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Does One Size Fit All? Heterogeneity in the Valuation of Community Forestry Programs?

Author

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  • Dambala Gelo

    (Department of Economics, University of Pretoria)

  • Steven F. Koch

    (Department of Economics, University of Pretoria)

Abstract

Through the implementation of a choice experiment valuation exercise, this study set out to identify the set of community plantation attributes that impact the welfare of potential community forestry program participants. We employed a combination of choice models to evaluate the preferences, welfare impacts and choice elasticities associated with alternative community forestry programs, allowing for different assumptions regarding heterogeneity. In line with economic theory, increased participation costs reduced the demand for community forestry, while increases in expected productivity raised the demand. With respect to preferences for the other alternatives considered - type of forest, area enclosure and type of land upon which the forest was to be situated - the results point to significant differences in preferences across the study population, suggesting that programs should be tailored to the communities in which the program is to be implemented.

Suggested Citation

  • Dambala Gelo & Steven F. Koch, 2011. "Does One Size Fit All? Heterogeneity in the Valuation of Community Forestry Programs?," Working Papers 201121, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201121
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    Cited by:

    1. Meldrum, James R., 2015. "Comparing different attitude statements in latent class models of stated preferences for managing an invasive forest pathogen," Ecological Economics, Elsevier, vol. 120(C), pages 13-22.
    2. Dambala Gelo & Steven F. Koch, 2011. "Contingent Valuation of Community Forestry Programs in Ethiopia: Observing Preference Anomalies in Double-Bounded CVM," Working Papers 201124, University of Pretoria, Department of Economics.
    3. Carson, Richard T. & DeShazo, J.R. & Schwabe, Kurt A. & Vincent, Jeffrey R. & Ahmad, Ismariah, 2015. "Incorporating local visitor valuation information into the design of new recreation sites in tropical forests," Ecological Economics, Elsevier, vol. 120(C), pages 338-349.
    4. Ntuli, Herbert & Muchapondwa, Edwin & Okumu, Boscow, 2020. "Can local communities afford full control over wildlife conservation? The case of Zimbabwe," Journal of choice modelling, Elsevier, vol. 37(C).
    5. Gelo, Dambala & Koch, Steven F., 2015. "Contingent valuation of community forestry programs in Ethiopia: Controlling for preference anomalies in double-bounded CVM," Ecological Economics, Elsevier, vol. 114(C), pages 79-89.
    6. Abebe, Gumataw K. & Bijman, Jos & Kemp, Ron & Omta, Onno & Tsegaye, Admasu, 2013. "Contract farming configuration: Smallholders’ preferences for contract design attributes," Food Policy, Elsevier, vol. 40(C), pages 14-24.
    7. Matthew Oliver Ralp Dimal & Victor Jetten, 2020. "Analyzing preference heterogeneity for soil amenity improvements using discrete choice experiment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1323-1351, February.
    8. Chengxiang Tang & Yucheng Zhang, 2016. "Using discrete choice experiments to value preferences for air quality improvement: the case of curbing haze in urban China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(8), pages 1473-1494, August.
    9. Boscow Okumu & Edwin Muchapondwa & Herbert Ntuli, 2018. "Can local communities afford full control over wildlife conservation? The Case of CAMPFIRE in Zimbabwe," Working Papers 766, Economic Research Southern Africa.
    10. Kosenius, Anna-Kaisa & Kniivilä, Matleena & Pitiot, Maja & Horne, Paula, 2019. "Location of forest plantations in Mozambique: Gains and losses in water, firewood and land availability," Land Use Policy, Elsevier, vol. 88(C).

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    More about this item

    Keywords

    Community forestry; choice experiment; conditional logit; random parameters logit and latent class model;
    All these keywords.

    JEL classification:

    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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