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Comparison of Total Factor Productivity of Rice in China and Japan

Author

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  • Liting Gao

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Qianhui Gao

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Marcin Lorenc

    (Department of Management and Production Engineering, Opole University of Technology, 45-758 Opole, Poland)

Abstract

Because rice is one of China’s staple foods, studying the total factor productivity (TFP) of rice is of great importance for China’s food security. There are many similarities between rice production in China and Japan. Japan has achieved an effective supply of high-quality rice under the constraints of insufficient production resources and limited environmental capacity. In this paper, we use the DEA Malmquist index method to comparatively analyze the production efficiency of the rice industry in China and Japan, as well as its trends and changes. The contribution of each decomposition index is analyzed by using grey correlation, and kernel density estimation is used to analyze the dynamic evolution of rice productivity in both countries. The empirical results show that rice TFP in Japan is higher than that in China. Technological progress is an important driver of TFP and is the main reason for the difference in rice TFP between the two countries. The concentration of rice TFP distribution in China is decreasing, and regional differences are increasing, whereas in Japan, the opposite trend is observed, with the proportion of areas of high TFP increasing in both countries.

Suggested Citation

  • Liting Gao & Qianhui Gao & Marcin Lorenc, 2022. "Comparison of Total Factor Productivity of Rice in China and Japan," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7407-:d:840931
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    References listed on IDEAS

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    1. Sha, Wenbiao & Chen, Fengbo & Mishra, Ashok K., 2019. "Adoption of direct seeded rice, land use and enterprise income: Evidence from Chinese rice producers," Land Use Policy, Elsevier, vol. 83(C), pages 564-570.
    2. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    3. Hai-Dang Nguyen & Thanh Ngo & Tu DQ Le & Huong Ho & Hai T.H. Nguyen, 2019. "The Role of Knowledge in Sustainable Agriculture: Evidence from Rice Farms’ Technical Efficiency in Hanoi, Vietnam," Sustainability, MDPI, vol. 11(9), pages 1-10, April.
    4. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    5. Md Kamrul Hossain & Anton Abdulbasah Kamil & Md Azizul Baten & Adli Mustafa, 2012. "Stochastic Frontier Approach and Data Envelopment Analysis to Total Factor Productivity and Efficiency Measurement of Bangladeshi Rice," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-9, October.
    6. Devkota, Krishna Prasad & Devkota, Mina & Paudel, Gokul Prasad & McDonald, Andrew James, 2021. "Coupling landscape-scale diagnostics surveys, on-farm experiments, and simulation to identify entry points for sustainably closing rice yield gaps in Nepal," Agricultural Systems, Elsevier, vol. 192(C).
    7. Muhammad Umer Arshad & Yuanfeng Zhao & Omer Hanif & Faiza Fatima, 2022. "Evolution of Overall Cotton Production and Its Determinants: Implications for Developing Countries Using Pakistan Case," Sustainability, MDPI, vol. 14(2), pages 1-17, January.
    8. Dan Pan, 2014. "The Impact of Agricultural Extension on Farmer Nutrient Management Behavior in Chinese Rice Production: A Household-Level Analysis," Sustainability, MDPI, vol. 6(10), pages 1-22, September.
    9. Katsunobu Kondo & Yasutaka Yamamoto & Jun Sasaki, 2017. "Total Factor Productivity of the Japanese Rice Industry," Asian Economic Journal, East Asian Economic Association, vol. 31(4), pages 331-353, December.
    10. Emmanuel Donkor & Nicolette Matthews & Abiodun A. Ogundeji, 2018. "Efficiency of Rice Farming in Ghana: Policy Implications for Rice Sector Development," African Development Review, African Development Bank, vol. 30(2), pages 149-161, June.
    11. Lin, Bin & Wang, Xiaoxi & Jin, Songqing & Yang, Wanjiang & Li, Houjian, 2022. "Impacts of cooperative membership on rice productivity: Evidence from China," World Development, Elsevier, vol. 150(C).
    12. Chieko Umetsu & Thamana Lekprichakul & Ujjayant Chakravorty, 2003. "Efficiency and Technical Change in the Philippine Rice Sector: A Malmquist Total Factor Productivity Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 943-963.
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