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Coupling Coordination Measurement and Evaluation of Urban Digitalization and Green Development in China

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  • Siliang Guo

    (School of Economics and Management, Qilu Normal University, Jinan 250200, China
    School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Yanhua Diao

    (School of Economics and Management, Shandong Youth University of Political Science, Jinan 250103, China)

  • Junliang Du

    (School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

Abstract

The coordinated promotion of urban digitalization and green development is an inevitable requirement for sustainable development in the digital age. Based on the coupling mechanism of urban digitalization and green development, in this study, we took 282 cities at the prefecture level and above in China from 2011 to 2019 as the research object, and we constructed the evaluation index system and calculated the coupling coordination degree (CD&GDD) of the two through the coupling coordination degree model. We further used the Dagum Gini coefficient, kernel density estimation, Markov chain and Moran’s I to assess the spatial effects of the regional differences, dynamic evolution trends and degree of coupling coordination. The results show the following: (1) The level of urban digitalization and green development show a fluctuating upward trend, and the interaction between the two is obvious. (2) Although the CD&GDD of most cities is continuously improving, it is still at a low level. There are large differences in the levels between the regions. (3) The inter-regional differences are the main source of the large overall differences in the CD&GDD in China, and these are mainly composed of the hypervariable density and net differences between the regions. (4) The phenomenon of “club convergence” exists in the CD&GDD. (5) The coupling coordination relationship between cities has a substantial spatial effect, and the spatial effect has obvious regional heterogeneity. The results and conclusions provide a reference for developing countries to promote green and low-carbon urban development.

Suggested Citation

  • Siliang Guo & Yanhua Diao & Junliang Du, 2022. "Coupling Coordination Measurement and Evaluation of Urban Digitalization and Green Development in China," IJERPH, MDPI, vol. 19(22), pages 1-32, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15379-:d:979104
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    as
    1. Emmanouil Tranos & Aura Reggiani & Peter Nijkamp, 2013. "Accessibility of Cities in the Digital Economy," Tinbergen Institute Discussion Papers 13-160/VIII, Tinbergen Institute.
    2. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    3. K. Shironitta, 2016. "Global structural changes and their implication for territorial CO2 emissions," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-18, December.
    4. Monica Răileanu Szeles & Mihaela Simionescu, 2020. "Regional Patterns and Drivers of the EU Digital Economy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 95-119, July.
    5. Vieira, Fabiana C. & Ferreira, Fernando A.F. & Govindan, Kannan & Ferreira, Neuza C.M.Q.F. & Banaitis, Audrius, 2022. "Measuring urban digitalization using cognitive mapping and the best worst method (BWM)," Technology in Society, Elsevier, vol. 71(C).
    6. Kristoffersen, Eivind & Blomsma, Fenna & Mikalef, Patrick & Li, Jingyue, 2020. "The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies," Journal of Business Research, Elsevier, vol. 120(C), pages 241-261.
    7. Hassan, Taimoor & Song, Huaming & Khan, Yasir & Kirikkaleli, Dervis, 2022. "Energy efficiency a source of low carbon energy sources? Evidence from 16 high-income OECD economies," Energy, Elsevier, vol. 243(C).
    8. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    9. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    10. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    11. Yasir Khan & Qiu Bin & Taimoor Hassan, 2019. "The impact of climate changes on agriculture export trade in Pakistan: Evidence from time‐series analysis," Growth and Change, Wiley Blackwell, vol. 50(4), pages 1568-1589, December.
    12. Rainer Walz & Matthias Pfaff & Frank Marscheider-Weidemann & Simon Glöser-Chahoud, 2017. "Innovations for reaching the green sustainable development goals –where will they come from?," International Economics and Economic Policy, Springer, vol. 14(3), pages 449-480, July.
    13. de Jesus, Ana & Mendonça, Sandro, 2018. "Lost in Transition? Drivers and Barriers in the Eco-innovation Road to the Circular Economy," Ecological Economics, Elsevier, vol. 145(C), pages 75-89.
    14. Arik Levinson, 2009. "Technology, International Trade, and Pollution from US Manufacturing," American Economic Review, American Economic Association, vol. 99(5), pages 2177-2192, December.
    15. Ghisetti, Claudia & Quatraro, Francesco, 2017. "Green Technologies and Environmental Productivity: A Cross-sectoral Analysis of Direct and Indirect Effects in Italian Regions," Ecological Economics, Elsevier, vol. 132(C), pages 1-13.
    16. De Marchi, Valentina, 2012. "Environmental innovation and R&D cooperation: Empirical evidence from Spanish manufacturing firms," Research Policy, Elsevier, vol. 41(3), pages 614-623.
    17. Honma, Satoshi & Hu, Jin-Li, 2014. "A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions," Energy, Elsevier, vol. 78(C), pages 732-739.
    18. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    19. Lai, Wangyang & Song, Hong & Wang, Chang & Wang, Huanhuan, 2021. "Air pollution and brain drain: Evidence from college graduates in China," China Economic Review, Elsevier, vol. 68(C).
    20. Luo, Kang & Liu, Yaobin & Chen, Pei-Fen & Zeng, Mingli, 2022. "Assessing the impact of digital economy on green development efficiency in the Yangtze River Economic Belt," Energy Economics, Elsevier, vol. 112(C).
    21. Hoenig, Daniel & Henkel, Joachim, 2015. "Quality signals? The role of patents, alliances, and team experience in venture capital financing," Research Policy, Elsevier, vol. 44(5), pages 1049-1064.
    22. Yasir Khan & Cai ShuKai & Taimoor Hassan & Jawed Kootwal & Muhammad Nisar Khan, 2021. "The links between renewable energy, fossil energy, terrorism, economic growth and trade openness: the case of Pakistan," SN Business & Economics, Springer, vol. 1(9), pages 1-25, September.
    23. DeStefano, Timothy & Kneller, Richard & Timmis, Jonathan, 2018. "Broadband infrastructure, ICT use and firm performance: Evidence for UK firms," Journal of Economic Behavior & Organization, Elsevier, vol. 155(C), pages 110-139.
    24. Liu, Er-na & Wang, Yanan & Chen, Wei & Chen, Wenjun & Ning, Siyin, 2021. "Evaluating the transformation of China's resource-based cities: An integrated sequential weight and TOPSIS approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    25. Dhahri, Sabrine & Omri, Anis, 2018. "Entrepreneurship contribution to the three pillars of sustainable development: What does the evidence really say?," World Development, Elsevier, vol. 106(C), pages 64-77.
    26. Desiree F. Pacheco & Thomas J. Dean, 2015. "Firm responses to social movement pressures: A competitive dynamics perspective," Strategic Management Journal, Wiley Blackwell, vol. 36(7), pages 1093-1104, July.
    27. Ghulam Samad & Rabia Manzoor, 2015. "Green Growth: Important Determinants," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 60(02), pages 1-15.
    28. Santoalha, Artur & Consoli, Davide & Castellacci, Fulvio, 2021. "Digital skills, relatedness and green diversification: A study of European regions," Research Policy, Elsevier, vol. 50(9).
    29. Dunn, Laurel N. & Sohn, Michael D. & LaCommare, Kristina Hamachi & Eto, Joseph H., 2019. "Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability," Energy Policy, Elsevier, vol. 129(C), pages 206-214.
    30. Hall, Charles R. & Hodges, Alan W. & Haydu, John J., 2006. "The Economic Impact of the Green Industry in the United States," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35437, Southern Agricultural Economics Association.
    31. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    32. He, Feng & Yan, Yulin & Hao, Jing & Wu, Ji (George), 2022. "Retail investor attention and corporate green innovation: Evidence from China," Energy Economics, Elsevier, vol. 115(C).
    33. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    34. Davide Fiaschi & Andrea Mario Lavezzi, 2005. "An Empirical Analysis of Growth Volatility: A Markov Chain Approach," Lecture Notes in Economics and Mathematical Systems, in: Jacek Leskow & Lionello F. Punzo & Martín Puchet Anyul (ed.), New Tools of Economic Dynamics, chapter 18, pages 319-334, Springer.
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