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Effects of a Participatory Forest Management Project by JICA in Ethiopia on Deforestation Yasuyuki Todo Department of International Studies University of Tokyo (Based on joint works with Ryo Takahashi) January 9, 2013 International Workshop on International Cooperation on Natural Resources and ConflictsDepartment of International Studies, University of Tokyo

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Page 1: Effects of a Participatory Forest Management Project by ...inter.k.u-tokyo.ac.jp/wp-web/wp-content/uploads/2013/01/todo_2013… · Effects of a Participatory Forest Management Project

Effects of a Participatory Forest Management Project by JICA in Ethiopia

on Deforestation

Yasuyuki Todo

Department of International Studies

University of Tokyo

(Based on joint works with Ryo Takahashi)

January 9, 2013

International Workshop on

“International Cooperation on Natural Resources and Conflicts”

Department of International Studies, University of Tokyo

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Share of forests in total land in Ethiopia 35% in early 20th century → 16% in 1950 → 13% in 2005

Reasons

• Expansion of farmland

• Logging 2

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Project areas

Gera Belete

3

Project Area: Belete-Gera Regional Forest Priority Area

Ethiopia

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Forests (green areas)

40% of forests have been lost since 1985.

Deforestation in Project Areas: Constructed from Remote Sensing Data

1985 2009

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Project Outline

Technology

transfer

Forest Protection

Participatory forest association

Forest coffee certification

Farmer field school

Income generation

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Participatory Forest Management Associations

• Established at the sub-village level

• Identify border of forest

• Prohibit logging in forests

• Monitor illegal logging

• Plant trees in boundary areas and wastelands

No. No. of WaBuB established

Village Sub-

village 2006-2008

2008-2009

2009-2010

Total 43 126 35 58 32 6

Marking boundaries

Monitoring

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Forest Coffee Certification • Coffee naturally grows in some forests.

• Certified by Rainforest Alliance (US-based NGO)

↑ price by 15-20%

• Farmers have incentive to protect forests.

7

No. of certified 2007-2008 2008-2009 2009-2010

WaBuBs 4 21 48

Farmers 550 1,700 2,808

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• Established together with establishment of WaBuB

• 1 meeting a week for 1 year

• Technology transfer through lectures & experiments

Farmer Field School

8

2007-2008 2008-2009

2009-2010

No. of schools 53 134 82

No. of graduates 1328 3235 NA

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3 Sets of Impact Evaluation

Forest Protection

Participatory forest association

Forest coffee certification

Farmer field school

Income generation

3

2 1

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Effect of the program?

Effect of the program + time trend

The whole economy may have improved

income

Why Is Program Evaluation Difficult?

Outcome (e.g. income)

Time Program

Average of participants

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Effect of the program?

Effect of the program +

difference in potential

growth b/w the 2 groups

Why Is Program Evaluation Difficult?

Outcome (e.g. income)

Time Program

Average of participants

Average of non-participants

If only potentially good

guys can participate in

the program …

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Why Is Program Evaluation Difficult?

Outcome (e.g. income)

Time Program

Average of participants

Average of non-participants with potentials similar

to participants

Effect of the program

Can be selected by randomized control trials

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Systematic difference due to arbitrary selection

Propensity Score Matching (PSM)

Participants Non-participants

Non-participants with similar pre-program

characteristics

Difference in outcomes b/w 2 groups = effect of project

Matching

13

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• Data from Satellite (Landsat 7) during 1985-2010

– Identify forests using Normalized Difference Vegetation Index (NDVI) and ground truthing

– Examine effects of forest associations and forest coffee certifications on forest protection

• Household-level data from 298 HHs in 2008 (pre-program) & 2010 (post)

–Collected by JICA

– Examine effects of farmer field schools on income

14

2 Data Sources

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Treatment Forest

association Forest coffee certification

Farmer field school

Control

Non-participants

who later participate

Non-coffee areas within

forest associations

Non-participants

who later participate

Data unit Sub-village Grid (900m2) Household

Estimation 2SLS PSM PSM

IV/ covariates

for matching

Geographic and ecological

variables

Geographic and ecological

variables

Pre-program HH

characteristics

Outcome Change rate of

forest areas Probability of deforestation

Income per worker/year

Methods of Impact Evaluation

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Treatment Forest

association Forest coffee certification

Farmer field school

Outcome Change rate of forest

areas Probability of deforestation

Income per worker/year

Effect

Yr of establishment: -12.2%pt,

Next yr: +17.4%pt +5.2%pt in 2 yrs

-1.7%pt in 2 yrs

+US$ 60-160

Note Average ∆ rate w/o association: -3.3%

Average probability

without coffee: 4.5%

Average income before

project: $60

Reference Takahashi et al. (2012a) Takahashi et al.

(2012b) Todo et al. (2012)

Main Results

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Summary of the Results from Ethiopia

17

Large positive effect on forest protection

– Directly through forest associations and forest coffee certification

– Indirectly through income generation due to farmer field schools

Lesson learnt Effect of forest associations on forest areas in the year of establishment: - (though + in 2 years) ”Last-minute logging”

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Impact Evaluation of JICA’s Projects: Overview • JICA’s project evaluation is almost always based on

less rigorous, qualitative methods.

• Only a few rigorous “impact evaluations” were/are officially conducted by JICA

– Third Elementary Education Project in the Philippines

• Propensity score matching

• Yamauchi et al. (2011), Yamauchi et al. (2012)

– “Support to the Improvement of School Management through Community Participation” in Burkina Faso

• Randomized control trials

• Sawada et al. (2012)

– Some more ongoing ones 18

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Impact Evaluation of JICA’s Projects: Overview

• Some “semi-official” impact evaluations were done in and outside JICA (mostly in JICA RI) – Irrigation project in Sri Lanka

• Natural experiments & PSM

• Sawada et al. (2010)

– Some were done by Todo

• Participatory forest management in Ethiopia (funded by JICA RI)

• Tech assistance in the foundry industry in Indonesia (funded by Research Institute of Economy, Trade and Industry, a public institution related to the Ministry of Economy, Trade and Industry)

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Results from current (less rigorous, qualitative) evaluations look very good.

20

0

10

20

30

40

50

60

A B C D

Results of ex-post evaluation of 93 projects conducted in 2010 (A [very good]-D [poor])

JICA (2011)

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Consequence of Few Impact Evaluations?

21

20

30

40

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

2010

2011

% of “aid is ineffective” among “aid should be shrank/stopped”

Cabinet Office (2011), Opinion Survey on Diplomacy

Ministry of Foreign Affairs (2009), Opinion Survey on ODA • “What should be done regarding ODA?”

47%: “Clearer information should be provided.” • “What should be on the web site of MOFA?”

36%: “Outcomes of ODA”

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Toward Better International Cooperation on Natural Resource Management

22

Implications from our study

Foreign aid projects natural resource management in

LDCs

But, we need to expand impact evaluation • To convince beneficiaries in LDCs and

tax payers in donor countries • To improve future projects

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References

Cabinet Office of Japan (2011), Gaiko ni Kansuru Yoron Chosa (Opinion Survey on Diplomacy), http://www8.cao.go.jp/survey/h23/h23-gaiko/index.html.

JICA (2011), Annual Evaluation Report 2011, http://www.jica.go.jp/english/our_work/evaluation/reports/2011/index.html.

Ministry of Foreign Affairs (2009), ODA ni Kansuru Ishiki Chosa (Opinion Survey on ODA), http://www.mofa.go.jp/mofaj/press/pr/chosa/yoron/chosa_oda.html.

Sawada, Yasuyuki, and Takaharu Ishii (2012), “Do Community-Managed Schools Facilitate Social Capital Accumulation? Evidence from the COGES Project in Burkina Faso,” JICA-RI Working Paper, No. 42, JICA Research Institute.

Sawada, Yasuyuki, Masahiro Shoji, Shinya Sugawara, and Naoko Shinkai (2010), “The Role of Infrastructure in Mitigating Poverty Dynamics―A Case Study of an Irrigation Project in Sri Lanka,” JICA-RI Working Paper No. 4.

Todo, Yasuyuki (2011), "Impacts of Aid-Funded Technical Assistance Programs: Firm-Level Evidence from the Indonesian Foundry Industry," World Development, 39(3), pp. 351-362.

Todo, Yasuyuki and Ryo Takahashi, (2012) "Impact of Farmer Field Schools on Agricultural Income and Skills: Evidence from an Aid-Funded Project in Rural Ethiopia," forthcoming in Journal of International Development, DOI: 10.1002/jid.1819 (JICA-Research Institute Working Paper, No. 30).

Takahashi, Ryo and Yasuyuki Todo (2012) "Impact of Community-Based Forest Management on Forest Protection: Evidence from an Aid-Funded Project in Rural Ethiopia," Environmental Management, 50(3), pp. 396-404 (JICA-Research Institute Working Paper, No. 31).

Takahashi, Ryo and Yasuyuki Todo (2013) “Impact of a Shade Coffee Certification Program on Forest Conservation: A Case study from a Wild Coffee Forest in Ethiopia,” resubmitted to JICA Research Institute Working Paper.

Yamauchi, Futoshi, and Yanyan Liu (2011), “Impact of an Early Education Intervention on Students’ Learning Achievement,” IFPRI Discussion Paper, No. 01121, International Food Policy Research Institute.

Yamauchi, Futoshi, and Marites Tiongco (2012), “Why Women Are Progressive in Education?: Gender Disparities in Human Capital, Labor Markets, and family Arrangement in the Philippines,” IFPRI Discussion Paper, No. 01155, International Food Policy Research Institute. 23