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Analyzing Agricultural Agglomeration in China

Author

Listed:
  • Erling Li

    (Collaborative Innovation Center on Yellow River Civilization of Henan Province, Centre for Coordinative Development in Zhongyuan Economic Region & Institute for Regional Development and Planning, Henan University, Kaifeng 475004, China)

  • Ken Coates

    (Johnson Shoyama Graduate School of Public Policy, University of Saskatchewan, Saskatoon, SK S7N 5B8, Canada)

  • Xiaojian Li

    (Centre for Coordinative Development in Zhongyuan Economic Region, Henan University of Economics and Law, Zhengzhou 450000, China)

  • Xinyue Ye

    (Department of Geography, Kent State University, Kent, OH 44242, USA)

  • Mark Leipnik

    (Department of Geography & Geology, Sam Houston State University, Huntsville, TX 77340, USA)

Abstract

There has been little scholarly research on Chinese agriculture’s geographic pattern of agglomeration and its evolutionary mechanisms, which are essential to sustainable development in China. By calculating the barycenter coordinates, the Gini coefficient, spatial autocorrelation and specialization indices for 11 crops during 1981–2012, we analyze the evolutionary pattern and mechanisms of agricultural agglomeration. We argue that the degree of spatial concentration of Chinese planting has been gradually increasing and that regional specialization and diversification have progressively been strengthened. Furthermore, Chinese crop production is moving from the eastern provinces to the central and western provinces. This is in contrast to Chinese manufacturing growth which has continued to be concentrated in the coastal and southeastern regions. In Northeast China, the Sanjiang and Songnen plains have become agricultural clustering regions, and the earlier domination of aquaculture and rice production in Southeast China has gradually decreased. In summary, this paper provides a political economy framework for understanding the regionalization of Chinese agriculture, focusing on the interaction among the objectives, decisionmaking behavior, path dependencies and spatial effects.

Suggested Citation

  • Erling Li & Ken Coates & Xiaojian Li & Xinyue Ye & Mark Leipnik, 2017. "Analyzing Agricultural Agglomeration in China," Sustainability, MDPI, vol. 9(2), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:2:p:313-:d:90831
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    References listed on IDEAS

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    2. 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.
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    4. Yin, Fang & Sun, Zhanli & You, Liangzhi & Müller, Daniel, 2018. "Increasing concentration of major crops in China from 1980 to 2011," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(5), pages 480-493.
    5. Zhanping Hu & Qian Forrest Zhang, 2022. "The Resilience of Diversified Clusters: Reconfiguring Commodity Networks in Rural China during the COVID-19 Pandemic," Land, MDPI, vol. 11(3), pages 1-17, March.
    6. Pei Xu & Zehu Jin & Huan Tang, 2022. "Influence Paths and Spillover Effects of Agricultural Agglomeration on Agricultural Green Development," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    7. Hanchu Liu & Jie Fan & Kan Zhou, 2018. "An Empirical Study on Spatial–Temporal Dynamics and Influencing Factors of Tea Production in China," Sustainability, MDPI, vol. 10(9), pages 1-15, August.
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