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Relaxing constraints as a conservation policy

Author

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  • Groom, Ben
  • Palmer, Charles

Abstract

Eco-entrepreneurs in developing countries are often subject to market or institutional constraints such as missing markets. Conservation interventions which relax constraints may be both cost effective and poverty reducing. A simulation using data from an intervention in Madagascar to relax the technological constraints of forest honey production investigates this possibility. Cost-effectively achieving dual environment-development goals is shown to depend on the severity of constraints, relative prices, along with the nature and efficiency in use of technology. Success is more likely for technologies exhibiting close to constant returns to scale or high-input complementarity. Forest honey does not meet these requirements. Ultimately, where market or institutional constraints are present, knowledge of the recipient technology is required for more informed, efficient and perhaps more politically acceptable conservation policy.

Suggested Citation

  • Groom, Ben & Palmer, Charles, 2014. "Relaxing constraints as a conservation policy," Environment and Development Economics, Cambridge University Press, vol. 19(4), pages 505-528, August.
  • Handle: RePEc:cup:endeec:v:19:y:2014:i:04:p:505-528_00
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    Cited by:

    1. Beygi Heidarlou, Hadi & Banj Shafiei, Abbas & Erfanian, Mahdi & Tayyebi, Amin & Alijanpour, Ahmad, 2019. "Effects of preservation policy on land use changes in Iranian Northern Zagros forests," Land Use Policy, Elsevier, vol. 81(C), pages 76-90.
    2. Andersen, Lykke E. & Groom, Ben & Killick, Evan & Ledezma, Juan Carlos & Palmer, Charles & Weinhold, Diana, 2017. "Modelling Land Use, Deforestation, and Policy: A Hybrid Optimisation-Heterogeneous Agent Model with Application to the Bolivian Amazon," Ecological Economics, Elsevier, vol. 135(C), pages 76-90.
    3. Brusselaers, Jan & Van Huylenbroeck, Guido & Buysse, Jeroen, 2017. "Green Public Procurement of Certified Wood: Spatial Leverage Effect and Welfare Implications," Ecological Economics, Elsevier, vol. 135(C), pages 91-102.
    4. Lykke Andersen & Ugur Bilge & Ben Groom & David Gutierrez & Evan Killick & Juan Carlos Ledezma & Charles Palmer & Diana Weinhold, 2014. "Modelling land use, deforestation, and policy analysis: A hybrid optimization-ABM heterogeneous agent model with application to the Bolivian Amazon," GRI Working Papers 164, Grantham Research Institute on Climate Change and the Environment.
    5. Carlson, Anna & Palmer, Charles, 2016. "A qualitative meta-synthesis of the benefits of eco-labeling in developing countries," Ecological Economics, Elsevier, vol. 127(C), pages 129-145.
    6. Figueroa, Daniela & Galeana-Pizaña, J. Mauricio & Núñez, Juan Manuel & Anzaldo Gómez, Carlos & Hernández-Castro, J. Roberto & Sánchez-Ramírez, María del Mar & Garduño, Andrea, 2021. "Assessing drivers and deterrents of deforestation in Mexico through a public policy tool. The adequacy of the index of economic pressure for deforestation," Forest Policy and Economics, Elsevier, vol. 133(C).
    7. Hou, Ruihuan & Ma, Guoyong & Tong, Lu, 2025. "How policy instruments affect forest cover: Evidence from China," Forest Policy and Economics, Elsevier, vol. 172(C).
    8. Cranford, Matthew & Mourato, Susana, 2014. "Credit-Based Payments for Ecosystem Services: Evidence from a Choice Experiment in Ecuador," World Development, Elsevier, vol. 64(C), pages 503-520.
    9. Brusselaers, Jan & Verbeke, Wim & Mettepenningen, Evy & Buysse, Jeroen, 2020. "Unravelling the true drivers for eco-certified wood consumption by introducing scarcity," Forest Policy and Economics, Elsevier, vol. 111(C).

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    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics

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