IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i8p1172-d1446147.html
   My bibliography  Save this article

Digital Economy and Green and Low-Carbon Transformation of Land Use: Spatial Effects and Moderating Mechanisms

Author

Listed:
  • Kunpeng Ai

    (School of Political Science and Public Administration, Henan Normal University, Xinxiang 453007, China)

  • Honghe Li

    (School of Political Science and Public Administration, Henan Normal University, Xinxiang 453007, China)

  • Wenjie Zhang

    (School of Management, Wuhan Polytechnic University, Wuhan 430048, China)

  • Xiang-Wu Yan

    (School of Economics, Zhejiang University of Finance & Economics, Hangzhou 310018, China)

Abstract

The green and low-carbon transformation of land use (GLTLU) is a pressing global issue that requires urgent attention. The digital economy has emerged as a new driver for the GLTLU. However, current research mainly focuses on the measurement and environmental effects of the digital economy, with less exploration of how the digital economy influences the spatial effects and regulatory mechanisms of GLTLU, particularly regarding the differential impacts and specific mechanisms at the regional level. This study uses panel data from 283 cities in China from 2011 to 2019, employing the spatial Durbin model (SDM) and the panel threshold model to examine the spatial and regulatory mechanisms of the digital economy’s impact on GLTLU. The findings reveal that digital economy promotes GLTLU not only within cities but also in surrounding regions. Robustness analyses support this conclusion. Notably, the digital economy’s positive impact on GLTLU in surrounding areas is confined to the central region of China. In contrast, the Yangtze River Delta urban agglomeration experiences a significant negative impact on GLTLU in nearby regions due to the digital economy. The study also identifies that the positive spatial spillover effect of the digital economy on GLTLU reaches its peak at a distance of 450 km. Additionally, the digital economy’s ability to promote GLTLU is contingent upon financial agglomeration levels exceeding 9.1728. Moreover, the local government’s emphasis on the digital economy and intellectual property protection enhances the digital economy’s impact on GLTLU. The promotion effect is maximized when these factors surpass the thresholds of 27.8054 and 3.5189, respectively. Overall, this study contributes to the understanding of how the digital economy influences sustainable land development, highlighting the critical role of regional factors and regulatory mechanisms in amplifying the digital economy’s positive effects on GLTLU.

Suggested Citation

  • Kunpeng Ai & Honghe Li & Wenjie Zhang & Xiang-Wu Yan, 2024. "Digital Economy and Green and Low-Carbon Transformation of Land Use: Spatial Effects and Moderating Mechanisms," Land, MDPI, vol. 13(8), pages 1-28, July.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1172-:d:1446147
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/8/1172/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/8/1172/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krekel, Christian & Kolbe, Jens & Wüstemann, Henry, 2016. "The greener, the happier? The effect of urban land use on residential well-being," Ecological Economics, Elsevier, vol. 121(C), pages 117-127.
    2. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    3. Jie Li & Zhengchuan Sun & Jie Zhou & Yaya Sow & Xufeng Cui & Haipeng Chen & Qianling Shen, 2023. "The Impact of the Digital Economy on Carbon Emissions from Cultivated Land Use," Land, MDPI, vol. 12(3), pages 1-18, March.
    4. Aiping Wang & Weifen Lin & Bei Liu & Hui Wang & Hong Xu, 2021. "Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?," Land, MDPI, vol. 10(6), pages 1-18, June.
    5. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    6. Menggen Chen & Songyangyang Zhao & Jiawen Wang, 2023. "The Impact of the Digital Economy on Regional Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 15(20), pages 1-34, October.
    7. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
    8. 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).
    9. Wei Zhang & Hao Zhou & Jie Chen & Zifu Fan, 2022. "An Empirical Analysis of the Impact of Digital Economy on Manufacturing Green and Low-Carbon Transformation under the Dual-Carbon Background in China," IJERPH, MDPI, vol. 19(20), pages 1-22, October.
    10. Bei Liu & Yukun Li & Xiaoya Tian & Lipeng Sun & Pishi Xiu, 2023. "Can Digital Economy Development Contribute to the Low-Carbon Transition? Evidence from the City Level in China," IJERPH, MDPI, vol. 20(3), pages 1-19, February.
    11. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    12. Ning Xu & He Zhang & Tixin Li & Xiao Ling & Qian Shen, 2022. "How Big Data Affect Urban Low-Carbon Transformation—A Quasi-Natural Experiment from China," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    13. Zhang, Wenxi & Wang, Bo & Wang, Jian & Wu, Qun & Wei, Yehua Dennis, 2022. "How does industrial agglomeration affect urban land use efficiency? A spatial analysis of Chinese cities," Land Use Policy, Elsevier, vol. 119(C).
    14. Yu Qin, 2017. "‘No county left behind?’ The distributional impact of high-speed rail upgrades in China," Journal of Economic Geography, Oxford University Press, vol. 17(3), pages 489-520.
    15. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
    16. Chuanyu Zhao & Zhongquan Liu & Xianfeng Yan, 2023. "Does the Digital Economy Increase Green TFP in Cities?," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
    17. Xiuju Feng & Jian Gao & Jittaporn Sriboonjit & Zhongmin Wang & Jianxu Liu & Songsak Sriboonchitta, 2023. "The Impact of Urbanization on Cultivated Land Use Efficiency in the Yangtze River Economic Belt in China," Agriculture, MDPI, vol. 13(3), pages 1-17, March.
    18. Jun Fu & Rui Ding & Yilin Zhang & Tao Zhou & Yiming Du & Yuqi Zhu & Linyu Du & Lina Peng & Jian Zou & Wenqian Xiao, 2022. "The Spatial-Temporal Transition and Influencing Factors of Green and Low-Carbon Utilization Efficiency of Urban Land in China under the Goal of Carbon Neutralization," IJERPH, MDPI, vol. 19(23), pages 1-25, December.
    19. Ann Bartel & Casey Ichniowski & Kathryn Shaw, 2007. "How Does Information Technology Affect Productivity? Plant-Level Comparisons of Product Innovation, Process Improvement, and Worker Skills," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1721-1758.
    20. Michael L. Lahr, 2009. "Regional Science, Regional Scientists, and State Policy," International Regional Science Review, , vol. 32(4), pages 495-508, October.
    21. Liu, Jingming & Hou, Xianhui & Wang, Zhanqi & Shen, Yue, 2021. "Study the effect of industrial structure optimization on urban land-use efficiency in China," Land Use Policy, Elsevier, vol. 105(C).
    22. Qiang Wang & Hongren Jiang & Jian Xu, 2022. "The Study of the Effect of the Digital Economy on the Low-Carbon Transformation of Urban Economies under Public Attention," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
    23. Haiyang Qiu & Xin Li & Long Zhang, 2023. "Influential Effect and Mechanism of Digital Finance on Urban Land Use Efficiency in China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    24. Yuan Feng & Ying Li & Changfei Nie, 2023. "The Effect of Place-Based Policy on Urban Land Green Use Efficiency: Evidence from the Pilot Free-Trade Zone Establishment in China," Land, MDPI, vol. 12(3), pages 1-19, March.
    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. Tiantian Guo & Xiaoming Wang, 2024. "Effects of Industrial Structure on the Green Utilization Efficiency of Urban Land: A Case Study of the Bohai Rim Region, China," Sustainability, MDPI, vol. 16(17), pages 1-17, September.
    2. Liu, Qingfang & Jiang, Huaxiong & Li, Jianmei & Song, Jinping & Zhang, Xiantian, 2024. "Antidote or poison? Digital economy and land-use," Land Use Policy, Elsevier, vol. 139(C).
    3. Ning Xu & Desen Zhao & Wenjie Zhang & He Zhang & Wanxu Chen & Min Ji & Ming Liu, 2022. "Innovation-Driven Development and Urban Land Low-Carbon Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(10), pages 1-21, September.
    4. Zhang, Han & Zheng, Jinhui & Hunjra, Ahmed Imran & Zhao, Shikuan & Bouri, Elie, 2024. "How does urban land use efficiency improve resource and environment carrying capacity?," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    5. Lina Peng & Juan Liang & Kexin Wang & Wenqian Xiao & Jian Zou & Yuxuan Hong & Rui Ding, 2024. "Exploring Spatial-Temporal Coupling and Its Driving Factors of Green and Low-Carbon Urban Land Use Efficiency and High-Quality Economic Development in China," Sustainability, MDPI, vol. 16(8), pages 1-31, April.
    6. Liu Yang & Bingyang Han & Zhili Ma & Ting Wang & Yingchao Lin, 2022. "Analysis of the Urban Land Use Efficiency in the New-Type Urbanization Process of China’s Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(13), pages 1-22, July.
    7. Jing Ning & Mengqiu Wang & Ning Wang & Yu Sun & Haozhi Ma, 2025. "Assessment, Evolutionary Trends, and Convergence of Land Green Utilization Efficiency in Three Northeastern Provinces of China Undergoing Population Shrinkage," Sustainability, MDPI, vol. 17(5), pages 1-18, February.
    8. Zhen Wang & Xiaoyu Zhang & Hui Lu & Xiaolan Kang & Bin Liu, 2023. "The Effect of Industrial Agglomeration on Agricultural Green Production Efficiency: Evidence from China," Sustainability, MDPI, vol. 15(16), pages 1-23, August.
    9. 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.
    10. Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
    11. Kunpeng Ai & Ning Xu, 2023. "Does Regional Integration Improve Carbon Emission Performance?—A Quasi-Natural Experiment on Regional Integration in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    12. Lifei Ru & Peilin Wang & Yixian Lu, 2024. "An Empirical Investigation into the Effects of the Digital Economy on Regional Integration: Evidence from Urban Agglomeration in China," Sustainability, MDPI, vol. 16(17), pages 1-23, September.
    13. Saige Wang & Chenchen Zhai & Yunxiao Zhang, 2024. "Evaluating the Impact of Urban Digital Infrastructure on Land Use Efficiency Based on 279 Cities in China," Land, MDPI, vol. 13(4), pages 1-24, March.
    14. Guangya Zhou & Helian Xu & Chuanzeng Jiang & Shiqi Deng & Liming Chen & Zhi Zhang, 2024. "Has the Digital Economy Improved the Urban Land Green Use Efficiency? Evidence from the National Big Data Comprehensive Pilot Zone Policy," Land, MDPI, vol. 13(7), pages 1-25, June.
    15. 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.
    16. Gang Zhou & Jiaxin Gao & Yao Xu & Yi Zhang & Hao Kong, 2024. "The Impact and Mechanism behind the Effect of a Digital Economy on Industrial Carbon Emission Reduction," Sustainability, MDPI, vol. 16(13), pages 1-22, July.
    17. Yunyan Jiang & Feng Deng, 2022. "Multi-Dimensional Threshold Effects of the Digital Economy on Green Economic Growth?—New Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    18. 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.
    19. Junjun Tang & Xing Zhao, 2023. "Does the new digital infrastructure improve total factor productivity?," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 895-916, October.
    20. Suhan Zhang & Xue Li & Zhen Nie & Yan Wang & Danni Li & Xingpeng Chen & Yiping Liu & Jiaxing Pang, 2024. "The Significance of Agricultural Modernization Development for Agricultural Carbon Emission Efficiency in China," Agriculture, MDPI, vol. 14(6), pages 1-27, June.

    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:jlands:v:13:y:2024:i:8:p:1172-:d:1446147. 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.