Development and biodiversity conservation in Sub-Saharan Africa: A spatial analysis
AbstractA better understanding of the relationship between economic development and biodiversity loss is of great relevance, given the current rapid extinction of species along with challenges born from the context of economic development in poor countries. The purpose of the current study is to provide a sound analysis, within the framework of an Environmental Kuznets Curve, of the relationship between economic development and pressure on biodiversity. Drawing on the most up-to-date data on threatened species from 48 sub-Saharan African countries, we used Maximum-likelihood and generalized spatial two-stage least-squares estimators to account for spatial-autoregressiveness in the dependent variable, as well as in the explanatory variables and in the disturbances of the models. We find evidence that supports an inverted U-shaped relationship between development and biodiversity imperilment, measured as the percent of threatened bird species. The results also reveal some species-level differences in the biodiversity-development relationship, since the Environmental Kuznets Curve hypothesis doesn't hold for mammals. This analysis contributes to the literature by partially challenging the paradigm of a strictly negative relationship between biodiversity and development in a developing countries context.
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Date of creation: 11 Mar 2013
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biodiversity; species imperilment; Spatial econometrics; Cliff-Ord model; spatial Durbin model;
Other versions of this item:
- Johanna CHOUMERT & Ariane Manuela AMIN, 2013. "Development and biodiversity conservation in Sub-Saharan Africa: A spatial analysis," Working Papers 201302, CERDI.
- O13 - Economic Development, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
- N17 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Africa; Oceania
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
This paper has been announced in the following NEP Reports:
- NEP-AGR-2013-03-23 (Agricultural Economics)
- NEP-ALL-2013-03-23 (All new papers)
- NEP-ENV-2013-03-23 (Environmental Economics)
- NEP-GEO-2013-03-23 (Economic Geography)
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