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The Effects of Urbanization on Urban Land Green Use Efficiency of Yangtze River Delta Urban Agglomeration: Mechanism from the Technological Innovation

Author

Listed:
  • Changyong Yang

    (Department of Sociology, Hohai University, Nanjing 211100, China)

  • Jianyuan Huang

    (Department of Sociology, Hohai University, Nanjing 211100, China)

  • Man Jiao

    (Department of Land Resource Management, Hainan University, Haikou 570228, China)

  • Qi Yang

    (Institute of Population Research, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

Abstract

It is urgent and essential to explore the facilitating mechanism of urban land green use efficiency (ULGUE) in promoting the coordinated development of humans and land. In this study, the SBM-DEA model was used to measure ULGUE from 26 cities across the Yangtze River Delta Urban Agglomeration (YRDUA) in China from 2006 to 2019. Desired (eco-friendly) outputs and undesired (non-eco-friendly) green outputs were considered in the selection of ULGUE indicators. This study explored the impact of the mechanism of green, digital, and transportation technological innovation on ULGUE in the process of urbanization by the mediation model. The results showed that urbanization has a positive effect on ULGUE and technological innovation, and for every 1% increase in urbanization, ULGUE increases by 0.048%. The results are still significant after robustness tests. The findings suggest that the improvement of social and economic benefits brought by urbanization in the YRDUA is greater than its negative impact. A mechanistic analysis showed that green, digital, and transportation technological innovation can amplify the positive impact by curbing the growth of energy consumption and alleviating pollution. Therefore, the government should promote ULGUE with technological innovation, construct an ULGUE assessment mechanism, incorporate the promotion of green land use into the planning of targets and incentives for technological innovation, and promote the efficient use of land.

Suggested Citation

  • Changyong Yang & Jianyuan Huang & Man Jiao & Qi Yang, 2024. "The Effects of Urbanization on Urban Land Green Use Efficiency of Yangtze River Delta Urban Agglomeration: Mechanism from the Technological Innovation," Sustainability, MDPI, vol. 16(7), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2812-:d:1365414
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    References listed on IDEAS

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    1. 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.
    2. Liangen Zeng, 2022. "The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    3. Kui Yang & Taiyang Zhong & Yu Zhang & Qi Wen, 2020. "Total factor productivity of urban land use in China," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1784-1803, December.
    4. Lema, Adrian & Lema, Rasmus, 2016. "Low-carbon innovation and technology transfer in latecomer countries: Insights from solar PV in the clean development mechanism," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 223-236.
    5. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    6. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    7. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    8. Andy Cumbers & Danny MacKinnon, 2004. "Introduction: Clusters in Urban and Regional Development," Urban Studies, Urban Studies Journal Limited, vol. 41(5-6), pages 959-969, May.
    9. Zhangsheng Liu & Binbin Lai & Shuangyin Wu & Xiaotian Liu & Qunhong Liu & Kun Ge, 2022. "Growth Targets Management, Regional Competition and Urban Land Green Use Efficiency According to Evidence from China," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    10. Melia, Steve & Parkhurst, Graham & Barton, Hugh, 2011. "The paradox of intensification," Transport Policy, Elsevier, vol. 18(1), pages 46-52, January.
    11. Kun Ge & Shan Zou & Shangan Ke & Danling Chen, 2021. "Does Urban Agglomeration Promote Urban Land Green Use Efficiency? Take the Yangtze River Economic Zone of China as an Example," Sustainability, MDPI, vol. 13(19), pages 1-19, September.
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