IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i7p2812-d1365414.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/7/2812/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/7/2812/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    9. 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.
    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.
    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. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    2. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    3. Qianru Chen & Hualin Xie, 2019. "Temporal-Spatial Differentiation and Optimization Analysis of Cultivated Land Green Utilization Efficiency in China," Land, MDPI, vol. 8(11), pages 1-17, October.
    4. Ran Zhang & Guoquan Kong & Huaping Sun, 2023. "Can New-Type Urbanization Promote Enterprise Green Technology Innovation?—A Study Based on Difference-in-Differences Model," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
    5. Ning Geng & Zengjin Liu & Xuejiao Wang & Lin Meng & Jiayan Pan, 2022. "Measurement of Green Total Factor Productivity and Its Spatial Convergence Test on the Pig-Breeding Industry in China," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    6. Xiao Lu & Yi Qu & Piling Sun & Wei Yu & Wenlong Peng, 2020. "Green Transition of Cultivated Land Use in the Yellow River Basin: A Perspective of Green Utilization Efficiency Evaluation," Land, MDPI, vol. 9(12), pages 1-22, November.
    7. Yufan Sun & Zhuo Jia & Qi Chen & Heya Na, 2022. "Spatial Pattern and Spillover Effects of the Urban Land Green Use Efficiency for the Lanzhou-Xining Urban Agglomeration of the Yellow River Basin," Land, MDPI, vol. 12(1), pages 1-15, December.
    8. Yi Qu & Xiao Lyu & Wenlong Peng & Zongfei Xin, 2021. "How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China," Land, MDPI, vol. 10(8), pages 1-18, July.
    9. Fanchao Kong & Kaixiao Zhang & Hengshu Fu & Lina Cui & Yang Li & Tengteng Wang, 2023. "Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    10. Luyao Xu & Hui Sun, 2024. "Study on the Impact of Carbon Emission Trading Pilot on Green Land Use Efficiency in Cities," Land, MDPI, vol. 13(4), pages 1-21, April.
    11. Han Chen & Chunyu Meng & Qilin Cao, 2022. "Measurement and Influencing Factors of Low Carbon Urban Land Use Efficiency—Based on Non-Radial Directional Distance Function," Land, MDPI, vol. 11(7), pages 1-16, July.
    12. Yuling Wu & Pei Zhang & Jia Li & Jiao Hou, 2022. "Spatial Distribution Evolution and Optimization Path of Eco-Efficiency of Cultivated Land Use: A Case Study of Hubei Province, China," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    13. Song, Malin & Zhu, Shuai & Wang, Jianlin & Zhao, Jiajia, 2020. "Share green growth: Regional evaluation of green output performance in China," International Journal of Production Economics, Elsevier, vol. 219(C), pages 152-163.
    14. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    15. Xianhong Xiang & Guoge Yang & Hui Sun, 2022. "The Impact of the Digital Economy on Low-Carbon, Inclusive Growth: Promoting or Restraining," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    16. Ruomei Xu & Yanrui Wu & Chen Chen, 2022. "Agricultural green efficiency and productivity incorporating waste recycling," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 635-660, September.
    17. Xueyan Zheng & Minghui Zhu & Yan Shi & Hui Pei & Wenbin Nie & Xinge Nan & Xinyi Zhu & Guofu Yang & Zhiyi Bao, 2023. "Equity Analysis of the Green Space Allocation in China’s Eight Urban Agglomerations Based on the Theil Index and GeoDetector," Land, MDPI, vol. 12(4), pages 1-19, March.
    18. Yuanhe Yu & Jinkuo Lin & Peixiang Zhou & Shuwei Zheng & Zijun Li, 2022. "Cultivated Land Input Behavior of Different Types of Rural Households and Its Impact on Cultivated Land-Use Efficiency: A Case Study of the Yimeng Mountain Area, China," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    19. Guijie Qiu & Xiaonan Xing & Guanqiao Cong & Xinyu Yang, 2022. "Measuring the Cultivated Land Use Efficiency in China: A Super Efficiency MinDS Model Approach," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    20. Di Zhu & Yinghong Wang & Shangui Peng & Fenglin Zhang, 2022. "Influence Mechanism of Polycentric Spatial Structure on Urban Land Use Efficiency: A Moderated Mediation Model," IJERPH, MDPI, vol. 19(24), pages 1-18, December.

    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:16:y:2024:i:7:p:2812-:d:1365414. 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.