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Study on Spatial Spillover Effects of Logistics Industry Development for Economic Growth in the Yangtze River Delta City Cluster Based on Spatial Durbin Model

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  • Xinxing Xu

    (School of Business, Jiangnan University, Wuxi 214122, China)

  • Yuhong Wang

    (School of Business, Jiangnan University, Wuxi 214122, China)

Abstract

The overall entropy method is used to evaluate the development level of the logistics industry in the city based on a mechanism analysis of the spillover effect of the development of the logistics industry on economic growth, according to the panel data of 26 cities in the Yangtze River delta. On this basis, the paper uses the spatial durbin model to study the direct impact of the development of the logistics industry on economic growth and the spatial spillover effect. The results show that the direct impact coefficient of the development of the logistics industry in the Yangtze River Delta urban agglomeration on local economic growth is 0.092, and the significant spatial spillover effect on the economic growth in the surrounding area is 0.197. Compared with the labor force input, capital investment and the degree of opening to the world, and government functions, the logistics industry’s direct impact coefficient is the largest, other than capital investment; the coefficient of the spillover effect is higher than other control variables, making it a “strong engine” of the Yangtze River Delta urban agglomeration economic growth.

Suggested Citation

  • Xinxing Xu & Yuhong Wang, 2017. "Study on Spatial Spillover Effects of Logistics Industry Development for Economic Growth in the Yangtze River Delta City Cluster Based on Spatial Durbin Model," IJERPH, MDPI, vol. 14(12), pages 1-13, December.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:12:p:1508-:d:121549
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    References listed on IDEAS

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    1. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
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    2. Wu, Zhen & Woo, Su-Han & Lai, Po-Lin & Chen, Xiaoyi, 2022. "The economic impact of inland ports on regional development: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 127(C), pages 80-91.
    3. Xiuyan Zhao & Changhong Miao, 2023. "Research on the Spatial Pattern of the Logistics Industry Based on POI Data: A Case Study of Zhengzhou City," Sustainability, MDPI, vol. 15(21), pages 1-38, November.
    4. Bai, Dongbei & Li, Meng & Wang, Yongqi & Mallek, Sabrine & Shahzad, Umer, 2024. "Impact mechanisms and spatial and temporal evolution of digital economy and green innovation: A perspective based on regional collaboration within urban agglomerations," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    5. Xiaohong Chen & Guodong Yi & Jia Liu & Xiang Liu & Yang Chen, 2018. "Evaluating Economic Growth, Industrial Structure, and Water Quality of the Xiangjiang River Basin in China Based on a Spatial Econometric Approach," IJERPH, MDPI, vol. 15(10), pages 1-18, September.
    6. Xiaoyao Xie & Yuhong Wang, 2018. "Evaluating the Efficacy of Government Spending on Air Pollution Control: A Case Study from Beijing," IJERPH, MDPI, vol. 16(1), pages 1-15, December.

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