contents · ““bridging the gap between research and policy” continuing consultation with...

Contents

2-32-32-32-32-3 MessagesMessagesMessagesMessagesMessages

4-54-54-54-54-5 PEP Research Network: A BackgrounderPEP Research Network: A BackgrounderPEP Research Network: A BackgrounderPEP Research Network: A BackgrounderPEP Research Network: A Backgrounder

7

8

9-14

15-2515-2515-2515-2515-25 Abstracts of Conference PapersAbstracts of Conference PapersAbstracts of Conference PapersAbstracts of Conference PapersAbstracts of Conference Papers

26-2826-2826-2826-2826-28 Main Partners & DonorsMain Partners & DonorsMain Partners & DonorsMain Partners & DonorsMain Partners & Donors

66666 At-a-Glance: 9th PEP General MeetingAt-a-Glance: 9th PEP General MeetingAt-a-Glance: 9th PEP General MeetingAt-a-Glance: 9th PEP General MeetingAt-a-Glance: 9th PEP General Meeting

PEP School on Poverty Mapping

PEP Policy Conference

Parallel Sessions (CBMS, MPIA, PIERI & PMMA)

222229th PEP Research Network General Meet ing9th PEP Research Network General Meet ing9th PEP Research Network General Meet ing9th PEP Research Network General Meet ing9th PEP Research Network General Meet ingDecember 3-9, 2011 • Angkor Era Hotel, Siem Reap, Cambodia

My warmest greetings and best wishes to all the participants of the 9th Poverty and

Economic Policy (PEP) Research Network General Meeting.

The Ministry of Planning of the Kingdom of Cambodia is proud to be associated with

PEP - a global research network that is committed to ensuring greater participation of

local researchers in tackling poverty and inequality in developing countries. Indeed,

building the scientific capacity and research base in these countries can go a very long

way in ensuring that the methods used in identifying strategies in pursuit of sustainable

growth and poverty reduction are participatory and thus, locally owned.

This is very much evident in the community-based monitoring system (CBMS) project

that is being implemented in a number of communes in the Provinces of Batatambang,

Kratie and Kampong Thom. It has not only developed the capacities at the local level

in terms of needs assessment, planning, monitoring and evaluation of development

projects but has also marked significant success in promoting convergence of planning

processes at the commune, provincial and national levels through the use of CBMS

data. Just recently, the CBMS methodology was also used to track the impacts of the

global financial crisis. The results of this study are very important in identifying measures

that can mitigate the adverse impacts of this crisis as well as help our households to

better cope with similar shocks in the future.

I am therefore convinced that we will greatly benefit from the wealth of ideas that will

come out of this conference. With an impressive agenda and distinguished panel of

presenters, your next seven days promise to be very stimulating indeed!

To the people behind the PEP Research Network, we congratulate you for your

achievements and bid you a warm welcome to Cambodia. May you have an enjoyable

and productive stay in Siem Reap, the Great Gate to Angkor!

“The Ministry of Planning of the Kingdom of Cambodia isproud to be associated with PEP - a global researchnetwork that is committed to ensuring greaterparticipation of local researchers in tackling poverty andinequality in developing countries.”

His Excellency

CHHAY THANSenior Minister

Ministry of Planning

Kingdom of Cambodia

PEP Research Network: Building theScientific Capacity and Research Base

in Developing Countries

33333 9th PEP Research Network General Meet ing9th PEP Research Network General Meet ing9th PEP Research Network General Meet ing9th PEP Research Network General Meet ing9th PEP Research Network General Meet ingDecember 3-9, 2011 • Angkor Era Hotel, Siem Reap, Cambodia

On behalf of the Poverty and Economic Policy (PEP) Research Network, we are pleased

to welcome you all to the Kingdom of Cambodia and to the 9th PEP General Meeting.

Held almost annually since 2002, these meetings gather development economists,

researchers and policymakers from around the world to both learn and share knowledge

on the most recent methodologies, concepts and findings in poverty and economic

policy analysis. More importantly, these meetings are a great showcase of how PEP is

making significant advances in pursuing its objectives of strengthening local

development research capacities in the South, facilitating a better understanding of

the causes and consequences of poverty, bridging the gap between research and

policy, and proposing evidence-based policies and programs to help combat poverty.

This year’s edition of the general meeting promises to be even more exciting as more

PEP researchers are going to present their research results on a wide range of issues,

including public infrastructure and inclusive growth, impact evaluation of government

programs, impacts of the global financial crisis, household coping strategies, the

millennium development goals, vulnerability risk mapping and assessment, and many

more.

This meeting would not have taken off the ground without the continued and generous

support of our partner organizations. In particular, we would like to thank the Australian

Agency for International Development (AusAID), the Canadian International Development

Agency (CIDA) and the International Development Research Centre (IDRC). Tremendous

thanks are also in order to the Cambodian authorities, in particular, to the Ministry of

Planning headed by His Excellency, Chhay Than, for their hospitality.

We wish you all a fruitful and productive meeting!

“These meetings gather developmenteconomists, researchers and policymakers

from around the world to both learn andshare knowledge on the most recent

methodologies, concepts and findings inpoverty and economic policy analysis.”

CELIA M. REYES &JOHN M. COCKBURN

Co-Directors

PEP Research Network

Learning and Sharing Knowledge on theMost Recent Methodologies, Conceptsand Findings in Poverty and EconomicPolicy Analysis


Poverty and Economic Policy (PEP) Research NetworkPoverty and Economic Policy (PEP) Research NetworkPoverty and Economic Policy (PEP) Research NetworkPoverty and Economic Policy (PEP) Research NetworkPoverty and Economic Policy (PEP) Research Network

The Poverty and Economic Policy (PEP) Research Network is a network of Southern research institutes, researchers

and stakeholders supported by international experts and devoted to ensuring greater participation of local expertise

in the analysis of policy issues related to poverty, and economic and social development. PEP has regional offices

in Asia (Philippines), Africa (Senegal), Latin America (Peru) and North America (Canada). It is currently funded by the

Australian Agency for International Development (AusAID), Canadian International Development Agency (CIDA),

International Development Research Centre (IDRC), and the United Nations Development Programme (UNDP), and

working in collaboration with several other institutions such as the Inter-America Development Bank (IADB), International

Food Policy Research Institute (IFPRI), United Nations Children’s Fund (UNICEF), etc. - in special initiatives for

research on various thematic issues.

With ten years of experience and the support of world-renowned scientific experts in development economics, PEP

has become a unique source of expertise in building local capacities for economic and policy analyses in developing

countries. Indeed, since its establishment in 2002, PEP has contributed to build research capacities in nearly 50

developing countries for more than 500 local analysts who now have the expertise and resources to produce

reliable scientific evidence on emerging development issues and assist in related policymaking at home.

This scientific evidence proceeds from different analytical approaches:

• Community-Based Monitoring Systems, providing systematic sources of data from local-level censuses,

implemented in coordination with local government units, to both profile and monitor poverty in a

multidimensional sense as a complement to existing national statistical databases

• Statistical monitoring, measurement and analysis of multidimensional poverty and development; using

both monetary and non-monetary approaches to provide a fuller characterization of the nature,

distribution, causes and consequences of poverty in the country

• Impact assessments, conducting rigorous evaluations of policies and program interventions in order to

assess the actual impact on targeted populations and effective use of budget resources

• Prospective analyses of the impact of macroeconomic policies and shocks on long-term economic growth

and socioeconomic well-being at the national level, - using modeling and macro-micro simulation

techniques

These different approaches are

based on world-renowned, state-

of-the-art methodologies,

techniques and tools, the

development of which PEP

research and experts have

substantially contributed to over

the past ten years.

PEP-led initiatives provide

funding and scientific support for

studies to be conducted by

competitively-selected teams of developing country researchers. These teams are “gender-balanced” and usually

count 3 to 4 members, including one senior researcher and several junior researchers. So far, PEP support has

allowed the completion of 172 study projects under a variety of policy research themes, from child poverty to fiscal

and trade policies. In each case, specific policy issues to be addressed were identified by the selected researchers

themselves, in consultation with local or national policy stakeholders, and development partner representatives, to

ensure both policy relevance and local ownership of the research agenda.

An international network ofresearchers in developingcountries who have the expertise,resources and reputation tocontribute to national andinternational debates on economicpolicies related to poverty

“

”


PEP activities have been concentrated in the following areas:

Capacity BuildingCapacity BuildingCapacity BuildingCapacity BuildingCapacity Building“Strengthening local development research capacities in the

South”

PEP provides developing country researchers and practitioners with training

and direct support from international experts in the use of the most recent

and rigorous tools and techniques in poverty and policy analysis. Through

the PEP Network, Southern researchers are able to access an extensive

pool of resources, peers and expertise, beyond that available within their

home countries.

ResearchResearchResearchResearchResearch“Understanding better the causes and consequences of poverty”

PEP research contributes to improve the monitoring and measurement of

poverty in developing countries through the development of tailored

concepts and methodologies that better capture the nature, extent and

depth of poverty as well as to assess the specific impacts of programs

and policies at the local and national levels. Moreover, as PEP researchers

define the research agenda themselves - in consultation with national

stakeholders – poverty analysis and policy recommendations are assured

to be more responsive to emerging development issues; such as trade

and globalization, education, labor and employment, gender, health, child

welfare, fiscal policies, inequality, and the like.

Consultation & DisseminationConsultation & DisseminationConsultation & DisseminationConsultation & DisseminationConsultation & Dissemination“““““Bridging the gap between research and policy”

Continuing consultation with intended research users, including

policymakers and development partners at local, national and international

levels, is a central component of PEP-supported projects, from the initial

research design through all the stages of execution, and culminates with

several important final dissemination activities such as publications,

national policy conferences, and other related activities. PEP thus

contributes to enhanced collaboration among development researchers,

experts, institutions, policymakers and other stakeholders in their efforts

to alleviate poverty and promote development.

Policy InfluencePolicy InfluencePolicy InfluencePolicy InfluencePolicy Influence“““““Proposing evidence-based policies and programs to help

combat poverty”

Through systematic consultation and dissemination activities, PEP research

findings are directly communicated to intended research users, including

policymakers, program implementers, development partners and other

stakeholders, thereby maximizing their potential influence on decisions

and initiatives related to the improvement of socioeconomic well-being in

Southern countries.


Da teDa teDa teDa teDa te

December 3, 2011

December 4, 2011

December 5, 2011

AM Session

December 5, 2011

PM Session

December 6, 2011

AM Sessions

December 6, 2011

PM Session

December 7, 2011

AM Sessions

December 7, 2011

PM Sessions

December 8, 2011

AM Sessions

December 8, 2011

PM Sessions

December 9, 2011

AM Sessions

TTTTTi m ei m ei m ei m ei m e

8:30am-5:30pm

10:00am-12:00pm

2:00pm-4:00pm

8:30am-1:00pm

9:00am-12:30pm

9:00am-12:30pm

2:00pm-5:30pm

8:30am-12:30pm(continuation of

second session:

2:00pm-3:10pm)

9:00am-12:30pm

9:00am-12:30pm

3:30pm-6:00pm

2:00pm-5:30pm

2:00pm-5:30pm

8:30am-2:00pm

9:00am-12:30pm

9:00am-12:30pm

2:00pm-5:30pm

2:00pm-5:30pm

8:30am-12:00pm

9:00am-12:00pm

SubnetworkSubnetworkSubnetworkSubnetworkSubnetwork

CBMS

CBMS/MPIA/PIERI/PMMA

CBMS/MPIA/PIERI/PMMA

CBMS

PIERI/PMMA

MPIA

CBMS/PIERI/PMMA/MPIA

CBMS

PIERI/PMMA

MPIA

CBMS

PIERI/PMMA

MPIA

CBMS

PIERI

PMMA

CBMS

MPIA/PIERI/PMMA

CBMS

MPIA/PIERI/PMMA

Session TSession TSession TSession TSession Tit lesit lesit lesit lesit les

PEP School on Poverty Mapping

PEP Policy Conference:

Impact Evaluation: Lessons from Latin America

PEP Policy Conference:

Public Infrastructure and Inclusive Growth

The Role of CBMS in Fast-Tracking the

Achievement of the MDGs

Labor

Crisis

Communications Workshop

Monitoring Household Coping Responses During

Complex Crises

Monitoring the Impacts of the Global Financial

Crisis on Poverty

Impact Evaluation

Growth

CBMS Implementation and Application at the

Commune Level in Cambodia

Education

Growth

Multidimensional Poverty Analysis

Using CBMS for Monitoring Women and Children’s

Well-Being

Field Experiments

Equity/Poverty

Vulnerability Risk Mapping and Assessment for

Monitoring the Impacts of Climate Change

Individual Meetings with Resource Persons

Monitoring Household Living Conditions Using

CBMS

New CBMS Initiatives

Individual Meetings with Resource Persons

R o o mR o o mR o o mR o o mR o o m

Executive Meeting Room

Era Grand Ballroom

Era Grand Ballroom


President Lounge Meeting

Room

Club Lounge Meeting Room

Era Grand Ballroom



Room

Era Grand Ballroom



Room

Era Grand Ballroom


Room


Era Grand Ballroom

Era Grand Ballroom

9th PEP Research Network General Meeting9th PEP Research Network General Meeting9th PEP Research Network General Meeting9th PEP Research Network General Meeting9th PEP Research Network General MeetingAt-a-GlanceAt-a-GlanceAt-a-GlanceAt-a-GlanceAt-a-Glance


Day 1Day 1Day 1Day 1Day 1

Opening Program

Session 1: Presentation of CBMS CountryPresentation of CBMS CountryPresentation of CBMS CountryPresentation of CBMS CountryPresentation of CBMS Country

TTTTTeamseamseamseamseams

Session 2: Installation and a New CBMS-Installation and a New CBMS-Installation and a New CBMS-Installation and a New CBMS-Installation and a New CBMS-

NRDB DatabaseNRDB DatabaseNRDB DatabaseNRDB DatabaseNRDB Database

Session 3: Util izing Existing Spatial DataUtil izing Existing Spatial DataUtil izing Existing Spatial DataUtil izing Existing Spatial DataUtil izing Existing Spatial Data

A. Viewing existing shapefiles

B. Printing map layouts

Session 4: Creating New Spatial DataCreating New Spatial DataCreating New Spatial DataCreating New Spatial DataCreating New Spatial Data

A. Overlaying using scanned

images with coordinates

B. Digitizing (Polygons, Polylines

and Points)

Session 5: Uti l iz ing Existing Non-spatialUti l iz ing Existing Non-spatialUti l iz ing Existing Non-spatialUti l iz ing Existing Non-spatialUti l iz ing Existing Non-spatial

DataDataDataDataData

A. Data file conversion

B. Importing files from compatible

program

Day 2Day 2Day 2Day 2Day 2

Session 6: Displaying Poverty MapsDisplaying Poverty MapsDisplaying Poverty MapsDisplaying Poverty MapsDisplaying Poverty Maps

A. Modifying map layer properties

for CBMS core indicators

B. Thematic mapping and its

interpretation

C. Saving map lay-outs

D. Copying the output map to

other programs

E. Exercise on outputting

different map layers

Session 7: Reports, Graphs and QueriesReports, Graphs and QueriesReports, Graphs and QueriesReports, Graphs and QueriesReports, Graphs and Queries

Session 8: Overview of the CBMSOverview of the CBMSOverview of the CBMSOverview of the CBMSOverview of the CBMS

Data Processing System (CSProData Processing System (CSProData Processing System (CSProData Processing System (CSProData Processing System (CSPro

and Statsim)and Statsim)and Statsim)and Statsim)and Statsim)

Resource Persons:Resource Persons:Resource Persons:Resource Persons:Resource Persons:

Jasminda Asirot-Quilitis and Novee Lor LeysoJasminda Asirot-Quilitis and Novee Lor LeysoJasminda Asirot-Quilitis and Novee Lor LeysoJasminda Asirot-Quilitis and Novee Lor LeysoJasminda Asirot-Quilitis and Novee Lor Leyso

Members, CBMS Philippines Research Team

PEP School on Poverty MappingPEP School on Poverty MappingPEP School on Poverty MappingPEP School on Poverty MappingPEP School on Poverty Mapping(Advanced Module)(Advanced Module)(Advanced Module)(Advanced Module)(Advanced Module)

December 3-4, 2011

8:30am-5:30pm

Objectives:Objectives:Objectives:Objectives:Objectives:At the end of the training, the participants are expected to:

1. Be familiar with the CBMS-NRDB program used in poverty mapping

2. Be equipped with knowledge on how to create CBMS poverty maps and interpret the results


Opening CeremonyOpening CeremonyOpening CeremonyOpening CeremonyOpening Ceremony

8:30 to 9:30 - Era Grand Ballroom

Overview of the PEP/Conference ActivitiesOverview of the PEP/Conference ActivitiesOverview of the PEP/Conference ActivitiesOverview of the PEP/Conference ActivitiesOverview of the PEP/Conference Activities

Celia M. Reyes & John M. Cockburn

PEP Reseach Network Co-Directors

Welcome RemarksWelcome RemarksWelcome RemarksWelcome RemarksWelcome Remarks

Rohinton Medhora

Vice President, IDRC

Opening RemarksOpening RemarksOpening RemarksOpening RemarksOpening Remarks

H.E. Chhay Than

Senior Minister, Ministry of Planning

Cambodia

PEP Policy ConferencePEP Policy ConferencePEP Policy ConferencePEP Policy ConferencePEP Policy ConferenceDecember 5, 2011

8:30am-4:00pm

Afternoon SessionAfternoon SessionAfternoon SessionAfternoon SessionAfternoon Session

Public Infrastructure and Inclusive GrowthPublic Infrastructure and Inclusive GrowthPublic Infrastructure and Inclusive GrowthPublic Infrastructure and Inclusive GrowthPublic Infrastructure and Inclusive Growth

2:00 to 4:00 - Room: Era Grand Ballroom

Chair: Jean-Yves Duclos, PEPJean-Yves Duclos, PEPJean-Yves Duclos, PEPJean-Yves Duclos, PEPJean-Yves Duclos, PEP

Simulating the Distributive Impacts ofSimulating the Distributive Impacts ofSimulating the Distributive Impacts ofSimulating the Distributive Impacts ofSimulating the Distributive Impacts of

Different Growth Strategies in the PhilippinesDifferent Growth Strategies in the PhilippinesDifferent Growth Strategies in the PhilippinesDifferent Growth Strategies in the PhilippinesDifferent Growth Strategies in the Philippines

Erwin Corong

Philippines

Discussants:

Tomas Africa, OECD

Mia Mikic, ESDA

Public Infrastructure Investment and InclusivePublic Infrastructure Investment and InclusivePublic Infrastructure Investment and InclusivePublic Infrastructure Investment and InclusivePublic Infrastructure Investment and Inclusive

Growth in ChinaGrowth in ChinaGrowth in ChinaGrowth in ChinaGrowth in China

Yumei Zhang

China

Discussants:

Evan Due, IDRC

Fan Zhai, CIC

Morning SessionMorning SessionMorning SessionMorning SessionMorning Session

Impact Evaluation: Lessons from Latin AmericaImpact Evaluation: Lessons from Latin AmericaImpact Evaluation: Lessons from Latin AmericaImpact Evaluation: Lessons from Latin AmericaImpact Evaluation: Lessons from Latin America

10:00 to 12:00 - Era Grand Ballroom

Chair: Christopher Ryan, ANUChristopher Ryan, ANUChristopher Ryan, ANUChristopher Ryan, ANUChristopher Ryan, ANU

Impact Evaluation for Policy Making: A CloseImpact Evaluation for Policy Making: A CloseImpact Evaluation for Policy Making: A CloseImpact Evaluation for Policy Making: A CloseImpact Evaluation for Policy Making: A Close

Look at Latin American Countries with WeakerLook at Latin American Countries with WeakerLook at Latin American Countries with WeakerLook at Latin American Countries with WeakerLook at Latin American Countries with Weaker

Research CapacitiesResearch CapacitiesResearch CapacitiesResearch CapacitiesResearch Capacities

Martin Valdivia

Peru

Discussants:

Alice N’gan’ga, Strathmore University (to be confirmed)

Karen Suarez, UN Women (to be confirmed)

An Impact EvAn Impact EvAn Impact EvAn Impact EvAn Impact Evaluation of Paluation of Paluation of Paluation of Paluation of PANESANESANESANESANES

Veronica Amarante

Uruguay

Discussants:

Christopher Ryan, ANU

Sebastian Auguste, UNICEN (to be confirmed)

Open Forum

12:00 to 14:00 - Lunch Break


Chair: Rosalia Sciort inoChair: Rosalia Sciort inoChair: Rosalia Sciort inoChair: Rosalia Sciort inoChair: Rosalia Sciort ino

Fast TFast TFast TFast TFast Tracking the Achievement of theracking the Achievement of theracking the Achievement of theracking the Achievement of theracking the Achievement of the

Mil lennium Development Goals inMil lennium Development Goals inMil lennium Development Goals inMil lennium Development Goals inMil lennium Development Goals in

Agusan del Sur, Phi l ippinesAgusan del Sur, Phi l ippinesAgusan del Sur, Phi l ippinesAgusan del Sur, Phi l ippinesAgusan del Sur, Phi l ippines

Governor Adolph Edward Plaza

Province of Agusan del Sur, Philippines

Role of CBMS for Meeting the MDGsRole of CBMS for Meeting the MDGsRole of CBMS for Meeting the MDGsRole of CBMS for Meeting the MDGsRole of CBMS for Meeting the MDGs

and Improving Governance in Krat ieand Improving Governance in Krat ieand Improving Governance in Krat ieand Improving Governance in Krat ieand Improving Governance in Krat ie

P rov inceP rov inceP rov inceP rov inceP rov ince

Governor Kham Phoeun

Kratie Province, Cambodia

Use of CBMS for Improving LocalUse of CBMS for Improving LocalUse of CBMS for Improving LocalUse of CBMS for Improving LocalUse of CBMS for Improving Local

Governance and in Achieving MDGs inGovernance and in Achieving MDGs inGovernance and in Achieving MDGs inGovernance and in Achieving MDGs inGovernance and in Achieving MDGs in

PekalonganPekalonganPekalonganPekalonganPekalongan

Mayor Basyir Ahmad, MD

Municipality of Pekalongan, Indonesia

Use of CBMS for ImplementingUse of CBMS for ImplementingUse of CBMS for ImplementingUse of CBMS for ImplementingUse of CBMS for Implementing

Development Programs to Achieve theDevelopment Programs to Achieve theDevelopment Programs to Achieve theDevelopment Programs to Achieve theDevelopment Programs to Achieve the

MDGs and in Improving Goverance inMDGs and in Improving Goverance inMDGs and in Improving Goverance inMDGs and in Improving Goverance inMDGs and in Improving Goverance in

the City of Tthe City of Tthe City of Tthe City of Tthe City of Tabacoabacoabacoabacoabaco

Mayor Krisel Lagman-Luistro

Tabaco City, Albay, Philippines

National Strategy for ReducingNational Strategy for ReducingNational Strategy for ReducingNational Strategy for ReducingNational Strategy for Reducing

Poverty in the Phi l ippinesPoverty in the Phi l ippinesPoverty in the Phi l ippinesPoverty in the Phi l ippinesPoverty in the Phi l ippines

Asec. Lila Shahani

NAPC, Philippines

Phi l ippine National GovernmentPhi l ippine National GovernmentPhi l ippine National GovernmentPhi l ippine National GovernmentPhi l ippine National Government

Response to Meeting the MDGsResponse to Meeting the MDGsResponse to Meeting the MDGsResponse to Meeting the MDGsResponse to Meeting the MDGs

Dir. Erlinda Capones

NEDA, Philippines

Actual Uses of CBMS in the DesignActual Uses of CBMS in the DesignActual Uses of CBMS in the DesignActual Uses of CBMS in the DesignActual Uses of CBMS in the Design

and Implementat ion of Strategies forand Implementat ion of Strategies forand Implementat ion of Strategies forand Implementat ion of Strategies forand Implementat ion of Strategies for

Meeting the MDGs in KenyaMeeting the MDGs in KenyaMeeting the MDGs in KenyaMeeting the MDGs in KenyaMeeting the MDGs in Kenya

Gideon Mailu

Ministry of State for Planning National

Development & Vision 2030, Kenya

The Role of CBMS for Monitor ing theThe Role of CBMS for Monitor ing theThe Role of CBMS for Monitor ing theThe Role of CBMS for Monitor ing theThe Role of CBMS for Monitor ing the

MDGs and in Implementing PovertyMDGs and in Implementing PovertyMDGs and in Implementing PovertyMDGs and in Implementing PovertyMDGs and in Implementing Poverty

Reduct ion Ini t iat ives in CambodiaReduct ion Ini t iat ives in CambodiaReduct ion Ini t iat ives in CambodiaReduct ion Ini t iat ives in CambodiaReduct ion Ini t iat ives in Cambodia

Khin Song

Deputy Director General

NIS, Cambodia

Role of CDB for Monitor ing the MDGsRole of CDB for Monitor ing the MDGsRole of CDB for Monitor ing the MDGsRole of CDB for Monitor ing the MDGsRole of CDB for Monitor ing the MDGs

at Sub-nat ional Levelsat Sub-nat ional Levelsat Sub-nat ional Levelsat Sub-nat ional Levelsat Sub-nat ional Levels

Mean Thavorah, D & D and Seth Koma

Ministry of Planning, Cambodia

Linking CBMS Methodology and theLinking CBMS Methodology and theLinking CBMS Methodology and theLinking CBMS Methodology and theLinking CBMS Methodology and the

C D BC D BC D BC D BC D B

Sherif Rushdy

CMDG Scorecards Advisor, Cambodia

9th PEP Research Network General Meeting9th PEP Research Network General Meeting9th PEP Research Network General Meeting9th PEP Research Network General Meeting9th PEP Research Network General MeetingParallel SessionsParallel SessionsParallel SessionsParallel SessionsParallel Sessions

December 6, 2011 December 6, 2011 December 6, 2011 December 6, 2011 December 6, 2011 • AM Sessions• AM Sessions• AM Sessions• AM Sessions• AM Sessions

Era Grand Ballroom(8:30-1:00)

CBMS PIERI / PMMAMPIA

Chair: Maria Laura AlzuaChair: Maria Laura AlzuaChair: Maria Laura AlzuaChair: Maria Laura AlzuaChair: Maria Laura Alzua

Impact Evaluation of the Brazi l ianImpact Evaluation of the Brazi l ianImpact Evaluation of the Brazi l ianImpact Evaluation of the Brazi l ianImpact Evaluation of the Brazi l ian

Pension Program Beneficio dePension Program Beneficio dePension Program Beneficio dePension Program Beneficio dePension Program Beneficio de

Prestaeo Continuada (BPC) onPrestaeo Continuada (BPC) onPrestaeo Continuada (BPC) onPrestaeo Continuada (BPC) onPrestaeo Continuada (BPC) on

Family WelfareFamily WelfareFamily WelfareFamily WelfareFamily Welfare

Ana Lucia Kassouf

Brazil

Discussants:

Veronica Amarante

Maria Laura Alzua

Wage and Income Inequalit iesWage and Income Inequalit iesWage and Income Inequalit iesWage and Income Inequalit iesWage and Income Inequalit ies

among Chinese Rural -Urbanamong Chinese Rural -Urbanamong Chinese Rural -Urbanamong Chinese Rural -Urbanamong Chinese Rural -Urban

Migrants from 2002 to 2007Migrants from 2002 to 2007Migrants from 2002 to 2007Migrants from 2002 to 2007Migrants from 2002 to 2007

Zhong Zhao

China

Discussants:

Priyanka Jayawardena

Yumei Zhang

The Rural Household Income andThe Rural Household Income andThe Rural Household Income andThe Rural Household Income andThe Rural Household Income and

Poverty Reduction Effects ofPoverty Reduction Effects ofPoverty Reduction Effects ofPoverty Reduction Effects ofPoverty Reduction Effects of

Prior ity Forestry Programs inPrior ity Forestry Programs inPrior ity Forestry Programs inPrior ity Forestry Programs inPrior ity Forestry Programs in

C h i n aC h i n aC h i n aC h i n aC h i n a

Can Liu

China

Discussants:

Liguo Lin (to be confirmed)

Habiba Djebbari

Executive Meeting Room(9:00-12:30)

Chair: Bernard DecaluwéChair: Bernard DecaluwéChair: Bernard DecaluwéChair: Bernard DecaluwéChair: Bernard Decaluwé

Global Economic CrisisGlobal Economic CrisisGlobal Economic CrisisGlobal Economic CrisisGlobal Economic Crisis

and theand theand theand theand the Phil ippine Economy: APhil ippine Economy: APhil ippine Economy: APhil ippine Economy: APhil ippine Economy: A

Quantitat ive AssessmentQuantitat ive AssessmentQuantitat ive AssessmentQuantitat ive AssessmentQuantitat ive Assessment

Erwin Corong

Philippines

Discussants:

Yazid Dissou (to be confirmed)

Bernard Decaluwe

Macro-Micro Impact of GlobalMacro-Micro Impact of GlobalMacro-Micro Impact of GlobalMacro-Micro Impact of GlobalMacro-Micro Impact of Global

Financial Crisis in PakistanFinancial Crisis in PakistanFinancial Crisis in PakistanFinancial Crisis in PakistanFinancial Crisis in Pakistan

Vaqar Ahmed

Pakistan

Discussants:

Fan Zhai

Renato Flores (to be confirmed)

Implications of the GlobalImplications of the GlobalImplications of the GlobalImplications of the GlobalImplications of the Global

Economic Crisis for theEconomic Crisis for theEconomic Crisis for theEconomic Crisis for theEconomic Crisis for the

Bangladesh EconomyBangladesh EconomyBangladesh EconomyBangladesh EconomyBangladesh Economy

Selim Raihan

Bangladesh

Discussants:

Renato Flores (to be confirmed)

Fan Zhai

President Lounge Meeting Room(9:00-12:30)




Era Grand Ballroom(8:30-10:10/1030-12:30)

CBMS

Chair: Chair: Chair: Chair: Chair: Herminia Francisco/THerminia Francisco/THerminia Francisco/THerminia Francisco/THerminia Francisco/Tomas Afr icaomas Afr icaomas Afr icaomas Afr icaomas Afr ica

Monitoring Household Coping andMonitoring Household Coping andMonitoring Household Coping andMonitoring Household Coping andMonitoring Household Coping and

Adaptation Strategies/Adaptation Strategies/Adaptation Strategies/Adaptation Strategies/Adaptation Strategies/

Phil ippines Case StudyPhil ippines Case StudyPhil ippines Case StudyPhil ippines Case StudyPhil ippines Case Study

Celia M. Reyes

Philippines

Monitoring Household CopingMonitoring Household CopingMonitoring Household CopingMonitoring Household CopingMonitoring Household Coping

Strategies in KenyaStrategies in KenyaStrategies in KenyaStrategies in KenyaStrategies in Kenya

Mary Nyamongo

Kenya

Discussant:

W. Randall Spence

Monitoring the Impacts of the Global

Financial Crisis on Poverty

Assessing the Impact of theAssessing the Impact of theAssessing the Impact of theAssessing the Impact of theAssessing the Impact of the

Global Financial Crisis inGlobal Financial Crisis inGlobal Financial Crisis inGlobal Financial Crisis inGlobal Financial Crisis in

Indonesia: Impact on HouseholdsIndonesia: Impact on HouseholdsIndonesia: Impact on HouseholdsIndonesia: Impact on HouseholdsIndonesia: Impact on Households

in CBMS Areas in Kotain CBMS Areas in Kotain CBMS Areas in Kotain CBMS Areas in Kotain CBMS Areas in Kota

Peka longanPeka longanPeka longanPeka longanPeka longan

Akhmadi

Indonesia

Impacts of Global Financial andImpacts of Global Financial andImpacts of Global Financial andImpacts of Global Financial andImpacts of Global Financial and

Economic Crisis: Lao CBMS SitesEconomic Crisis: Lao CBMS SitesEconomic Crisis: Lao CBMS SitesEconomic Crisis: Lao CBMS SitesEconomic Crisis: Lao CBMS Sites

Vilaysook Sisoulath

Lao PDR

Impacts of the Global FinancialImpacts of the Global FinancialImpacts of the Global FinancialImpacts of the Global FinancialImpacts of the Global Financial

Crisis on Cambodian HouseholdCrisis on Cambodian HouseholdCrisis on Cambodian HouseholdCrisis on Cambodian HouseholdCrisis on Cambodian Household

Try Sothearith

Cambodia

Socioeconomic Effects of theSocioeconomic Effects of theSocioeconomic Effects of theSocioeconomic Effects of theSocioeconomic Effects of the

Global Financial Crisis: EvidenceGlobal Financial Crisis: EvidenceGlobal Financial Crisis: EvidenceGlobal Financial Crisis: EvidenceGlobal Financial Crisis: Evidence

from Rural Nigeriafrom Rural Nigeriafrom Rural Nigeriafrom Rural Nigeriafrom Rural Nigeria

Anthonia Achike

Nigeria


MPIA

Chair: Pramila KrishnanChair: Pramila KrishnanChair: Pramila KrishnanChair: Pramila KrishnanChair: Pramila Krishnan

Simulating the Distr ibutiveSimulating the Distr ibutiveSimulating the Distr ibutiveSimulating the Distr ibutiveSimulating the Distr ibutive

Impacts of Different GrowthImpacts of Different GrowthImpacts of Different GrowthImpacts of Different GrowthImpacts of Different Growth

Strategies in PakistanStrategies in PakistanStrategies in PakistanStrategies in PakistanStrategies in Pakistan

Vaqar Ahmed

Pakistan

Discussants:

Yazid Dissou (to be confirmed)

Luca Tiberti

Publ ic infrastructure investmentPublic infrastructure investmentPublic infrastructure investmentPublic infrastructure investmentPublic infrastructure investment

and Inclusive Growth in China: Aand Inclusive Growth in China: Aand Inclusive Growth in China: Aand Inclusive Growth in China: Aand Inclusive Growth in China: A

Dynamic General Equi l ibr iumDynamic General Equi l ibr iumDynamic General Equi l ibr iumDynamic General Equi l ibr iumDynamic General Equi l ibr ium

A n a l y s i sA n a l y s i sA n a l y s i sA n a l y s i sA n a l y s i s

Yumei Zhang

China

Discussants:

Zhong Zhao (to be confirmed)

Hélène Maisonnave

Simulating the Distr ibutiveSimulating the Distr ibutiveSimulating the Distr ibutiveSimulating the Distr ibutiveSimulating the Distr ibutive

Impacts of Different GrowthImpacts of Different GrowthImpacts of Different GrowthImpacts of Different GrowthImpacts of Different Growth

Strategies in the Phi l ippinesStrategies in the Phi l ippinesStrategies in the Phi l ippinesStrategies in the Phi l ippinesStrategies in the Phi l ippines

Erwin Corong

Philippines

Discussants:

Jane Mariara

Vaqar Ahmed


PIERI

Chair: MarChair: MarChair: MarChair: MarChair: Mar tin Vtin Vtin Vtin Vtin Valdiviaaldiviaaldiviaaldiviaaldivia

Évaluation de l’ impact desÉvaluation de l’ impact desÉvaluation de l’ impact desÉvaluation de l’ impact desÉvaluation de l’ impact des

programmes de cantinesprogrammes de cantinesprogrammes de cantinesprogrammes de cantinesprogrammes de cantines

scolaires et de déparasitagescolaires et de déparasitagescolaires et de déparasitagescolaires et de déparasitagescolaires et de déparasitage

des écoles primaires rurales audes écoles primaires rurales audes écoles primaires rurales audes écoles primaires rurales audes écoles primaires rurales au

S é n é g a lS é n é g a lS é n é g a lS é n é g a lS é n é g a l

Abdoulaye Diagne

Senegal

Discussants:

Guillermo Cruces

Habiba Djebbari

Improving School Quality in EastImproving School Quality in EastImproving School Quality in EastImproving School Quality in EastImproving School Quality in East

Afr ica: Randomized EvaluationAfr ica: Randomized EvaluationAfr ica: Randomized EvaluationAfr ica: Randomized EvaluationAfr ica: Randomized Evaluation

of Pol icies to Create Localof Pol icies to Create Localof Pol icies to Create Localof Pol icies to Create Localof Pol icies to Create Local

Accountabil i ty under FreeAccountabil i ty under FreeAccountabil i ty under FreeAccountabil i ty under FreeAccountabil i ty under Free

PrimarPrimarPrimarPrimarPrimar y Education in Uganday Education in Uganday Education in Uganday Education in Uganday Education in Uganda

Madina Guloba

Uganda

Discussants:

Alice Muthoni Ng’ang’a (to be confirmed)

Martin Valdivia

The Impacts of “Land of Love,The Impacts of “Land of Love,The Impacts of “Land of Love,The Impacts of “Land of Love,The Impacts of “Land of Love,

Water Cellar for Mothers”Water Cellar for Mothers”Water Cellar for Mothers”Water Cellar for Mothers”Water Cellar for Mothers”

Liguo Lin

China

Discussants:

Can Liu (to be confirmed)

Maria Laura Alzua



December 7, 2011 December 7, 2011 December 7, 2011 December 7, 2011 December 7, 2011 • PM Sessions• PM Sessions• PM Sessions• PM Sessions• PM Sessions

Era Grand Ballroom(2:00-3:10 / 3:30-6:00)

CBMS

Chair: TChair: TChair: TChair: TChair: Tomas Afr ica/H.E. Ouk Chayomas Afr ica/H.E. Ouk Chayomas Afr ica/H.E. Ouk Chayomas Afr ica/H.E. Ouk Chayomas Afr ica/H.E. Ouk Chay

continuation of the session on:

Monitoring the Impacts of the

Global Financial Crisis on Poverty

Pol icy Response to Mit igate thePolicy Response to Mit igate thePolicy Response to Mit igate thePolicy Response to Mit igate thePolicy Response to Mit igate the

Impact of the Global CrisisImpact of the Global CrisisImpact of the Global CrisisImpact of the Global CrisisImpact of the Global Crisis

Mayor Basyir Ahmad, MD

Municipality of Pekalongan, Indonesia

Bounheng Xayasene

Sarravan Province, Lao PDR

H.E. Theng Pagnathun

Deputy Director General, Ministry of

Planning, Cambodia

Ofobuike Igwebueze

Secretary Nsukka Local Government

Council, Nigeria

CBMS Implementation and Application at

the Commune Level in Cambodia

Commune Representatives fromCommune Representatives fromCommune Representatives fromCommune Representatives fromCommune Representatives from

Kratie ProvinceKratie ProvinceKratie ProvinceKratie ProvinceKratie Province


Battambang ProvinceBattambang ProvinceBattambang ProvinceBattambang ProvinceBattambang Province


Kampong Thom ProvinceKampong Thom ProvinceKampong Thom ProvinceKampong Thom ProvinceKampong Thom Province

Using CDB-based MDG ScorecardsUsing CDB-based MDG ScorecardsUsing CDB-based MDG ScorecardsUsing CDB-based MDG ScorecardsUsing CDB-based MDG Scorecards

in Sub-national Planningin Sub-national Planningin Sub-national Planningin Sub-national Planningin Sub-national Planning

Representatives from the Provincial

Department of Planning of Phnom Penh

and Prey Veng Province, Cambodia

Policy Response:

Chea Chanthum

Deputy Director General of GDP


MPIA

Chair: Hélène MaisonnaveChair: Hélène MaisonnaveChair: Hélène MaisonnaveChair: Hélène MaisonnaveChair: Hélène Maisonnave

Impacts of InfrastructureImpacts of InfrastructureImpacts of InfrastructureImpacts of InfrastructureImpacts of Infrastructure

Investment in South Afr ica: AInvestment in South Afr ica: AInvestment in South Afr ica: AInvestment in South Afr ica: AInvestment in South Afr ica: A

Dynamic CGE AnalysisDynamic CGE AnalysisDynamic CGE AnalysisDynamic CGE AnalysisDynamic CGE Analysis

Vandudzai Mbanda

South Africa

Discussants:

Phouphet Kyophilavong (to be confirmed)

Selim Raihan (to be confirmed)

Resource Boom, Growth andResource Boom, Growth andResource Boom, Growth andResource Boom, Growth andResource Boom, Growth and

Poverty in LaosPoverty in LaosPoverty in LaosPoverty in LaosPoverty in Laos

Phouphet Kyophilavong

Lao People’s Democratic Republic

Discussants:

Vandudzai Mbanda (to be confirmed)

Erwin Corong (to be confirmed)


PIERI / PMMA

Chair: Di leni GunawardenaChair: Di leni GunawardenaChair: Di leni GunawardenaChair: Di leni GunawardenaChair: Di leni Gunawardena

Are There Ethnic Inequality TAre There Ethnic Inequality TAre There Ethnic Inequality TAre There Ethnic Inequality TAre There Ethnic Inequality Trapsrapsrapsrapsraps

in Education? Evidence for Brazi lin Education? Evidence for Brazi lin Education? Evidence for Brazi lin Education? Evidence for Brazi lin Education? Evidence for Brazi l

and Chi leand Chi leand Chi leand Chi leand Chi le

Guillermo Cruces

Argentina

Discussants:

Ana Lucia Kassouf

Pramila Krishnan

Improving School Quality in EastImproving School Quality in EastImproving School Quality in EastImproving School Quality in EastImproving School Quality in East

Afr ica: Randomized Evaluation ofAfr ica: Randomized Evaluation ofAfr ica: Randomized Evaluation ofAfr ica: Randomized Evaluation ofAfr ica: Randomized Evaluation of

Pol icies to Create LocalPol icies to Create LocalPol icies to Create LocalPol icies to Create LocalPol icies to Create Local

Accountabi l i ty under Free PrimaryAccountabi l i ty under Free PrimaryAccountabi l i ty under Free PrimaryAccountabi l i ty under Free PrimaryAccountabi l i ty under Free Primary

Education in KenyaEducation in KenyaEducation in KenyaEducation in KenyaEducation in Kenya

Alice Muthoni Ng’ang’a

Kenya

Discussants:

Madina Guloba (to be confirmed)

Martin Valdivia

The Impact of TThe Impact of TThe Impact of TThe Impact of TThe Impact of Tuit ion Rel iefuit ion Rel iefuit ion Rel iefuit ion Rel iefuit ion Rel ief

Programs in Senior High School onPrograms in Senior High School onPrograms in Senior High School onPrograms in Senior High School onPrograms in Senior High School on

Poor Students in Rural ChinaPoor Students in Rural ChinaPoor Students in Rural ChinaPoor Students in Rural ChinaPoor Students in Rural China

Xinxin Chen

China

Discussants:

Mohamed Lo

Christopher Ryan







CBMS PIERI PMMA

Chair: Christopher RyanChair: Christopher RyanChair: Christopher RyanChair: Christopher RyanChair: Christopher Ryan

Field Experiments and Pol icyField Experiments and Pol icyField Experiments and Pol icyField Experiments and Pol icyField Experiments and Pol icy

E va l ua t i onEva l ua t i onEva l ua t i onEva l ua t i onEva l ua t i on

Habiba Djebbari

Canada

Some Prel iminary Findings fromSome Prel iminary Findings fromSome Prel iminary Findings fromSome Prel iminary Findings fromSome Prel iminary Findings from

Public Good Games in MaliPubl ic Good Games in MaliPubl ic Good Games in MaliPubl ic Good Games in MaliPubl ic Good Games in Mali

Maria Laura Alzua

Mali

Chair: Jane MariaraChair: Jane MariaraChair: Jane MariaraChair: Jane MariaraChair: Jane Mariara

Is the VIs the VIs the VIs the VIs the Value of Humanityalue of Humanityalue of Humanityalue of Humanityalue of Humanity

increasing? A Crit ical - levelincreasing? A Crit ical - levelincreasing? A Crit ical - levelincreasing? A Crit ical - levelincreasing? A Crit ical - level

E n q u i r yE n q u i r yE n q u i r yE n q u i r yE n q u i r y

Jean-Yves Duclos

Canada

Discussants:

Pramila Krishnan

Guillermo Cruces (to be confirmed)

TTTTTax Reforms in Sri Lanka: Wil l aax Reforms in Sri Lanka: Wil l aax Reforms in Sri Lanka: Wil l aax Reforms in Sri Lanka: Wil l aax Reforms in Sri Lanka: Wil l a

TTTTTax on Public Servax on Public Servax on Public Servax on Public Servax on Public Servants Improveants Improveants Improveants Improveants Improve

Prog ress i v i t y?P rog ress i v i t y?P rog ress i v i t y?P rog ress i v i t y?P rog ress i v i t y?

Priyanka Jayawardena

Sri Lanka

Discussants:

Erwin Corong (to be confirmed)

Dileni Gunewardena

Chair: German Calfat/VChair: German Calfat/VChair: German Calfat/VChair: German Calfat/VChair: German Calfat/Vu Tu Tu Tu Tu Tuan Anhuan Anhuan Anhuan Anhuan Anh

Implementing a Community -BasedImplementing a Community -BasedImplementing a Community -BasedImplementing a Community -BasedImplementing a Community -Based

Poverty Monitoring System inPoverty Monitoring System inPoverty Monitoring System inPoverty Monitoring System inPoverty Monitoring System in

A rgen t inaA rgen t inaA rgen t inaA rgen t inaA rgen t ina

Sebastian Auguste

Argentina

Implementing a Community -BasedImplementing a Community -BasedImplementing a Community -BasedImplementing a Community -BasedImplementing a Community -Based

Mult i Dimensional PovertyMult i Dimensional PovertyMult i Dimensional PovertyMult i Dimensional PovertyMult i Dimensional Poverty

Monitoring System in LimpopoMonitoring System in LimpopoMonitoring System in LimpopoMonitoring System in LimpopoMonitoring System in Limpopo

Province, South Afr icaProvince, South Afr icaProvince, South Afr icaProvince, South Afr icaProvince, South Afr ica

Grace Oloo

South Africa

Discussants:

Matias Civale

Secretario de Gobierno

Municipio de Tandil, Argentina

Kathleen Diga

Project Manager

University of Kwazulu-Natal

Using CBMS for Monitoring Women and

Children’s Well-Being

The Effects of Household Size andThe Effects of Household Size andThe Effects of Household Size andThe Effects of Household Size andThe Effects of Household Size and

Other Factors on SchoolOther Factors on SchoolOther Factors on SchoolOther Factors on SchoolOther Factors on School

Part icipation in Urban and RuralPart icipation in Urban and RuralPart icipation in Urban and RuralPart icipation in Urban and RuralPart icipation in Urban and Rural

Households: Case of Pasay CityHouseholds: Case of Pasay CityHouseholds: Case of Pasay CityHouseholds: Case of Pasay CityHouseholds: Case of Pasay City

and Eastern Samar in theand Eastern Samar in theand Eastern Samar in theand Eastern Samar in theand Eastern Samar in the

Ph i l i p p i n esPh i l i p p i n esPh i l i p p i n esPh i l i p p i n esPh i l i p p i n es

Tereso S. Tullao, Jr.

Philippines

Results of the Pi lot CBMS-GRBResults of the Pi lot CBMS-GRBResults of the Pi lot CBMS-GRBResults of the Pi lot CBMS-GRBResults of the Pi lot CBMS-GRB

Init iat ive in PeruInit iat ive in PeruInit iat ive in PeruInit iat ive in PeruInit iat ive in Peru

Ramiro Garcia

Peru

Analyse De La PauvretéAnalyse De La PauvretéAnalyse De La PauvretéAnalyse De La PauvretéAnalyse De La Pauvreté

Mult idimensionnelle DesMult idimensionnelle DesMult idimensionnelle DesMult idimensionnelle DesMult idimensionnelle Des

Arrondissements De Cotonou,Arrondissements De Cotonou,Arrondissements De Cotonou,Arrondissements De Cotonou,Arrondissements De Cotonou,

Covè Et AdjarraCovè Et AdjarraCovè Et AdjarraCovè Et AdjarraCovè Et Adjarra

Marie Odile Attanasso

Benin

Discussant:

Nancy Spence



December 8, 2011 December 8, 2011 December 8, 2011 December 8, 2011 December 8, 2011 • PM Sessions• PM Sessions• PM Sessions• PM Sessions• PM Sessions


CBMS

Chair: TChair: TChair: TChair: TChair: Tereso S. Tereso S. Tereso S. Tereso S. Tereso S. Tul lao, Jrul lao, Jrul lao, Jrul lao, Jrul lao, Jr.....

The CBMS-EEPSEA Init iat iveThe CBMS-EEPSEA Init iat iveThe CBMS-EEPSEA Init iat iveThe CBMS-EEPSEA Init iat iveThe CBMS-EEPSEA Init iat ive

Celia M. Reyes

Philippines

Support to Local Governments inSupport to Local Governments inSupport to Local Governments inSupport to Local Governments inSupport to Local Governments in

Viet Nam to Improve Cl imateViet Nam to Improve Cl imateViet Nam to Improve Cl imateViet Nam to Improve Cl imateViet Nam to Improve Cl imate

Change Responses Using CBMSChange Responses Using CBMSChange Responses Using CBMSChange Responses Using CBMSChange Responses Using CBMS

Data and MappingData and MappingData and MappingData and MappingData and Mapping

Vu Tuan Anh

Viet Nam

Support to Local Governments toSupport to Local Governments toSupport to Local Governments toSupport to Local Governments toSupport to Local Governments to

Improve Environment ManagementImprove Environment ManagementImprove Environment ManagementImprove Environment ManagementImprove Environment Management

in Kota Pekalonganin Kota Pekalonganin Kota Pekalonganin Kota Pekalonganin Kota Pekalongan

Rahmitha

Indonesia

Use of CBMS for VUse of CBMS for VUse of CBMS for VUse of CBMS for VUse of CBMS for Vulnerabi l i tyulnerabi l i tyulnerabi l i tyulnerabi l i tyulnerabi l i ty

Risk Mapping: Province ofRisk Mapping: Province ofRisk Mapping: Province ofRisk Mapping: Province ofRisk Mapping: Province of

Marinduque, Phi l ippinesMarinduque, Phi l ippinesMarinduque, Phi l ippinesMarinduque, Phi l ippinesMarinduque, Phi l ippines

Marian Cunanan

Philippines

Discussant:

Anna Liza Bonagua


PIERI / PMMA

Individual MeetingsIndividual MeetingsIndividual MeetingsIndividual MeetingsIndividual Meetings

wi thwi thwi thwi thwi th

Resource PersonsResource PersonsResource PersonsResource PersonsResource Persons


MPIA

Individual MeetingsIndividual MeetingsIndividual MeetingsIndividual MeetingsIndividual Meetings

wi thwi thwi thwi thwi th

Resource PersonsResource PersonsResource PersonsResource PersonsResource Persons





CBMS

Chair: Cel ia M. ReyesChair: Cel ia M. ReyesChair: Cel ia M. ReyesChair: Cel ia M. ReyesChair: Cel ia M. Reyes

Implementation of a CommunityImplementation of a CommunityImplementation of a CommunityImplementation of a CommunityImplementation of a Community

Based Monitoring System forBased Monitoring System forBased Monitoring System forBased Monitoring System forBased Monitoring System for

Monitoring Household LivingMonitoring Household LivingMonitoring Household LivingMonitoring Household LivingMonitoring Household Living

Condit ions at the Local Level inCondit ions at the Local Level inCondit ions at the Local Level inCondit ions at the Local Level inCondit ions at the Local Level in

S e n e g a lS e n e g a lS e n e g a lS e n e g a lS e n e g a l

Momar Balle Sylla

Senegal

Richard Silumbe

Zambia

Cha i r :Cha i r :Cha i r :Cha i r :Cha i r :

CBMS-IOB CollaborationCBMS-IOB CollaborationCBMS-IOB CollaborationCBMS-IOB CollaborationCBMS-IOB Collaboration

German Calfat

Belgium

CBMS Network InnovationsCBMS Network InnovationsCBMS Network InnovationsCBMS Network InnovationsCBMS Network Innovations

TTTTTraining Modulesraining Modulesraining Modulesraining Modulesraining Modules

Pub l i ca t i onsPub l i ca t i onsPub l i ca t i onsPub l i ca t i onsPub l i ca t i ons

Next StepsNext StepsNext StepsNext StepsNext Steps

Celia Reyes

CBMS Network Leader


MPIA

Meeting of the MPIA, PIERI & PMMA Steering CommitteesMeeting of the MPIA, PIERI & PMMA Steering CommitteesMeeting of the MPIA, PIERI & PMMA Steering CommitteesMeeting of the MPIA, PIERI & PMMA Steering CommitteesMeeting of the MPIA, PIERI & PMMA Steering Committees


PIERI / PMMA


Abstracts of Conference PapersAbstracts of Conference PapersAbstracts of Conference PapersAbstracts of Conference PapersAbstracts of Conference PapersAbstracts are arranged in the order of their presentation and according to the subnetworks where they are included.

We regret though that not all abstracts are hereby listed since some were not yet available at the time of printing.

Monitoring Household Coping Strategies During Complex CrisesMonitoring Household Coping Strategies During Complex CrisesMonitoring Household Coping Strategies During Complex CrisesMonitoring Household Coping Strategies During Complex CrisesMonitoring Household Coping Strategies During Complex Crises

and Recoveries: The Case of the Philippinesand Recoveries: The Case of the Philippinesand Recoveries: The Case of the Philippinesand Recoveries: The Case of the Philippinesand Recoveries: The Case of the Philippines

Celia M. Reyes, Alellie B. Sobrevinas and Jeremy de Jesus

This paper presents the preliminary results of the survey on household coping

strategies adopted by households in selected sites in the Philippines as they

experience various types of shocks. The community-based monitoring system

(CBMS) approach was adopted in the conduct of the survey. As such, the

standard CBMS questionnaires were administered among all households in the

four barangays (villages) covered by the survey. In addition, the rider questionnaire

was developed to collect additional information on the various types of shocks

experienced by households, their impacts, the coping strategies adopted and

the recovery of households. Using the data collected through CBMS, this study

analyzes the relationship between the types of shocks and coping decisions of

households in the survey sites. Results of the survey revealed some patterns with regards to the

coping strategies adopted by households. In particular, the coping strategies vary depending on the

severity, frequency and combination of shocks experienced by households. The sequence of adoption

of coping strategies also varies across different types of shocks. For instance, the coping strategies

adopted for price increases may be different from the strategy that they need to adopt in case of

serious illness, serious accident or disability. It was also observed that there are some differences in

the coping strategies adopted by the different groups of households, e.g., poor vs. non-poor households.

Although several types of coping strategies were reported by households in response to various types

of shocks, not all of these strategies are available to all households and therefore, decisions are to

be made depending on the options available to households. It is argued that poor households have

limited options and therefore, have higher probability that they will adopt strategies with harmful

consequences.

Assessing the Impact of the Global Financial Crisis inAssessing the Impact of the Global Financial Crisis inAssessing the Impact of the Global Financial Crisis inAssessing the Impact of the Global Financial Crisis inAssessing the Impact of the Global Financial Crisis in

Indonesia: What is the Impact on Households in the CBMS AreasIndonesia: What is the Impact on Households in the CBMS AreasIndonesia: What is the Impact on Households in the CBMS AreasIndonesia: What is the Impact on Households in the CBMS AreasIndonesia: What is the Impact on Households in the CBMS Areas

in Kota Pekalongan?in Kota Pekalongan?in Kota Pekalongan?in Kota Pekalongan?in Kota Pekalongan?

Akhmadi, Asri Yusrina, Athia Yumna, Rahmitha

The Global Financial Crisis (GFC) is a knock-on effect of the financial crisis

that hit the United States in mid-2008, rapidly growing into a global economic

crisis and spreading to a lot of countries—including the developing ones—in

Europe and Asia. In Indonesia, just like in other developing countries, the

potential impact of the GFC was mitigated by the efforts on the part of the

government so that it would not negatively affect the people’s lives and increase

poverty level in the country.

The Statistics Indonesia has recorded economic growth deceleration in the

country during the financial crisis although it is different from the one facing

the country in 1998/1999. This study tries to analyze the transmission channel of the impact of the

GFC on households through the labor sector in the selected areas of the Community-Based Monitoring

System (CBMS) data collection. This study explores the possibility of the impact of the crisis on (i)

factories and home industries; (ii) the changes in employment, incomes, and consumption; and (iii)

the children’s education in those areas.

Combining qualitative and quantitative methods, the study was done in 5 out of 24 kelurahan—in

which data collection was conducted—that were predicted to get affected by the GFC. There are

13,609 households spread over three kelurahan in Kecamatan (Subdistrict of) Pekalongan Barat—

Kelurahan Medono, Kelurahan Tirto, and Kelurahan Pasirsari—and two kelurahan in Kecamatan

Pekalongan Utara—Kelurahan Krapyak Lor and Kelurahan Panjang Wetan.

CBMS

Cel ia M. ReyesCel ia M. ReyesCel ia M. ReyesCel ia M. ReyesCel ia M. Reyes

CBMS

A k h m a d iA k h m a d iA k h m a d iA k h m a d iA k h m a d i


The qualitative study found that, during the crisis period, some factories cut down on productions or

even ceased operation due to declining demands on their products, rise of prices of mori cloth

(unbleached plain white cloth commonly used for batik) and batik dyes, and change of factory owners

or factory management restructuring prior to the GFC. Consequently, home industries that used to

get sewing or batik-making orders from those factories had fewer jobs or no jobs at all.

From the 13,609 households in the data collection areas, there were 389 households whose members

have had to change professions or even lose their jobs, resulting in the drop of income; hence

decreasing quality and quantity of food intake, change in healthcare patterns, and their children

dropping out of primary or junior high schools.

Implementing a Community-Based Poverty Monitoring System inImplementing a Community-Based Poverty Monitoring System inImplementing a Community-Based Poverty Monitoring System inImplementing a Community-Based Poverty Monitoring System inImplementing a Community-Based Poverty Monitoring System in

ArgentinaArgentinaArgentinaArgentinaArgentina

Sebastian Auguste

CBMS was piloted in two towns in Argentina in September 2011. These towns

- Tandil (Buenos Aires province) and Urundel (Salta province) - have very different

socioeconomic situations. The first one is a medium-sized city (125,000

inhabitants) and the second is a rural town (4,000 inhabitants). This was

carried out with the support of the municipal authorities. In the case of Tandil,

the project received additional financial support to scale up the census. This

paper summarizes the CBMS experience of the CBMS Research Team as well

as presents some descriptive statistics of the results.

Implementing the First Phase of Community-Based MonitoringImplementing the First Phase of Community-Based MonitoringImplementing the First Phase of Community-Based MonitoringImplementing the First Phase of Community-Based MonitoringImplementing the First Phase of Community-Based Monitoring

System in RSA Mutale Local Municipality in Vhembe District SouthSystem in RSA Mutale Local Municipality in Vhembe District SouthSystem in RSA Mutale Local Municipality in Vhembe District SouthSystem in RSA Mutale Local Municipality in Vhembe District SouthSystem in RSA Mutale Local Municipality in Vhembe District South

Af r i caAf r i caAf r i caAf r i caAf r i ca

Grace Oloo

Although the government of South Africa conducts regular poverty monitoring

surveys, the macro-level analysis camouflages differences in poverty that are

based on district and location municipal conditions. These differences can be

explained in terms of the general multidimensional nature of poverty in location

municipalities. Poverty monitoring surveys in South Africa is significantly

institutionalized both in design and coverage at the national level; however, the

non-existence of any institutional mechanism to generate poverty data at the

local level remains a significant constraint in designing an effective poverty

reduction agenda. The report gives an overview of the evolution of the poverty

measuring and monitoring methodology in South Africa followed by highlights on the current poverty

monitoring methodology and identified gaps.

Starting with the first phase of the project, the report explains various strategies used for advocacy

and organization to get a buy in from all local government levels including trainings and workshops.

The report explains some of the challenges encountered during the initial periods and how they were

resolve. Planning and advocacy is key for the success of CBMS in South Africa. This is because a

series of poverty measures have been tried and the problems of poverty seem to be escalating in the

country. A series of trainings undertaken for the rest of the team, both Training of Trainers (TOT) and

enumerators and orientation workshops for communities and their outcome are also highlighted.

Various methodologies to identify key indicators and to capture multi-dimension poverty data are

highlighted including the use of household and community questionnaire, focus group discussions

and basket of other community participatory methodology. Findings of the pre-test and first phase

of the project and challenges thereof are highlighted.

CBMS

Sebast ian AugusteSebast ian AugusteSebast ian AugusteSebast ian AugusteSebast ian Auguste

CBMS

Grace OlooGrace OlooGrace OlooGrace OlooGrace Oloo


The Effects of Household Size and Other Factors on SchoolThe Effects of Household Size and Other Factors on SchoolThe Effects of Household Size and Other Factors on SchoolThe Effects of Household Size and Other Factors on SchoolThe Effects of Household Size and Other Factors on School

Participation in Urban and Rural Households: Case of Pasay CityParticipation in Urban and Rural Households: Case of Pasay CityParticipation in Urban and Rural Households: Case of Pasay CityParticipation in Urban and Rural Households: Case of Pasay CityParticipation in Urban and Rural Households: Case of Pasay City

and Eastern Samar in the Philippinesand Eastern Samar in the Philippinesand Eastern Samar in the Philippinesand Eastern Samar in the Philippinesand Eastern Samar in the Philippines

Tereso S. Tullao, Jr. and John Paolo R. Rivera

The commitment of the Philippines to the United Nations’ Millennium

Development Goals (MDG) on the universal access to primary education by

year 2015 is being hampered not only by government resources but also by the

key demographic and economic features of households. In tracing the impact

of these economic, demographic and other factors on school participation among

children in urban and rural areas, the 2008 household data from Pasay City,

representing urban households, and the 2007 household data from Eastern

Samar, representing rural households, which are available from the Community

Based Monitoring System (CBMS) were utilized. The CBMS database is an

appropriate dataset for this study because it is specifically used for needs identification, design and

monitoring of program interventions at all geopolitical levels, and research. To test the statistical

significance of these variables on school participation rate we have conducted a regression analysis

on the effects of various independent variables including household size, household income, education

of household head, age of household head, employment status of household head, presence of overseas

workers in the household, state of hunger, and various characteristics of household dwellings on

school participation rate. Although there are distinct differences on the results among urban and rural

households, four variables have similar effects on school participation rate on both spatial sets. In

particular, household size and the state of hunger in urban and rural households can have adverse

effects on school participation rate. On the other hand, the presence of electricity in the household

can enhance school participation rate. Interestingly, household income does not have any effect on

school participation rate in both urban and rural households. In terms of policy implications, limiting

family size, reducing the state of hunger and providing access to electricity can have positive impacts

on children’s school participation. On the other hand, because of the differences in the results, local

government units can have differentiated policies. For example, rural areas can benefit from improving

the employment status of household head, education of household head and access to basic services

and the improvement in the household dwellings while these interventions may not have significant

effects on urban households.

Community Monitoring System for the Construction of LocalCommunity Monitoring System for the Construction of LocalCommunity Monitoring System for the Construction of LocalCommunity Monitoring System for the Construction of LocalCommunity Monitoring System for the Construction of Local

Budgets from a Gender Perspective (CBMS-GRB)Budgets from a Gender Perspective (CBMS-GRB)Budgets from a Gender Perspective (CBMS-GRB)Budgets from a Gender Perspective (CBMS-GRB)Budgets from a Gender Perspective (CBMS-GRB)

Ramiro Garcia

The exhibition aims to present the experience and results from the

application of Community Monitoring System for the construction of local

budgets from a gender perspective (CBMS-GRB) Metropolitan Park in the

district of Villa El Salvador in Lima - Peru.

DESCO implemented the Community Monitoring System for the construction of

local budgets from a gender perspective in Metropolitan Park, one of the poorest

areas of the district of Villa El Salvador earlier this year, the implementation of

Community Monitoring System for the construction of budgets local gender

perspective was bound to the validation of the data with the community, program

development and / or development projects aimed at addressing the main

problems identified. As to the interpretation of the database and identifying areas for central analysis.

Therefore, having completed the process of processing, analysis, validation and project formulation

and with the Final Report of Results of Operation-Census GRB CBMS Project will present the experience

developed by the technical team and the results unknown to socialize the findings and evidence that

poverty and exclusion remain in targeted areas that concentrate many social problems.

CBMS

TTTTTereso Tereso Tereso Tereso Tereso Tul lao, Jru l lao, Jru l lao, Jru l lao, Jru l lao, Jr.....

CBMS

Ramiro GarciaRamiro GarciaRamiro GarciaRamiro GarciaRamiro Garcia


Simulating the Growth and Distributive Impacts of PublicSimulating the Growth and Distributive Impacts of PublicSimulating the Growth and Distributive Impacts of PublicSimulating the Growth and Distributive Impacts of PublicSimulating the Growth and Distributive Impacts of Public

Infrastructure Investments in the PhilippinesInfrastructure Investments in the PhilippinesInfrastructure Investments in the PhilippinesInfrastructure Investments in the PhilippinesInfrastructure Investments in the Philippines

Erwin Corong, Lawrence Dacuycuy, Rachel Reyes, Angelo Taningco

This study investigates the role of public infrastructure investment on economic

growth and poverty reduction in the Philippines. Using a dynamic general

equilibrium model that explicitly models public capital as an input into firms’

production structure, we find that the positive supply-side effects of higher

public investment expenditure manifest over time, on the back of higher capital

accumulation effects and improved productivity. Our preliminary results reveal

that higher public infrastructure investment not only brings about positive real

GDP effects but also reduction in poverty and inequality in the short- and long-

run.

Public infrastructure investment and Inclusive Growth in China: APublic infrastructure investment and Inclusive Growth in China: APublic infrastructure investment and Inclusive Growth in China: APublic infrastructure investment and Inclusive Growth in China: APublic infrastructure investment and Inclusive Growth in China: A

Dynamic General Equilibrium AnalysisDynamic General Equilibrium AnalysisDynamic General Equilibrium AnalysisDynamic General Equilibrium AnalysisDynamic General Equilibrium Analysis

Yumei Zhang, Xinxin Wang, and Kevin Chen

In this paper, a combination of macro and micro analysis is used to fully capture

the effects of increasing public infrastructure investment to macroeconomic

and social welfare change. A multi-sector intertemporal CGE model with public

capital is applied to analyze the effects of increase in public infrastructure

investment to the whole economy. The micro analysis is used to simulate the

changes of individual and household behavior for the impacts of increase public

infrastructure, and also the effects to poverty reduction and equality, by using

household survey data. At the macro level, two simulations are conducted—

20% increase of the ratio of public investment in infrastructure to GDP, and

financed by domestic production tax and foreign aid separately. Both scenarios

get similar results, in the long run, the gains from increased public investment is significant, the

productivity improves a lot and the positive effects are very substantially, all sectors and households

will be benefited in the long run. However, there are still some differences between the two different

simulations. The scenario under financed by production tax shows that some negative impacted by the

increase of production tax in the first period, crowds out private investment slightly, and the negative

shocks to constrained households are greater than to non-constrained household. Different sectors

also receive different effects for their specific input factors, the positive shocks to these sectors of

construction and manufacture and processing of metals and metal products, and manufacture of

machinery and equipment are larger than the other sectors. The micro simulation results show that

increased public infrastructure is helpful for poverty reduction, while has modest impact on equality.

But there are some differences for different types of households. For the rural households, poverty

incidence is reduced gradually in both of simulations— public investment financed by tax and foreign

aid, while for the urban and migrant households, the poverty incidence is raised in the first period

under the simulation of financed by production tax, and then decreasing in the following periods. There

are much more obvious effects to poverty reduction under the simulation of financed by foreign aids

than that of the simulation of production tax, and there is no turning point for all type of households,

the poverty incidence is reduced overtime.

MPIA

YYYYYumei Zhangumei Zhangumei Zhangumei Zhangumei Zhang

MPIA

Erwin CorongErwin CorongErwin CorongErwin CorongErwin Corong


Global Economic Crisis and the Philippine Economy: A QuantitativeGlobal Economic Crisis and the Philippine Economy: A QuantitativeGlobal Economic Crisis and the Philippine Economy: A QuantitativeGlobal Economic Crisis and the Philippine Economy: A QuantitativeGlobal Economic Crisis and the Philippine Economy: A Quantitative

AssessmentAssessmentAssessmentAssessmentAssessment

Erwin Corong and Angelo Taningco

This study analyzes how the global crisis may have affected the Philippine economy.

To the extent that the Philippines is more globally integrated through trade and

labor flow channels than the financial sector, it is expected that impact of the

global crisis will weigh heavily on the “real” side of the economy. To assess the

likely impacts, a counterfactual “crisis” simulation analysis is undertaken by

using a dynamic computable general equilibrium (CGE) model linked to a micro-

simulation module in order to trace effects from the macro-economic to the

microeconomic level; from output and factor supplies and demands to commodity

and factor prices; and from household incomes to levels of poverty and income

distribution. Simulation results suggest that all households experience a

significant reduction in real income. Both inequality and poverty increase, with urban dwellers

experiencing a higher increase in poverty relative to their rural counterparts asmost export-oriented

industries are located in the urban areas and returns to factors intensively used by these industries

fall.

Implications of the Global Economic Crisis for the BangladeshImplications of the Global Economic Crisis for the BangladeshImplications of the Global Economic Crisis for the BangladeshImplications of the Global Economic Crisis for the BangladeshImplications of the Global Economic Crisis for the Bangladesh

EconomyEconomyEconomyEconomyEconomy

Selim Raihan

There is no denying the fact that the recent global economic crisis has profound

implications for the developing countries like Bangladesh. This paper has explored

the impacts of global economic crisis on the economy of Bangladesh in a

general equilibrium framework. The CGE model for Bangladesh economy is

developed with a Social Accounting Matrix for the year 2007 as the database.

Analysis of the trend and pattern of the global economic crisis suggests that

global economic crisis led to some negative impacts on the Bangladesh economy

through two major channels: slumps in exports and remittances growths. Two

simulations have been conducted considering export and remittance shocks

respectively. The results of the simulations suggest that during the global

economic crisis the growth in total exports was much lower than those during

pre-crisis periods and the export growth was mainly driven by the growth in non-RMG sectors. Under

the export simulation, the woven and knit RMG sectors would experience contraction and there would

be some expansions of the non-RMG export oriented sectors. Because of the reduced rates of growth

in overall exports as well as much slower growth in knit and woven RMG sectors, there would be some

negative impacts on the economy in terms of falls in GDP, consumption, exports, imports and

households’ consumption and welfare. The poorer households would suffer more as a result of negative

export shock during the global economic crisis. Furthermore, the reduced rate of growth in remittances

during the global economic crisis would contribute to the fall in household income and real consumption.

Demand for goods would decline and, as a result, domestic demand and import would decrease. Due

to the fact that reduction in inflow of remittance would contribute to depreciation of the real exchange

rate, there would be a positive impact on the growth of exports. This remittance shock would contribute

to the fall in GDP at market price. All household categories would encounter fall in real consumption

and welfare. The households with higher initial endowments of remittance incomes would experience

larger fall in real consumption and welfare. The upshots of the above discussion point us to the fact

that the economy of Bangladesh was affected during the global economic crisis, when growth in

exports and remittances slowed down by great margins and the economy suffered.

MPIA

Erwin CorongErwin CorongErwin CorongErwin CorongErwin Corong

MPIA

Sel im RaihanSel im RaihanSel im RaihanSel im RaihanSel im Raihan


Several policy implications may emerge from the aforementioned analysis of the simulation results. It

is evident from the aforementioned analysis that there was a very low growth of exports of woven and

knit RMG from Bangladesh during the economic crisis. This resulted in low growth in total exports.

The effects on GDP and welfare of the households were negative. There is a fear of continuation of

this sluggish growth in exports of woven and knit RMG in the future. Therefore, there is a need for the

policy makers to take necessary steps to enhance exports from these two sectors. These export

oriented sectors suffer from serious supply side bottlenecks, such as lack of backward linkages,

weak physical infrastructure, lack of skilled manpower, lack of access to capital, high lead time, high

cost of doing business, etc. There is a need to bring down these supply side constraints which can

enhance the competitiveness of these sectors. It is also true that the export basket of Bangladesh is

highly concentrated in favor of the woven and knit RMG. There is a need to diversify the export basket

so that the reliance on only a few sectors is reduced and the economy becomes less vulnerable to any

external shock. The simulation results in this paper have convincingly suggested the strong welfare

enhancing effects of remittance in Bangladesh. The growth rate of remittance inflow reduced quite

drastically during the global economic crisis. Also, looking at the trend of annual migration from

Bangladesh it appears that there is a high risk of further reduction in inflow of remittances. Therefore,

there is a need to take necessary measures for encouraging larger inflow of remittances and greater

outward migration. Measures such as reducing the hassles of sending remittances through formal

channels and providing appropriate guidance and support for channeling the remittance money to

productive investment could be very useful. Also, government needs to negotiate both multilaterally

(at WTO) and bilaterally for the enhancement of export of manpower from Bangladesh.

Impact of Public Infrastructure Investment in South Afr ica: AImpact of Public Infrastructure Investment in South Afr ica: AImpact of Public Infrastructure Investment in South Afr ica: AImpact of Public Infrastructure Investment in South Afr ica: AImpact of Public Infrastructure Investment in South Afr ica: A

Dynamic CGE AnalysisDynamic CGE AnalysisDynamic CGE AnalysisDynamic CGE AnalysisDynamic CGE Analysis

Vandudzai Mbanda, Sinqobile Chumi, Patrick Kanda, Margaret R. Mabugu (nee

Chitiga)

There is strong local and international evidence on the links between infrastructure

and growth in general and a link between infrastructure, equity and poverty in

the sub-Saharan Africa context in particular. Both in academic literature and in

the policy debate, adequate supply of infrastructure services is viewed, from as

early as 1989, as a key ingredient for economic development (Calderón and

Servén 2008: 2, Fedderke and Garlick 2008: 1).

Policies like the New Growth Path, the Accelerated and Shared Growth Initiative

for South Africa, Critical Infrastructure Programme, Industrial Development

Zones, preparations for the 2010 FIFA World Cup and Expanded Public Works

Programme were introduced to increase investment in infrastructure in South Africa, among other

things. These policies increased the pace of infrastructure investment in South Africa. Investment in

infrastructure affects productivity, labour demand, economic growth, prices, consumption, employment,

income distribution, poverty and welfare. This study analyses the impact of the massive increase in

public infrastructure investment in South Africa using Computable General Equilibrium (CGE) modelling.

To account for accumulation effects of public infrastructure investment, a sequential dynamic CGE

model is used. Dynamics are crucial because infrastructure is a long term investment. While many

studies on infrastructure investment in South Africa have been done, there are none which use dynamic

CGE modelling to assess the economy-wide impact of infrastructure investment. The objective of this

study is to quantify both the short run and long run impacts of increasing public infrastructure investment

in the country.

MPIA

VVVVVandudzai Mbandaandudzai Mbandaandudzai Mbandaandudzai Mbandaandudzai Mbanda


Can We Learn From Other Countries and Policy Simulations?Can We Learn From Other Countries and Policy Simulations?Can We Learn From Other Countries and Policy Simulations?Can We Learn From Other Countries and Policy Simulations?Can We Learn From Other Countries and Policy Simulations?

Phouphet KYOPHILAVONG, Chanthachone SENESOUPHAP And Somnack

YAWDHACKSA

Theoretically, abundant natural resources could promote growth through more

investment in infrastructure, health care and human capital development.

However, various empirical studies have illustrated that resource-rich countries

fail in accelerating growth compared with resource-poor countries. There are

various factors for low growth in resource-rich countries, but one of the most

important factors is the so-called “Dutch disease”.

Laos is a small, open Least Developed Country (LDC) in Southeast Asia.

Laos was ranked 130th out of 177 countries. 34 percent of the population

lives below the poverty line. However, it is a resource-rich economy with over

570 mineral deposits identified. As a result, since 2003, Laos has experienced

massive foreign capital inflows in terms of Foreign Direct Investment (FDI) in the mining and

hydropower sectors. Resource sectors contributed about 2.5% of GDP during 2000-2007; resource

sector revenues account for 18% of total tax revenue (2007). On the other hand, resource sectors

also have a negative impact on economy through appreciation of the real exchange rate and declining

non-resource sectors.

Despite the significant potential for both positive and negative impacts from resource booms on the

Lao economy, there is a gap in the research on this issue in Laos. Therefore, the main objective of

this study is to quantify the possible impacts of resource booms on nation-wide economy and

poverty using a Computable General Equilibrium (CGE) model. In order to investigate the impact of

mining sector on Lao economy, we assumed that mining productivity increase. The result shows

that real value of GDP, output, export and investment increase. However, their percentage increasing

seems to be small. Increasing productivity of mining sector leads to expand real output, value

added, and consumption of mining, but it also decline real output, value added and consumption of

agriculture, industry, private services and government services. Inclusion, expansion of mining

sector has positive and negative benefit on Lao economy. Mining sector can improve real GDP and

overall output of Laos. But it has adverse affects on Lao economy, it lead to decline in output in

other sectors which shows Dutch disease syndrome. Therefore, it is important to have appropriate

macroeconomic management and prudent management of expenditure windfall from mining is

needed.

MPIA

Phouphet Kyophi lavongPhouphet Kyophi lavongPhouphet Kyophi lavongPhouphet Kyophi lavongPhouphet Kyophi lavong


School Attendance, Child Labor and Cash TSchool Attendance, Child Labor and Cash TSchool Attendance, Child Labor and Cash TSchool Attendance, Child Labor and Cash TSchool Attendance, Child Labor and Cash Transfers: An Impactransfers: An Impactransfers: An Impactransfers: An Impactransfers: An Impact

EvEvEvEvEvaluation of aluation of aluation of aluation of aluation of PPPPPANESANESANESANESANES

Verónica Amarante, Mery Ferrando and Andrea Vigorito

In this paper we analyze the impact on child school attendance and labor of an

emergency plan, PANES which was carried out in Uruguay from April 2005 to

December 2007. We specifically analyze the effect of the cash transfer

component of the plan (Ingreso Ciudadano), and we explore potential explanatory

channels such as labor market outcomes, income and awareness of

conditionalities.

This research is based on a panel of successful and unsuccessful applicants to

PANES. The first wave corresponds to the administrative records of the program

and the second wave is a follow-up survey, gathered two months after the

program ended, specifically designed to carry out the impact evaluation of the

program. In order to check the robustness of our results, we provide evidence based on two different

identification strategies: a regression discontinuity approach, using data from the second wave of the

panel, and a difference in difference approach, exploiting the longitudinal nature of the collected data.

Our results indicate that the program did not have any effect on child school attendance and child

labor, neither for all children nor across specific groups by age or sex. Besides, we do not find an

impact on household income, suggesting that income substitution was not the explanatory channel for

the lack of results in terms of schooling. Hence, either the amount of the transfer was not generous

enough to promote school attendance or the determinants of child school attendance are far more

complex and require complementary interventions. Our results are particularly relevant to understand

the role of cash transfers for middle income countries where attendance rates at primary school

already present high levels, and where the main challenge relates to retaining students at the secondary

level.

Our data also allows for exploring the role of conditionalities. Only a scarce number of households

were aware of the conditionalities on school enrollment (20%). Conditionalities were announced and

are present in other social security programs in Uruguay but were finally not controlled. We did not

find any robust impact of perceived conditionality on children’s school enrollment.

Impact Evaluation of the Brazil ian Pension Program Benefício deImpact Evaluation of the Brazil ian Pension Program Benefício deImpact Evaluation of the Brazil ian Pension Program Benefício deImpact Evaluation of the Brazil ian Pension Program Benefício deImpact Evaluation of the Brazil ian Pension Program Benefício de

Prestação Continuada (BPC) on Family WelfarePrestação Continuada (BPC) on Family WelfarePrestação Continuada (BPC) on Family WelfarePrestação Continuada (BPC) on Family WelfarePrestação Continuada (BPC) on Family Welfare

Ana Lúcia Kassouf, Pedro Rodrigues de Oliveira and Juliana Maria de Aquino

The Benefício de Prestação Continuada (BPC) program is a cash transfer to

poor elders above 65 years-old. This paper evaluates its effects on household

composition and on labor market outcomes of the elders and their co-residing

relatives, including adults and children. We could not capture any sign of changes

in the household composition due to the program. However we found decreases

in the labor force participation of the elders, indicating that the program makes

possible for these poor elders to retire, what would not be possible otherwise.

Also there is a drop in labor force participation of co-residents. However, the

effect is heterogeneous and the effect is concentrated for adults of more than

30 years-old, while there is no effect for young adults. We found no effect for

school attendance of children, but there is a drop in child labor occurrence,

indicating an important social role of the program.

PIERI

VVVVVerónica Amaranteerónica Amaranteerónica Amaranteerónica Amaranteerónica Amarante

PIERI

Ana LAna LAna LAna LAna Lúúúúúcia Kassoufcia Kassoufcia Kassoufcia Kassoufcia Kassouf


The Effects of Priority Forestry Programs on China’The Effects of Priority Forestry Programs on China’The Effects of Priority Forestry Programs on China’The Effects of Priority Forestry Programs on China’The Effects of Priority Forestry Programs on China’s Rurals Rurals Rurals Rurals Rural

Household IncomeHousehold IncomeHousehold IncomeHousehold IncomeHousehold Income

Can Liu, Katrina Mullan, Hao Liu and Wenqing Zhu

The paper use 2070 balanced panel dataset, and cluster-specific fixed effect

model is used. We find the PFPs have mixed effects on China’s rural household

income, and also these impacts of the PFPs on rural household total income,

land-based income and off-farm income have been changing with the year.

EvEvEvEvEvaluation De Laluation De Laluation De Laluation De Laluation De L’impact Des Programmes De Cantines Scolaires’impact Des Programmes De Cantines Scolaires’impact Des Programmes De Cantines Scolaires’impact Des Programmes De Cantines Scolaires’impact Des Programmes De Cantines Scolaires

Sur Les Performances Des Ecoles Primaires Rurales Au SenegalSur Les Performances Des Ecoles Primaires Rurales Au SenegalSur Les Performances Des Ecoles Primaires Rurales Au SenegalSur Les Performances Des Ecoles Primaires Rurales Au SenegalSur Les Performances Des Ecoles Primaires Rurales Au Senegal

Abdoulaye Diagne

Ce papier évalue l’impact des programmes de cantines scolaires sur les

performances des écoles primaires rurales du Sénégal à travers une «

expérimentation randomisée » 120 écoles n’ayant jamais été dotés de cantines

scolaires ont été sélectionnées dans les quatre régions les plus pauvres du

Sénégal. Elles ont été assignées aléatoirement et équitablement (60 chacun)

au groupe de contre et celui de traitement. Les élèves de deuxième et de

quatrième année ont été observés dans chacune des écoles sélectionnées. La

double différence a été utilisée pour évaluer l’impact. Les résultats sont les

suivants : la cantine a eu un impact positif aussi bien sur la note globale des

élèves que sur les notes en français et en mathématiques. L’impact est

légèrement plus élevé en mathématiques qu’en français. La cantine a plus

impacter les notes des filles et celles des plus jeunes (élèves de deuxième année). La présence

d’association des parents, de comité de gestion de l’école et de coopérative scolaire améliore l’impact

de la cantine sur les performances des élèves. Enfin, l’intensité de l’impact varie selon les départements.

Management and Motivation in UgandanManagement and Motivation in UgandanManagement and Motivation in UgandanManagement and Motivation in UgandanManagement and Motivation in Ugandan Primary Schools: Impact Primary Schools: Impact Primary Schools: Impact Primary Schools: Impact Primary Schools: Impact

Evaluation Final ReportEvaluation Final ReportEvaluation Final ReportEvaluation Final ReportEvaluation Final Report

Andrew Zeitlin, Lawrence Bategeka, Madina Guloba, Ibrahim Kasirye and

Frederick Mugisha

We document the results of a randomized, controlled trial that examined policies

to improve functioning of School Management Committees in rural, government

primary schools in Uganda. The trial evaluated the impacts of two variations on

a school monitoring scorecard, each of which was collected on a termly basis

by School Management Committee (SMC) members. These treatments were

designed to provide evidence not only on specific policy options for fostering

‘bottom-up’ accountability (World Bank 2004), but also to illuminate the

importance of a participatory mechanism to achieve these effects.

Schools in the first treatment arm received training and support in a standardized

scorecard, which incorporated best practices for simple indicators of pupil and teacher performance,

teaching materials and facilities, and school governance. Schools in the second treatment arm received

training in a participatory scorecard, which provided a forum for SMC members to develop indicators

of dimensions of school performance that they valued themselves. Training was provided by Centre

Coordinating Tutors, who form part of the government educational staff resident in the study districts,

and was overseen by SNV and World Vision, working together with EPRC and Oxford staff.

PIERI

Can LiuCan LiuCan LiuCan LiuCan Liu

PIERI

Abdoulaye DiagneAbdoulaye DiagneAbdoulaye DiagneAbdoulaye DiagneAbdoulaye Diagne

PIERI

Madina GulobaMadina GulobaMadina GulobaMadina GulobaMadina Guloba


Impacts of these alternative scorecard treatments were estimated using a sample of 100 schools

from districts in each of Uganda’s four regions: Apac, Hoima, Iganga, and Kiboga. To allow estimation

of causal effects of the program, schools were randomly assigned to the standardized scorecard (30

schools), the participatory scorecard (30 schools), or control (40 schools). Randomization was

stratified at sub-county level. The experimental procedure ensures that selective placement does not

bias estimates program impact (see, e.g., Glewwe, Kremer, Moulin and Zitzewitz (2004)). Pupil and

teacher absenteeism were measured at follow-up by use of unannounced visits to schools. Learning

outcomes were measured by testing authorities from the Uganda National Examinations Board, who

administered tests from the National Assessment for Progress in Education to a representative

sample of pupils at baseline and follow-up.

Results show statistically and economically significant effects of the participatory design scorecard,

across a range of outcomes. The participatory design scorecard reduced pupil and teacher absenteeism

by and 8.9 and 13.2 percent, respectively. The participatory scorecard had a commensurate impact

on pupil test scores of approximately 0.19 standard deviations; such an impact would increase a

pupil from the 50th percentile to the 58th percentile of the distribution. Impacts of the standardized

scorecard on these outcome measures are smaller and statistically indistinguishable from zero.

Neither scorecard has a statistically significant impact on dropout rates or firing of teachers.

These results suggest that the participatory design component of community-monitoring interventions

may be important to their success. Delegation of this process appears to have fostered a stronger

sense of ownership among school stakeholders. Given its low costs, such a participatory approach to

community-based monitoring is a promising policy intervention for improving quality in UPE schools.

The Impacts of “Land of Love, Water Cellar for Mothers”The Impacts of “Land of Love, Water Cellar for Mothers”The Impacts of “Land of Love, Water Cellar for Mothers”The Impacts of “Land of Love, Water Cellar for Mothers”The Impacts of “Land of Love, Water Cellar for Mothers”

Liguo LIN

In this study, we want to estimate the impacts of the “Land of Love, Water

Cellar for Mothers” project that is launched to address the water scarcity in

western China. In these areas, male labourers flock to cities as a result of

China’s social transformation, leaving women there as the main workforce in

the poverty- and drought-stricken countryside. We conducted two waves of

survey, one was done before the installation of water cellar and the other was

done after. In this paper, we first present how the effect of water cellar project

to be transmitted in theory and then we empirically estimate the impact of

water cellar. We show that water cellar project increase household incomes by

4.6%.

The Impact of TThe Impact of TThe Impact of TThe Impact of TThe Impact of Tuit ion Relief Program in Senior High School onuit ion Relief Program in Senior High School onuit ion Relief Program in Senior High School onuit ion Relief Program in Senior High School onuit ion Relief Program in Senior High School on

Poor Junior High Students in Rural ChinaPoor Junior High Students in Rural ChinaPoor Junior High Students in Rural ChinaPoor Junior High Students in Rural ChinaPoor Junior High Students in Rural China

Xinxin Chen, Shaoqing Zheng, Chunlei Lang, Pingping Gu and Lijuan Guo

More and more rural kids in China have received junior high education since it

became free in 2006. However, there remains a huge gap in the rate of

admission to senior high school when comparing urban and rural students.

One reason for this gap may be the high levels of tuition and fees for senior

high school. In this report, we evaluated the impact of the tuition relief program

proposed in Ningshan (the treatment county), one poor county in Shaanxi province

in China for poor rural students using different estimation strategies, such as

Difference-in-Differences (DD), Difference-in-Difference-in-Differences (DDD),

Propensity Score Matching (Matching) and DD Matching. With the data collected

in Ningshan and two control counties, Shiquan and Hanyin, we find that this

program improves the math score/effort of the students significantly. More importantly, this program

is shown to have a statistically significant and positive effect on the math scores of the poorest

students in the treatment group compared to their wealthier peers.

PIERI

Liguo LinLiguo LinLiguo LinLiguo LinLiguo Lin

PIERI

Xinxin ChenXinxin ChenXinxin ChenXinxin ChenXinxin Chen


Wage Inequality of Chinese Rural -Urban Migrants from 2002 toWage Inequality of Chinese Rural -Urban Migrants from 2002 toWage Inequality of Chinese Rural -Urban Migrants from 2002 toWage Inequality of Chinese Rural -Urban Migrants from 2002 toWage Inequality of Chinese Rural -Urban Migrants from 2002 to

20072007200720072007

Zhaopeng Qu and Zhong Zhao

The paper studies wage inequality among Chinese rural-urban migrants and its

change from 2002 to 2007. We use the Chinese Household Income Project

dataset and the Rural to Urban Migration in China dataset to construct a

unique data set which allows us to document basic facts about the wage

structure of migrants and urban natives in 2002 and 2007. Our focus is the

change of wage inequality of migrants over time. We find that wage inequality

among migrants has decreased significantly; at the mean time, we observe an

increase of wage inequality among urban natives from 2002 to 2007. Using

distributional decomposition methods we find that overall between-group effect

dominates, but on the upper tails of the wage distribution, the within group

effect dominates.

Are there Ethnic Inequality TAre there Ethnic Inequality TAre there Ethnic Inequality TAre there Ethnic Inequality TAre there Ethnic Inequality Traps in Education? Empiricalraps in Education? Empiricalraps in Education? Empiricalraps in Education? Empiricalraps in Education? Empirical

Evidence for Brazil and ChileEvidence for Brazil and ChileEvidence for Brazil and ChileEvidence for Brazil and ChileEvidence for Brazil and Chile

Guillermo Cruces, Marcelo Bérgolo, Adriana Conconi and Andrés Ham

This study searches for suggestive evidence of an ethnic inequality trap in

educational attainment in Brazil and Chile. The research aims to cover an

existing gap in the literature on inequality traps and proposes an empirical

approach to assess certain conditions which might imply its existence. The

main results indicate that while average education and upward mobility have

risen in both countries, ethnic disparities remain significant. In particular, the

evidence is suggestive of an educational inequality trap for Afro-Brazilians,

while the findings are less conclusive of a trap for indigenous individuals in

Chile. These results reflect the need for targeted education policies for ethnic

groups in two ways: compensation (or affirmative action) mechanisms to lower

current inequality, and increasing demand and supply at higher educational levels to prevent the

persistence of low level outcomes and disparities throughout the educational distribution.

Is the VIs the VIs the VIs the VIs the Value of Humanity Increasing? A Critical-Level Enquiryalue of Humanity Increasing? A Critical-Level Enquiryalue of Humanity Increasing? A Critical-Level Enquiryalue of Humanity Increasing? A Critical-Level Enquiryalue of Humanity Increasing? A Critical-Level Enquiry

John Cockburn, Jean-Yves Duclos and Agnès Zabsonré

We assess whether the value of humanity (or global social welfare) has improved

in the last decades despite (or because of) the substantial increase in global

population sizes. We use for this purpose a relatively unknown but simple and

attractive social evaluation approach based on critical-level generalized

utilitarianism (CLGU). CLGU posits that social welfare increases with population

size if and only the new lives come with a utility level higher than that of a

critical level. Despite its attractiveness, CLGUposes a number of practical

difficulties that may explain why the literature has left it largely unexplored.

The most important of these difficulties deal with the choice of an individual

welfare aggregation function and with the value of the critical level. We address

these difficulties by developing new procedures for making partial social

orderings over classes of CLGU evaluation functions. These orderings are designed to be robust to

choices of individual welfare aggregation functions (within certain classes of such functions) and to

ranges of the critical level. The headline result is that we can robustly conclude that world welfare

has increased between 1990 and 2005 if we judge that lives with per capita yearly consumption of

more than $1,288 necessarily increase the value of humanity; the same conclusion applies to Sub-

Saharan Africa if and only if we are willing to make that same judgement for lives with any level of per

capita yearly consumption above $230. Otherwise, some of the admissible Paretian CLGU functions

will judge the last two decades’ increase in global population size to have lowered the value of

humanity.

PMMA

Zhong ZhaoZhong ZhaoZhong ZhaoZhong ZhaoZhong Zhao

PMMA

Jean-Yves DuclosJean-Yves DuclosJean-Yves DuclosJean-Yves DuclosJean-Yves Duclos

PMMA

Guillermo CrucesGuillermo CrucesGuillermo CrucesGuillermo CrucesGuillermo Cruces


Established in 1999, the De La Salle University-Angelo King InstituteDe La Salle University-Angelo King InstituteDe La Salle University-Angelo King InstituteDe La Salle University-Angelo King InstituteDe La Salle University-Angelo King Institutefor Economic and Business Studies (DLSU-AKI)for Economic and Business Studies (DLSU-AKI)for Economic and Business Studies (DLSU-AKI)for Economic and Business Studies (DLSU-AKI)for Economic and Business Studies (DLSU-AKI) envisions itself to be aninnnovative and leading center for integrating economic and business studiesleading to policy recommendations for the government and business community.

The Consortium for Economic and Social Research (CRES)Consortium for Economic and Social Research (CRES)Consortium for Economic and Social Research (CRES)Consortium for Economic and Social Research (CRES)Consortium for Economic and Social Research (CRES) is anassociation of researchers in the areas of economics, management, law andsociology in Senegal.

The Group for the Analysis of Development (GRADE)Group for the Analysis of Development (GRADE)Group for the Analysis of Development (GRADE)Group for the Analysis of Development (GRADE)Group for the Analysis of Development (GRADE) is a private non-profit research center based in Peru, whose aim is to conduct applied researchto stimulate and enrich the debate, design, and implementation of publicpolicies.

Universite LavalUniversite LavalUniversite LavalUniversite LavalUniversite Laval is the oldest center of education in Canada, and was thefirst institution in North America to offer higher education in French. Its maincampus is located in Quebec City, Quebec, the capital of the Province, on theoutskirts of the historic city.

Main PartnersMain PartnersMain PartnersMain PartnersMain Partners


DonorsDonorsDonorsDonorsDonors

The International Development Research Centre (IDRC) International Development Research Centre (IDRC) International Development Research Centre (IDRC) International Development Research Centre (IDRC) International Development Research Centre (IDRC) is a Crowncorporation created by the Parliament of Canada in 1970. Its mandate is setout in the IDRC Act (1970) which directs the Centre to “initiate, encourage,support and conduct research into the problems of the developing regions ofthe world and into the means for applying and adapting scientific, technical andother knowledge to the economic and social advancement of those regions.”

The Canadian International Development Agency (CIDA)Canadian International Development Agency (CIDA)Canadian International Development Agency (CIDA)Canadian International Development Agency (CIDA)Canadian International Development Agency (CIDA) is Canada’slead agency for development assistance. CIDA’s aim is to: (i) manage Canada’ssupport and resources effectively and accountably to achieve meaningful,sustainable results, and (ii) engage in policy development in Canada andinternationally, enabling Canada’s effort to realize its development objectives.

The Australian Agency for International Development (AusAID)Australian Agency for International Development (AusAID)Australian Agency for International Development (AusAID)Australian Agency for International Development (AusAID)Australian Agency for International Development (AusAID) is theAustralian Government agency responsible for managing Australia’s overseasaid program. AusAID is an Executive Agency within the Foreign Affairs andTrade portfolio and reports to the Minister for Foreign Affairs. The fundamentalpurpose of the aid is to help people overcome poverty. This also servesAustralia’s national interest by promoting stability and prosperity both in ourregion and beyond.


The Un i ted Nat ions Deve lopment Programme (UNDP) Ph i l i pp ines Coun t ryUn i ted Nat ions Deve lopment Programme (UNDP) Ph i l i pp ines Coun t ryUn i ted Nat ions Deve lopment Programme (UNDP) Ph i l i pp ines Coun t ryUn i ted Nat ions Deve lopment Programme (UNDP) Ph i l i pp ines Coun t ryUn i ted Nat ions Deve lopment Programme (UNDP) Ph i l i pp ines Coun t ryOfficeOfficeOfficeOfficeOffice fosters human development for peace and prosperity. Working with central andlocal Governments as well as civil society, and building on global best practices, UNDPstrengthens capacities of women, men and institutions to empower them to achieve theMillennium Development Goals and the objectives of the Philippine Mid-term DevelopmentPlan.The National Economic and Development Authori ty (NEDA)National Economic and Development Authori ty (NEDA)National Economic and Development Authori ty (NEDA)National Economic and Development Authori ty (NEDA)National Economic and Development Authori ty (NEDA) is the Phil ippines’social and economic development planning and policy coordinating body. It is headed bythe President as chairman of the NEDA board, with the Secretary of Socio-EconomicPlanning, concurrently NEDA Director-General, as vice-chairman. Several Cabinet members,the Central Bank Governor, ARMM and ULAP are likewise members of the NEDA Board.

The International Food Policy Research Institute (IFPRI)International Food Policy Research Institute (IFPRI)International Food Policy Research Institute (IFPRI)International Food Policy Research Institute (IFPRI)International Food Policy Research Institute (IFPRI) seeks sustainable solutionsfor ending hunger and poverty. IFPRI is one of 15 centers supported by the ConsultativeGroup on International Agricultural Research (CGIAR), an alliance of 64 governments,private foundations, and international and regional organizations.The United Nations Children’s Fund (UNICEF)United Nations Children’s Fund (UNICEF)United Nations Children’s Fund (UNICEF)United Nations Children’s Fund (UNICEF)United Nations Children’s Fund (UNICEF) was established on 11 December1946 by the United Nations to meet the emergency needs of children in post-war Europeand China. Its full name was the United Nations International Children’s Emergency Fund.In 1950, its mandate was broadened to address the long-term needs of children andwomen in developing countries everywhere. UNICEF became a permanent part of theUnited Nations system in 1953, when its name was shortened to the United NationsChildren’s Fund. However, UNICEF retained its original acronym.

Celia M. Reyes & John M. Cockburn PEP Co-Directors

Aissatou Diop Administrator, PEP Africa

Awa Diop Administrator, PEP Africa

Anne Bernadette E. Mandap Research & Administration Officer, PEP Asia

Jasminda Asirot-Quilitis Senior Database Management Specialist, PEP Asia

Marsmath A. Baris, Jr. Research Associate, PEP Asia

Novee Lor C. Leyso Research Assistant, PEP Asia

PEP Asia & CBMS Network OfficeAngelo King Institute for Economic and Business Studies

De La Salle University-Manila

10th Floor, Angelo King International Center, Estrada corner Arellano Ave., Malate, Manila

Philippines

E-mail: [email protected]; [email protected]

Web-site: www.pep-net.org

Tel/Fax: (632) 5262067; 5238888 local 274

Conference Secretariat

Cover Design by Ariel Manuel • Layout by Marsmath A. Baris, Jr.

The goal of the Economy and Environment Program for Southeast Asia (EEPSEA)Economy and Environment Program for Southeast Asia (EEPSEA)Economy and Environment Program for Southeast Asia (EEPSEA)Economy and Environment Program for Southeast Asia (EEPSEA)Economy and Environment Program for Southeast Asia (EEPSEA)is to strengthen local capacity for the economic analysis of environmental problems sothat researchers can provide sound advice to policymakers. The program uses a network-ing approach to provide not only financial support but meetings, resource persons,access to literature, publication outlets, and opportunities for comparative researchacross its nine member countries. These are Thailand, Malaysia, Indonesia, the Philip-pines, Vietnam, Cambodia, Lao PDR, China and Papua New Guinea.

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