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Uncovering the Triple Synergy of New-Type Urbanization, Greening and Digitalization in China

Author

Listed:
  • Qiangyi Li

    (School of Economics and Management, Guangxi Normal University, Guilin 541006, China
    Key Laboratory of Digital Empowerment Economic Development, Guangxi Normal University, Education Department of Guangxi Zhuang Autonomous Region, Guilin 541006, China)

  • Jiexiao Ge

    (School of Economics and Management, Guangxi Normal University, Guilin 541006, China)

  • Mingyu Huang

    (School of Economics and Management, Guangxi Normal University, Guilin 541006, China)

  • Xiaoyu Wu

    (School of Economics and Management, Guangxi Normal University, Guilin 541006, China)

  • Houbao Fan

    (School of Applied Economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

Abstract

The in-depth discussion and analysis of the synergistic effect of new-type urbanization, greening and digitalization (NUGD) is important for the achievement of sustainable social, ecological and economic development. Therefore, in this study, an evaluation index system composed of these three subsystems was constructed for Chinese cities from 2011 to 2021. The comprehensive and collaborative development levels of each subsystem were measured by means including the entropy weight method and the coupling coordination model, respectively. Then, methods such as ESDA and the Dagum Gini coefficient were applied to investigate the spatiotemporal evolution and spatial differences in the triple synergy effect of the NUGD system in Chinese cities. Finally, the constraining factors of the triple synergy effect were revealed using the obstacle degree model. The findings demonstrated the following: (1) Overall, the NUGD subsystems and their comprehensive levels were increasing, with moderate overall development levels. (2) The synergistic development of the NUGD system exhibited an upward trend. Spatially, the synergistic development level showed distinct differentiation, being higher in the east and lower in the west. The multidimensional dynamic variation characteristics obtained through kernel density estimation revealed that the triple synergy level exhibits high stability. (3) The differences within the east and between the eastern and western areas were the largest, with the intensity of transvariation as the main source. (4) The five criterion layers, including social and spatial urbanization variables, were the key constraints that affected the triple synergy of the NUGD in Chinese cities, and the restrictive role of factors such as the proportion of urban construction land and the per capita postal business volume should not be ignored. This study provides a valuable reference and decision-making guidance to promote China’s acceleration toward a new urbanization path supported by both digitalization and green transformation.

Suggested Citation

  • Qiangyi Li & Jiexiao Ge & Mingyu Huang & Xiaoyu Wu & Houbao Fan, 2024. "Uncovering the Triple Synergy of New-Type Urbanization, Greening and Digitalization in China," Land, MDPI, vol. 13(7), pages 1-24, July.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1017-:d:1430915
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    References listed on IDEAS

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    1. David Adam, 2021. "How far will global population rise? Researchers can’t agree," Nature, Nature, vol. 597(7877), pages 462-465, September.
    2. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    3. Chamari Pamoshika Jayarathna & Duzgun Agdas & Les Dawes, 2023. "Exploring sustainable logistics practices toward a circular economy: A value creation perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 704-720, January.
    4. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
    5. 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).
    6. Wang, Lei & Chen, Yangyang & Ramsey, Thomas Stephen & Hewings, Geoffrey J.D., 2021. "Will researching digital technology really empower green development?," Technology in Society, Elsevier, vol. 66(C).
    Full references (including those not matched with items on IDEAS)

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