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The Dynamics of Forests, Livelihoods and 
Poverty Alleviation Relationships – Implications 
for Household Strategy 
Thabbie Chilongo 
Centre for Agricultural Research and Development (CARD) 
Lilongwe University of Agriculture and Natural Resources (LUANAR) 
Bunda Campus 
10 October 2014
The Dilemma 
• Population: 
 Over 13 million 
Population density of 139/sq. km 
Growth rate: 2.8% p.a. 
Pressure on arable land and forests 
• Policy Dilemma 
Population pressure vs Fuelwood Demand vs Sustainable 
Forest Management 
Need to study forest-reliant people
This Presentation… 
• A synthesis of theories and empirical studies 
• To explore the forest-livelihoods-poverty alleviation 
links and their impact on households’ choice of 
livelihood strategies.
Presentation Outline 
• Definitions of Key Terms 
and Concepts 
2. Livelihoods- 
Environmental 
Framework 
3. Forest- 
Poverty 
Link 
4. Implications for 
Household 
Strategies and 
Policies 
1. Context 
5. Concluding 
Remarks
Dynamics, Forest 
• Dynamics 
• Changes over time 
• Understanding what drives change, patterns of change, 
etc. 
• Forest 
• “Land with a tree canopy cover of more than 10% and 
area of more than 0.5ha” (FAO). 
• Trees reaching minimum height of 5m 
• Includes woodlands and plantations.
Poverty Alleviation: 
Prevention, Reduction or “Painkilling”? 
Poverty Reduction 
Time 
Poverty (e.g. income) 
B 
A 
“Poverty Painkilling” 
Poverty Prevention 
Poverty Line
Poverty Alleviation… 
• In this presentation, poverty alleviation is loosely 
applied as an inclusive term, encompassing: 
• poverty reduction, 
• poverty prevention, and 
• “poverty painkilling”
More Contexts… 
• This presentation focuses mostly on: 
• The role of non-timber forest products (NTFPs) 
• Developing country context 
• Mostly Sub-Saharan Africa 
• Income/consumption as a measure of poverty 
• Forests sometimes discussed together with general 
environmental frameworks
Dynamic Livelihoods-Environmental Framework 
Household Food/Livelihood Security Objective in Period 1 
1. Livelihood Assets 
(Natural, physical, human, financial, social) 
2. Conditioning Factors 
(markets, prices, institutions, productivity, seasonality, shocks) 
3. Livelihood Activities or Strategies (set of activities) 
4. Environmental Consequences and Livelihood Outcomes 
Natural Resources and Other Assets Available in Period 2 
Source: Adapted from Reardon and Vosti (1995) ; Ellis (2000)
Poverty-Forest Link: Which Direction? 
Forest Poverty 
Other Factors
Forest-Poverty Links 
• A. Forest Poverty Link 
• Poverty as endogenous [wrt forest] 
• Why are forest-reliant people poor? 
• Are forests poverty traps? 
• B. Poverty Forest Link 
• Poverty as exogenous [wrt forest] 
• Why are poor people more reliant on forests? 
• Safety nets, income smoothing, gap filling 
• Use forests as employer of last resort 
• Lack of viable alternatives
Forest as Employer of Last Resort: Model and the Dynamics 
Households (#) 
$ 
HF2 HF0 HF1 
EF2 
EF1 
EF0 
EF = Equilibrium forest income 
HF = Households involved in forest activity 
HH opportunity cost of labour 
Average forest income 
Source: Adapted from Angelsen and Wunder (2003) and Chilongo and Shively (2014)
Empirical Evidence: 
• Poverty Prevention & Painkilling 
• Supplement current consumption and safety net 
• Evidence: Reardon and Vosti, 1995; Cavendish, 2002; Angelsen and 
Wunder, 2003; Jumbe and Angelsen, 2007; Yemiru et al., 2010; Rija 
et al., 2011; Chilongo, 2014) 
• My own thesis 
• Safety net and gap-filling roles questioned by Wunder et al. (2014) 
• Poverty Reduction 
• Pathway out of poverty; relatively little evidence 
• Some exceptions: asset poor households do better than expected by 
using forest resources: Dokken and Angelsen, 2014; Ainembabazi et 
al. 2013; Shackleton et al. 2007
Implications for household strategies 
• How may households better use 
forests to alleviate poverty? 
• Extract more forest products 
• Seek new markets (higher 
prices) 
• Processing and value-adding 
• Charcoal vs. firewood 
• While these strategies may be 
individually (at household level) 
optimal, but are they sustainable or 
socially optimal?
Overuse: Tragedy of the Commons (Hardin, 1968) 
Overuse 
Marginal Cost 
(opp.cost of labour) 
Average Income 
Marginal 
Income 
Market 
Solution 
Optimal 
Solution 
Forest Harvest 
$
Concluding Remarks
1. Can Poverty Alleviation Reduce Forest Degradation? 
• The links between poverty and forests are complex hence no 
“one-cup-fits-all” solutions to poverty and forest degradation 
problems. 
• Reducing poverty can reduce forest degradation where poverty 
is driving extensification into forests. 
• However, reducing poverty will not necessarily reduce 
forest degradation if households invest or shift to other 
forest degrading ventures, e.g. livestock, chainsaws 
(Reardon and Vosti, 1995)
2. Can Forest Conservation Help the Poor? 
• It depends on: 
• The way forest conservation done 
• The context 
• It can alleviate poverty, where for example, forest 
degradation is affecting livelihoods, e.g. 
• limiting large scale logging with few local benefits 
• protecting a river used for irrigation 
• It can increase poverty, where the poor are denied 
access to forests they depend on for survival
3. If forests cannot reduce poverty, why bother? 
• Understanding how household assets and 
conditioning factors are linked to poverty and 
household behaviour may help to reduce poverty 
and enhance resource base (incl. forest). 
• Policy can then target such revealed relationships to 
come up with context-specific solutions. 
• This is where the livelihoods framework become handy.
4. Are we not asking too much from the forests? 
• Forests already play many roles 
• Safety nets 
• Seasonal gap filling (income smoothing) 
• Supporting regular consumption 
• Expecting forests also to be a major pathway out of 
poverty is probably asking for too much! 
• Low value of NTFPs makes them less likely to become a 
meaningful pathway out of poverty (Angelsen and 
Wunder, 2003).
The Dynamics of Forests, Livelihoods and Poverty Alleviation Relationships – Implications for Household Strategy by Thabbie Chilongo

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The Dynamics of Forests, Livelihoods and Poverty Alleviation Relationships – Implications for Household Strategy by Thabbie Chilongo

  • 1. The Dynamics of Forests, Livelihoods and Poverty Alleviation Relationships – Implications for Household Strategy Thabbie Chilongo Centre for Agricultural Research and Development (CARD) Lilongwe University of Agriculture and Natural Resources (LUANAR) Bunda Campus 10 October 2014
  • 2. The Dilemma • Population:  Over 13 million Population density of 139/sq. km Growth rate: 2.8% p.a. Pressure on arable land and forests • Policy Dilemma Population pressure vs Fuelwood Demand vs Sustainable Forest Management Need to study forest-reliant people
  • 3. This Presentation… • A synthesis of theories and empirical studies • To explore the forest-livelihoods-poverty alleviation links and their impact on households’ choice of livelihood strategies.
  • 4. Presentation Outline • Definitions of Key Terms and Concepts 2. Livelihoods- Environmental Framework 3. Forest- Poverty Link 4. Implications for Household Strategies and Policies 1. Context 5. Concluding Remarks
  • 5. Dynamics, Forest • Dynamics • Changes over time • Understanding what drives change, patterns of change, etc. • Forest • “Land with a tree canopy cover of more than 10% and area of more than 0.5ha” (FAO). • Trees reaching minimum height of 5m • Includes woodlands and plantations.
  • 6. Poverty Alleviation: Prevention, Reduction or “Painkilling”? Poverty Reduction Time Poverty (e.g. income) B A “Poverty Painkilling” Poverty Prevention Poverty Line
  • 7. Poverty Alleviation… • In this presentation, poverty alleviation is loosely applied as an inclusive term, encompassing: • poverty reduction, • poverty prevention, and • “poverty painkilling”
  • 8. More Contexts… • This presentation focuses mostly on: • The role of non-timber forest products (NTFPs) • Developing country context • Mostly Sub-Saharan Africa • Income/consumption as a measure of poverty • Forests sometimes discussed together with general environmental frameworks
  • 9. Dynamic Livelihoods-Environmental Framework Household Food/Livelihood Security Objective in Period 1 1. Livelihood Assets (Natural, physical, human, financial, social) 2. Conditioning Factors (markets, prices, institutions, productivity, seasonality, shocks) 3. Livelihood Activities or Strategies (set of activities) 4. Environmental Consequences and Livelihood Outcomes Natural Resources and Other Assets Available in Period 2 Source: Adapted from Reardon and Vosti (1995) ; Ellis (2000)
  • 10. Poverty-Forest Link: Which Direction? Forest Poverty Other Factors
  • 11. Forest-Poverty Links • A. Forest Poverty Link • Poverty as endogenous [wrt forest] • Why are forest-reliant people poor? • Are forests poverty traps? • B. Poverty Forest Link • Poverty as exogenous [wrt forest] • Why are poor people more reliant on forests? • Safety nets, income smoothing, gap filling • Use forests as employer of last resort • Lack of viable alternatives
  • 12. Forest as Employer of Last Resort: Model and the Dynamics Households (#) $ HF2 HF0 HF1 EF2 EF1 EF0 EF = Equilibrium forest income HF = Households involved in forest activity HH opportunity cost of labour Average forest income Source: Adapted from Angelsen and Wunder (2003) and Chilongo and Shively (2014)
  • 13. Empirical Evidence: • Poverty Prevention & Painkilling • Supplement current consumption and safety net • Evidence: Reardon and Vosti, 1995; Cavendish, 2002; Angelsen and Wunder, 2003; Jumbe and Angelsen, 2007; Yemiru et al., 2010; Rija et al., 2011; Chilongo, 2014) • My own thesis • Safety net and gap-filling roles questioned by Wunder et al. (2014) • Poverty Reduction • Pathway out of poverty; relatively little evidence • Some exceptions: asset poor households do better than expected by using forest resources: Dokken and Angelsen, 2014; Ainembabazi et al. 2013; Shackleton et al. 2007
  • 14. Implications for household strategies • How may households better use forests to alleviate poverty? • Extract more forest products • Seek new markets (higher prices) • Processing and value-adding • Charcoal vs. firewood • While these strategies may be individually (at household level) optimal, but are they sustainable or socially optimal?
  • 15. Overuse: Tragedy of the Commons (Hardin, 1968) Overuse Marginal Cost (opp.cost of labour) Average Income Marginal Income Market Solution Optimal Solution Forest Harvest $
  • 17. 1. Can Poverty Alleviation Reduce Forest Degradation? • The links between poverty and forests are complex hence no “one-cup-fits-all” solutions to poverty and forest degradation problems. • Reducing poverty can reduce forest degradation where poverty is driving extensification into forests. • However, reducing poverty will not necessarily reduce forest degradation if households invest or shift to other forest degrading ventures, e.g. livestock, chainsaws (Reardon and Vosti, 1995)
  • 18. 2. Can Forest Conservation Help the Poor? • It depends on: • The way forest conservation done • The context • It can alleviate poverty, where for example, forest degradation is affecting livelihoods, e.g. • limiting large scale logging with few local benefits • protecting a river used for irrigation • It can increase poverty, where the poor are denied access to forests they depend on for survival
  • 19. 3. If forests cannot reduce poverty, why bother? • Understanding how household assets and conditioning factors are linked to poverty and household behaviour may help to reduce poverty and enhance resource base (incl. forest). • Policy can then target such revealed relationships to come up with context-specific solutions. • This is where the livelihoods framework become handy.
  • 20. 4. Are we not asking too much from the forests? • Forests already play many roles • Safety nets • Seasonal gap filling (income smoothing) • Supporting regular consumption • Expecting forests also to be a major pathway out of poverty is probably asking for too much! • Low value of NTFPs makes them less likely to become a meaningful pathway out of poverty (Angelsen and Wunder, 2003).