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Assessment and Comparison of Agricultural Technology Development under Different Farmland Management Modes: A Case Study of Grain Production, China

Author

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  • Hui Luo

    (School of Economics and Management (School of Co-Operatives), Qingdao Agricultural University, Qingdao 266109, China)

  • Zhaomin Hu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xiuping Hao

    (School of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)

  • Nawab Khan

    (College of Management, Sichuan Agricultural University, Chengdu 611100, China)

  • Xiaojie Liu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Agricultural technological change plays a crucial role in food security and agricultural development. In the case of considering economic risks and technical risk tolerance, farmers will use different technologies to match production factors to achieve the optimal production state. Therefore, under different farmland management modes, farms show different characteristics of technological progress. This paper attempts to compare and analyze agricultural technology development under different farmland management modes: the unified management mode of collective organizations (UMCO) and the decentralized management mode of contracted families (DMCF). The Stochastic Frontier Analysis (SFA) of the translog average production function was applied to the 24 farms of the Hulunbuir Agricultural Reclamation Group, of which 11 farms in the western part of the Greater Khingan Mountains (Western Farms) were managed by the DMCF, and the other 13 farms in the eastern part of the Greater Khingan Mountains (Eastern Farms) were managed by the UMCO. The results are as follows: (1) without considering the resource allocation efficiency, from 2000 to 2019, the generalized technological progress rate (TFPG) of the 13 Eastern Farms (7.65%) was higher than that of the Western Farms (2.25%). (2) The returns to scale (SRC) of the Western Farms was higher than that of the Eastern Farms. (3) The technological efficiency change rate (TEC) and the technical progress (TP) of the Eastern Farms is higher than that of the Western Farms. It is recommended that farms strengthen the construction of their infrastructure and service systems, resist natural disasters, reduce the disaster’s impact on technological progress, give full play to the overall planning advantages of the collective organizations, improve the product allocation efficiency factors, and create connotative profit points.

Suggested Citation

  • Hui Luo & Zhaomin Hu & Xiuping Hao & Nawab Khan & Xiaojie Liu, 2022. "Assessment and Comparison of Agricultural Technology Development under Different Farmland Management Modes: A Case Study of Grain Production, China," Land, MDPI, vol. 11(11), pages 1-24, October.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:11:p:1895-:d:952987
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    1. Wang, Xiaobing & Yamauchi, Futoshi & Huang, Jikun & Rozelle, Scott, 2020. "What constrains mechanization in Chinese agriculture? Role of farm size and fragmentation," China Economic Review, Elsevier, vol. 62(C).
    2. Chaoran Chen & Diego Restuccia & Raul Santaeulalia-Llopis, 2022. "The Effects of Land Markets on Resource Allocation and Agricultural Productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 41-54, July.
    3. Yanling Peng & Yuansheng Jiang & Yu Hong, 2022. "Heterogeneous Preferences for Selecting Attributes of Farmland Management Right Mortgages in Western China: A Demand Perspective," Land, MDPI, vol. 11(8), pages 1-14, July.
    4. Subal Kumbhakar & M. Denny & M. Fuss, 2000. "Estimation and decomposition of productivity change when production is not efficient: a paneldata approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 312-320.
    5. Chaoran Chen, 2017. "Untitled Land, Occupational Choice, and Agricultural Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 91-121, October.
    6. Peng, Yanling & Ren, Yanjun & Zhong, Yu & Jiang, Yuansheng, 2022. "Farmers’ Heterogeneous Preferences for Selecting Attributes of Farmland Management Right Mortgages: Evidence from Western China," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322408, Agricultural and Applied Economics Association.
    7. Xiaoheng Zhang & Xiaohua Yu & Xu Tian & Xianhui Geng & Yingheng Zhou, 2019. "Farm size, inefficiency, and rice production cost in China," Journal of Productivity Analysis, Springer, vol. 52(1), pages 57-68, December.
    8. Wenhao Song & Chunhui Ye, 2022. "Impact of the Cultivated-Land-Management Scale on Fertilizer Reduction—Empirical Evidence from the Countryside of China," Land, MDPI, vol. 11(8), pages 1-15, July.
    9. Nolte, Kerstin & Ostermeier, Martin, 2017. "Labour Market Effects of Large-Scale Agricultural Investment: Conceptual Considerations and Estimated Employment Effects," World Development, Elsevier, vol. 98(C), pages 430-446.
    10. Stein T. Holden & John Quiggin, 2017. "Climate risk and state-contingent technology adoption: shocks, drought tolerance and preferences," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(2), pages 285-308.
    11. Chen, Shuo & Lan, Xiaohuan, 2020. "Tractor vs. animal: Rural reforms and technology adoption in China," Journal of Development Economics, Elsevier, vol. 147(C).
    12. Xiaojuan Zhang & Zhengang Zhang, 2020. "How Do Smart Villages Become a Way to Achieve Sustainable Development in Rural Areas? Smart Village Planning and Practices in China," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    13. Wang, Yang & Dong, Fengxia & Xu, Jiabin, 2018. "Production Efficiency of Scaled-up Agricultural Operations in China: An Empirical Analysis," 2018 Annual Meeting, August 5-7, Washington, D.C. 274344, Agricultural and Applied Economics Association.
    14. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    15. Jingdong Li & Qingning Lin, 2022. "Can the Adjustment of China’s Grain Purchase and Storage Policy Improve Its Green Productivity?," IJERPH, MDPI, vol. 19(10), pages 1-24, May.
    16. Wencheng Li & Lei Wang & Qi Wan & Weijia You & Shaowen Zhang, 2022. "A Configurational Analysis of Family Farm Management Efficiency: Evidence from China," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    17. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Rural land system reforms in China: History, issues, measures and prospects," Land Use Policy, Elsevier, vol. 91(C).
    18. Rakotoarisoa, Manitra A., 2011. "The impact of agricultural policy distortions on the productivity gap: Evidence from rice production," Food Policy, Elsevier, vol. 36(2), pages 147-157, April.
    19. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    20. Wallace E. Huffman, 1977. "Allocative Efficiency: The Role of Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(1), pages 59-79.
    21. Meilin Ma & Jessie Lin & Richard J. Sexton, 2022. "The Transition from Small to Large Farms in Developing Economies: A Welfare Analysis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 111-133, January.
    22. Furong Chen & Yifu Zhao, 2019. "Determinants and Differences of Grain Production Efficiency Between Main and Non-Main Producing Area in China," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    23. Madhu Khanna & Ruiqing Miao, 2022. "Inducing the adoption of emerging technologies for sustainable intensification of food and renewable energy production: insights from applied economics," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 1-23, January.
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