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Will Buying Tropical Forest Carbon Benefit The Poor? Evidence from Costa Rica

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Listed:
  • Kerr, Suzi
  • Lipper, Leslie
  • Pfaff, Alexander S.P.
  • Cavatassi, Romina
  • Davis, Benjamin
  • Hendy, Joanna
  • Sanchez, Arturo

Abstract

We review claims about the potential for carbon markets that link both payments for carbon services and poverty levels to ongoing rates of tropical deforestation. We then examine these effects empirically for Costa Rica during the 20th century using an econometric approach that addresses the irreversibilities in deforestation. We find significant effects of the relative returns to forest on deforestation rates. Thus, carbon payments would induce conservation and also carbon sequestration, and if land users were poor could conserve forest while addressing rural poverty. However, we find poorer areas are less responsive to returns. This and transaction costs could lead carbon payments policies not to be focused upon the poor. Other practical considerations may also dampen an understandable enthusiasm for service-based payments addressing both environment and inequality. Nonetheless, as the poor live in areas with more forest, they may benefit most from payments.

Suggested Citation

  • Kerr, Suzi & Lipper, Leslie & Pfaff, Alexander S.P. & Cavatassi, Romina & Davis, Benjamin & Hendy, Joanna & Sanchez, Arturo, 2004. "Will Buying Tropical Forest Carbon Benefit The Poor? Evidence from Costa Rica," ESA Working Papers 23807, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
  • Handle: RePEc:ags:faoaes:23807
    DOI: 10.22004/ag.econ.23807
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    5. Suzi Kerr & Shuguang Liu & Alexander S. P. Pfaff & R. Flint Hughes, 2003. "Carbon Dynamics and Land-Use Choices: Building a Regional-Scale Multidisciplinary Model," Working Papers 03_06, Motu Economic and Public Policy Research.
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    7. Suzi Kerr & Alexander Pfaff & Romina Cavatassi & Benjamin Davis & Leslie Lipper & Arturo Sanchez & Jason Timmins, 2004. "Effects of Poverty on Deforestation: Distinguishing behaviour from location," Working Papers 04-19, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    8. De Jong, Ben H. J. & Tipper, Richard & Montoya-Gomez, Guillermo, 2000. "An economic analysis of the potential for carbon sequestration by forests: evidence from southern Mexico," Ecological Economics, Elsevier, vol. 33(2), pages 313-327, May.
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    1. Blare, Trent & Haro-Carrion, Xavier, 2013. "Turning Carbon into Cash: Economic Model of Payments for Carbon Sequestration in the Dry Tropical Forest of Coastal Ecuador," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143088, Southern Agricultural Economics Association.
    2. Arthur van Benthem & Suzi Kerr, 2010. "Optimizing Voluntary Deforestation Policy in the Face of Adverse Selection and Costly Transfers," Working Papers 10_04, Motu Economic and Public Policy Research.
    3. Blare, Trent & Haro-Carrión, Xavier & Grogan, Kelly A. & Useche, Pilar, 2013. "How Much Does the Forest Cost? Determining the Size of Subsidy Payments to Induce Reforestation in Coastal Ecuador," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151427, Agricultural and Applied Economics Association.
    4. Lykke Andersen & Jonah Busch & Elizabeth Curran & Juan Carlos Ledezma & Joaquín Mayorga & Mélissa Bellier, 2012. "Environmental and socio-economic consequences of forest carbon payments in Bolivia: Results of the OSIRIS-Bolivia model," Development Research Working Paper Series 02/2012, Institute for Advanced Development Studies.
    5. Fortmann, Lea & Cordero-Salas, Paula & Sohngen, Brent & Brian, Roe, 2016. "Incentive Contracts for Environmental Services and their Potential in REDD," International Review of Environmental and Resource Economics, now publishers, vol. 9(3-4), pages 363-409, September.
    6. Yan, Youpei, 2017. "Unintended Land Use Effects of Afforestation in China," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258280, Agricultural and Applied Economics Association.
    7. van Benthem, Arthur & Kerr, Suzi, 2013. "Scale and transfers in international emissions offset programs," Journal of Public Economics, Elsevier, vol. 107(C), pages 31-46.
    8. Andersen, Lykke & Busch, Jonah & Curran, Elizabeth & Ledezma, Juan Carlos & Mayorga, Joaquín & Ruiz, Pablo, 2014. "Impactos socioeconómicos y ambientales de compensaciones por la reducción de emisiones de deforestación en Bolivia: resultados del modelo OSIRIS-Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 22, pages 7-48, Noviembre.
    9. Cyrus Samii & Matthew Lisiecki & Parashar Kulkarni & Laura Paler & Larry Chavis & Birte Snilstveit & Martina Vojtkova & Emma Gallagher, 2014. "Effects of Payment for Environmental Services (PES) on Deforestation and Poverty in Low and Middle Income Countries: A Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 10(1), pages 1-95.
    10. Coomes, Oliver T. & Grimard, Franque & Potvin, Catherin & Sima, Philip, 2008. "The fate of the tropical forest: Carbon or cattle?," Ecological Economics, Elsevier, vol. 65(2), pages 207-212, April.
    11. Lewis, Kate & Porras, Ina & Miranda, Miriam & Barton, David & Chacon, Adriana, 2012. "De Rio a Rio+ Lecciones de 20 años de experiencia en servicios ambientales en Costa Rica [From Rio to Rio + Lessons from 20 years of experience in environmental services in Costa Rica]," MPRA Paper 43649, University Library of Munich, Germany.
    12. Cyrus Samii & Matthew Lisiecki & Parashar Kulkarni & Laura Paler & Larry Chavis, 2014. "Effects of decentralized forest management (DFM) on deforestation and poverty in low‐ and middle‐income countries: a systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 10(1), pages 1-88.
    13. Melania Michetti & Matteo Zampieri, 2014. "Climate–Human–Land Interactions: A Review of Major Modelling Approaches," Land, MDPI, vol. 3(3), pages 1-41, July.

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    More about this item

    Keywords

    Resource /Energy Economics and Policy;

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices

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