A framework for ex-ante analysis of public investment in forest-based development: An application to the Brazilian Amazon
This paper develops a framework for evaluating the ex-ante economic impacts of public investments in forest-based development. Computable General Equilibrium (CGE) models provide a powerful approach for evaluating public investments in sectors with strong inter-sectoral linkages and for capturing dy...
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Veröffentlicht in: | Forest policy and economics 2016-12, Vol.73, p.204-214 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This paper develops a framework for evaluating the ex-ante economic impacts of public investments in forest-based development. Computable General Equilibrium (CGE) models provide a powerful approach for evaluating public investments in sectors with strong inter-sectoral linkages and for capturing dynamic economy-wide effects. Results of CGE analysis may be analyzed in a social cost-benefit framework typically used by the public sector and multilateral development banks to assess investment viability and trade-offs between alternatives. In this paper, a dynamic CGE is developed to evaluate the impact of a development loan to promote natural forests, forest plantations and agroforestry development in the Amazonian state of Acre, Brazil. Results of the analysis demonstrate the positive impact the expansion forest-based development activities generates and the potential the approach has for comprehensive analysis of the direct, indirect and induced benefits of public forest sector investment.
•This paper develops a framework for evaluating impacts of public investments in forest-based development.•The approach enables quantification of direct, indirect and induced benefits of forest sector investment.•Results generated with a general equilibrium model are analyzed in a cost benefit analysis.•The approach is applied to a US$187.4 million investment in Acre, Brazil.•The analysis results in a net present value of USD$1.9 M with positive income and employment effects. |
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ISSN: | 1389-9341 1872-7050 |
DOI: | 10.1016/j.forpol.2016.09.008 |