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Quantitative Simulation and Verification of the Coordination Curves between Sustainable Development and Green Innovation Efficiency: From the Perspective of Urban Agglomerations Development

Author

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  • Zhicheng Duan

    (Faculty of Health, Queensland University of Technology, Brisbane 4000, Australia)

  • Tingting Tang

    (School of Ethnology and Sociology, Guangxi University for Nationalities, Nanning 530006, China)

Abstract

Green innovation efficiency is the symbol of competitiveness; sustainable development is an important way to enhance social and economic development comprehensively. By deeply understanding the coordination development law and facilitating the development progress between the two, it has great practical significance for the promotion of sustainable development in China. Based on multi-source data, this paper discusses the basic principle of the climbing rule for the coordination process between sustainable development and green innovation efficiency in urban agglomerations and constructs a mathematical model to obtain its geometric expression. Then, according to the entropy weight model, SBM-DEA model and coordination model, the sustainable development level, green innovation efficiency and coordinated development level are calculated. Finally, through the simulation verification methods, the coordination process and the formation and development process of urban agglomerations are cross-discussed. The results are as follows: (1) The differences in growth rates are the main reason for the spatial distribution mismatch between sustainable development and green innovation efficiency. (2) Highly coordinated regions have gradually extended from the national level to the surrounding low-level urban agglomerations. (3) The coordination level between sustainable development and green innovation efficiency passed the antagonism period and is expected to rise further in the near future and (4) The coordination progress in urban agglomeration is a wave-like climbing curve that changes with the development of urban agglomeration.

Suggested Citation

  • Zhicheng Duan & Tingting Tang, 2022. "Quantitative Simulation and Verification of the Coordination Curves between Sustainable Development and Green Innovation Efficiency: From the Perspective of Urban Agglomerations Development," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16686-:d:1001909
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    1. Kimberly A. Eddleston & Elitsa R. Banalieva & Alain Verbeke, 2020. "The Bribery Paradox in Transition Economies and the Enactment of ‘New Normal’ Business Environments," Journal of Management Studies, Wiley Blackwell, vol. 57(3), pages 597-625, May.
    2. Sun, Yifan & Ma, Anbing & Su, Haorui & Su, Shiliang & Chen, Fei & Wang, Wen & Weng, Min, 2020. "Does the establishment of development zones really improve industrial land use efficiency? Implications for China’s high-quality development policy," Land Use Policy, Elsevier, vol. 90(C).
    3. Tao Lin & Lijun Wang & Jingbo Wu, 2022. "Environmental Regulations, Green Technology Innovation, and High-Quality Economic Development in China: Application of Mediation and Threshold Effects," Sustainability, MDPI, vol. 14(11), pages 1-20, June.
    4. Wang, Qian & Ren, Shuming, 2022. "Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    5. Kong, Yuan & Feng, Chao & Yang, Jun, 2020. "How does China manage its energy market? A perspective of policy evolution," Energy Policy, Elsevier, vol. 147(C).
    6. Jun-liang Du & Yong Liu & Wei-xue Diao, 2019. "Assessing Regional Differences in Green Innovation Efficiency of Industrial Enterprises in China," IJERPH, MDPI, vol. 16(6), pages 1-23, March.
    7. Andrey Shmidt & Valentina Antonyuk & Alberto Francini, 2016. "Urban Agglomerations in Regional Development: Theoretical, Methodological and Applied Aspects," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 776-789.
    8. Miao, Cheng-lin & Duan, Meng-meng & Zuo, Yang & Wu, Xin-yu, 2021. "Spatial heterogeneity and evolution trend of regional green innovation efficiency--an empirical study based on panel data of industrial enterprises in China's provinces," Energy Policy, Elsevier, vol. 156(C).
    9. Song, Jinghui & Wang, Ying & Zhang, Siqi & Song, Yanling & Xue, Shengrong & Liu, Le & Lvy, Xingang & Wang, Xiaojiao & Yang, Gaihe, 2021. "Coupling biochar with anaerobic digestion in a circular economy perspective: A promising way to promote sustainable energy, environment and agriculture development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    10. Inna Gryshova & Mykola Kyzym & Viktoriia Khaustova & Volodymyr Korneev & Hennadii Kramarev, 2020. "Assessment of the Industrial Structure and its Influence on Sustainable Economic Development and Quality of Life of the Population of Different World Countries," Sustainability, MDPI, vol. 12(5), pages 1-25, March.
    11. Robert Huggins & David Waite & Max Munday, 2018. "New directions in regional innovation policy: a network model for generating entrepreneurship and economic development," Regional Studies, Taylor & Francis Journals, vol. 52(9), pages 1294-1304, September.
    12. Lu Wang & Wenzhong Ye & Lingming Chen, 2021. "Research on Green Innovation of the Great Changsha-Zhuzhou-Xiangtan City Group Based on Network," Land, MDPI, vol. 10(11), pages 1-15, November.
    13. Jorge Antunes & Abdollah Hadi-Vencheh & Ali Jamshidi & Yong Tan & Peter Wanke, 2022. "Bank efficiency estimation in China: DEA-RENNA approach," Annals of Operations Research, Springer, vol. 315(2), pages 1373-1398, August.
    14. Jaeho Shin & Changhee Kim & Hongsuk Yang, 2018. "The Effect of Sustainability as Innovation Objectives on Innovation Efficiency," Sustainability, MDPI, vol. 10(6), pages 1-13, June.
    15. Yang Yang & Lujie Chen & Fu Jia & Zhiduan Xu, 2019. "Complementarity of circular economy practices: an empirical analysis of Chinese manufacturers," International Journal of Production Research, Taylor & Francis Journals, vol. 57(20), pages 6369-6384, October.
    16. Xu, Shengqing, 2021. "The paradox of the energy revolution in China: A socio-technical transition perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
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