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Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt

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  • Ye Tian
  • Peng Huang
  • Xu Zhao

Abstract

Green innovation is an important driving force to promote the sustainable development of urban society and economy. This paper constructs an evaluation index system containing social undesirable outputs, and uses the Super-SBM model and the Malmquist-Luenberger index to evaluate green innovation efficiency in 42 cities along the Yangtze River Economic Belt from 2013 to 2017. Additionally, spatial autocorrelation analysis is used to study the spatial correlation of green innovation efficiency. Finally, the coupling coordination degree model is used to study the coupling coordination degree between green innovation efficiency and high-tech industries. The following results were obtained. (1) The average value of green innovation efficiency increased from 1.0446 to 1.0987, and the annual average growth rate of total factor productivity of green innovation was 1.1%. (2) Green innovation efficiency of the Yangtze River Economic Belt had a significant spatial positive correlation, but the types of agglomeration among cities in different sections of the Yangtze River were quite different. (3) The coupling coordination degree between green innovation efficiency and the development level of high-tech industries in the cities of the Yangtze River Economic Belt was in the basic coordination stage. Based on the research results, we suggest that cities in this belt further enhance the interactive relationship between green innovation and economic development and promote the coordinated development of economy and society.

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  • Ye Tian & Peng Huang & Xu Zhao, 2020. "Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-29, December.
    • Handle: RePEc:plo:pone00:0243459
    DOI: 10.1371/journal.pone.0243459
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    References listed on IDEAS

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    1. Yu-Shan Chen & Shyh-Bao Lai & Chao-Tung Wen, 2006. "The Influence of Green Innovation Performance on Corporate Advantage in Taiwan," Journal of Business Ethics, Springer, vol. 67(4), pages 331-339, September.
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    1. Xueyang Wang & Xiumei Sun & Haotian Zhang & Chaokai Xue, 2022. "Digital Economy Development and Urban Green Innovation CA-Pability: Based on Panel Data of 274 Prefecture-Level Cities in China," Sustainability, MDPI, vol. 14(5), pages 1-21, March.
    2. Haijuan Yan & Xiaofei Hu & Dawei Wu & Jianing Zhang, 2021. "Exploring the green development path of the Yangtze River Economic Belt using the entropy weight method and fuzzy-set qualitative comparative analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-22, December.
    3. Ling Cheng & Haiyang Cui & Tian Liang & Dan Huang & Yuanxia Su & Zhiyong Zhang & Chuanhao Wen, 2023. "Study on the Trade-Off Synergy Relationship of “Production-Living-Ecological” Functions in Chinese Counties: A Case Study of Chongqing Municipality," Land, MDPI, vol. 12(5), pages 1-27, May.
    4. Zeng, Juying & Blanco-González-Tejero, Cristina & Sendra, F. Javier, 2023. "The spatial difference-in-difference measurement of policy effect of environmental protection interview on green innovation," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    5. Junxia He & Luxia Wang & Decai Tang, 2021. "Research on Green Total Factor Productivity of Yangtze River Economic Belt Based on Environmental Regulation," IJERPH, MDPI, vol. 18(22), pages 1-17, November.
    6. Bin Liao & Lin Li, 2023. "Urban green innovation efficiency and its influential factors: the Chinese evidence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6551-6573, July.
    7. Huihui Wang & Yunsong Yang & Suru Liu & Hanyu Xue & Tingting Xu & Wanlin He & Xiaoyong Gao & Ruifeng Jiang, 2024. "Unveiling the Coupling Coordination and Interaction Mechanism between the Local Heat Island Effect and Urban Resilience in China," Sustainability, MDPI, vol. 16(6), pages 1-28, March.
    8. Jinxin Sun & Mei Han & Fanbiao Kong & Fan Wei & Xianglun Kong, 2023. "Spatiotemporal Analysis of the Coupling Relationship between Habitat Quality and Urbanization in the Lower Yellow River," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    9. Jianshi Wang & Chengxin Wang & Shangkun Yu & Mengcheng Li & Yu Cheng, 2022. "Coupling Coordination and Spatiotemporal Evolution between Carbon Emissions, Industrial Structure, and Regional Innovation of Counties in Shandong Province," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
    10. Mengchao Yao & Jinjun Duan & Qingsong Wang, 2022. "Spatial and Temporal Evolution Analysis of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(11), pages 1-20, May.

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