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"#$%&#!'&()*+&,-!.$/012!'31&2!4!5-+-1%-/!6789!!
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!
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*+"#),-%.$(%/$"0)+$1#$,%2#,3+)45%
*)+"0(0$6%(.,.%7+)%8'8,.0$.9:#%
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PEN is a…
! pan-tropical collection of
! uniform, quarterly, (intended) high-quality data by
! mainly PhD student partners on
! household economics – central RQ: “how much do
forest and environmental resources contribute?”
! coordinated by CIFOR – but highly collaborative
! => huge ‘bean-counting+’ exercise: income sources
! => basic, not policy research -- but policy framing
PEN field sites
24 countries, 33 partners, 58 sites, 360 villages,
8,000+ households. Data collected 2006–2010
PEN sample: a delicate balance
! Criteria for site selection:
•  Rural in a tropical or sub-tropical developing region,
•  Some access to forests (0 < forest cover < 100%)
! Site selection was opportunistic (PhD students) – with
some posterior gap-filling (e.g. West Africa, SE Asia)
! Within sites: stratified village selection (along pre-
defined gradients), random hh selection in villages
=> Broadly representative of smallholder-dominated
tropical and sub-tropical landscapes with moderate-
to-good access to forest resources.
=> Slight bias toward areas with “good forests” (vis-a-
vis “rural developing world” baseline); Africa
PEN methods
Research tools are online:
http://www.cifor.org/pen
!  Summarized in Angelsen et al. (eds.)
2011 book (available for free
download from CIFOR website)
!  ESRC (UK) positive evaluation 2012:
methods and capacity building may
be just as important as PEN results
:;<!=:>!,/$?$?@,-!A0-*B$((&3/-*!
&C&3#&%#-!3(!D!#&(E0&E-*!
World Development Special Issue
Free download online: www.cifor.org/pen
0.0 0.1 0.2 0.3
income shares
other
environment
business
livestock
wages
forest
crops
Source: CIFOR-PEN dataset
Income sources in the PEN dataset
F66G!
F4H9G!
I!J!6KHLG!
=> Clearly supports “high env. income” hypothesis
– …much more than some of us had thought! "
The role of extractive incomes:
“More than 10,000
years after the
Agricultural
Revolution started,
millions of rural
smallholders across
the developing world
may still derive as
much income from
foraging forests and
wildlands as from
cultivating crops”
(Wunder, Angelsen, Belcher
World Development 2014)
•  Digital uptake: Monitoring & evaluating
download data of PEN papers (World
Development) from CIFOR website
Outcomes & uptake pathways
Outcomes & uptake pathways
•  Help World Bank and statistical bureaus
doing Living Standard Measurement
Surveys (LSMS) to do a better job in
(environmental) ‘bean counting’…
# Joint project working with FAO, World Bank,
PROFOR, IFRI, Univ. Copenhagen: develop
forestry module for LSMS.
# PEN and climate change:
a) REDD opportunity costs (mitigation)
b) village climate cross section (adaptation)
Combining PEN with climate data…
Source: PEN & CRU data
…and their fluctuations
=> Can then be used econometrically: relating hh
incomes to climate change and assets
333=;07+)=+)6><#$%%

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Poverty and Environment Network: Providing data for sustainable landscape management

  • 2. PEN is a… ! pan-tropical collection of ! uniform, quarterly, (intended) high-quality data by ! mainly PhD student partners on ! household economics – central RQ: “how much do forest and environmental resources contribute?” ! coordinated by CIFOR – but highly collaborative ! => huge ‘bean-counting+’ exercise: income sources ! => basic, not policy research -- but policy framing
  • 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 ! Criteria for site selection: •  Rural in a tropical or sub-tropical developing region, •  Some access to forests (0 < forest cover < 100%) ! Site selection was opportunistic (PhD students) – with some posterior gap-filling (e.g. West Africa, SE Asia) ! Within sites: stratified village selection (along pre- defined gradients), random hh selection in villages => Broadly representative of smallholder-dominated tropical and sub-tropical landscapes with moderate- to-good access to forest resources. => Slight bias toward areas with “good forests” (vis-a- vis “rural developing world” baseline); Africa
  • 5. PEN methods Research tools are online: http://www.cifor.org/pen !  Summarized in Angelsen et al. (eds.) 2011 book (available for free download from CIFOR website) !  ESRC (UK) positive evaluation 2012: methods and capacity building may be just as important as PEN results :;<!=:>!,/$?$?@,-!A0-*B$((&3/-*! &C&3#&%#-!3(!D!#&(E0&E-*!
  • 6. World Development Special Issue Free download online: www.cifor.org/pen
  • 7. 0.0 0.1 0.2 0.3 income shares other environment business livestock wages forest crops Source: CIFOR-PEN dataset Income sources in the PEN dataset F66G! F4H9G! I!J!6KHLG! => Clearly supports “high env. income” hypothesis – …much more than some of us had thought! "
  • 8. The role of extractive incomes: “More than 10,000 years after the Agricultural Revolution started, millions of rural smallholders across the developing world may still derive as much income from foraging forests and wildlands as from cultivating crops” (Wunder, Angelsen, Belcher World Development 2014)
  • 9. •  Digital uptake: Monitoring & evaluating download data of PEN papers (World Development) from CIFOR website Outcomes & uptake pathways
  • 10. Outcomes & uptake pathways •  Help World Bank and statistical bureaus doing Living Standard Measurement Surveys (LSMS) to do a better job in (environmental) ‘bean counting’… # Joint project working with FAO, World Bank, PROFOR, IFRI, Univ. Copenhagen: develop forestry module for LSMS. # PEN and climate change: a) REDD opportunity costs (mitigation) b) village climate cross section (adaptation)
  • 11. Combining PEN with climate data… Source: PEN & CRU data
  • 12. …and their fluctuations => Can then be used econometrically: relating hh incomes to climate change and assets