Understanding Long-Term Impacts in the Forest Sector : Predictive Proxy Indicators
The international development community is increasingly demanding better evidence on the effectiveness of policies and programs across different sectors. The forest sector is no exception. Governments and donor agencies explicitly seek to link inve...
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Format: | Working Paper |
Language: | English en_US |
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World Bank, Washington, DC
2016
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Online Access: | http://documents.worldbank.org/curated/en/2015/12/25668987/understanding-long-term-impacts-forest-sector-predictive-proxy-indicators http://hdl.handle.net/10986/23592 |
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Digital Repository |
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Foreign Institution |
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World Bank Open Knowledge Repository |
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World Bank |
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English en_US |
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WATER QUALITY FOREST DEGRADATION FOREST EXTENSION CONSERVATION AREAS CONSERVATION EASEMENTS PALEOCLIMATOLOGY TEMPERATURE CARBON DIOXIDE CALCULATION FOREST MANAGEMENT FOREST BIODIVERSITY FOREST PEOPLE FORESTRY SECTOR INCOME EVALUATION METHODS CARBON FOREST CONSERVATION OUTPUT INDICATORS DEFORESTATION RATES PROGRAMS GOOD GOVERNANCE MONITORING EMISSIONS IMPACT ASSESSMENT FOREST PLANTATIONS FOREST AREAS INCENTIVES EMISSION REDUCTION CARBON DIOXIDE EMISSIONS IMPACTS FIRE MANAGEMENT INTERNATIONAL FORESTRY RESEARCH PROJECTS SUSTAINABLE DEVELOPMENT QUALITY FOREST LAW POVERTY REDUCTION FOREST RESEARCH RENEWABLE ENERGY SOURCES FOREST FIRE CONTROL CO2 FOREST PRODUCTS FOREST SECTOR PERFORMANCE INDICATORS ENERGY SOURCES FOREST POLICY FOREST PRODUCTIVITY INTERVENTION CAPACITY FOREST ECOLOGY IMPACT EVALUATION PROJECT EVALUATION LAND DEGRADATION ENVIRONMENTAL INDICATORS FORESTRY TROPICAL FORESTS INDICATORS RESEARCH IMPLEMENTATION COMPLETION REPORT FOREST RESOURCES FOREST LOSS FORESTRY ACTIVITIES CARBON MANAGEMENT LAND USE EMISSIONS REDUCTIONS SUSTAINABLE FOREST MANAGEMENT EMISSION BIODIVERSITY PROTECTION ECOSYSTEM FORESTRY OPERATIONS LEAD PROJECT IMPACTS OUTCOME INDICATORS CLIMATE CHANGE CARBON STORAGE FOREST COVER PARTICIPATION FOREST COVERAGE ENVIRONMENTAL IMPACTS CLIMATE DEFORESTATION PROJECT MONITORING FORESTS FOREST CONCESSIONS DISTILLATION BUFFER ZONES FOREST INVESTMENT TROPICAL DEFORESTATION CLIMATE CHANGE MITIGATION FOREST FOREST USE NATURAL FOREST MANAGEMENT FOREST OWNERS FORESTRY PROJECTS DEFORESTATION RATE FOREST FIRE SUSTAINABLE FOREST FOREST PROJECTS GLOBAL CLIMATE CHANGE REGRESSION ANALYSIS ENERGY EFFICIENCY FOREST LAND ICR FOREST PROJECT FOREST COMMUNITY CARBON STOCK EMISSIONS FROM DEFORESTATION EVALUATION FOREST PROTECTION POVERTY CARBON STOCKS FOREST PLANTATION LESS FOREST FIRES FOREST OWNERSHIP PROXY INDICTORS SILVER LIVELIHOODS GLOBAL ENVIRONMENT FACILITY NATURAL FORESTS FOREST STRATEGY RENEWABLE ENERGY FOREST AREA OUTCOMES BIODIVERSITY CONSERVATION FOREST GOVERNANCE GLOBAL FOREST AFFORESTATION DEGRADED AREAS PRICES NEGATIVE IMPACTS BENEFITS FOREST PRODUCTION ENERGY FOREST COMMUNITIES |
spellingShingle |
WATER QUALITY FOREST DEGRADATION FOREST EXTENSION CONSERVATION AREAS CONSERVATION EASEMENTS PALEOCLIMATOLOGY TEMPERATURE CARBON DIOXIDE CALCULATION FOREST MANAGEMENT FOREST BIODIVERSITY FOREST PEOPLE FORESTRY SECTOR INCOME EVALUATION METHODS CARBON FOREST CONSERVATION OUTPUT INDICATORS DEFORESTATION RATES PROGRAMS GOOD GOVERNANCE MONITORING EMISSIONS IMPACT ASSESSMENT FOREST PLANTATIONS FOREST AREAS INCENTIVES EMISSION REDUCTION CARBON DIOXIDE EMISSIONS IMPACTS FIRE MANAGEMENT INTERNATIONAL FORESTRY RESEARCH PROJECTS SUSTAINABLE DEVELOPMENT QUALITY FOREST LAW POVERTY REDUCTION FOREST RESEARCH RENEWABLE ENERGY SOURCES FOREST FIRE CONTROL CO2 FOREST PRODUCTS FOREST SECTOR PERFORMANCE INDICATORS ENERGY SOURCES FOREST POLICY FOREST PRODUCTIVITY INTERVENTION CAPACITY FOREST ECOLOGY IMPACT EVALUATION PROJECT EVALUATION LAND DEGRADATION ENVIRONMENTAL INDICATORS FORESTRY TROPICAL FORESTS INDICATORS RESEARCH IMPLEMENTATION COMPLETION REPORT FOREST RESOURCES FOREST LOSS FORESTRY ACTIVITIES CARBON MANAGEMENT LAND USE EMISSIONS REDUCTIONS SUSTAINABLE FOREST MANAGEMENT EMISSION BIODIVERSITY PROTECTION ECOSYSTEM FORESTRY OPERATIONS LEAD PROJECT IMPACTS OUTCOME INDICATORS CLIMATE CHANGE CARBON STORAGE FOREST COVER PARTICIPATION FOREST COVERAGE ENVIRONMENTAL IMPACTS CLIMATE DEFORESTATION PROJECT MONITORING FORESTS FOREST CONCESSIONS DISTILLATION BUFFER ZONES FOREST INVESTMENT TROPICAL DEFORESTATION CLIMATE CHANGE MITIGATION FOREST FOREST USE NATURAL FOREST MANAGEMENT FOREST OWNERS FORESTRY PROJECTS DEFORESTATION RATE FOREST FIRE SUSTAINABLE FOREST FOREST PROJECTS GLOBAL CLIMATE CHANGE REGRESSION ANALYSIS ENERGY EFFICIENCY FOREST LAND ICR FOREST PROJECT FOREST COMMUNITY CARBON STOCK EMISSIONS FROM DEFORESTATION EVALUATION FOREST PROTECTION POVERTY CARBON STOCKS FOREST PLANTATION LESS FOREST FIRES FOREST OWNERSHIP PROXY INDICTORS SILVER LIVELIHOODS GLOBAL ENVIRONMENT FACILITY NATURAL FORESTS FOREST STRATEGY RENEWABLE ENERGY FOREST AREA OUTCOMES BIODIVERSITY CONSERVATION FOREST GOVERNANCE GLOBAL FOREST AFFORESTATION DEGRADED AREAS PRICES NEGATIVE IMPACTS BENEFITS FOREST PRODUCTION ENERGY FOREST COMMUNITIES Miller, Daniel C. Benson Wahlén, Catherine Understanding Long-Term Impacts in the Forest Sector : Predictive Proxy Indicators |
description |
The international development community
is increasingly demanding better evidence on the
effectiveness of policies and programs across different
sectors. The forest sector is no exception. Governments and
donor agencies explicitly seek to link investment to proven
impact. Yet the evidence base necessary to inform
interventions in the forest sector that can successfully
enhance the livelihoods of the forest-dependent poor, foster
economic growth, reduce emissions from deforestation and
degradation, and conserve forest biodiversity remains weak.
There is a particular need to identify robust indicators to
track and assess the impacts of forest-related investments.
The Independent Evaluation Group (IEG) 2013 review of the
Forests Strategy of the World Bank, the largest multilateral
funding source in the sector, and the subsequent Committee
on Development Effectiveness (CODE) report highlighted this
need. The IEG recommended the development of outcome
indicators on sustainable forest management to track
progress across the World Bank’s Forests Strategy. The 2013
CODE report highlighted the imperative to develop short-term
proxy indicators for long-term impacts in the forest sector.
To date, however, there is little systematic knowledge on
the availability of such predictive proxies in the sector,
what form they should take, and the conditions under which
they are effective. This PROFOR-financed study responds to
this gap in knowledge and to broader demand from donors,
government agencies, and implementing organizations to
develop robust, yet practical means to better understand the
impacts of forest sector investments. It focuses in
particular on potential predictive proxies for longer-term
term outcomes and suggests that such indicators do in fact
exist. The report identifies a set of theory-based
predictive proxy indicators (PPIs) relevant to one or more
overarching development objectives: poverty reduction and
economic growth, biodiversity conservation, climate change
mitigation and adaption, and good governance. |
format |
Working Paper |
author |
Miller, Daniel C. Benson Wahlén, Catherine |
author_facet |
Miller, Daniel C. Benson Wahlén, Catherine |
author_sort |
Miller, Daniel C. |
title |
Understanding Long-Term Impacts in the Forest Sector : Predictive Proxy Indicators |
title_short |
Understanding Long-Term Impacts in the Forest Sector : Predictive Proxy Indicators |
title_full |
Understanding Long-Term Impacts in the Forest Sector : Predictive Proxy Indicators |
title_fullStr |
Understanding Long-Term Impacts in the Forest Sector : Predictive Proxy Indicators |
title_full_unstemmed |
Understanding Long-Term Impacts in the Forest Sector : Predictive Proxy Indicators |
title_sort |
understanding long-term impacts in the forest sector : predictive proxy indicators |
publisher |
World Bank, Washington, DC |
publishDate |
2016 |
url |
http://documents.worldbank.org/curated/en/2015/12/25668987/understanding-long-term-impacts-forest-sector-predictive-proxy-indicators http://hdl.handle.net/10986/23592 |
_version_ |
1764454196176748544 |
spelling |
okr-10986-235922021-04-23T14:04:15Z Understanding Long-Term Impacts in the Forest Sector : Predictive Proxy Indicators Miller, Daniel C. Benson Wahlén, Catherine WATER QUALITY FOREST DEGRADATION FOREST EXTENSION CONSERVATION AREAS CONSERVATION EASEMENTS PALEOCLIMATOLOGY TEMPERATURE CARBON DIOXIDE CALCULATION FOREST MANAGEMENT FOREST BIODIVERSITY FOREST PEOPLE FORESTRY SECTOR INCOME EVALUATION METHODS CARBON FOREST CONSERVATION OUTPUT INDICATORS DEFORESTATION RATES PROGRAMS GOOD GOVERNANCE MONITORING EMISSIONS IMPACT ASSESSMENT FOREST PLANTATIONS FOREST AREAS INCENTIVES EMISSION REDUCTION CARBON DIOXIDE EMISSIONS IMPACTS FIRE MANAGEMENT INTERNATIONAL FORESTRY RESEARCH PROJECTS SUSTAINABLE DEVELOPMENT QUALITY FOREST LAW POVERTY REDUCTION FOREST RESEARCH RENEWABLE ENERGY SOURCES FOREST FIRE CONTROL CO2 FOREST PRODUCTS FOREST SECTOR PERFORMANCE INDICATORS ENERGY SOURCES FOREST POLICY FOREST PRODUCTIVITY INTERVENTION CAPACITY FOREST ECOLOGY IMPACT EVALUATION PROJECT EVALUATION LAND DEGRADATION ENVIRONMENTAL INDICATORS FORESTRY TROPICAL FORESTS INDICATORS RESEARCH IMPLEMENTATION COMPLETION REPORT FOREST RESOURCES FOREST LOSS FORESTRY ACTIVITIES CARBON MANAGEMENT LAND USE EMISSIONS REDUCTIONS SUSTAINABLE FOREST MANAGEMENT EMISSION BIODIVERSITY PROTECTION ECOSYSTEM FORESTRY OPERATIONS LEAD PROJECT IMPACTS OUTCOME INDICATORS CLIMATE CHANGE CARBON STORAGE FOREST COVER PARTICIPATION FOREST COVERAGE ENVIRONMENTAL IMPACTS CLIMATE DEFORESTATION PROJECT MONITORING FORESTS FOREST CONCESSIONS DISTILLATION BUFFER ZONES FOREST INVESTMENT TROPICAL DEFORESTATION CLIMATE CHANGE MITIGATION FOREST FOREST USE NATURAL FOREST MANAGEMENT FOREST OWNERS FORESTRY PROJECTS DEFORESTATION RATE FOREST FIRE SUSTAINABLE FOREST FOREST PROJECTS GLOBAL CLIMATE CHANGE REGRESSION ANALYSIS ENERGY EFFICIENCY FOREST LAND ICR FOREST PROJECT FOREST COMMUNITY CARBON STOCK EMISSIONS FROM DEFORESTATION EVALUATION FOREST PROTECTION POVERTY CARBON STOCKS FOREST PLANTATION LESS FOREST FIRES FOREST OWNERSHIP PROXY INDICTORS SILVER LIVELIHOODS GLOBAL ENVIRONMENT FACILITY NATURAL FORESTS FOREST STRATEGY RENEWABLE ENERGY FOREST AREA OUTCOMES BIODIVERSITY CONSERVATION FOREST GOVERNANCE GLOBAL FOREST AFFORESTATION DEGRADED AREAS PRICES NEGATIVE IMPACTS BENEFITS FOREST PRODUCTION ENERGY FOREST COMMUNITIES The international development community is increasingly demanding better evidence on the effectiveness of policies and programs across different sectors. The forest sector is no exception. Governments and donor agencies explicitly seek to link investment to proven impact. Yet the evidence base necessary to inform interventions in the forest sector that can successfully enhance the livelihoods of the forest-dependent poor, foster economic growth, reduce emissions from deforestation and degradation, and conserve forest biodiversity remains weak. There is a particular need to identify robust indicators to track and assess the impacts of forest-related investments. The Independent Evaluation Group (IEG) 2013 review of the Forests Strategy of the World Bank, the largest multilateral funding source in the sector, and the subsequent Committee on Development Effectiveness (CODE) report highlighted this need. The IEG recommended the development of outcome indicators on sustainable forest management to track progress across the World Bank’s Forests Strategy. The 2013 CODE report highlighted the imperative to develop short-term proxy indicators for long-term impacts in the forest sector. To date, however, there is little systematic knowledge on the availability of such predictive proxies in the sector, what form they should take, and the conditions under which they are effective. This PROFOR-financed study responds to this gap in knowledge and to broader demand from donors, government agencies, and implementing organizations to develop robust, yet practical means to better understand the impacts of forest sector investments. It focuses in particular on potential predictive proxies for longer-term term outcomes and suggests that such indicators do in fact exist. The report identifies a set of theory-based predictive proxy indicators (PPIs) relevant to one or more overarching development objectives: poverty reduction and economic growth, biodiversity conservation, climate change mitigation and adaption, and good governance. 2016-01-07T21:38:41Z 2016-01-07T21:38:41Z 2015 Working Paper http://documents.worldbank.org/curated/en/2015/12/25668987/understanding-long-term-impacts-forest-sector-predictive-proxy-indicators http://hdl.handle.net/10986/23592 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Working Paper Publications & Research |