Quality of Growth for Whom

Slides:



Advertisements
Similar presentations
Partnerships for Health Reform Utilization and Expenditures on Outpatient Health Care by HIV Positive Individuals in Rwanda PHR Rwanda - Abt Associates.
Advertisements

Child poverty/outcome determinants and feedback loops in the Global Study Gaspar Fajth, UNICEF DPP.
1-6 December 2003ASIACOVER Training Workshop Bangkok, Thailand ASIACOVER Socio- economic indicators and data Availability at sub-national level And potential.
Rates of Return of Social Protection The case for non-contributory social transfers in Cambodia Franziska Gassmann Arusha, Tanzania – 17 December 2014.
The Future of India in the World Economy Comments by Johannes Jütting OECD Development Centre Paris, 22 June, 2007.
Lecture 4 Nature and extent of pre-industrial economic growth.
Economic Development & Classification Systems
How we measure development WHAT FACTORS MIGHT WE CONSIDER WHEN COMPARING THE DEVELOPMENT OF COUNTRIES?
2000/2001 Household Budget Survey (HBS) Conducted by The National Bureau of Statistics.
1 Economy and Poverty Bratislava, May 2003 Jean-Etienne Chapron Statistical Division UNECE.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
1-6 December 2003ASIACOVER Training Workshop Bangkok, Thailand Socio-economic Aspects of ASIACOVER Variables and indicators Selected for inclusion.
Integrating a Gender Perspective into Statistics Selected topic: Poverty Statistics S. Nunhuck Statistics Mauritius.
12 October 2010 Livelihoods and Care: Synergies between Social Grants and Employment Programmes National Labour and Economic Development Institute.
The Places We Live
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
Canada and the World Community
Mainstreaming Environment and Poverty Reduction into National Development Process in Kosovo UNDP – UNEP POVERTY AND ENVIRONMENT INITIATIVE Inception Workshop.
SEMINAR PRESENTATIONS Cambodia DHS and Measure DHS+ Survey Objectives and Methodology Housing and Characteristics of the Population Fertility and its Determinants.
Child labour in Vietnam
February 07, 2012 National Institute of Statistics of Rwanda 1 NATIONAL INSTITUTE OF STATISTICS OF RWANDA EDPRS2, EICV3 & DHS4 Joint Launch Key Statistics.
Kazakhstan: Challenges and Achievements in Poverty Reduction Sarosh Sattar The World Bank May 4, 2005.
Reasons for differences between national and international reported indicators CountryData Workshop: Building better dissemination systems for national.
Chapter 19 Economic Growth in Developing Nations.
1 CDRI Research Workshop Tong Kimsun. 2 Related Project  Poverty Dynamic Studies (PDS), funded by the World Bank Objective of the project: Identify the.
DEVELOPMENT. Development Include: Real GDP per head Standard of living Political freedom Freedom of the speech Level of education Level of health-care….
A POVERTY PROFILE FOR SIERRA LEONE Kristen Himelein World Bank June 26, 2013.
REPUBLIC OF ALBANIA MINISTRY OF LABOUR AND SOCIAL AFFAIRS THE WORLD BANK CONFERENCE ON LABOR MARKETS, GROWTH AND POVERTY REDUCTION STRATEGIES Thesaloniki,
Government of Chile MINISTRY OF PLANNING AND COOPERATION May 2002.
DEVELOPMENT. DEFINITION Development is a process that leads to changes in the natural and human environments.
INDICATORS FOR MONITORING EMPLOYMENT POLICIES Skill training workshop to diagnose the extent of social protection and promoting employment Phnom Penh Hotel,
1 MONITORING OF THE INDICATORS OF MDG: EXPERIENCE OF THE KYRGYZ REPUBLIC Turdubayeva Chinara Chief of the Division of Consolidated Works and Information.
The CapiiBary Cooperative: A collective struggle to reverse the rural exodus Marcela Vásquez-León Bureau of Applied Research in Anthropology Latin American.
ECOSOC Thematic Discussion on Multidimensional Poverty
Goal 1. End poverty in all its forms everywhere
Interstate statistical committee
Multidimensional Poverty Index (MPI) for the Northeastern Afghanistan
The ILO Decent Work Indicators
Millennium Development Goals (MDGs)
Introduction and Methodology
Are the Chronic Poor Happy about Pro-Poor Growth
NATIONAL DEVELOPMENT STRATEGY OF THE REPUBLIC OF TAJIKISTAN UNTIL 2030
Ignorance Project
International Labour Office
ZHANG Juwei Institute of Population and Labor Economics
Social Protection, Nutrition and Resilience
The perspective of policy on Developing an integrated statistics programme in support of the Implementation of the 2008 SNA February 3-7, 2014 St Lucia.
Main results of 2016 Household Socio-Economic Survey
Promoting Gender Equality and Empowerment of Women
Lecture 8: Rural Development Policy and Gender Issues
Informal Sector Statistics
Promoting the Gender Equality MDG: Women’s Economic Opportunities
Session 1 “Gender differentiated patterns of work”
ျမန္မာႏိုင္ငံရွိ ထိခုိက္လြယ္မႈ အေျခအေန လိုအပ္ခ်က္မ်ား၊ လြမ္းၿခဳံမႈမ်ားႏွင့္ ကြာဟခ်က္မ်ားအေပၚ ဆင့္ပြားအခ်က္အလက္မ်ားအား သံုးသပ္မႈ ၂၀၁၈ ခုႏွစ္၊ ဇြန္လ.
Harmonization of Social Indicators
Challenges in Social Inclusion in Serbia
Shared-Growth and Job Creation: Exploring Employment and Shared Growth Linkages in Madagascar Margo Hoftijzer.
EIGHT THINGS YOU (MAY NOT) KNOW ABOUT AFRICA
Household Budget Survey
Social Security of Casual Agricultural Workers in Turkey
Developing Countries vs Developed Countries
Developed v. Developing Countries
MONITORING SOCIAL DEVELOPMENTS IN INDONESIA
Growth, Transformation and Poverty in the PRC and ASEAN
The Human Development Index (And More)
Developed and Developing Nations SOL8
Quality and access to social services – a European issue?
Warm Up Take out a piece of paper and answer the following question: List 5 economic and social characteristics of a developed nation and 5 of a non-developed.
KOREA Econoic survey 김태용 한요셉 심준현
Anti-Poverty Effect of the Supplemental Nutrition Assistance Program
Presentation transcript:

Quality of Growth for Whom Quality of Growth for Whom? Do the Chronic Poor Enjoy Growth in Cambodia? AFD-IDS-JICA Project on Quality of Growth  JICA-RI, 18 February 2014 Ippei Tsuruga, Deputy Assistant Chief Research Programme Division, JICA Research Institute Email: Tsuruga.Ippei@jica.go.jp

Pro-poor Growth Growth with poverty reduction Focus on how much poverty reduced. Does not matter whose poverty reduced.

Quality of Growth Growth with poverty & CP reduction Poverty Reduction Chronic Poverty Reduction Quality of Growth Focus on how much poverty reduced. Matter the remaining populations. Including those who are unable to escape poverty even with growth.

Research Question Do the Chronic Poor Enjoy Growth? To what extent does chronic poverty improve while economy grows and poverty decreases? What characteristics do the chronic poor have?

Pro-Poor Growth? (1) Macro economy Indicators (annual average change %) 2004-2010 GDP 8.47 GDP per capita 6.87 Sectoral Growth: Agriculture 5.97 Sectoral Growth: Manufacturing 6.24 Sectoral Growth: Industry 8.00 Sectoral Growth: Services 9.59 Inflation 7.79

Pro-Poor Growth? (2) Human development Indicators 2004 2010 Net primary enrolment (ages 6‐11) 75.98% 85.60% Net lower secondary enrolment (ages 12-14) 16.37% 30.80% Net upper secondary enrolment (ages 15-17) 8.53% 17.50% Ever attended school (ages 5+) 75.92% 81.70% Adult literacy (ages 15+) 69.78% 76.28% Mortality rate, neonatal (per 1,000 live births) 27.2 19.7 Mortality rate, infant (per 1,000 live births) 56.6 37.3 Mortality rate, under-5 (per 1,000 live births) 70.3 43.8

Pro-Poor Growth? (3) Consumption poverty estimation

Pro-Poor Growth? (4) Consumption growth of the poor 2004-2010 Other Urban Rural Phnom Penh Growth rate in mean (%) 1.05 7.23 6.31 at median (%) 11.05 9.81 7.86 of the Poor (%) 11.66 10.34 9.11

Pro-Poor Growth? (5) Yes Growth Poverty Economy: Improved Human Development: Improved Sectoral Growth: Equally grew Poverty Poverty headcount: Improved Poverty gap: Improved Poverty severity: Improved Poor Consumption: Improved

Methodology: CP Estimation Combining Qualitative & Quantitative Howe & McKay (2007) Define CP by the poor through PPA Map onto nationally representative household survey data Assess robustness and sensitivity using other poverty related indicators

Qualitative Data Participatory Poverty Assessment Period: October – December 2000 Participants: Poor people selected through geographical/community-based targeting Coverage: National 169 Focus group discussions, 154 villages in 70 communes in all 24 provinces and 15 urban areas Implementing Agency: Asian Development Bank

Quantitative Data Cambodia Socio-Economic Survey Period: 2004 & 2010 Sample size: 12,000 HHs & 3,600 HHs Coverage: National Implementing Agency: Ministry of Planning

Defining Chronic Poverty (1) 5 Livelihood ranks by the poor (Agrarians) # Local Language Description 1 Kror bamphot Toal Extremely poor No way out of their present situation 2 Kror Kror thomada Literally poor Typical poverty 3 Kror imom Kandal Reasonably poor Medium 4 Mathyum Average 5 Throuthear Neak leu Fully self-sufficient without any debts Living above poverty

Defining Chronic Poverty (2) CP characteristics identified by the poor Little or no land (2-3 acres: 0.8-1.2 ha) Perhaps 1 draft animal but no farming implements; Housing made of thatch in very poor condition; Few household utensils; Food shortages for up to 8 months; Reliance on natural resources for subsistence needs; Inability to repay or borrow additional amounts; No kinship support; and Large young families with 5-12 children.

Defining Chronic Poverty (3) Criteria selection to identify chronic poor Selection Policy Take as many definitions as possible Balance inclusion / exclusion error Availability of translatable quantitative data Selected Criteria Household main economic activity is agriculture Household owns agricultural land of 1.0 hectare or less Household owns 1 draft animal or none Household owns no high value farm implement Housing material (wall/roof) is thatch.

Result Chronic Poverty Estimation in Cambodia Domain 2004 2010 Other Urban 6.44% 1.98% Rural 11.53% 11.34% Phnom Penh 0.00% Cambodia 9.99% 9.27%

Robustness (1) Comparison of other indicators in 2004 CP Non-CP Difference T-value Net enrolment ratio (ages 6‐11) 65.43 74.57 9.14 5.53 Net enrolment ratio (ages 12-14) 4.52 10.56 6.04 5.37 Net enrolment ratio (ages 15-17) 2.43 3.83 1.40 1.49 Ever attended school (ages 5+) 61.33 72.69 11.37 14.94 Adult literacy (ages 15+) 50.66 64.71 14.07 14.68 Sick Frequency 19.99 18.15 -1.79 -3.05 Seek care during the survey period 13.2 11.69 -1.51 -3.04 Seek care when ill or injured 66.69 64.59 -2.10 -1.34 1st Quintile, Food 26.89 24.24 -2.65 -4.06 5th Quintile, Food 9.08 11.56 2.48 5.87 1st Quintile, Total 33.77 24.15 -9.62 -13.91 5th Quintile, Total 6.01 9.94 3.93 11.02

Robustness (2) Comparison of other indicators in 2010 CP Non-CP Difference T-value Net enrolment ratio (ages 6‐11) 87.47 82.36 -5.12 -1.83 Net enrolment ratio (ages 12-14) 8.82 27.58 18.76 4.87 Net enrolment ratio (ages 15-17) 2.69 12.19 9.49 3.97 Ever attended school (ages 5+) 68.50 78.38 9.88 6.26 Adult literacy (ages 15+) 56.93 71.77 14.84 7.46 Sick Frequency 23.26 18.5 -4.76 -3.54 Seek care during the survey period 19.91 16.17 -3.74 -2.96 Seek care when ill or injured 85.59 87.44 1.85 0.74 1st Quintile, Food 32.42 23.3 -9.12 -6.16 5th Quintile, Food 5.69 9.44 3.75 4.9 1st Quintile, Total 38.45 22.97 -15.48 -10.09 5th Quintile, Total 3.13 8.95 5.82 9.56

Sensitivity (1) There are some ambiguous criteria Land Ownership: 0.8ha to 1.2 ha Perhaps 1 draft animal: One or None No farming implements: What types? Housing Materials are Thatch: Wall? Roof?

Sensitivity (2) Further Analysis …. All combinations.. Cutoff Land Draft Animal Farm Implement Housing 2004 2010 1 1 ha One Low Only OR 11.53% 11.34% 2 AND 5.66% 4.38% 3 None 1.31% 0.15% 4 0.76% 0.08% 5 9.32% 8.95% 6 4.67% 3.61% 7 1.13% 8 0.66% 9 0.8 ha 9.53% 10.39% 10 4.61% 4.01% 11 1.11% 12 0.61% 13 7.75% 8.40% 14 3.84% 3.39% 15 1.00% 16 0.57%

Characteristics (1) Female-headed, Young, Smaller family… Indicators CP Non-CP Difference Household head: female (%) 31.96 17.72 14.24 Household head: elderly 65+ (%) 16.11 18.45 -2.34 Household head: ethnic minority (%) 4.10 4.78 -0.68 Household head: age 43.67 45.85 -2.18 Household member: age 24.55 26.84 -2.29 Household head: education year 3.05 4.03 -0.98 Household size 3.97 4.65

Characteristics (2) High child dependency, Labour constraint.. Indicators CP Non-CP Difference Dependency ratio (%) 85.29 73.48 11.81 Child dependency ratio 0-14 (%) 76.07 62.21 13.87 Aged dependency ratio 65+ (%) 9.22 11.27 -2.05 Household with 5 children+ (%) 2.27 1.54 0.73 No. of working age per households 2.91 -0.64 No. of children 0-14 per households 1.51 0.02 No. of elderly 65+ per households 0.16 0.22 -0.06

Conclusion / Limitation CP little improved though pro-poor growth was achieved. Cambodia achieved pro-poor growth but not quality of growth. Limitation It is not clear whether it is a matter of measurement between monetary & local definition. Other activities (e.g. CP in Industry/Service) Urban poverty (e.g. workers with low wage)

Policy Questions Can growth policies benefit the chronic poor? If not Do social policies support the chronic poor? Do targeted interventions properly capture them?