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A tale of two countries: Spatial and temporal patterns of rice productivity in China and Brazil

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  • You, Liangzhi

Abstract

"This paper examines differences in the spatial and temporal variations of rice yields in China and Brazil. Our analysis indicates that, in China, rice yields have converged over time and rice production has become increasingly homogeneous. In contrast, rice yields in Brazil have diverged over time, primarily due to variations in upland rice yields. Three hypothetical explanations may account for the different behaviors of rice yields in Brazil and China, namely: 1) differences in production systems (i.e. irrigated in China vs. upland in Brazil); 2) changes in rainfall patterns; and 3) bias in agricultural research and development (R&D) towards irrigated rice. Our empirical analysis supports the first two hypotheses by establishing that: 1) upland rice shows much more variation in yields compared to irrigated rice; and 2) changing rainfall patterns have primarily affected upland rice. We also provide evidence of the bias towards irrigated systems by looking at the patterns of varietal release." from Author's Abstract

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Bibliographic Info

Paper provided by International Food Policy Research Institute (IFPRI) in its series IFPRI discussion papers with number 758.

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Date of creation: 2008
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Handle: RePEc:fpr:ifprid:758

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Keywords: Rice productivity; Spatial convergence; Technology spillover; Agricultural research; Research and development;

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  1. Fan, Shenggen & Hazell, P. B. R., 1999. "Are returns to public investment lower in less-favored rural areas?: an empirical analysis of India," EPTD discussion papers 43, International Food Policy Research Institute (IFPRI).
  2. Stanley Wood & Liangzhi You & Xiaobo Zhang, 2004. "Spatial Patterns of Crop Yields in Latin America and the Caribbean," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 41(124), pages 361-381.
  3. Timo Goeschl & Timothy Swanson, 2000. "Genetic use restriction technologies and the diffusion of yield gains to developing countries," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(8), pages 1159-1178.
  4. Philip G. Pardey & Julian M. Alston & Connie Chan-Kang & Eduardo C. Magalh�es & Stephen A. Vosti, 2006. "International and Institutional R&D Spillovers: Attribution of Benefits among Sources for Brazil's New Crop Varieties," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 104-123.
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  11. You, Liangzhi & Rosegrant, Mark W. & Fang, Cheng & Wood, Stanley, 2005. "Impact of global warming on Chinese wheat productivity:," EPTD discussion papers 143, International Food Policy Research Institute (IFPRI).
  12. Cabrer-Borras, Bernardi & Serrano-Domingo, Guadalupe, 2007. "Innovation and R&D spillover effects in Spanish regions: A spatial approach," Research Policy, Elsevier, vol. 36(9), pages 1357-1371, November.
  13. Rosamond Naylor & Walter Falcon & Nikolas Wada & Daniel Rochberg, 2002. "Using El Nino-Southern Oscillation Climate Data To Improve Food Policy Planning In Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 38(1), pages 75-91.
  14. Shorrocks, A F, 1980. "The Class of Additively Decomposable Inequality Measures," Econometrica, Econometric Society, vol. 48(3), pages 613-25, April.
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