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Spatiotemporal Heterogeneity of Total Factor Productivity of Grain in the Yangtze River Delta, China

Author

Listed:
  • Fenghua Wen

    (School of Government, Central University of Finance and Economics, Beijing 100081, China)

  • Donghan Lyu

    (School of Government, Central University of Finance and Economics, Beijing 100081, China)

  • Daohan Huang

    (School of Urban Economics and Management, Beijing University of Civil Engineering and Architecture, Beijing 100041, China)

Abstract

The total factor productivity of grain (TFPG) is critically important to secure food production, while its spatiotemporal heterogeneity in the urbanized area is largely ignored. Selecting 41 cities in the Yangtze River Delta, this study uses the data envelopment analysis (DEA) Malmquist index method to measure the TFPG in each city from 2012 to 2020 based on panel data, and explores the driving factors of the spatiotemporal evolution of the TFPG with the geographically and temporally weighted regression model. The results indicate the following: (1) Both the TFPG and technological progress varies in the same direction, indicating that technological progress dominates the TFPG in the studied region. The changes in technical efficiency, pure technical efficiency, and scale efficiency are relatively stable. (2) The spatial distribution of the TFPG shows a decentralized trend, with a pattern of high in the north and east areas and low in the south and west areas. (3) The driving factors, such as the development level of the grain economy, the amount of fertilizer used per unit area, and gross domestic product (GDP) per capita, have a restraining effect on the improvement of the TFPG, in which the amount of fertilizer used per unit area is the critical factor. (4) The scale of per capita labor operation, the proportion of the grain-growing population, and output of grain per hectare exert a promoting effect on the TFPG, in which both the proportion of the grain-growing population and output of grain per hectare are the critical factors. Finally, improving the efficiency of fertilizer use, expanding the production scale of the grain planting industry, and increasing the output of grain per hectare are proposed to improve the TFGP in the Yangtze River Delta.

Suggested Citation

  • Fenghua Wen & Donghan Lyu & Daohan Huang, 2023. "Spatiotemporal Heterogeneity of Total Factor Productivity of Grain in the Yangtze River Delta, China," Land, MDPI, vol. 12(8), pages 1-17, July.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1476-:d:1201667
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    References listed on IDEAS

    as
    1. Sheng, Yu & Chancellor, Will, 2019. "Exploring the relationship between farm size and productivity: Evidence from the Australian grains industry," Food Policy, Elsevier, vol. 84(C), pages 196-204.
    2. Bayarsaihan, T. & Coelli, T. J., 2003. "Productivity growth in pre-1990 Mongolian agriculture: spiralling disaster or emerging success?," Agricultural Economics, Blackwell, vol. 28(2), pages 121-137, March.
    3. Huaxi Yuan & Yidai Feng & Jay Lee & Haimeng Liu, 2020. "The Spatio-Temporal Heterogeneity of Financial Agglomeration on Green Development in China Cities Using GTWR Model," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    4. 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.
    5. Suk-won Choi & Brent Sohngen & Steven Rose & Tom Hertel & Alla Golub, 2011. "Total Factor Productivity Change in Agriculture and Emissions from Deforestation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 349-355.
    6. Dehua Zhang & Haiqing Wang & Sha Lou & Shen Zhong, 2021. "Research on grain production efficiency in China’s main grain producing areas from the perspective of financial support," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-16, March.
    7. Zhihao Zheng & Shen Cheng & Shida R. Henneberry, 2023. "Total factor productivity change in China's grain production sector: 1980–2018," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(1), pages 38-55, January.
    8. Key, Nigel, 2019. "Farm size and productivity growth in the United States Corn Belt," Food Policy, Elsevier, vol. 84(C), pages 186-195.
    9. Eric Njuki & Boris E Bravo-Ureta & Christopher J O’Donnell, 2018. "A new look at the decomposition of agricultural productivity growth incorporating weather effects," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    10. Bingfei Bao & Shengtian Jin & Lilian Li & Kaifeng Duan & Xiaomei Gong, 2021. "Analysis of Green Total Factor Productivity of Grain and Its Dynamic Distribution: Evidence from Poyang Lake Basin, China," Agriculture, MDPI, vol. 12(1), pages 1-16, December.
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