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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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    Cited by:

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    5. Evagelia Koutridi & Dimitrios Tsiotas & Olga Christopoulou, 2023. "Examining the Spatial Effect of “Smartness” on the Relationship between Agriculture and Regional Development: The Case of Greece," Land, MDPI, vol. 12(3), pages 1-22, February.
    6. 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.
    7. Yazhu Wang & Hui Zou & Xuejun Duan & Lingqing Wang, 2022. "Coordinated Evolution and Influencing Factors of Population and Economy in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(21), pages 1-19, November.
    8. Le Zhang & Chuanqing Liao & Huan Zhang & Xiaobo Hua, 2018. "Multilevel Modeling of Rural Livelihood Strategies from Peasant to Village Level in Henan Province, China," Sustainability, MDPI, vol. 10(9), pages 1-13, August.
    9. Yihui Chen & Minjie Li & Assem Abu Hatab, 2020. "A spatiotemporal analysis of comparative advantage in tea production in China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(12), pages 550-561.
    10. Zemin Zhang & Changhe Lu, 2019. "Spatio-Temporal Pattern Change of Winter Wheat Production and Its Implications in the North China Plain," Sustainability, MDPI, vol. 11(11), pages 1-14, May.

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