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On the economics of tropical deforestation: Carbon credit markets and national policies

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  • Barua, Sepul K.
  • Lintunen, Jussi
  • Uusivuori, Jussi
  • Kuuluvainen, Jari

Abstract

This paper contributes to the economics of deforestation by presenting a formal, infinite horizon dynamic model describing the use of tropical forest resources. As an alternative to clearing the forest, a landowner has the option to sell it to an international carbon crediting program. The model is used to investigate corrective incentive programs needed to ensure a socially optimal level of forest resources. Optimal conditions for a land income tax and carbon compensation rate are derived. The paper shows that the optimality of national carbon compensation policies crucially depends on the land income taxation. In the presence of an optimal land income tax-subsidy program, the government may need to pass on to the landowners the very carbon compensation that it receives from the international community to ensure a socially optimal tropical forest stock. However, the government may need to over-transfer or under-transfer the carbon compensation depending on whether the pre-existing land income tax is below or above the optimal level, respectively. This suggests that the pre-existing sub-optimality in land income taxation in a given country can be corrected by adjusting the carbon compensation. Therefore, a carbon compensation scheme should take into account existing national policies that affect forest clearing.

Suggested Citation

  • Barua, Sepul K. & Lintunen, Jussi & Uusivuori, Jussi & Kuuluvainen, Jari, 2014. "On the economics of tropical deforestation: Carbon credit markets and national policies," Forest Policy and Economics, Elsevier, vol. 47(C), pages 36-45.
  • Handle: RePEc:eee:forpol:v:47:y:2014:i:c:p:36-45
    DOI: 10.1016/j.forpol.2013.07.001
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    2. Matthias Kalkuhl & Ottmar Edenhofer, 2017. "Ramsey meets Thünen: the impact of land taxes on economic development and land conservation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(2), pages 350-380, April.
    3. Nguyen, Trung Thanh & Nghiem, Nhung, 2016. "Optimal forest rotation for carbon sequestration and biodiversity conservation by farm income levels," Forest Policy and Economics, Elsevier, vol. 73(C), pages 185-194.
    4. Huangling Gu & Yan Liu & Hao Xia & Zilong Li & Liyuan Huang & Yanjia Zeng, 2023. "Temporal and Spatial Differences in CO 2 Equivalent Emissions and Carbon Compensation Caused by Land Use Changes and Industrial Development in Hunan Province," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    5. Kalkuhl, Matthias & Fernandez Milan, Blanca & Schwerhoff, Gregor & Jakob, Michael & Hahnen, Maren & Creutzig, Felix, 2018. "Can land taxes foster sustainable development? An assessment of fiscal, distributional and implementation issues," Land Use Policy, Elsevier, vol. 78(C), pages 338-352.
    6. Guadalupe, Vicente & Sotta, Eleneide Doff & Santos, Valdenira Ferreira & Gonçalves Aguiar, Leonardo José & Vieira, Marta & de Oliveira, Cinthia Pereira & Nascimento Siqueira, João Vitor, 2018. "REDD+ implementation in a high forest low deforestation area: Constraints on monitoring forest carbon emissions," Land Use Policy, Elsevier, vol. 76(C), pages 414-421.

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