IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i6p4872-d1092238.html
   My bibliography  Save this article

Exploring the Coupling Coordination of Green Transformation of Industry and Novel Infrastructure in the Context of Low-Carbon Economy

Author

Listed:
  • Yanmei Dong

    (College of Sports Industry and Leisure, Nanjing Sport Institute, Nanjing 210014, China)

  • Yingming Zhu

    (Business School, Nanjing Xiaozhuang University, Nanjing 211171, China)

Abstract

In response to the huge economic impact of the new pneumonia epidemic, the “new infrastructure” has become an important hedge against the downward pressure of the economy. We believe that we should take this opportunity to ensure that the “new infrastructure” projects can strongly support the green and low-carbon transformation of the economy, so whether the new infrastructure can promote the green transformation of the industry has become the focus of academic circles, whereas the existing literature has ignored the coupling and coordination between the green transformation of the sports industry (GTSI) and the novel infrastructure in the context of a low-carbon economy. This study uses data of 31 provinces and cities in China from 2013 to 2020, and a linked coordination degree model is selected to assess the relationship between novel infrastructure and GTSI. The conclusions are as follows. (1) China’s comprehensive index of “novel infrastructure” was 0.228 from 2013 to 2020, comprised of 0.705 convergence infrastructure, 0.227 information infrastructure, and 0.200 innovation infrastructure. (2) The sports industry’s average green total factor productivity is 1.223, with an annual growth rate of 11.2%. The yearly growth rates for green technology efficiency, green pure technology efficiency, and green scale efficiency are correspondingly 10.5%, 6.8%, and 4.5%. 83.6% of provinces and cities are in the growing return to size phase. (3) The mean coupling coordination value between novel infrastructure and GTSI is 0.449. Except for Beijing, Shanghai, and Guangzhou, the majority of provinces and cities led in the development of novel infrastructure but lagged in GTSI. From 2013 to 2020, the coupling coordination degree of novel infrastructure and its three subsystems in specific provinces and cities, such as Beijing and Shanghai, and GTSI show an upward trend, while the overall trend displays a downward trend. (4) Novel infrastructure and GTSI have mutual promoting effect; Government intervention negatively affects the coupling and coordination level; Consumption structure, industrial structure and foreign investment also have a certain positive impact on the two.

Suggested Citation

  • Yanmei Dong & Yingming Zhu, 2023. "Exploring the Coupling Coordination of Green Transformation of Industry and Novel Infrastructure in the Context of Low-Carbon Economy," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4872-:d:1092238
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/6/4872/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/6/4872/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohsin, Muhammad & Hanif, Imran & Taghizadeh-Hesary, Farhad & Abbas, Qaiser & Iqbal, Wasim, 2021. "Nexus between energy efficiency and electricity reforms: A DEA-Based way forward for clean power development," Energy Policy, Elsevier, vol. 149(C).
    2. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    3. Amoako, Samuel & Insaidoo, Michael, 2021. "Symmetric impact of FDI on energy consumption: Evidence from Ghana," Energy, Elsevier, vol. 223(C).
    4. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    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. Yanmei Dong, 2022. "Empirical Study on the Green Transformation of the Sports Industry Empowered by New Infrastructure from the Perspective of the Green Total Factor Productivity of the Sports Industry," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    2. Ling Bai & Tianran Guo & Wei Xu & Kang Luo, 2022. "The Spatial Differentiation and Driving Forces of Ecological Welfare Performance in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    3. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    4. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    5. Harald Dyckhoff, 2018. "Multi-criteria production theory: foundation of non-financial and sustainability performance evaluation," Journal of Business Economics, Springer, vol. 88(7), pages 851-882, September.
    6. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    7. Kao, Chiang, 2020. "Decomposition of slacks-based efficiency measures in network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 283(2), pages 588-600.
    8. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
    9. Xiaoke Zhao & Xuhui Ding & Liang Li, 2021. "Research on Environmental Regulation, Technological Innovation and Green Transformation of Manufacturing Industry in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    10. Keliang Wang & Yajing Bian & Yunhe Cheng, 2022. "Exploring the Spatial Correlation Network Structure of Green Innovation Efficiency in the Yangtze River Delta, China," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    11. Victoria Wojcik & Harald Dyckhoff & Sebastian Gutgesell, 2017. "The desirable input of undesirable factors in data envelopment analysis," Annals of Operations Research, Springer, vol. 259(1), pages 461-484, December.
    12. Wang, Jiexin & Wang, Song, 2023. "The effect of electricity market reform on energy efficiency in China," Energy Policy, Elsevier, vol. 181(C).
    13. Zhiyong Li & Chen Feng & Ying Tang, 2022. "Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis," Annals of Operations Research, Springer, vol. 315(1), pages 279-315, August.
    14. Dong Tian & Fengtao Zhao & Weisong Mu & Radoslava Kanianska & Jianying Feng, 2016. "Environmental Efficiency of Chinese Open-Field Grape Production: An Evaluation Using Data Envelopment Analysis and Spatial Autocorrelation," Sustainability, MDPI, vol. 8(12), pages 1-13, November.
    15. Marcel Clermont & Julia Schaefer, 2019. "Identification of Outliers in Data Envelopment Analysis," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 71(4), pages 475-496, October.
    16. Pavala Malar Kannan & Govindan Marthandan & Rathimala Kannan, 2021. "Modelling Efficiency of Electric Utilities Using Three Stage Virtual Frontier Data Envelopment Analysis with Variable Selection by Loads Method," Energies, MDPI, vol. 14(12), pages 1-21, June.
    17. Zhang, Dongyang & Mohsin, Muhammad & Rasheed, Abdul Khaliq & Chang, Youngho & Taghizadeh-Hesary, Farhad, 2021. "Public spending and green economic growth in BRI region: Mediating role of green finance," Energy Policy, Elsevier, vol. 153(C).
    18. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.
    19. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, March.
    20. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.

    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:15:y:2023:i:6:p:4872-:d:1092238. 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.