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Dynamic Measurement Analysis of Urban Innovation Ability and Ecological Efficiency in China

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  • Xing Li
  • Fuzhou Luo

Abstract

To establish the evaluation index system of urbanization innovation level and ecological efficiency, the entropy method is applied to measure the comprehensive index of urbanization innovation level and ecological efficiency, the VAR model is established, and empirical measurement is used to study the internal relationship and dynamic development between urbanization innovation level and ecological efficiency. The empirical results show the following: (1) The overall development of the innovation level in 30 cities in China is uneven, there is a large gap between the urban innovation level in backwards areas and economically developed areas, and there is a certain coupling effect between the urban innovation level and ecological efficiency. (2) There is a long‐term dynamic equilibrium relationship between the urban innovation level and ecological efficiency, which will exert certain pressure on the ecological environment in the process of urbanization. However, the continuous improvement of urbanization will have a positive impact on the improvement of the ecological environment. (3) The improvement of ecological efficiency will also promote the improvement of the urban innovation level. Therefore, this paper puts forwards policy suggestions to promote the harmonious development of urbanization and the ecological environment and provides a reference for realizing the balanced development of urbanization and ecological efficiency in China.

Suggested Citation

  • Xing Li & Fuzhou Luo, 2022. "Dynamic Measurement Analysis of Urban Innovation Ability and Ecological Efficiency in China," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:6049629
    DOI: 10.1155/2022/6049629
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    1. Rafique, Muhammad Zahid & Fareed, Zeeshan & Ferraz, Diogo & Ikram, Majid & Huang, Shaoan, 2022. "Exploring the heterogenous impacts of environmental taxes on environmental footprints: An empirical assessment from developed economies," Energy, Elsevier, vol. 238(PA).
    2. Tu, Chuang & Mu, Xianzhong & Chen, Jian & Kong, Li & Zhang, Zheng & Lu, Yutong & Hu, Guangwen, 2021. "Study on the interactive relationship between urban residents’ expenditure and energy consumption of production sectors," Energy Policy, Elsevier, vol. 157(C).
    3. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    4. Yue Li, 2010. "Analysis on the disparity in economic growth and consumption between urban sector and rural sector of China: 1978–2008," Frontiers of Economics in China, Springer;Higher Education Press, vol. 5(4), pages 559-581, December.
    5. Cosimo Magazzino & Mihai Mutascu & Marco Mele & Samuel Asumadu Sarkodie, 2021. "Energy consumption and economic growth in Italy: A wavelet analysis," Post-Print hal-03539125, HAL.
    6. Li, Yiming & Solaymani, Saeed, 2021. "Energy consumption, technology innovation and economic growth nexuses in Malaysian," Energy, Elsevier, vol. 232(C).
    7. Shang, Wen-Long & Chen, Jinyu & Bi, Huibo & Sui, Yi & Chen, Yanyan & Yu, Haitao, 2021. "Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis," Applied Energy, Elsevier, vol. 285(C).
    8. Sardar M N Islam & Ainsley Jolley, 1996. "Sustainable development in Asia: the current state and policy options," Natural Resources Forum, Blackwell Publishing, vol. 20(4), pages 263-279, November.
    9. Wen-Long Shang & Yanyan Chen & Huibo Bi & Haoran Zhang & Changxi Ma & Washington Y. Ochieng, 2020. "Statistical Characteristics and Community Analysis of Urban Road Networks," Complexity, Hindawi, vol. 2020, pages 1-21, September.
    10. Bi, Huibo & Shang, Wen-Long & Chen, Yanyan & Wang, Kezhi & Yu, Qing & Sui, Yi, 2021. "GIS aided sustainable urban road management with a unifying queueing and neural network model," Applied Energy, Elsevier, vol. 291(C).
    11. Z M Dai & Xiuheng Shen & Lu Guo, 2021. "Technological innovation on economic growth from the perspective of investment-oriented environmental regulations: considering the threshold effect of China human capital," Applied Economics, Taylor & Francis Journals, vol. 53(40), pages 4632-4645, August.
    12. Wen-Long Shang & Yanyan Chen & Xingang Li & Washington Y. Ochieng, 2020. "Resilience Analysis of Urban Road Networks Based on Adaptive Signal Controls: Day-to-Day Traffic Dynamics with Deep Reinforcement Learning," Complexity, Hindawi, vol. 2020, pages 1-19, November.
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