IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i24p16686-d1001909.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/24/16686/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/24/16686/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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).
    7. 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.
    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. 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.
    13. 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.
    14. 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.
    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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Guangming Yang & Siyi Cheng & Qingqing Gui & Xinlan Chen, 2022. "The Coupling and Coordination Characteristics and Influencing Factors of Green Innovation Efficiency (GIE) and Economic Development Levels in China," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    2. Biao Hu & Kai Yuan & Tingyun Niu & Liang Zhang & Yuqiong Guan, 2022. "Study on the Spatial and Temporal Evolution Patterns of Green Innovation Efficiency and Driving Factors in Three Major Urban Agglomerations in China—Based on the Perspective of Economic Geography," Sustainability, MDPI, vol. 14(15), pages 1-28, July.
    3. Yaliu Yang & Yuan Wang & Cui Wang & Yingyan Zhang & Cuixia Zhang, 2022. "Temporal and Spatial Evolution of the Science and Technology Innovative Efficiency of Regional Industrial Enterprises: A Data-Driven Perspective," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    4. 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.
    5. Hao Zhang & Xin Sun & Kailong Dong & Lianghui Sui & Min Wang & Qiong Hong, 2022. "Green Innovation in Regional Logistics: Level Evaluation and Spatial Analysis," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    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. Luo, Yusen & Lu, Zhengnan & Wu, Chao, 2023. "Can internet development accelerate the green innovation efficiency convergence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    8. Weisong Mi & Kaixu Zhao & Pei Zhang, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Green Innovation in China," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    9. Qiangmin, XI & Peng, JI, 2023. "Does the development zone promote population urbanization? Evidence from China," Land Use Policy, Elsevier, vol. 131(C).
    10. Meng Guo & Shukai Cai, 2022. "Impact of Green Innovation Efficiency on Carbon Peak: Carbon Neutralization under Environmental Governance Constraints," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    11. Yunyao Li & Yanji Ma, 2022. "Research on Industrial Innovation Efficiency and the Influencing Factors of the Old Industrial Base Based on the Lock-In Effect, a Case Study of Jilin Province, China," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    12. Chen, Kunqiu & Long, Hualou & Liao, Liuwen & Tu, Shuangshuang & Li, Tingting, 2020. "Land use transitions and urban-rural integrated development: Theoretical framework and China’s evidence," Land Use Policy, Elsevier, vol. 92(C).
    13. Juan Luo & Chong Xu & Boyu Yang & Xiaoyu Chen & Yinyin Wu, 2022. "Quantitative Analysis of China’s Carbon Emissions Trading Policies: Perspectives of Policy Content Validity and Carbon Emissions Reduction Effect," Energies, MDPI, vol. 15(14), pages 1-20, July.
    14. Jörn Block & Christian Fisch & Kenta Ikeuchi & Masatoshi Kato, 2022. "Trademarks as an indicator of regional innovation: evidence from Japanese prefectures," Regional Studies, Taylor & Francis Journals, vol. 56(2), pages 190-209, February.
    15. Xiaojun Zhang & Weiqiao Wang & Yunan Bai & Yong Ye, 2022. "How Has China Structured Its Ecological Governance Policy System?—A Case from Fujian Province," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    16. Dolores Gallardo-Vázquez, 2023. "Attributes influencing responsible tourism consumer choices: Sustainable local food and drink, health-related services, and entertainment," Oeconomia Copernicana, Institute of Economic Research, vol. 14(2), pages 645-686, June.
    17. Wang, Mei Ling, 2023. "Effects of the green finance policy on the green innovation efficiency of the manufacturing industry: A difference-in-difference model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    18. Song, Yang & Zhang, Zhiyuan & Sahut, Jean-Michel & Rubin, Ofir, 2023. "Incentivizing green technology innovation to confront sustainable development," Technovation, Elsevier, vol. 126(C).
    19. Jinchao Huang & Shuang Meng & Jiajie Yu, 2023. "The Effects of the Low-Carbon Pilot City Program on Green Innovation: Evidence from China," Land, MDPI, vol. 12(8), pages 1-26, August.
    20. Gordon, Joel A. & Balta-Ozkan, Nazmiye & Nabavi, Seyed Ali, 2022. "Homes of the future: Unpacking public perceptions to power the domestic hydrogen transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16686-:d:1001909. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.