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Measurement and Dynamic Trend Research on the Development Level of Rural Industry Integration in China

Author

Listed:
  • Han Hao

    (Agricultural Economics and Development Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Chenyang Liu

    (Agricultural Economics and Development Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Ling Xin

    (Agricultural Economics and Development Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

China is a traditional agricultural country, and the integration of rural industries has become an essential policy direction for the current strategy of agricultural modernization in China. The purpose of this study is to evaluate the level of integrated rural industry development in China, identify problems in the development process, and combine analysis of related theories and practices of rural industry integration to propose strategies to enhance the level of integrated rural industry development in China. Hence, this paper, rooted in the integration of rural industries, cross-industry, industry extension, industry agglomeration, and industry penetration, sets up a measurement index system. Using provincial panel data from 2011 to 2020, the paper measures the level of integrated development in rural industries across China and its 31 provinces. Research indicates that during the sample period, the overall level of integrated development in rural industries in various provinces in China has shown an upward trend. Development among the eastern, central, and western regions is highly uneven, but this disparity has been gradually narrowing in recent years. Furthermore, the levels of integrated development in different provinces exhibit significant spatial agglomeration effects. The development level of neighboring regions significantly impacts the province’s development status.

Suggested Citation

  • Han Hao & Chenyang Liu & Ling Xin, 2023. "Measurement and Dynamic Trend Research on the Development Level of Rural Industry Integration in China," Agriculture, MDPI, vol. 13(12), pages 1-16, December.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:12:p:2245-:d:1294388
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    References listed on IDEAS

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    1. Michael Boehlje, 1999. "Structural Changes in the Agricultural Industries: How Do We Measure, Analyze and Understand Them?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(5), pages 1028-1041.
    2. Liu, Qing & Qiu, Larry D. & Zhan, Chaoqun, 2019. "Trade liberalization and domestic vertical integration: Evidence from China," Journal of International Economics, Elsevier, vol. 121(C).
    3. Suwei Gao & Xiaobei Yang & Huizhen Long & Fengrui Zhang & Qin Xin, 2023. "The Sustainable Rural Industrial Development under Entrepreneurship and Deep Learning from Digital Empowerment," Sustainability, MDPI, vol. 15(9), pages 1-19, April.
    4. Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
    5. David L. Barkley & Mark S. Henry, 1997. "Rural Industrial Development: To Cluster or Not to Cluster?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 19(2), pages 308-325.
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