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The total factor productivity in China and India: new measures and approaches

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Author Info

  • Alejandro Nin Pratt
  • Bingxin Yu
  • Shenggen Fan

Abstract

Purpose – This paper aims to measure and compare agricultural total factor productivity (TFP) growth in China and India and relates TFP growth in each country to policy milestones and investment in agricultural research. Design/methodology/approach – TFP is measured using a non-parametric Malmquist index which allows the decomposition of TFP growth into its components: efficiency and technical change. Findings – Comparing TFP growth in China and India it is found that efficiency improvement played a dominant role in promoting TFP growth in China, while technical change has also contributed positively. In India, the major source of productivity improvement came from technical change, as efficiency barely changed over the last three decades, which explains lower TFP growth than in China. Agricultural research has significantly contributed to improve agricultural productivity in both China and India. Even today, returns to agricultural R&D investments are very high, with benefit/cost ratios ranging from 20.7 to 9.6 in China and from 29.6 to 14.8 in India. Originality/value – The applied methodology and the comparison between TFP growth patterns contribute to a better understanding of the consequences that the different approaches to agricultural reform followed by China and India had on the performance of agriculture in both countries.

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Bibliographic Info

Article provided by Emerald Group Publishing in its journal China Agricultural Economic Review.

Volume (Year): 1 (2009)
Issue (Month): 1 (February)
Pages: 9-22

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Handle: RePEc:eme:caerpp:v:1:y:2009:i:1:p:9-22

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Web page: http://www.emeraldinsight.com

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Related research

Keywords: China; Demand; Elasticity; Food industry; Income; Quality;

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Cited by:
  1. Raabe, Katharina, 2011. "The Dynamics of Service Delivery and Agricultural Development in India – A District Level Analysis –," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114783, European Association of Agricultural Economists.
  2. Wang, Sun Ling & Ball, V. Eldon & Fulginiti, Lilyan E. & Plastina, Alejandro S., 2012. "Benefits of Public R&D in U.S. Agriculture: Spill-Ins, Extension, and Roads," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126368, International Association of Agricultural Economists.
  3. Tong, Haizhi & Fulginiti, Lilyan E. & Sesmero, Juan P., 2009. "Chinese Regional Agricultural Productivity: 1994-2005," 2009 Conference, August 16-22, 2009, Beijing, China 51784, International Association of Agricultural Economists.
  4. Yu, Bingxin & Liao, Xiyuan & Shen, Hongfang, 2013. "Parametric decomposition of the malmquist index in an output-oriented distance function: Productivity in Chinese agriculture," IFPRI discussion papers 1244, International Food Policy Research Institute (IFPRI).
  5. Alejandro Nin-Pratt & Bingxin Yu & Shenggen Fan, 2010. "Comparisons of agricultural productivity growth in China and India," Journal of Productivity Analysis, Springer, vol. 33(3), pages 209-223, June.
  6. Ziv Chinzara & Radhika Lahiri, 2012. "Financial Intermediation and Costly Technology Adoption under Uncertainty: A Political Economy Perspective," School of Economics and Finance Discussion Papers and Working Papers Series 295, School of Economics and Finance, Queensland University of Technology.

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