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Int. J. Environ. Res. Public Health 2017, 14(12), 1508; https://doi.org/10.3390/ijerph14121508

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

School of Business, Jiangnan University, Wuxi 214122, China
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Received: 24 October 2017 / Revised: 30 November 2017 / Accepted: 1 December 2017 / Published: 4 December 2017
(This article belongs to the Special Issue Decision Models in Green Growth and Sustainable Development)
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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. View Full-Text
Keywords: logistics industry; economic growth; spillover effect; overall entropy method; spatial durbin model logistics industry; economic growth; spillover effect; overall entropy method; spatial durbin model
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Xu, X.; Wang, Y. Study on Spatial Spillover Effects of Logistics Industry Development for Economic Growth in the Yangtze River Delta City Cluster Based on Spatial Durbin Model. Int. J. Environ. Res. Public Health 2017, 14, 1508.

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