Call Girls in Mira Road Mumbai ( Neha 09892124323 ) College Escorts Service i...
Promotin g Inclusive growth through the 4Ps
1.
2. Outline of the Presentation
Trends in growth, poverty and inequality
Economic participation of the poor
Assessment of 4Ps
Conclusions and Recommendations
Based on PIDS DP 2013-09 and Chapter 4 of the EPM 2012
Promoting Inclusive Growth Through the 4Ps
3. Inclusive Growth
Allows participation and contribution
by all members of society, with
particular emphasis on the ability of
the poor and disadvantaged to
participate in growth (ADB)
The main instrument for a sustainable
and inclusive growth is productive
employment (WB)
6. Inequality has declined slightly at the national
level; inequality in the urban areas went down but
it increased in the rural areas
Source: Celia M. Reyes, Aubrey D. Tabuga, Ronina D. Asis and Maria Blessila G. Datu, 2012, Poverty and
Agriculture in the Philippines: Trends in Income Poverty and Distribution (PIDS DP 2012-09)
0.4803
0.4735
0.5183
0.5045
0.4871 0.4837
0.4743
0.4736
0.4602
0.4850
0.4782
0.4513 0.4496 0.4462
0.3941 0.3942
0.4190
0.4255 0.4288 0.4296 0.4278
0.35
0.37
0.39
0.41
0.43
0.45
0.47
0.49
0.51
0.53
0.55
All Areas Urban Rural
Gini
7. Majority of the poor workers are at
most elementary undergraduate
13
8
6
3
44
33
22
13
1
2
6
26
0
5
10
15
20
25
30
35
40
45
Poorest Second Third Richest
%
No grade completed Some elementary Elementary graduate
Some high school High school graduate Some college
At least college graduate
Source of basic data: Matched files of FIES 2009 and LFS January 2010, NSO
8. Where do workers with elementary
education get employed?
Agriculture, hunting &
forestry, 49.8
Wholesale & retail
trade, 13.4
Fishing, 7.2
Private household
activities, 6.4
Manufacturing, 5.9
Construction, 5.6
Transport, storage &
communications, 5.1
Other
community, social &
personal service
activities, 1.9
Public administration &
defense, 1.8
Hotels &
restaurants, 1.2 Mining & quarrying, 0.8
Real estate, renting &
business activities, 0.4
Electricity, gas & water
supply, 0.1
Education, 0.1
Health & social
work, 0.1Financial
intermediation, 0
Source of Basic Data: LFS (July 2011), NSO
9. Average daily wage of high school
graduate is 45% higher than an elementary
undergraduate
141 169 186 202
246
335
598
1,137
0
200
400
600
800
1,000
1,200
No grade completedElementary undergraduateElementary graduateHigh school undergraduateHigh school graduateCollege undergraduateCollege graduatePostgraduate
Php
Source of basic data: LFS (July 2011), NSO
10. Proportion of children attending school, by
income group and by age group, 2007
86.6
91.7 93.4 95.1 96.7 96.1 97.7 98.6 98.7 99.2
80.6
86.0 87.2 89.2 91.9 93.2 95.7 97.2 98.7
98.4
47.9 50.4
53.7 55.3
57.9 60.9
66.8
73.5
80.7
90.5
0.0
20.0
40.0
60.0
80.0
100.0
120.0
Poorest 2 3 4 5 6 7 8 9 Richest
6 to 11 12 to 14 15 to 18
Source of basic data: APIS 2007, NSO
11. Features of the Philippine CCT
Objectives:
◦ Social Assistance – provide cash
assistance to alleviate immediate needs
(short-term poverty alleviation); and
◦ Social Development – to break the
intergenerational poverty cycle through
investments in human capital
12. Features of the Philippine CCT
Target families: Extremely poor families with
children aged 0 to 14
Components: Health and Education
Health: P6,000 annually (P500 per
month)/family
Education: P3,000/child/school year
(P300/child/month for 10 months); up to a
max. of 3 children in each family
13. Features of the Philippine CCT
Criteria for selection of beneficiaries:
◦ Residents of poorest municipalities;
◦ Households whose economic condition is equal
to or below the provincial poverty threshold;
◦ Households that have children 0-14 years old
and/or have a pregnant woman at the time of
assessment; and
◦ Households that agree to meet conditions
specified in the program.
14. Features of the Philippine CCT
The poorest households in the
selected municipalities are identified
through a Proxy-Means Test.
The DSWD selects the beneficiaries
through the National Household
Targeting System for Poverty
Reduction (NHTS-PR).
15. 4Ps Targeting
NHTS-PR identified 5.2 million poor families, way
above the estimated 3.9 million poor families in
2009. Including all these families will lead to even
higher leakage rate.
On-demand system (families who claim eligibility
but are not selected have to go through the on-
demand system); they are entered into the
database of eligible beneficiaries in the NHTS-
PR; there is a lag before they can be
accommodated into the 4Ps database of
beneficiaries
16. Features of the Philippine CCT
Conditionalities:
1. Pregnant women must avail of pre- and post-natal care
and be attended during childbirth by a trained health
professional;
2. Parents must attend family development sessions;
3. 0-5 year old children must receive regular preventive
health check-ups and vaccines;
4. 3-5 year old children must attend day care or preschool
classes at least 85% of the time;
5. 6-14 year old children must enrol in elementary or high
school and must attend at least 85% of the time.
6. 6-14 years old children must receive de-worming pills
twice a year
17. 4Ps has been scaled up too
rapidly
0.006
0.34
0.63
1.0
2.3
3.1
3.8
5.2
0.000
1.000
2.000
3.000
4.000
5.000
6.000
2007 2008 2009 2010 2011 2012 2013 2014
Source of basic data: DSWD
18. 4Ps is the biggest social protection
program
-
10,000
20,000
30,000
40,000
50,000
2007 2008 2009 2010 2011
2012
2013
50 299
5,000
10,000
21,194
39,450
44,250
Source of data: DSWD
19. 4Ps Targeting
Based on the APIS 2011, 4Ps beneficiaries comprise
6.4% of the total families. Over 82% of all 4Ps
beneficiaries are rural families.
Only 70.81% of the 4Ps beneficiaries in 2011 are income
poor (after taking out the cash grant).
◦ Leakage rate is 29% (Fernandez and Olfindo finds that 72% of the
beneficiaries belong to the bottom 20 % of the population)
Among the 4Ps beneficiaries who are poor, only 7.2%
became non-poor when given cash transfers.
So far, the 4Ps has already reached 20.32% of the
country’s total poor families (exclusion rate is 79.7%)
21. Administrative cost of the program
is substantial
Budget category 2011 2012
Total 21,194 39,450
Cash transfer/grant to beneficiaries 17,138 35,453
Implementation support* 4,056 3,997
Trainings 1,625 703
Salaries and allowances for 1,800 new personnel 716 1,877
Bank service fee 171 346
Information, education and advocacy materials;
printing of manuals and booklets 649 252
Capital outlay 218 133
Monitoring, evaluation and administration support 677 686
Share of cash transfer to total budget 80.9% 89.9%
Source: DSWD, available online http://pantawid.dswd.gov.ph/index.php/pantawid-pamilya-financials
Share of Cash Transfer to Total Budget
24. Comparison of school attendance rates of
children in matched 4Ps and non-4Ps families, by
age group, 2011
Age group 4Ps Non-4Ps Difference
Significance
(α=0.05)
Aged 6-14 96.3 92.8 3.5 significant
Aged 6-11 97.8 95.0 2.8 significant
Aged 12-14 93.1 89.0 4.1 significant
Aged 15-18 57.1 54.3 2.8 not significant
Note: Figures are estimates from the Nearest Neighbor (1), or One-to-one, matching with replacement.
Source of basic data: Matched files of APIS 2011 and LFS July 2011, NSO
25. Lack of personal interest is the most
common reason for not attending
school
0.5
0.2
0.2
0.7
0.5
0.4
1.9
1.4
1.3
3.0
4.5
4.5
15.4
30.9
34.5
0.2
0.2
0.3
0.4
0.5
0.8
1.9
2.0
2.2
2.7
2.9
3.9
15.7
24.8
41.4
0 5 10 15 20 25 30 35 40 45
Finished schooling
No school within the barangay
Too young to go to school
Problem with birth certificate
Problem with school record
No regular transportation
Others
School are very far
Cannot cope with school work
Housekeeping
Marriage
Illness/Disability
Employment/looking for work
High cost of education
Lack of personal interest
Reasons for not attending school among children in 4Ps families (aged 6-18)
4Ps Non-4Ps
Source of basic data: APIS 2011, NSO
26. Older children drop out of school to
work to augment family income
0.00 0.00 0.00 0.00 0.10 0.54 0.91 2.52 5.39
14.88
26.15
38.29
46.10
92.1
96.9 96.5 95.7 94.4 92.6 88.7 84.8
75.2
63.1
48.4
33.6
24.3
0
10
20
30
40
50
60
70
80
90
100
6 7 8 9 10 11 12 13 14 15 16 17 18
%
Age
out-of-school, working studying, not working
Source of basic data: Matched files of APIS 2011 and LFS July 2011, NSO
27. Proportion of children in 4Ps families who are
attending school or working, by sex and by single
year of age, 2011
0.0 0.0 0.0 0.0 0.0 0.8 1.5 4.2 8.5
22.1 36.4
50.2
59.2
92.5 96.7 95.6 95.4 92.4
90.3 84.5
80.9
68.1
55.3
38.3
29.8
16.6
0
10
20
30
40
50
60
70
80
90
100
6 7 8 9 10 11 12 13 14 15 16 17 18
%
Age
out-of-school, working studying, not working
Boys, 4Ps
0.0 0.0 0.0 0.0 0.2 0.2 0.3 0.8 2.2
8.3
14.2
24.2
29.8
91.7
97.1 97.5 96.0 96.5 95.2 93.1
88.7
82.4
70.2
60.1
38.1 33.9
0
10
20
30
40
50
60
70
80
90
100
6 7 8 9 10 11 12 13 14 15 16 17 18
%
Age
out-of-school, working studying, not working
Girls, 4Ps
28. The 4Ps program leads to an increase in the school participation rate by 3.5
percentage points among children aged 6-14 years old.
The 4Ps program does not influence the participation of children beyond the
age coverage of the program. There is no significant difference between the
school participation rate of children aged 15-18 in 4Ps families and non-4Ps
children (using matched samples).
The current coverage of 4Ps to 6- to 14-year-old children is intended to
enable the child to finish elementary.
School attendance rate is lower for older children than for younger ones.
The gap between the richest households and the poorest ones is much wider
for the older children than for the younger ones.
The average daily wage of someone who has finished high school is 45
percent higher than the wage of someone who has reached some years in
elementary.
Education builds up human capital gradually. Therefore, sustained investment
is required to realize significant results.
Conclusions
29. Recommendations
To increase employability of the poor
in higher productivity and faster
growing sectors, extend the Pantawid
Pamilya program or harmonize with
other government programs to ensure
that the children finish at least high
school.
◦ Will lead to more inclusive growth and
increase potential earnings of 4Ps
30. Recommendations
Given the fiscal burden of extending
the program, it becomes more
important to improve targeting scheme
◦ Reduce leakage rate by updating the PMT
model
◦ Reduce exclusion rate by moving away
from strategy of focusing on “pockets of
poverty”
◦ Focus on the chronic poor; transient poor
31. Recommendations
Improve program implementation
◦ Lessen lag in including beneficiaries
identified through on-demand system
◦ Monthly disbursement of cash transfer
◦ Use of regular savings account for 4Ps
Reduce administrative cost by
adopting unified data collection system
for NHTS-PR; will also reduce
potential response bias
32. Recommendations
Pilot test changes in the program
before scaling up
◦ Bigger grants to children in high school?
◦ Grants when children graduate from high
school?
◦ Maximum number of years in the
program?
34. Distribution of 4Ps and poor families, by
region, share to total (%)
10.8
10.0
9.0
7.4
7.1
6.4 6.3 6.3 5.9 5.8 5.7
4.9 4.6
4.2
2.4 1.7
1.4
6.8
9.9
8.2
7.1
7.7
5.5
3.1
7.6
5.7
6.1
10.6
4.7
4.0
5.2
2.7 3.4
1.8
0.0
2.0
4.0
6.0
8.0
10.0
12.0
Share to total poor families, FIES 2009 Distribution of 4Ps families, DSWD (Dec 2012)
Sources of basic data: DSWD and FIES 2009, NSO
35. Various Implementation Issues
Delays in transferring the cash grants
(currently every 2 months)
Cash card system (Cash card system -
used for merely transferring; does not work
like a regular ATM savings account;
grantees do not have the option to keep
money in the bank)
Grants are still distributed in cash (ex.
Naujan, Oriental Mindoro) Venue: Municipal
hall next to a tiangge
36. Comparison of school attendance rates of
children in 4Ps and Non–4Ps families, by single
year of age
Age 4Ps Non-4Ps
6 92.6 92.0
7 98.0 97.2
8 98.4 98.4
9 98.9 98.2
10 98.8 98.1
11 98.3 97.8
12 96.4 97.0
13 93.6 93.9
14 89.7 90.7
15 77.5 86.2
16 60.0 71.3
17 43.6 58.7
18 33.8 48.2
Source of basic data: APIS 2011, NSO
37. Age 4Ps Non-4Ps
6 92.9 87.4
7 97.6 95.7
8 98.9 97.2
9 98.8 97.1
10 99.0 97.1
11 97.9 96.6
12 96.6 95.1
13 94.1 89.2
14 88.2 84.1
15 76.5 78.2
16 59.1 59.5
17 42.6 41.5
18 31.0 30.5
Comparison of school attendance rates of
children in 4Ps and Non-4Ps families belonging to
bottom 40%, by single year of age
Source of basic data: APIS 2011, NSO
38. Comparison of school attendance rates of
children in matched 4Ps and non-4Ps families, by
single year of age, 2011
Sample 4Ps Non-4Ps Difference
Significance
(α=0.05)
Aged 6 91.2 83.5 7.7 significant
Aged 7 98.2 95.5 2.7 significant
Aged 8 98.4 96.9 1.6 significant
Aged 9 98.7 96.0 2.7 significant
Aged 10 98.6 96.3 2.3 significant
Aged 11 98.1 95.8 2.3 significant
Aged 12 96.6 94.1 2.5 significant
Aged 13 93.3 89.3 4.0 significant
Aged 14 89.5 81.6 7.9 significant
Aged 15 76.9 76.7 0.3 not significant
Aged 16 59.7 56.5 3.2 not significant
Aged 17 44.2 43.8 0.4 not significant
Aged 18 34.0 32.0 2.0 not significant
Notes: Figures are estimates from the Nearest Neighbor (3) matching with replacement
Source of basic data: Matched files of APIS 2011 and LFS July 2011, NSO
39. Proportion of poor, 4Ps and non-4Ps
families who experienced hunger, 2011
Group Percent
Poor 15.9
4Ps 14.4
Matched 4Ps 14.7
Matched Non-4Ps 12.8
Note: 4Ps and non-4Ps families with children aged 6-18 who are attending school were matched
using Propensity Score Matching (One-to-one matching with replacement).
Source of basic data: Matched files of APIS 2011 and LFS July 2011, NSO
40. Frequency of experiencing hunger among
poor, 4Ps and non-4Ps families, 2011
Frequency Poor 4Ps
Matched
4Ps
Matched
Non-4Ps
At least once in
each week
31.7 28.1 30.6 35.3
At least once in
each month
40.4 39.8 38.6 37.8
At least once in
three months
27.9 32.1 30.8 26.9
Note: 4Ps and non-4Ps families with children aged 6-18 who are attending school were matched using
Propensity Score Matching (One-to-one matching with replacement).
Source of basic data: Matched files of APIS 2011 and LFS July 2011, NSO
41. Proportion of children in 4Ps families who
are attending school, by type of family, 2011
Age
Proportion of children aged 6-18 in 4Ps families
3 or less 4 or more
6 92.2 93.1
7 98.6 97.0
8 99.4 97.1
9 98.9 98.8
10 99.1 98.5
11 98.2 98.3
12 96.6 96.1
13 93.7 93.5
14 91.2 87.9
15 77.8 77.2
16 62.5 58.2
17 43.9 43.4
18 32.0 35.0
Source of basic data: APIS 2011, NSO
42. Distribution of children aged 6-14 not attending
school in 4Ps families by family size, % to total
Share of Children
Age
Smaller families
(at most 3 eligible children)
Larger families
(4 or more eligible children)
All
6 19.4 18.5 19.1
7 6.8 3.9 5.8
8 3.1 6.9 4.4
9 3.0 3.2 3.1
10 3.5 3.8 3.6
11 5.6 5.0 5.4
12 10.9 8.9 10.2
13 21.2 17.8 20.1
14 26.6 32.1 28.5
All 100 100 100
Source of basic data: APIS 2011, NSO
43. Proportion of children in matched 4Ps and non-
4Ps families who are attending school and/or
working, by sex and by single year of age, 2011
0.0 0.0 0.0 0.0 0.0 0.8 1.5 4.2 8.5
22.1 36.4
50.2
59.2
92.5 96.7 95.6 95.492.4
90.3 84.5
80.9
68.1
55.3
38.3
29.8
16.6
0
10
20
30
40
50
60
70
80
90
100
6 7 8 9 10 11 12 13 14 15 16 17 18
%
Age
out-of-school, working studying, not working
Boys, 4Ps
0.0 0.0 0.0 0.0 0.2 0.2 0.3 0.8 2.2
8.3
14.2
24.2
29.8
91.7
97.1 97.5 96.0 96.5 95.2 93.1
88.7
82.4
70.2
60.1
38.1 33.9
0
10
20
30
40
50
60
70
80
90
100
6 7 8 9 10 11 12 13 14 15 16 17 18
%
Age
out-of-school, working studying, not working
Girls, 4Ps
0.0 0.0 0.1 0.1 0.1 0.2 1.0 2.4 4.7
9.5
18.6
26.7
37.7
90.8 96.4 97.1 96.4 96.295.2 93.0
87.6 83.6
75.5
61.1
49.4
38.8
0
10
20
30
40
50
60
70
80
90
100
6 7 8 9 10 11 12 13 14 15 16 17 18
%
Age
out-of-school, working studying, not working
Boys, Non-4Ps
0.0 0.1 0.0 0.0 0.0 0.1 0.3 0.8 1.3 2.8
8.9
14.3
20.3
92.897.1 97.8 97.5 96.9 96.7 95.8 93.3 90.6
85.1
68.7
57.2
48.5
0
10
20
30
40
50
60
70
80
90
100
6 7 8 9 10 11 12 13 14 15 16 17 18
%
Age
out-of-school, working studying, not working
Girls, Non-4Ps
Editor's Notes
Based on the paper that we did assessing the CCT in the Philippines, covering the design, implementation and impacts of the program.For this morning, I will focus my presentation on the role of the 4Ps in promoting inclusive growth. In particular I will show what it would take to make the program more effective in promoting inclusive growth.
Increasing both employment and productivityEmployment growth generates new jobs and income for theindividual - from wages in all types of firms, or from self employment, usually in microfirms - while productivity growth has the potential to lift the wages of those employedand the returns to the self-employed. After all, in many low-income countries theproblem is not unemployment, but rather underemployment. Hence, inclusive growth isnot only about employment growth, but also about productivity growth.20 Moreover, it isnot only about wage-employment but also about self-employment which means thatreturns to capital, land and other assets matter to the income potential of the focus groupas shown in the identity above. (WB)
First quarter growth 7.8%Industry sector grew by 10.9%, services sector by 7% and agri sector by 3.3%. Industry sector – construction 32.5%; manufacturing by 9.7%, while mining contracted by 17%Services – financial intermediation 13.9%Agri – agri and forestry -2.9%; fishing- 5.5%
Poverty incidence increased further in 2009 due to the lingering effects of the food and fuel price hikes, global financial crisis and natural calamities such as typhoons Ondoy and Pepeng in the latter half of 2009 and El Nino
About 57% of the poorest quartile are at most elementary undergraduate, compared with 16% for the richest quartile
45 % higher than elem undergrad32 % higher than elem graduate
ON-DEMAND SYSTEMFamilies who can prove their eligibility to the program can seek to be included among the beneficiaries. However, based on an interview with program implementers, these families are not directly entered into the database of 4Ps beneficiaries but on the database of eligible families under the NHTS-PR. This procedure may cause delay in the inclusion of deserving families to the program, if they get included at all.
About 90 percent of PantawidPamilya beneficiaries belong to the bottom 40 percent of the population. There is a high concentration of PantawidPamilya beneficiary households in the lowest income decile. About 33 percent of beneficiaries belong tothe first bottom decile and about 25 percent of PantawidPamilya beneficiaries belong to the second bottom decile. In total about 72percent of PantawidPamilya beneficiaries belong to the poorest 20 percent of the population in the Philippines, as obtained fromincidence analysis conducted with the most recent Family Income and Expenditure Survey (FIES, 2009) – Fernandez & Olfindo, 2011
Need to find ways to reduce administrative costs – one way is the unified data collection system
DELAY IN TRANFERRING THE FUNDSFor an extremely poor family who heavily relies on the government transfer to meet the different needs of not only the children but the household in general, a delay in the transfer of funds will have adverse effects. They can opt to borrow from loan sharks which will diminish the value of the grants upon receiving due to interest burden just to meet their needs. They will not be able to budget this money properly since they need to pay off debt first. It would be very helpful if the program can set up a system that can provide the money in a more prompt way. CASH CARD SYSTEMThe program is said to disburse cash grants to beneficiaries through a cash card that acts like an ATM card. This cash card system however is simply used for transferring the grant and does not work like a regular ATM savings account. There is a certain period designated where the grantees are allowed to withdraw the money. Upon expiration of this period, the grantee can no longer access the funds. The downside of such system is that it does not give the option for beneficiaries to keep the money in the account. Had it been designed to act in such a manner, it can encourage grantees to keep the money there until the time comes when they need it. Because this option is not present, it is very easy on their part to spend the money right away.DISTRIBUTION OF GRANT IN CASHIn some areas, or at least in Naujan, Oriental Mindoro, the distribution of the 4Ps grants is made by handing over the cash to the beneficiaries in some predetermined date at the Municipal Hall. One disadvantage of this procedure is that once the grantees get a hold of the cash, they can spend it right away especially if the venue where the money is being distributed is right next to a flea market. It is very easy for business establishments to take advantage of this situation since the grantees are gathered in one area at the same time.
Add data on matched non-4PsAPIS question on hunger:“During the past 3 months, did you or any member of your family experience hunger because you did not have food to eat?”