include enterprises with annual sales
 15
                                                                                                                                      revenue above RMB5mn before 2011 and RMB20mn.
 10
  5
  0                                                                                                                                   The difference between power production and consumption
 -5                                                                                                                                   then depends on the power generated by smaller plants. If
-10                                                                                                                                   the supply condition of coal is tight, smaller plants generate
       May-08

                  Nov-08

                              May-09

                                           Nov-09

                                                         May-10

                                                                           Nov-10

                                                                                             May-11

                                                                                                               Nov-11

                                                                                                                             May-12
                                                                                                                                      less power as they are in disadvantage compared with
                                                                                                                                      large independent power producers (IPP) in securing coal
                           Pow er consumption                                  Pow er production                                      supply.

Service and Agriculture is more stable than industry                                                                                  Before Jan 2010, power production and consumption
                                                                                                                                      largely moved together. After that, the supply condition of
      tons, mn                                                                                                                        coal has been increasingly slack as reflected by climbing
100
                                                                                                                                      inventory in selected IPPs. Consequently, the role played
 80                                                                                                                                   by smaller plants has been increasing over time. After Jan
                                                                                                                                      2010, most power consumption data released by the NEA
 60                                                                                                                                   tends to be higher than production data released by the
                                                                                                                                      NBS, which might underestimate actual power output by
 40
                                                                                                                                      excluding smaller electricity plants.
 20

  0
      Jan-08

                Jul-08

                           Jan-09

                                       Jul-09

                                                    Jan-10

                                                                  Jul-10

                                                                                    Jan-11

                                                                                                      Jul-11

                                                                                                                    Jan-12




                                                                                                                                                                                                 46
Date                                                                                                                                   Then distorted power consumption structure
Breakdown of China’s power consumption
                                                                                                                                                               Power consumption of the service industry, which
                                                                 2%
                                                                                                                                                               accounts for 43% of the economy but consumes only
                                            12%
                                                                                                                     Agriculture
                                                                                                                                                               10.7% of total power, grew 11.3% yoy in 2Q (down
                                                                                                                                                               from 13.1% in 1Q and 13.5% in 2011).
                         11%
                                                                                                                                                               Growth of power consumption of industry (40% of the
                                                                                                                     Industry
                                                                                                                                                               economy and 74% of power demand) slumped to 3.0%
                                                                                                                                                               yoy in 2Q from 4.5% in 1Q and 11.8% in 2011.
                                                                                                                     Serv ice
                                                                                                                                                               Ferrous and non-ferrous metals consume 19% of
                                                                                                                                                               power but contributes only 5% to GDP and 12.5% to IP
                                                                                                                     Residential                               (The non-ferrous metals sector consumes 7.5% of
                                                                                       75%                                                                     national power but contributions only 1.7% to China’s
                                                                                                                                                               GDP and 4.3% to IP). A 15ppt slowdown of the metal
                                                                                                                                                               sector could lower power consumption by about 3ppt,
                                                                                                                                                               but the impact on GDP is only 0.75ppt. Actually that’s
Regulations led to some volatility of metal output
                                                                                                                                                               roughly the case from 2011 to 2012.

 %YoY
 40                                                                                                                                                            And the unique base effect
 30
                                                                                                                                                               From summer 2010 Beijing started pushing local
                                                                                                                                                               governments to reach the special 11th Five-year-plan
 20                                                                                                                                                            energy efficiency target. Under pressure, many local
 10                                                                                                                                                            governments reduced or even cut off power supply to
                                                                                                                                                               some heavy users of power.
  0

-10                                                                                                                                                            However, right after end-2010, Beijing eased its push
                                                                                                                                                               on energy efficiency and local governments stopped
               Mar-10


                                 Jul-10
                                          Sep-10



                                                                     Mar-11


                                                                                       Jul-11
                                                                                                Sep-11



                                                                                                                           Mar-12


                                                                                                                                             Jul-12
                                                                                                                                                      Sep-12
      Jan-10




                                                            Jan-11




                                                                                                                  Jan-12
                        May-10



                                                   Nov-10



                                                                              May-11



                                                                                                         Nov-11



                                                                                                                                    May-12




                                                                                                                                                               nagging manufacturers. Manufacturers were eagerly to
                    Ten non-ferrous metals                                              Steel product                                Crude steel               increase their inventories.

                                                                                                                                                                                                                      47
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?
(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?

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(1)陆挺:中国经济的短期和长期发展:硬着陆或软着陆?

  • 1. Date Ting Lu +852 2536 3718 China economist Merrill Lynch (Hong Kong) ting.lu@baml.com China’s landing in the short and long run: Hard or soft? Product ID 1
  • 2. China in 2011-20: The major challenge: Aging population Date The aging population • As of 2010: Age 0-14: 16.6%; Age 15- million person 350 59: 70.1%; Age 60 or above: 13.3%; 65 300 and above: 8.9%. 250 200 150 • Compare with 2000,Ratio of age 100 50 group 0-14 declined 6.3 ppt, ratio of age 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 group 15-59 rose 3.4ppt, ratio of 60 and Age 0-14 Age 65 and abov e above rose 2.9 ppt,ratio 65 and above rose 1.9 ppt. The falling size of young working age population million person 600 • The size of age group 20-34 peaked in 2000, and dropped 22.0% from 2000 to 500 2008. 400 300 • The size of age group 20-44 peaked in 200 2000, and dropped 3.6% from 2000 to 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 Age 20-44 20-39 20-34 2008. Source: CEIC, BofA Merrill Lynch calculations. 2
  • 3. Date Lewis turning point in China 1.6 1.5 Impact of global 1.4 financil crisis Lew is turning 1.3 point in China 1.2 1.1 1.0 0.9 0.8 0.7 0.6 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Labor supply-demand ratio More people from villages to cities? Urbanization ratio rose to 51.3% in 2011 from 36.2% in 2000. Net increase in urban population is 253mn in the period of 2000-2010. Migrant population rose 81% to 261mn in the same period. 3
  • 4. Date % 30 40 50 60 70 80 90 1960 1963 1966 1969 1972 1975 1978 1981 Japan 1984 1987 1990 1993 China 1996 1999 2002 2005 Dependency ratio: China vs. Japan 2008 2011 4
  • 5. Date China’s consumption (%) of global commodities % 60 50 40 30 20 10 0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Steel Aluminum Copper 5
  • 6. Date China’s consumption (%) of global energy % % 50.0 12.0 45.0 10.5 40.0 9.0 35.0 7.5 30.0 6.0 25.0 4.5 20.0 3.0 15.0 1.5 10.0 0.0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Coal (LHS) Oil (RHS) 6
  • 7. 10 12 14 16 0 2 4 6 8 % 1980 Date 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 GDP grow th 2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 Impact on growth: double digit is history 7 2026
  • 8. Still backward: Versus other countries Date 0.950 and over 0.700–0.749 0.450–0.499 0.900–0.949 0.650–0.699 0.400–0.449 0.850–0.899 0.600–0.649 0.350–0.399 0.800–0.849 0.550–0.599 under 0.350 0.750–0.799 0.500–0.549 not available China and World Human Development Index. Source: UNDP, 2008 update 8
  • 9. Date Sill backward: Versus the US 12 China in 2010 China Japan Real growth of GDP per capita, Japan 1960s Hong Kong, Singapore, 10 Korea and Taiw an 8 6 Japan 1980s % 4 2 0 0 25 50 75 100 125 GDP per capita, as % of US 9
  • 10. Date China’s capital stock Total length of railroad Number of airports KM 15,000 250,000 13,000 200,000 11,000 150,000 9,000 7,000 100,000 5,000 50,000 3,000 0 1,000 -1,000 India US UK China Korea Brazil Russia Japan France Germany India US UK Brazil Russia China Japan Korea France Germany Total length of paved roadway Number of vehicles per 1000 people KM 7,000,000 900 6,000,000 800 700 5,000,000 600 4,000,000 500 3,000,000 400 2,000,000 300 200 1,000,000 100 0 0 India US UK Korea China Japan Brazil France Russia Germany India US UK Korea Japan China Brazil France Russia Germany Source: CEIC, BofA Merrill Lynch calculations. 10
  • 11. Date Flying geese: This time it’s domestic flight Less developed regions in China could see higher growth going forward as growth trickles down from more developed areas. Differentiation in GDP growth across regions will provide rich implications for investment. Regional differentiation in GDP growth % YoY 16 14 12 10 8 6 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 National Central East West Source: CEIC, BofA Merrill Lynch calculations. 11
  • 12. Date The great leap forward in human capital Million person 8 7 6 5 4 3 2 1 0 1978 1981 1984 1987 1990 1993 1996 1999 2002 2005 2008 2011 New ly enrolled Fresh graduates 12
  • 13. Date And the reversal of brain drain 13
  • 14. Date Lewis turning point: Impact on wage % YoY 24 20 16 12 8 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Wage at State Ow ned Enterprises Urban Collectiv es 14
  • 15. Date Inflation: Chinese style Jan 2001 =1 2.0 1.8 1.6 1.4 1.2 1.0 0.8 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Food Clothing Transport & Telecom 15
  • 16. China could overtake the US on nominal GDP Date USD, bn 50000 40000 30000 20000 10000 0 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 2026 China GDP in USD US GDP 16
  • 17. Date Growth in 2012-13: “W”-shape? %YoY %QoQ, sa 14 4.0 12 3.5 3.0 10 2.5 8 2.0 6 1.5 4 1.0 2 0.5 0 0.0 1Q08 2Q08 3Q08 4Q08 1Q09 2Q09 3Q09 4Q09 1Q10 2Q10 3Q10 4Q10 1Q11 2Q11 3Q11 4Q11 1Q12 2Q12 3Q12 4Q12 1Q13 2Q13 3Q13 4Q13 YoY (LHS) QoQ. Sa (RHS) 17
  • 18. Date Signs of slowdown Power consumption Oil processing and metal output %YoY % YoY 30 40 30 20 20 10 10 0 0 -10 -10 1Q07 2Q07 3Q07 4Q07 1Q08 2Q08 3Q08 4Q08 1Q09 2Q09 3Q09 4Q09 1Q10 2Q10 3Q10 4Q10 1Q11 2Q11 3Q11 4Q11 1Q12 2Q12 July 2007 2008 2009 2010 2011 2012 Pow er consumption 2nd industry 3rd industry Crude oil processing Ten non-ferrous metals Cement and steel PMI and IP % YoY % % YoY 50 60 25 40 55 20 30 20 50 15 10 45 10 0 -10 40 5 -20 35 0 2007 2008 2009 2010 2011 2012 2005 2006 2007 2008 2009 2010 2011 2012 Cement Crude steel PMI IP (RHS) 18
  • 19. Date Analyze and predict the slowdown The declining ratio of exports to GDP The three major demand-side components of GDP % y oy % 50 40 40 30 30 20 10 20 0 -10 10 -20 -30 1Q05 3Q05 1Q06 3Q06 1Q07 3Q07 1Q08 3Q08 1Q09 3Q09 1Q10 3Q10 1Q11 3Q11 1Q12 0 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 Real FAI grow th Real retail sales grow th Real ex port grow th Ratio of ex ports to GDP The enlarging gap between FAI and GFCF in China Value added of exports accounts for about half of RMB, bn headline value of exports in China. In 2011, 30,000 exports contributed 13% of GDP. 25,000 20,000 In 2011, FAI and real estate FAI makes up 47% 15,000 and 10.0% of GDP respectively. 10,000 5,000 0 In value added terms (by stripping out imported capital goods and raw materials for FAI), FAI 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Gross Fix ed Capital Formation Headline FAI contributes 42% of China’s GDP. Value added of consumption contributed 45% to GDP in 2011. 19
  • 20. Date Consumption is still supported by robust income growth % YoY 25 20 15 10 5 0 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Retail Sales Urban income per capita, y td Rural income per capita, y td 20
  • 21. Date Sources of slowdown: External demand %,y oy 6.0 Forecast 5.0 4.0 3.0 2.0 1.0 0.0 -1.0 -2.0 1Q2010 2Q2010 3Q2010 4Q2010 1Q2011 2Q2011 3Q2011 4Q2011 1Q2012 2Q2012 3Q2012 4Q2012 1Q2013 2Q2013 US EA Japan 21
  • 22. Date Sharp decline of export growth Exports, imports and trade surplus The sub-index Export orders of PMI and export growth % YoY USD bn 80 40 % YoY 75 60 60 30 65 40 40 20 55 20 20 10 45 0 35 -20 0 0 25 -40 -20 -10 Jan-05 Jan-06 Jan-07 Jan-08 Jan-09 Jan-10 Jan-11 Jan-12 -40 -20 PMI: Ex port orders China's ex port grow th (RHS) 2005 2006 2007 2008 2009 2010 2011 2012 Trade balance (RHS) Exports Imports Major destinations of China’s exports Processing imports and exports % YoY 80 % YoY 80 60 60 40 40 20 20 0 0 -20 -20 -40 -40 2004 2005 2006 2007 2008 2009 2010 2011 2012 2007 2008 2009 2010 2011 2012 Processing ex ports Processing imports ASEAN EU Japan US 22
  • 23. Date Property FAI growth has been falling % YoY 60 50 40 30 20 10 0 -10 2007 2008 2009 2010 2011 2012 Infrastructure Manufacturing Real estate 23
  • 24. Date Property FAI growth more stable than starts, but…. %YoY 80 60 40 20 0 -20 Sep-06 Sep-07 Sep-08 Sep-09 Sep-10 Sep-11 Mar-06 Mar-07 Mar-08 Mar-09 Mar-10 Mar-11 Mar-12 Property FAI New Home Starts Home completion Home under construction 24
  • 25. Date Policy-making amid the leadership transition Start of China’s housing reforms Local govts’ five years 1998 2002/03 2007/08 2012/13 Hu and Wen’s 10 years 25
  • 26. Date The economics of drainage New or Expansion Manufacturing Capacity Relocation (from coast to inland) √ FAI Low-cost public housing √ Infrastructure and housing Low profile infrastructure √ High profile infrastructure Private housing 26
  • 27. Date How do local govts fund infrastructure in the future? The sharp difference between central and local govt • Over the past weekend, the heaviest rainstorm in Beijing in 61 years has killed 37 people and stranded numerous cars RMB, bn 30000 on drowned streets and underpasses. 25000 • Why Beijing lacks some basic infrastructure despite enormous investment in pass years? Why some 20000 infrastructure like highways is favored and some other 15000 infrastructures are disfavored by governments? 10000 5000 • The answer lies in a better understanding of the special 0 structure of the Chinese government and public finance and 1999 2001 2003 2005 2007 2009 2011 the solution also lies in a fiscal reform. In China, with a few Central Local exceptions like railway, almost all infrastructures were built by local governments, which are prohibited from raising money from bond markets but are under pressure to boost GDP growth. Fiscal revenue of local and central govt • With this backdrop, local officials naturally biased their RMB, bn 10,000 spending towards productive investment projects like highways, roads, ports and industrial parks which could 8,000 boost GDP growth, while cut spending on drainage, subway, 6,000 social housing and hospital which are good for social welfare but are less productive in the near term. 4,000 • It’s not all local government’s fault. Prohibited from 2,000 borrowing long-term funding from capital markets, local 0 governments have to rely on relatively short-term loans for 1999 2001 2003 2005 2007 2009 2011 funding their infrastructure spending, but they have to favor Central Local those profitable projects which could generate enough cash flow for repaying bank loans. 27
  • 28. Date Social housing: the great leap forward? mn square meters 800 700 600 500 400 300 200 100 0 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Social housing Commodity housing 28
  • 29. Date Agflation in China again? %YoY %YoY 40 10 8 30 6 4 20 2 0 10 -2 0 -4 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 M1 M2 CPI (Moved backward for 6 months, RHS) 29
  • 30. Date The changing difference between CPI and PPI % YoY 12 Forecast 8 4 0 -4 -8 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 Jul-11 Jan-12 Jul-12 Jan-13 CPI PPI 30
  • 31. Date CRB, Brent oil spot price vs PPI inflation % YoY % YoY 100 15 80 60 10 40 5 20 0 0 -20 -40 -5 -60 -80 -10 2005 2006 2007 2008 2009 2010 2011 2012 CRB cmdty (2m fw d) Brent oil spot (2m fw d) PPI (RHS) 31
  • 32. Date China’s grain consumption as percentage of global Corn prices: China and US Soybean prices: China and US RMB/Ton USD/Bushel RMB/Ton USD/Bushel 3,000 10 6,000 20 5,500 18 8 5,000 16 2,500 4,500 14 6 2,000 4,000 12 4 3,500 10 1,500 3,000 8 2 2,500 6 1,000 0 2,000 4 2006 2007 2008 2009 2010 2011 2012 2006 2007 2008 2009 2010 2011 2012 Corn: China Dalian Corn: US CME (RHS) Soy bean: China Dalian Soy bean: US CME (RHS) Grain consumption composition in China Balance of China’s grain production and consumption Million tons % w orld total 600 35 500 30 25 400 20 300 15 200 10 100 5 0 0 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 Rice Wheat Corn Soy bean Rice Wheat Corn Soy bean Production Consumption 32
  • 33. Date Weak link between pork and grain prices Weak link between pork and grain prices Food CPI breakdown RMB/kg RMB/kg % YoY 35 5.0 100 4.5 80 30 4.0 60 25 3.5 3.0 40 20 2.5 20 2.0 0 15 1.5 10 1.0 -20 -40 Jul-07 Jul-08 Jul-09 Jul-10 Jul-11 Jul-12 Jan-07 Jan-08 Jan-09 Jan-10 Jan-11 Jan-12 2005 2006 2007 2008 2009 2010 2011 2012 Pork Corn (RHS) Soy bean meal (RHS) CPI: Food: Grain CPI: Food: Vegetable CPI: Food: Pork China’s hot inventory Limited impact of US drought on China’s food inflation (1) China is still relatively self-sufficient on grain (imports % MoM mn accounting for 9.5% of total food consumption); 4 480 3 470 2 (2) Almost all food imports are soybean, but China 460 1 imports 57% of soybeans from non-US markets and 450 soybean output in the US is less affected by droughts; 0 440 -1 -2 430 (3) The major channel from global corn and soybean -3 420 prices to China’s inflation is pork, but China has its -4 410 unique pork price cycle, which happens to be in its Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 Jul-11 Jan-12 Jul-12 downturn in 2H12 and pork prices’ response to feed Number of liv e hogs (RHS) Liv e hogs Breeding sow s grain price shocks is quite slow. 33
  • 34. What does the Chinese government Date will do and have to do? • Ease property tightening measures by cancelling home purchase restrictions and encouraging land/home supply; • Cut RRR and ease/raise the 75% loan-to-deposit ratio; • Increase fiscal spending of the central government; • Open up long-term bond financing to provincial governments; • Cut tax, especially value added and corporate income tax; • Appropriately easing restrictions on lending to local governments 34
  • 35. Date YoY change of home prices in top-tier cities % YoY 30 20 10 0 -10 -20 2006 2007 2008 2009 2010 2011 2012 Beijing Shanghai Shenzhen 35
  • 36. Date Regional differentiation of property prices RMB per sqm 20,000 15,000 10,000 5,000 0 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 National Beijing Shanghai 36
  • 37. Date Chinese cities are quite “small” % of city population to national population 25.0 20.0 15.0 10.0 5.0 0.0 Beijing Shanghai New Toky o Mex ico Moscow Bangkok London Seoul York City City 37
  • 38. Fiscal revenue and expenditure of the Date central government % 35 30 25 20 15 10 5 0 -5 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Fiscal balance/GDP (RHS) Fiscal rev enue Fiscal ex penditure 38
  • 39. Date The history of local government debt RMB, bn 14000 12000 10000 8000 6000 Forecast 4000 2000 0 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Total local gov t debt Local gov t total rev enue 39
  • 40. Date The overestimated local government debt Local government’s fiscal revenue RMB, bn LGFV debt is an important issue, and will 12000 drag the market down from time to time. 10000 But we believe it’s manageable. We don’t 8000 expect banking crisis, crash of FAI and 6000 collapse of the economy because: 4000 • It’s domestic debt; 2000 0 • Local govts are not that bad; 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 • Local govts fiscal revenue accounts for Primary fiscal revenue Fiscal transfer from central govt Net Income from land sales 88% total national fiscal revenue, and it’s The rising amount of local government debt growing at 30% pace this year; RMB tn % YoY • Massive fiscal transfer from central to 12 70 60 local; 10 50 8 40 • The low debt burden of the central 6 30 government; 4 20 2 10 • Total govt debt (central plus local) 0 0 should be about 45-50% of GDP 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Total local govt debt Growth rate (RHS) 40
  • 41. The 75% cap on loan-to-deposit ratio is not Date untouchable % 105 90 75 60 45 30 15 0 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 RRR Loan-to-deposit Ratio 41
  • 42. Date RRR and policy interest rates % % 8 25 7 20 6 5 15 4 3 10 2 5 1 0 0 2006 2007 2008 2009 2010 2011 2012 RRR (RHS) 1-yr lending 1-yr deposit 42
  • 43. Date Currency: redback versus greenback 21 June 2010 =100 110 108 106 104 102 100 98 96 Jun-10 Sep-10 Dec-10 Mar-11 Jun-11 Sep-11 Dec-11 Mar-12 Jun-12 RMB-NEER RMB-USD 43
  • 44. Date -15 -10 -5 0 5 10 15 20 25 30 %YoY Mar-07 Jun-07 Sep-07 Dec-07 Mar-08 IP Jun-08 Sep-08 Dec-08 Mar-09 Jun-09 Sep-09 Pow er use Dec-09 Mar-10 Jun-10 Sep-10 Dec-10 Mar-11 Jun-11 Sep-11 Pow er use: Industry Dec-11 Mar-12 Jun-12 44 Can we trust China’s GDP statistics?
  • 45. Date Know China’s economic structure first Service and Agriculture is more stable than industry How about China’s service sector? For the financial sector which is dominated by %YoY 16 commercial banks, bank loan and deposit growth was 16.0% and 12.3% yoy respectively in 1H. 12 • In the sector serving international trade, export and 8 import growth registered 9.2% and 6.7% yoy respectively in 1H. 4 • Retail sales registered a 14.4% nominal and 11.5% yoy 0 real growth in 1H, meaning decent growth of shops and gasoline stations. 00 01 02 03 04 05 06 07 08 09 10 11 12 GDP 1st 2nd 3rd • Spending on government service must be growing too. The three major demand-side components of GDP Though only about a third of government expenditure is used on government itself, growth of payment on % y oy government service should be quite close to growth of 50 fiscal expenditure, which was at 21.3% yoy in 1H, only 40 slightly below 21.6% in 2011. 30 20 • The number of passengers carried by all transportation 10 vehicles could be a good proxy for travel. Growth of that 0 actually slightly picked up to 8.2% yoy in the first five -10 months of 2012 from 7.6% in 2011. -20 -30 •Power consumption in the service sector grew 12.1% 1Q05 3Q05 1Q06 3Q06 1Q07 3Q07 1Q08 3Q08 1Q09 3Q09 1Q10 3Q10 1Q11 3Q11 1Q12 yoy in 1H, only slightly down from 13.5% in 2011. Real FAI grow th Real retail sales grow th Real ex port grow th 45
  • 46. Date Why power consumption is different production Power consumption and production could be different In theory, power production and consumption should be very close to each other as electricity is hardly storable. %, y oy However, we believe power consumption released by the 30 National Energy Administration (NEA) is a better indicator 25 of actual power demand/output than NBS’ power output 20 data, which only include enterprises with annual sales 15 revenue above RMB5mn before 2011 and RMB20mn. 10 5 0 The difference between power production and consumption -5 then depends on the power generated by smaller plants. If -10 the supply condition of coal is tight, smaller plants generate May-08 Nov-08 May-09 Nov-09 May-10 Nov-10 May-11 Nov-11 May-12 less power as they are in disadvantage compared with large independent power producers (IPP) in securing coal Pow er consumption Pow er production supply. Service and Agriculture is more stable than industry Before Jan 2010, power production and consumption largely moved together. After that, the supply condition of tons, mn coal has been increasingly slack as reflected by climbing 100 inventory in selected IPPs. Consequently, the role played 80 by smaller plants has been increasing over time. After Jan 2010, most power consumption data released by the NEA 60 tends to be higher than production data released by the NBS, which might underestimate actual power output by 40 excluding smaller electricity plants. 20 0 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10 Jul-10 Jan-11 Jul-11 Jan-12 46
  • 47. Date Then distorted power consumption structure Breakdown of China’s power consumption Power consumption of the service industry, which 2% accounts for 43% of the economy but consumes only 12% Agriculture 10.7% of total power, grew 11.3% yoy in 2Q (down from 13.1% in 1Q and 13.5% in 2011). 11% Growth of power consumption of industry (40% of the Industry economy and 74% of power demand) slumped to 3.0% yoy in 2Q from 4.5% in 1Q and 11.8% in 2011. Serv ice Ferrous and non-ferrous metals consume 19% of power but contributes only 5% to GDP and 12.5% to IP Residential (The non-ferrous metals sector consumes 7.5% of 75% national power but contributions only 1.7% to China’s GDP and 4.3% to IP). A 15ppt slowdown of the metal sector could lower power consumption by about 3ppt, but the impact on GDP is only 0.75ppt. Actually that’s Regulations led to some volatility of metal output roughly the case from 2011 to 2012. %YoY 40 And the unique base effect 30 From summer 2010 Beijing started pushing local governments to reach the special 11th Five-year-plan 20 energy efficiency target. Under pressure, many local 10 governments reduced or even cut off power supply to some heavy users of power. 0 -10 However, right after end-2010, Beijing eased its push on energy efficiency and local governments stopped Mar-10 Jul-10 Sep-10 Mar-11 Jul-11 Sep-11 Mar-12 Jul-12 Sep-12 Jan-10 Jan-11 Jan-12 May-10 Nov-10 May-11 Nov-11 May-12 nagging manufacturers. Manufacturers were eagerly to Ten non-ferrous metals Steel product Crude steel increase their inventories. 47