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Climate, International Trade and Crop Biodiversity in West Africa Countries

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  • Aboua, Christian

Abstract

The aim of this study is to analyze the impact of climate change and international trade on crop biodiversity in West Africa countries. For several years the problem of food security arising in these countries. Climate change (temperature, rainfall), international trade through trade policies that stimulate trade flow, lead to high conversion of land allocated to the production of food for the benefit of agricultural raw materials. This study focuses on the West Africa countries. We use data from FAO, WDI, UNCTAD, CRU data and GPPC database to estimate the impact of climate change and international trade on crop biodiversity through an econometric regression using dynamic panel data. The results find evidence that climate change and trade influence negatively crop diversity. Also find evidence that irrigation and fertilizers use are best way for conservation of crop diversity.

Suggested Citation

  • Aboua, Christian, 2013. "Climate, International Trade and Crop Biodiversity in West Africa Countries," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160524, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae13:160524
    DOI: 10.22004/ag.econ.160524
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    1. Ward, Patrick S. & Florax, Raymond J.G.M. & Flores-Lagunes, Alfonso, 2010. "Agricultural Productivity and Anticipated Climate Change in Sub-Saharan Africa: A Spatial Sample Selection Model," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61635, Agricultural and Applied Economics Association.
    2. Michel Loreau & Andy Hector, 2001. "Partitioning selection and complementarity in biodiversity experiments," Nature, Nature, vol. 412(6842), pages 72-76, July.
    3. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    4. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    5. Benin, S. & Smale, M. & Pender, J. & Gebremedhin, B. & Ehui, S., 2004. "The economic determinants of cereal crop diversity on farms in the Ethiopian highlands," Agricultural Economics, Blackwell, vol. 31(2-3), pages 197-208, December.
    6. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    7. Dinar, A. & Mendelsohn, R. & Evenson, R. & Parikh, J. & Sanghi, A. & Kumar, K. & McKinsey, J. & Lonergen, S., 1998. "Measuring the Impact of CLimate Change on Indian Agriculture," Papers 402, World Bank - Technical Papers.
    8. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    9. Oecd, 2009. "Climate Change and Africa," OECD Journal: General Papers, OECD Publishing, vol. 2009(1), pages 5-35.
    10. Roy Darwin, 1999. "The Impact of Global Warming on Agriculture: A Ricardian Analysis: Comment," American Economic Review, American Economic Association, vol. 89(4), pages 1049-1052, September.
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