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City Centrality, Migrants and Green Inovation Efficiency: Evidence from 106 Cities in the Yangtze River Economic Belt of China

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  • Haisen Wang

    (Institute for the Development of Central China, Wuhan University, Wuhan 430072, China
    Development Research Center of the Yangtze River Economic Belt, Wuhan University, Wuhan 430072, China)

  • Gangqiang Yang

    (Institute for the Development of Central China, Wuhan University, Wuhan 430072, China
    Development Research Center of the Yangtze River Economic Belt, Wuhan University, Wuhan 430072, China)

  • Jiaying Qin

    (Institute for the Development of Central China, Wuhan University, Wuhan 430072, China
    Development Research Center of the Yangtze River Economic Belt, Wuhan University, Wuhan 430072, China)

Abstract

Based on the panel data of 106 cities in the Yangtze River Economic Belt of China from 2007 to 2016, this paper explores the impact of city centrality on the green innovation efficiency and proves the mediation effect of migrants by using spatial econometric model. The results show that there are more and more innovation contacts between cities, and the innovation network is becoming more and more dense. The core cities of the downstream innovation network are mainly Yangzhou, Zhenjiang, Wuxi, Changzhou, Suzhou and Hangzhou; the core cities in the midstream are mainly Wuhan, Changsha and Yichun; the core cities in the upstream are Chengdu and Bazhong. There is an inverted U-shaped relationship between city centrality and green innovation efficiency. In addition, the influence curve of city centrality on the green innovation efficiency of surrounding cities is also inverted U-shaped. Cities with high city centrality attract a large number of migrants that come from cities with lower centrality to improve the green innovation efficiency, but the green innovation efficiency of cities with low city centrality will decline due to lack of talents.

Suggested Citation

  • Haisen Wang & Gangqiang Yang & Jiaying Qin, 2020. "City Centrality, Migrants and Green Inovation Efficiency: Evidence from 106 Cities in the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:2:p:652-:d:310745
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    References listed on IDEAS

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    Cited by:

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    2. Haisheng Chen & Manhong Shen, 2022. "Do Central Inspections of Environmental Protection Affect the Efficiency of the Green Economy? Evidence from China’s Yangtze River Delta," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    3. Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    4. Chun Li & Xingwu Duan, 2020. "Exploration of Urban Interaction Features Based on the Cyber Information Flow of Migrant Concern: A Case Study of China’s Main Urban Agglomerations," IJERPH, MDPI, vol. 17(12), pages 1-20, June.
    5. Ming Yi & Yiqian Wang & Modan Yan & Lina Fu & Yao Zhang, 2020. "Government R&D Subsidies, Environmental Regulations, and Their Effect on Green Innovation Efficiency of Manufacturing Industry: Evidence from the Yangtze River Economic Belt of China," IJERPH, MDPI, vol. 17(4), pages 1-17, February.
    6. Yang Yang & Simo Li & Zhaoxian Su & Hao Fu & Wenbin Wang & Yun Wang, 2023. "Research on the Ecological Innovation Efficiency of the Zhongyuan Urban Agglomeration: Measurement, Evaluation and Optimization," Sustainability, MDPI, vol. 15(19), pages 1-24, September.

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