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Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River

Author

Listed:
  • Min Jiang

    (School of Economics and Management, China University of Geosciences, Wuhan 430078, China)

  • Shuwang Yang

    (School of Economics and Management, China University of Geosciences, Wuhan 430078, China)

  • Guohua Zhou

    (School of Economics and Management, China University of Geosciences, Wuhan 430078, China)

Abstract

The urban agglomeration in the middle reaches of the Yangtze River holds a crucial strategic position in China’s economic and social development landscape. Exploring the coordinated development effects within the digital economy and innovation in this area is conducive to promoting the development of the central region of China and the Yangtze River Economic Belt. This paper uses the 28 sample cities in urban agglomeration in the middle reaches of the Yangtze River as the study sample, and constructs a digital economy indicator system and an urban innovation efficiency indicator system. Based on the coupling coordination degree model, we use kernel density estimation, the Markov chain algorithm, and the Dagum Gini coefficient decomposition method to empirically investigate the dynamic trends in coupling coordination development between the digital economy and urban innovation efficiency from 2012 to 2021. The research results reveal an overall upward trend in the digital economy, innovation efficiency, and coupling coordination development stages. However, the upward trend is accompanied by the risk of recession. Moreover, there are significant differences between cities, as highlighted by the differences between Wuhan and other cities. In the light of the findings, it is recommended that government departments take measures, including being alert to the risk of regressive development, developing cities in a realistic manner, and drawing on the experiences of outstanding cities in development. This research can provide new insights and empirical references for government entities to take measures for a more coordinated development of the digital economy and innovation efficiency in the urban agglomeration in the middle reaches of the Yangtze River.

Suggested Citation

  • Min Jiang & Shuwang Yang & Guohua Zhou, 2024. "Study on the Coupling Coordination Development between the Digital Economy and Innovation Efficiency: Evidence from the Urban Agglomeration in the Middle Reaches of the Yangtze River," Land, MDPI, vol. 13(3), pages 1-20, February.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:292-:d:1346027
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    References listed on IDEAS

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    1. Szabolcs Nagy & Mariann Veresne Somosi, 2022. "The relationship between social innovation and digital economy and society," Papers 2212.13840, arXiv.org.
    2. Fei Fan & Huan Lian & Song Wang, 2020. "Can regional collaborative innovation improve innovation efficiency? An empirical study of Chinese cities," Growth and Change, Wiley Blackwell, vol. 51(1), pages 440-463, March.
    3. Kontolaimou, Alexandra & Giotopoulos, Ioannis & Tsakanikas, Aggelos, 2016. "A typology of European countries based on innovation efficiency and technology gaps: The role of early-stage entrepreneurship," Economic Modelling, Elsevier, vol. 52(PB), pages 477-484.
    4. Qiong Wang & Yihan Wei, 2023. "Research on the Influence of Digital Economy on Technological Innovation: Evidence from Manufacturing Enterprises in China," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    5. Liu, Jingling & Chen, Yanying & Liang, Feng Helen, 2023. "The effects of digital economy on breakthrough innovations: Evidence from Chinese listed companies," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    6. Liyuan Zhang & Xiang Ma & Young-Seok Ock & Lingli Qing, 2022. "Research on Regional Differences and Influencing Factors of Chinese Industrial Green Technology Innovation Efficiency Based on Dagum Gini Coefficient Decomposition," Land, MDPI, vol. 11(1), pages 1-20, January.
    7. Shuangying Chen & Qiyue Li & Bo Lei & Na Wang, 2021. "Configurational Analysis of the Driving Paths of Chinese Digital Economy Based on the Technology–Organization–Environment Framework," SAGE Open, , vol. 11(4), pages 21582440211, October.
    8. Yufang Shi & Tianlun Zhang & Yufeng Jiang, 2023. "Digital Economy, Technological Innovation and Urban Resilience," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    9. Kai Yuan & Biao Hu & Xinlong Li & Tingyun Niu & Liang Zhang, 2023. "Exploration of Coupling Effects in the Digital Economy and Eco-Economic System Resilience in Urban Areas: Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration," Sustainability, MDPI, vol. 15(9), pages 1-28, April.
    10. Xiaoting Shang & Huayong Niu, 2023. "Analysis of the Spatiotemporal Evolution and Driving Factors of China’s Digital Economy Development Based on ESDA and GM-GWR Model," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    11. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    12. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    13. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    14. Yihua Zhang & Xinxin Hong & Yuan Wang, 2023. "Study on the Coupled and Coordinated Development and Evolution of Digital Economy and Green Technology Innovation," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    15. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    16. Xu-Mei Yuan & Fu-Li Wei & Hui Li & Ying An & Hassan Zargarzadeh, 2022. "Analysis of the Coupling Coordination and Spatiotemporal Evolution of High-Tech Industrial Technological Innovation and Regional Economic Development," Complexity, Hindawi, vol. 2022, pages 1-14, September.
    17. Lv, Chengchao & Bian, Baocheng & Lee, Chien-Chiang & He, Zhiwen, 2021. "Regional gap and the trend of green finance development in China," Energy Economics, Elsevier, vol. 102(C).
    18. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    19. Zhang, Lin, 2017. "The knowledge spillover effects of FDI on the productivity and efficiency of research activities in China," China Economic Review, Elsevier, vol. 42(C), pages 1-14.
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