IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i18p8086-d1479042.html
   My bibliography  Save this article

Spatial Influence of Digital Economy on Carbon Emission Efficiency of the Logistics Industry across 30 Provinces in China

Author

Listed:
  • Yuxia Guo

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
    Business School, Suzhou University, Suzhou 234000, China)

  • Xue Wu

    (Business School, Suzhou University, Suzhou 234000, China)

  • Heping Ding

    (Business School, Suzhou University, Suzhou 234000, China)

  • Zhouyu Tian

    (Business School, Suzhou University, Suzhou 234000, China)

Abstract

The logistics industry (LI) is a key pillar of the global economy, and its carbon emission efficiency (CEE) is crucial for achieving carbon neutrality. The rapid development of the digital economy (DE) has had a profound impact on the LI, but the spatial impact on its CEE is currently unclear and requires further research. Firstly, based on the collection of relevant data, we use the entropy weight method and linear weighted sum method to measure the level of development of the DE. Secondly, the SBM model is used to measure the CEE level of the LI. Using Moran’s I index model and OLS and GWR models, we analyze the impact and spatial distribution characteristics of the DE on the CEE of the LI and propose development strategies. The article uses statistical data from 30 provinces in China from 2013 to 2022 as an example to demonstrate the implementation process of the method. The results show that the DE has a positive impact on the CEE of the LI, and there are spatial differences. Based on this, this article proposes policy recommendations for the development of green and low-carbon logistics and digital logistics that are tailored to local conditions, providing theoretical and methodological support for low-carbon research in the LI, and providing reference for other countries and regions to explore the path of green and low-carbon transformation.

Suggested Citation

  • Yuxia Guo & Xue Wu & Heping Ding & Zhouyu Tian, 2024. "Spatial Influence of Digital Economy on Carbon Emission Efficiency of the Logistics Industry across 30 Provinces in China," Sustainability, MDPI, vol. 16(18), pages 1-20, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:8086-:d:1479042
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/18/8086/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/18/8086/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kleiber, Christian, 2001. "Finite sample efficiency of OLS in linear regression models with long-memory disturbances," Economics Letters, Elsevier, vol. 72(2), pages 131-136, August.
    2. 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).
    3. Popkova, Elena G. & Sergi, Bruno S., 2020. "A Digital Economy to Develop Policy Related to Transport and Logistics. Predictive Lessons from Russia," Land Use Policy, Elsevier, vol. 99(C).
    4. Kristoffersen, Eivind & Blomsma, Fenna & Mikalef, Patrick & Li, Jingyue, 2020. "The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies," Journal of Business Research, Elsevier, vol. 120(C), pages 241-261.
    5. Sainan Cheng & Guohua Qu, 2023. "Research on the Effect of Digital Economy on Carbon Emissions under the Background of “Double Carbon”," IJERPH, MDPI, vol. 20(6), pages 1-27, March.
    6. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    7. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    8. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    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. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    2. Xingneng Xia & Ruoxi Yu & Sheng Zhang, 2023. "Evaluating the Impact of Smart City Policy on Carbon Emission Efficiency," Land, MDPI, vol. 12(7), pages 1-18, June.
    3. Xiaodan Gao & Jinbao Li, 2024. "China’s Digital Economy: A Dual Mission of Carbon-Emission Reduction and Efficiency Enhancement," Sustainability, MDPI, vol. 16(6), pages 1-21, March.
    4. Jian Hou & Mengyao Zhang & Ye Li, 2024. "Can digital economy truly improve agricultural ecological transformation? New insights from China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    5. Wang, Xiaoqing & Qin, Chuan & Liu, Yufeng & Tanasescu, Cristina & Bao, Jiangnan, 2023. "Emerging enablers of green low-carbon development: Do digital economy and open innovation matter?," Energy Economics, Elsevier, vol. 127(PA).
    6. Mingyue Chen & Shuting Wang & Xiaowen Wang, 2024. "How Does Artificial Intelligence Impact Green Development? Evidence from China," Sustainability, MDPI, vol. 16(3), pages 1-23, February.
    7. Pan, Junyu & Peng, Jie & Yang, Xiaodong & Xuan, Siyuan, 2023. "Does water rights trading promote resources utilisation efficiency and green growth? Evidence from China's resources trading policy," Resources Policy, Elsevier, vol. 86(PB).
    8. Yue Cheng & Dong Zheng, 2023. "Does the Digital Economy Promote Coordinated Urban–Rural Development? Evidence from China," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    9. Aihua Shen & Rui Wang, 2023. "Digital Transformation and Green Development Research: Microscopic Evidence from China’s Listed Construction Companies," Sustainability, MDPI, vol. 15(16), pages 1-31, August.
    10. Siliang Guo & Yanhua Diao & Junliang Du, 2022. "Coupling Coordination Measurement and Evaluation of Urban Digitalization and Green Development in China," IJERPH, MDPI, vol. 19(22), pages 1-32, November.
    11. Xianwang Lv & Yingming Zhu & Jiazhen Du, 2024. "Can Regional Integration Policies Enhance the Win–Win Situation of Economic Growth and Environmental Protection? New Evidence for Achieving Carbon Neutrality Goals," Sustainability, MDPI, vol. 16(4), pages 1-22, February.
    12. Minjie Li & Mengjun Meng & Yihui Chen, 2024. "The impact of the digital economy on green innovation: the moderating role of fiscal decentralization," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    13. Linxiong Chen & Changbiao Zhong & Chong Li, 2022. "Research on the Impact of the Digital Economy on China’s New-Type Urbanization: Based on Spatial and Mediation Models," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    14. Liuhua Fang & Bin Zhao & Wenyu Li & Lixia Tao & Luyao He & Jianyu Zhang & Chuanhao Wen, 2023. "Impact of Digital Finance on Industrial Green Transformation: Evidence from the Yangtze River Economic Belt," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    15. Hongdan Xu & Jiuhe Wang, 2024. "Digital Economy, Regional Cooperative Innovation and Green Innovation Efficiency: Game Model and Empirical Evidence Based on Regions in China," Sustainability, MDPI, vol. 16(12), pages 1-18, June.
    16. Ping Dong & Yuteng Zhu & Shengsen Duan & Minling Wu & Jiangdong Bao, 2023. "How Does the Digital Economy Promote a Culture of Business Innovation? A Study Based on Human Capital Allocation Perspective," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    17. Li, Haichao & Su, Yuqi & Ding, Chante Jian & Tian, Gary Gang & Wu, Zhan, 2024. "Unveiling the green innovation paradox: Exploring the impact of carbon emission reduction on corporate green technology innovation," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    18. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.
    19. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, January.
    20. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.

    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:18:p:8086-:d:1479042. 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.