RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2022, Vol. 31 >> Issue (12): 2582-2596.doi: 10.11870/cjlyzyyhj202212003

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Spatial-temporal Evolution and Spillover Effects of Innovation Efficiency of Urban Agglomeration in Middle Reaches of Yangtze River

QIU Yi1,2, ZHENG Ze1, WU Jan-jun1   

  1. (1.School of Business, Hunan University of Science and Technology, Xiangtan 411201, China;2. Research Center of High quality Development of Industrial Economy, Central South University of Forestry and Technology, Changsha 410004, China)
  • Online:2022-12-20 Published:2023-01-13

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Abstract: Based on the panel data of 28 cities in the urban agglomeration in the middle reaches of the Yangtze River from 2008 to 2019, this paper has constructed the innovation efficiency evaluation index system, and used the three-stage DEA model to measure urban innovation efficiency and reveal its temporal and spatial characteristics. On this basis, by constructing a variety of spatial weight matrices and using the spatial Dubin model, the main factors and spatial spillover effects of the urban innovation efficiency has been analyzed. The results show that: (1) The urban innovation efficiency of urban agglomeration in the middle reaches of the Yangtze River shows a fluctuating development trend as a whole. The innovation efficiency of each city is obviously different, among which the innovation efficiency of Nanchang, Wuhan, Yichang, Jingzhou and Changsha have relatively high innovation efficiency, cities such as Jingdezhen, Yingtan, Xinyu, Xiaogan, Yueyang and Changde are relatively low. (2) The overall spatial pattern of urban innovation efficiency is characterized by Wuhan as the core, Nanchang and Changsha as important innovation nodes, and gradually decreasing to the surrounding cities, among which the trend of the evolution of high-efficiency areas from west to east is increasingly obvious, higher efficiency areas have shifted from scattered layout to relatively concentrated distribution, medium-efficiency areas are concentrated in patches, while low-efficiency areas are scattered and have a decreasing trend. (3) Urban innovation efficiency has a significant positive spatial spillover effect, which can produce a “trickle-down effect” to the science and technology innovation development of related cities.(4) Regional economic development, education support and transportation level have a significant role in promoting urban innovation efficiency, while opening to the outside world has a negative effect, market structure, financial development and human capital can promote the innovation efficiency of the city, but it has a negative spillover effect on the associated cities; fixed asset investment has a hindering effect on the innovation efficiency of the city, but it can promote the innovation and development of the associated cities.

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