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Randy Etal Household Forest Values

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Randy Etal Household Forest Values

  1. 1. Project Proposal Household Forest Values Under Varying Management Regimes in Rural Ethiopia Alemu Mekonnen Randy Bluffstone Gunnar K ӧ hlin
  2. 2. Background <ul><li>Key policy changes at state and federal levels in Ethiopia in recent years </li></ul><ul><li>Environmental Economics Policy Forum for Ethiopia (EEPFE) held two policy workshops </li></ul><ul><li>Country Partnership Program for Sustainable Land Management (CPPSLM) emerged as a key development </li></ul>
  3. 3. Goal of the Project <ul><li>Examine and understand the role of forests and trees in rural livelihoods under varying management regimes </li></ul>
  4. 4. Key Objectives <ul><li>Understand the role of private trees as assets and the determinants of tree growing behavior </li></ul><ul><li>Understand household responses to fuelwood scarcity and forest degradation by examining implications for time spent for fuelwood collections </li></ul>
  5. 5. Objectives Continued <ul><li>Assess the link between rural poverty and dependence on forests and the role played by local institutions and property rights regimes </li></ul><ul><li>Estimate the value households receive from common forests </li></ul><ul><li>Estimate and decompose the welfare impacts of community forestry and agro-forestry programs </li></ul>
  6. 6. Outputs <ul><li>Five academic papers </li></ul><ul><li>At least one policy workshop </li></ul><ul><li>Policy briefs summarizing the research for non-specialist readers </li></ul>
  7. 7. Approach <ul><li>Develop theoretical models </li></ul><ul><li>Collect household/community survey and spatial data </li></ul><ul><li>Analyze data using standard, but perhaps new-for-project-staff and some not-so-common-for-the-field, methods </li></ul>
  8. 8. Elements of Theoretical Models <ul><li>Household models </li></ul><ul><li>Non-separability in production </li></ul><ul><li>Market failures </li></ul>
  9. 9. Data <ul><li>Sample of approximately 600 households </li></ul><ul><li>Amhara Regional State? </li></ul><ul><li>CPPSLM watershed </li></ul><ul><li>Spatial data on, for example, forest cover, distance of forests from households and tree cover on farm plots </li></ul><ul><li>Household/community/plot level data </li></ul>
  10. 10. Envisioned Empirical Analysis <ul><li>Cross-section and panel data econometric methods </li></ul><ul><li>Matching methods </li></ul><ul><li>Choice experiment and CVM </li></ul>
  11. 11. Economics Expertise <ul><li>Senior : Alemu Mekonnen (EEPFE/AAU), Randy Bluffstone (PSU), Gunnar K ӧ hlin (EEU), Berhanu Gebremedhin (ILRI) </li></ul><ul><li>Ph.D . Candidates : Dambala Gelo, Abebe Beyene (EEU/CEEPA-Pretoria) </li></ul>
  12. 12. Other Expertise <ul><li>Sisay Nune, GIS Specialist and Coordinator </li></ul><ul><li>EEPFE research assistants </li></ul><ul><li>Survey supervisors and enumerators </li></ul><ul><li>Finance administrator </li></ul><ul><li>Data manager and data entry operators </li></ul>
  13. 13. Key Non-Expertise Inputs <ul><li>Purchase of topographic maps </li></ul><ul><li>GIS software </li></ul><ul><li>Spatial econometric training </li></ul><ul><li>Household/community and spatial survey implementation </li></ul>
  14. 14. <ul><li>Wish Us Luck!!! </li></ul>

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