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Research on the coordination characteristics and interaction between the innovation-driven development and green development of the Yangtze River Economic Belt in China

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Abstract

Both innovation-driven development and green development are important ways to achieve regional sustainable development. This study considers the innovation-driven development and green development evaluation systems of 130 cities in the Yangtze River Economic Belt. The entropy TOPSIS method is used to measure the innovation-driven development index and the green development index of 130 cities in the Yangtze River Economic Belt. Then, a coupling coordination evaluation model and a spatiotemporal heterogeneity analysis model are constructed to discuss the coupling coordination index of regional innovation-driven development and green development in the Yangtze River Economic Belt and to determine its temporal and spatial distribution characteristics. Finally, we choose a spatial panel regression model to explore the relationship between the innovation-driven development index and the green development index of the Yangtze River Economic Belt. The research results show that there is a significant difference between the innovation-driven development index and the green development index of the 130 cities in the Yangtze River Economic Belt in terms of the temporal and spatial distribution. The level of innovation-driven development lags behind the level of green development on the whole, and the two fail to form a good spatial matching degree. The coordination index of the two has an imbalanced distribution feature, and there is a significant direct or indirect relationship between the two structural indicators in a mathematical sense. This study improves the academic community’s understanding of the interaction between innovation-driven development and green development, provides scientifically based support for green development, and offers guidance for the implementation of innovation capabilities.

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Funding

This research was funded by the National Natural Science Foundation of China (Nos. 42001237, 41901326, and 42071212), the Philosophy and Social Science Research of Jiangsu Higher Education Institutions (2020SJA0093), and the Natural Science Foundation of Jiangsu Province (BK20190742).

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Authors and Affiliations

  1. School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China

    Wei Wang, Lei Zhou, Wei Chen & Chao Wu

  2. Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China

    Wei Wang, Lei Zhou, Wei Chen & Chao Wu

Authors
  1. Wei Wang
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  2. Lei Zhou
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  3. Wei Chen
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  4. Chao Wu
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Contributions

Wei Wang: conceptualization, methodology, software, and writing. Lei Zhou: visualization, investigation, and writing. Wei Chen: writing, software, and validation. Chao Wu: writing, reviewing, and editing.

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Correspondence to Chao Wu.

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Wang, W., Zhou, L., Chen, W. et al. Research on the coordination characteristics and interaction between the innovation-driven development and green development of the Yangtze River Economic Belt in China. Environ Sci Pollut Res 29, 22952–22969 (2022). https://doi.org/10.1007/s11356-021-17470-x

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