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Causes of Deforestation and Policies for Reduced Emissions (REDD+): A Cross-Country Analysis

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  • Richard J Culas

Abstract

Deforestation is transformation of forestland for various land uses. Policies aimed at Reducing Emissions from Deforestation and Forest Degradation (REDD+) can provide a way for tackling global warming and climate change. A spatial model of deforestation is considered for designing effective REDD+ policies in view of internalizing the external costs of deforestation. The causes of deforestation can be classified at different levels. In this study, the causes are considered at two levels: the direct (endogenous) and the indirect (exogenous) causes. An econometric model, recursive in nature, is estimated in two stages for analyzing the interactions between the direct and the indirect causes. At the first stage, the direct causes are regressed on the indirect causes by Seemingly Unrelated Regression (SUR) method to account for the correlations between the direct causes. At the second stage, the SUR estimates of the direct causes are used for the regression of a deforestation equation. The results are discussed in relation to Asian, African and Latin American regions to provide an understanding of the mechanism for deforestation process at two levels. The spatial model presented, along with the regression results, can effectively provide guidance for designing REDD+ policies.

Suggested Citation

  • Richard J Culas, 2014. "Causes of Deforestation and Policies for Reduced Emissions (REDD+): A Cross-Country Analysis," The IUP Journal of Applied Economics, IUP Publications, vol. 0(4), pages 7-27, October.
    • Handle: RePEc:icf:icfjae:v:13:y:2014:i:4:p:7-27
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    Cited by:

    1. Noel Perceval Assogba & Daowei Zhang, 2020. "An Economic Analysis of Tropical Forest Resource Conservation in a Protected Area," Sustainability, MDPI, vol. 12(14), pages 1-12, July.
    2. Assogba, N.P. & Zhang, D., 2018. "Factors Influencing the Conservation of Tropical Forest Resources in West Africa," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277335, International Association of Agricultural Economists.

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