IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i11p1895-d952987.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/11/1895/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/11/1895/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Chen, Shuo & Lan, Xiaohuan, 2020. "Tractor vs. animal: Rural reforms and technology adoption in China," Journal of Development Economics, Elsevier, vol. 147(C).
    5. 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.
    6. 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.
    7. Chaoran Chen, 2017. "Untitled Land, Occupational Choice, and Agricultural Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 91-121, October.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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).
    18. 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.
    19. 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.
    20. 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.
    21. 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).
    22. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wangda Liao & Fusheng Zeng & Meseret Chanieabate, 2022. "Mechanization of Small-Scale Agriculture in China: Lessons for Enhancing Smallholder Access to Agricultural Machinery," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    2. Hongyun Zheng & Wanglin Ma, 2021. "The role of resource reallocation in promoting total factor productivity growth: Insights from China’s agricultural sector," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2350-2371, November.
    3. Ali, Daniel Ayalew & Deininger, Klaus, 2021. "Does title increase large farm productivity? Institutional determinants of large land-based investments' performance in Zambia," 2021 Conference, August 17-31, 2021, Virtual 315328, International Association of Agricultural Economists.
    4. Ali, Daniel Ayalew & Deininger, Klaus, 2022. "Institutional determinants of large land-based investments’ performance in Zambia: Does title enhance productivity and structural transformation?," World Development, Elsevier, vol. 157(C).
    5. Aragón, Fernando M. & Restuccia, Diego & Rud, Juan Pablo, 2022. "Are small farms really more productive than large farms?," Food Policy, Elsevier, vol. 106(C).
    6. Gottlieb, Charles & Grobovšek, Jan, 2019. "Communal land and agricultural productivity," Journal of Development Economics, Elsevier, vol. 138(C), pages 135-152.
    7. Marijn A. Bolhuis & Swapnika R. Rachapalli & Diego Restuccia, 2021. "Misallocation in Indian Agriculture," NBER Working Papers 29363, National Bureau of Economic Research, Inc.
    8. Tasso Adamopoulos & Loren Brandt & Chaoran Chen & Diego Restuccia & Xiaoyun Wei, 2022. "Land Security and Mobility Frictions," Working Papers tecipa-717, University of Toronto, Department of Economics.
    9. Obayelu, Abiodun Elijah & Adeoti, John Olatunji & Dontsop, Nguezet Paul Martins, 2017. "Technical Efficiency And Impact Evaluation Differentials Between The Adopters And Non-Adopters Of Nerica In The Six Baseline States In Nigeria," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 20(1), April.
    10. Chaoran Chen & Diego Restuccia & Raül Santaeulàlia-Llopis, 2023. "Land Misallocation and Productivity," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(2), pages 441-465, April.
    11. Britos, Braulio & Hernandez, Manuel A. & Robles, Miguel & Trupkin, Danilo R., 2022. "Land market distortions and aggregate agricultural productivity: Evidence from Guatemala," Journal of Development Economics, Elsevier, vol. 155(C).
    12. Chen, Zhuo & Huffman, Wallace E. & Rozelle, Scott, 2009. "Farm technology and technical efficiency: Evidence from four regions in China," China Economic Review, Elsevier, vol. 20(2), pages 153-161, June.
    13. Chen, Chaoran, 2020. "Technology adoption, capital deepening, and international productivity differences," Journal of Development Economics, Elsevier, vol. 143(C).
    14. beg, Sabrin, 2019. "Computerization and Development: Formalizing Property Rights and its Impact on Land and Labor Allocation," MPRA Paper 96110, University Library of Munich, Germany.
    15. Yiru Wang & Honggang Lu & Yuge Chen & Peiwen Yang & Xiangbo Cheng & Fangting Xie, 2023. "The Impact of Farmland Management Rights Mortgage Loan on the Agri-Food Industrial Agglomeration: Case of Hubei Province," Land, MDPI, vol. 12(7), pages 1-17, July.
    16. Hernandez, M. & Britos, B. & Robles, M. & Trupkin, D., 2018. "Land market distortions: Theory and evidence from Guatemala," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277031, International Association of Agricultural Economists.
    17. Henry, Michael & Kneller, Richard & Milner, Chris, 2009. "Trade, technology transfer and national efficiency in developing countries," European Economic Review, Elsevier, vol. 53(2), pages 237-254, February.
    18. Qian Liu & Yongmu Jiang & Carl‐Johan Lagerkvist & Wei Huang, 2023. "Extension services and the technical efficiency of crop‐specific farms in China," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 436-459, March.
    19. Karayalcin, Cem & Pintea, Mihaela, 2022. "The role of productivity, transportation costs, and barriers to intersectoral mobility in structural transformation," Economic Modelling, Elsevier, vol. 108(C).
    20. Ali M. Oumer & Michael Burton & Atakelty Hailu & Amin Mugera, 2020. "Sustainable agricultural intensification practices and cost efficiency in smallholder maize farms: Evidence from Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 841-856, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:11:p:1895-:d:952987. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.