3 The Poverty Environment Network (PEN), Hogarth & Wunder
1. The Poverty Environment Network (PEN):
A pan-tropical study on the role of forests &
environmental income in rural livelihoods
Nick Hogarth & Sven Wunder
‘Lessons from a Decade’s Research on Poverty:
Innovation, Engagement and Impact’
ESRC-DFID, 16 March 2016. Pretoria, S. Africa
www.cifor.org/pen
2. Why PEN? Poor understanding of the role
of forest & env. income in rural livelihoods
Forests’ role in rural livelihoods has global significance
- est. 1 billion of the worlds’ extreme poor dependent of forest resources
for all or part of their livelihoods
Rural people often derive a wide range of benefits
from forests & env.:
- Employment, health & wellbeing, energy/fuel, environmental services,
food security, products for subsistence use or sale (income)
Lack of systematic data
- Multi-dimensional & informal nature makes it difficult to measure,
subsumed under agricultural data, or just ignored (hidden harvest)
- Mostly case studies
- lack of understanding about whether, & how, forests & trees can be
used to support rural development & poverty alleviation.
3. PEN field sites
24 countries, 33 partners, 58 sites, 360 villages, 8,000+
households. Data collected 2006-2010
4. PEN sample: A delicate balance
Three criteria for site selection:
1. Within a tropical or sub-tropical developing region,
2. Some access to forests (0 < forest cover < 100%)
3. Smallholder landscapes
Site selection was to some degree opportunistic
Within sites: stratified village selection (along pre-defined
gradients), random household selection
Broadly representative of smallholder-dominated tropical
and sub-tropical landscapes with moderate-to-good access
to natural forest resources.
5. PEN methods
Standardized definitions & methods comparable.
All surveys covered a 12-month period
Village surveys
- One at the start and one at the end
Household surveys (annual & quarterly):
- One at the start and one at the end
- Short recall periods (1–3 months), data on demographics,
assets, all income sources (cash & subsistence), social capital
Summarized in 2011 book (available
for free download from CIFOR website)
Research tools are online:
www.cifor.org/pen
6. The contribution of forest &
environmental income to
total household income
Gender & forest reliance
Tenure & forest income
Forests as ‘safety nets’ &
‘gap-fillers’ in the face of
income, asset & labor shocks
Forest clearing/deforestation
Results: 5 thematic global studies
7. • Forest & environmental income: Income from forest &
environmental resources is nearly as much as crops ‘The
hidden harvest’
• Gender: Men generated at least as much forest income as
women do (with product variations).
• Shocks: Forests less important as “safety nets” than
portrayed in case-study literature (other shock responses key).
• Tenure: More income from state, rather than private or
community forests (absolutely and per-ha).
• Deforestation: Although often blamed, the poorest farmers
clear much less forest than smallholders from higher
socioeconomic brackets (investment)
Some myth-busting findings
8. 4.6 1.6
7.3
7.7
5.1 7.0
15.2
12.5 9.6
17.6 12.0
0 10 20 30
Share (%)
Other env.
Business
Other
Livestock
Wage
Forest
Cropping
Income shares by source, global
Subsistence Cash
22.1%
(28.3%)
The hidden harvest: Contribution of forest
& environmental income
9. 2.7 1.0
6.3
9.9
5.0 7.6
17.5
11.2 8.8
16.9 13.4
0 10 20 30
Share (%)
Other env.
Business
Other
Livestock
Wage
Forest
Cropping
Income shares by source, Asia
Subsistence Cash
5.0
6.8 2.3
9.2
10.6
5.8 6.1
13.3 8.1
21.8 11.4
0 10 20 30 40
Share (%)
Other
Other env.
Business
Wage
Livestock
Forest
Cropping
Income shares by source, Africa
Subsistence Cash
2.9 0.6
4.4
10.6
3.7 8.0
8.0 10.9
22.5
13.4 15.2
0 10 20 30
Share (%)
Other env.
Business
Other
Livestock
Cropping
Wage
Forest
Income shares by source, Larin America
Subsistence Cash
Variation of income shares by region
10. 24.2 8.8
19.5 9.8
17.1 10.5
14.9 11.0
12.7 11.8
0 10 20 30 40
Env. income share(%)
Bottom 20%
20-40%
40-60%
60-80%
Top 20%
Env. reliance by income quintile, global
Subsistence Cash
15.3 7.5
13.0 8.3
11.5 8.9
10.0 9.5
9.1 9.9
0 5 10 15 20 25
Forest income share (%)
Bottom 20%
20-40%
40-60%
60-80%
Top 20%
Forest reliance by income quintile, global
Subsistence Cash
Forest and environmental income
shares by socioeconomic status
The poorest households are most reliant on forest & env.
income, & on subsistence
11. Forest and environmental income
shares by product type
Forest income (%) Other environmental
income (%)
Food 20.9 39.6
Fuel 37.2 21.8
Structural and
fiber
33.3 15.5
Medicines,
resins and dyes
5.1 5.8
Other 3.5 17.3 (fodder)
Total 100 100
12. Outputs & impacts: Dissemination
Free download online: www.cifor.org/pen +
World Development (open access)
13. • Digital uptake pathways: Monitoring & evaluating download
data from PEN papers from the World Development Special
Issue.
Outcomes & impact pathways
14. Research tools: freely available for download from the PEN
website for ~ 8 years (>16,000 downloads).
PEN questionnaires available in 8 languages
The PEN Technical Guidelines
Data entry & data cleaning tools, code list
Dissemination: Sharing research tools &
data
PEN Global dataset: freely available for download from the
PEN website for ~ 2 years
15. Impact pathways
Academia & researchers
benefiting from global synthesis results and new, comprehensive environment-poverty
data that shed light on broader rural livelihood relationships.
Donors & multilaterals
in forestry and conservation receiving a better understanding of local development-
conservation synergies and trade-offs, thus informing their investments.
Policy-makers
at the national &/or local level, gaining both a more realistic view on the pro-poor role of
forests and research-based suggestions for strategic policy interventions.
Central Bureaus of Statistics, World Bank, UN-FAO:
refining national household-survey design to strengthen the collection of forest and
environmental income.
PhD students & local partners:
enhancing their capacity in data collection, analysis and research methodologies.
16. Example: Outcomes & impact pathways
Helping World Bank & national statistical bureaus
engaged in Living Standard Measurement Study
surveys (LSMS) to improve forest & env. income data
collection:
Joint project with UN-FAO, World Bank, PROFOR, IFRI to
develop forestry module for LSMS national household surveys.
CIFOR pilot testing new forestry module in Indonesia
(+Tanzania, Nepal)
Contribute to WB report for Paris UNFCCC COP on climate
change and poverty
17. Forest & environmental income plays a vital
role in rural livelihoods
But, the poor are relatively more reliant
• Subsistence uses
• Products from non-forest environments
A diversity of forest–livelihoods situations
• A poverty driven forest reliance: lack of assets and
opportunities
• An opportunity driven forest reliance: valuable cash
product & those that benefit relatively rich
Conclusions
18. Failing to account for this contribution:
• Gives a misleading picture of rural livelihoods
• Overestimates poverty and inequality
• Biases perspectives on pathways in and out of poverty:
- Benefits of converting forest to cropland overestimated
- Households that specialize in forest-env. income lose out
from large-scale conversion of wildlands
- Limiting access to wild product harvesting/marketing has
negative welfare effects
Conclusions continued
Household use of forest & env. resources is
important in large-scale development:
• Least Developed Countries, Green Economy transitions,
Sustainable Development Goals, etc.
19. The ‘PEN model’:
• Cost effective
• Good quality data (PhD students incentive to do good work)
• Big network: local links & local impacts, as well as regional & global
level applications
Lessons for poverty research
Centralized & standardized methods
• Replicable & comparable results for scaling up
Sharing methods & data
• Publicly available methods & data allow for continuation
Donor support beyond the science is essential
• For dissemination, enhancing outputs & impacts, pursuing impact
pathways, maximizing benefits for public goods
- Presentation on behalf of CIFOR, the Center for International Forestry Research. Although I am now work for the University of Helsinki, I was involved in the PEN project for nearly 10 years, originally starting out as a PhD student partner and then getting involved in the management of the project
- Started in 2004, PEN is the largest and most comprehensive study on the role of forest & env. Inc. in rural livelihoods, using a network of 33 PhD students (mostly from developing countries) to collect detailed and high-quality household-level data on the Forest-poverty nexus.
coordinated by the Center for International Forestry Research (CIFOR), but a collaborative effort between CIFOR & and 40+ universities & other institutions
largely funded by a DFID-ESRC grant from January 2008 to June 2011, and then continued funding through DFID-KNOWFOR from 2013 – ongoing
Before I get into describing the project, I will first give some brief background about why we did this project, and why it is important for poverty research.
Governments, international donors, research organisations and NGOs looking to the forestry sector for information about rural livelihoods and poverty reduction are generally faced with large gaps in understanding about the contribution of forests and trees.
Unlike the biophysical aspect of forests (forest cover/area, forest types, standing volumes etc.) there is a distinct lack of systematic data about the contribution of forests & trees rural livelihoods & poverty reduction
therefore a lack of understanding about whether, and how, forests and trees can be used to support rural development and poverty alleviation.
The contribution of forest & environmental income to rural livelihoods has been poorly documented, & so has largely been ignored by most policymakers.
Existing tools that assess poverty & income — e.g. poverty reduction strategy plans, the World Bank’s Living Standard Measurement Study Surveys (LSMS), national income accounting systems — often fail to adequately capture the importance of income from natural resources. Thus its value to the livelihoods of the world’s rural poor has remained largely invisible.
A team of 33 researchers – mostly PhD students from developing countries – were engaged to collect data from 8000+ households from 50+ sites in 24 countries
Data was collected between 2006 – 2010 using a standardized and centrally coordinated methodology, which allowed for systematic comparisons across studies and regions
The standardised definitions, questionnaires and methods used by PEN Partners across multiple sites represent a new approach to data collection, and enabled direct comparison between sites and the subsequent integration of case studies into a compatible global data set.
Village surveys at start & finish:
Data common to all households; demographics, markets, institutions, natural resource endowments, migration etc.
Household surveys (annual & quarterly):
One initial survey to capture basic household information (demographics, assets, forest-related information)
One terminal survey capturing risk, economic shocks, land-use changes etc.
Four quarterly income surveys with short recall periods (1–3 months) capturing data on demographics, assets, all income sources (cash & subsistence), social capital etc.
These findings (all published in the WD Special issue) confirmed some suspicions & challenged some conventional wisdom about environmental income.
Men generated at least as much income from forests as women do, contradicting long-held assumptions.
Forests were less important as “safety nets” in response to shocks and as gap fillers between seasonal harvests than previously believed.
State forests generated more income than private or community forests.
While the most destitute of poor farmers are often blamed for deforestation, they played only a modest role in forest clearing.
The world’s rural poor are more dependent on forest & environmental resources than is commonly realized.
Income from natural forests & other natural areas ~28% of total household income, nearly as much as crops.
Global average results:
Forest (natural) income = 21.1%
Forest (plantation) income = 1%
Non-forest environmental income = 6.4
Environmental income (natural forest & non-forest environmental) = 27.5, about the same as crop income 28.7%
Regional variation:
- In L. America forest income was most important income source
- Africa had the highest proportion of non-forest environmental income of all regions
- Although the higher income households have much higher absolute income from both forest & environmental sources, but the proportion/reliance on this income is less because they have higher income from off-farm sources
7 PEN articles:
1 summary/overview article (Wunder et al. 2014),
5 thematic global articles,
1 regional case study (Duchelle et al. 2014)
Freely available online
Plus:
- >50 Peer-reviewed journal articles (based on individual case studies)
- 1 methods book
- 7 Book chapters/sections
- >100 Conference papers & presentations
- ~20 PhD theses
- 4 Masters theses
- 6 Working papers & reports
- 26 Newsletters & bulletins:
- 2 Policy briefs
The download data-capture form requires anyone wanting to freely download the open-access paper to enter in a minimal set of information about who they are & how they intend to use the paper.
Using this approach we are learning a lot about our hitherto anonymous audience that downloads and uses our publications, and we have found that a range of target audiences and end users are accessing our knowledge products. For example, Figure 1 and Figure 2 show the preliminary results from the first 280 downloads from the first paper that was published online as part of the PEN World Development Special Issue.
One of the key knowledge products generated from the PEN project is the PEN global dataset. As part of CIFOR’s open-access policy and mandate to share global public goods, this dataset is now being made available to share with others from outside of the PEN project. The data has thus far been shared with ~20 ‘external’ parties, who are currently analyzing the data with the aim of producing a range of publications that will acknowledge the use of PEN data.
Under DFID’s KNOWFOR program, we now aim to maximise the outputs and outcomes of the PEN project, and to boost the institutional and global public goods that can be provided from PEN. We are actively disseminating PEN knowledge products, experiences, tools and policy advice to reach foresters, land-use practitioners, and policy makers.
Under DFID’s KNOWFOR program, we now aim to maximise the outputs and outcomes of the PEN project, and to boost the institutional and global public goods that can be provided from PEN. We are actively disseminating PEN knowledge products, experiences, tools and policy advice to reach foresters, land-use practitioners, and policy makers.