IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i6d10.1007_s10668-023-03268-z.html
   My bibliography  Save this article

Efficiency evaluation of regional logistics industry and its influencing factors under low-carbon constraints

Author

Listed:
  • Xueqiang Guo

    (Henan Agricultural University)

  • Bingjun Li

    (Henan Agricultural University)

Abstract

Energy shortage and excessive carbon emissions have become the main constraints to the sustainable development of China’s logistics industry. Improving the efficiency of the logistics industry is crucial to promoting regional ecological environment protection and sustainable development of the logistics industry. In this paper, the efficiency of China’s logistics industry in 2013–2019 is evaluated by using the non-oriented EBM model considering the unexpected output, and then the influencing factors of the efficiency of the logistics industry in the central region are analyzed by using the panel Tobit model. The results show that the logistics industry in the central region is at a low efficiency level. Factors, such as the level of economic development, industrial structure and technical level have a significant positive impact on the efficiency of the logistics industry in the central region, while factors such as government support and logistics infrastructure have a significant negative impact on the efficiency of the logistics industry in the central region. Finally, the paper puts forward some targeted recommendations for the sustainable development of the logistics industry in the central region.

Suggested Citation

  • Xueqiang Guo & Bingjun Li, 2024. "Efficiency evaluation of regional logistics industry and its influencing factors under low-carbon constraints," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 15667-15679, June.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:6:d:10.1007_s10668-023-03268-z
    DOI: 10.1007/s10668-023-03268-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03268-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-023-03268-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. George Lăzăroiu & Luminița Ionescu & Mihai Andronie & Irina Dijmărescu, 2020. "Sustainability Management and Performance in the Urban Corporate Economy: A Systematic Literature Review," Sustainability, MDPI, vol. 12(18), pages 1-13, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lianjie Tang & Yabin Zhao & Xiaojie Zheng & Shiang Ma, 2025. "Pathways to Improve Energy Conservation and Emission Reduction Efficiency During the Low-Carbon Transformation of the Logistics Industry," Sustainability, MDPI, vol. 17(10), pages 1-20, May.

    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. Cherry C. I. Lau & Christina W. Y. Wong, 2024. "Achieving sustainable development with sustainable packaging: A natural‐resource‐based view perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4766-4787, July.
    2. Xiaode Ji & Yanzhao Su & Yue Zhang & Hui Wang, 2023. "Making Our Firm More Sustainable: The Role of CEO Vision Communication of Sustainability on Sustainability Performance," SAGE Open, , vol. 13(4), pages 21582440231, November.
    3. Georgi V. Georgiev & Vijayakumar Nanjappan, 2023. "Sustainability Considerations in Digital Fabrication Design Education," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
    4. Anastasia Vayona & Giorgos Demetriou & Heather Hartwell & Robert Britton & Phillipa Gillingham, 2024. "A consumer attributions‐based approach for investigating the effect of corporate greenwashing on wishcycling," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 6732-6747, December.
    5. Kwaku Addai & Sema Yılmaz Genç & Rui Alexandre Castanho & Gualter Couto & Ayhan Orhan & Muhammad Umar & Dervis Kirikkaleli, 2023. "Financial Risk and Environmental Sustainability in Poland: Evidence from Novel Fourier-Based Estimators," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    6. Weiyu Zhang & Xinyue Li & Shaowei Liu & Jong-wook Kwon, 2023. "The Chairman’s Rural Origin and Short-Term Expenditures in China," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    7. Narciz Balasoiu & Iulian Chifu & Marian Oancea, 2023. "Impact of Direct Taxation on Economic Growth: Empirical Evidence Based on Panel Data Regression Analysis at the Level of Eu Countries," Sustainability, MDPI, vol. 15(9), pages 1-32, April.
    8. Marek Nagy & George Lăzăroiu, 2022. "Computer Vision Algorithms, Remote Sensing Data Fusion Techniques, and Mapping and Navigation Tools in the Industry 4.0-Based Slovak Automotive Sector," Mathematics, MDPI, vol. 10(19), pages 1-22, September.
    9. Petrică-Dumitru BECHEȘ & Flavia Gabriela ANGHEL, 2025. "Corporate Governance and Performance. Insights from a Bibliometric Perspective for an Emerging Country," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 6(2), pages 59-77, February.
    10. Rong Liu & Min Zhao & Jianyu Ren, 2022. "The Influence Mechanism of Corporate Environmental Responsibility on Corporate Performance: The Mediation Effect of Green Innovation," Sustainability, MDPI, vol. 14(17), pages 1-27, September.
    11. Tobias Reisberger & Philip Reisberger & Lukáš Copuš & Peter Madzík & Lukáš Falát, 2025. "The Linkage Between Digital Transformation and Organizational Culture: Novel Machine Learning Literature Review Based on Latent Dirichlet Allocation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 2082-2118, March.
    12. Haoyang Lu & Jing Tong & Yajiao Tang, 2022. "Analysis of Green Credit and the Ecological Welfare Performance Based on Empirical Models and ARIMA(2,3,2): Taking China as an Example," Sustainability, MDPI, vol. 14(19), pages 1-15, September.
    13. Dan-Cristian Dabija & Luiela Magdalena Csorba & Florin-Lucian Isac & Sergiu Rusu, 2023. "Managing Sustainable Sharing Economy Platforms: A Stimulus–Organism–Response Based Structural Equation Modelling on an Emerging Market," Sustainability, MDPI, vol. 15(6), pages 1-22, March.
    14. Jiyun Kang & Assemgul Bissenbina & Amy A. Faria & Jisu Jang, 2024. "Psychological ownership rather than material consumption: Can fashion firms' new subscription services become an environmentally sustainable business strategy?," Business Strategy and the Environment, Wiley Blackwell, vol. 33(3), pages 1592-1609, March.
    15. Dandong Ge & Yanyan Zheng & Shenning Zhang & Jiayi Fu & Fei Su, 2022. "Spatio-Temporal Pattern and Influence Mechanism of Rural Human Settlements System Resilience: Case from China," Sustainability, MDPI, vol. 14(21), pages 1-24, November.
    16. Ruize Cai & Kyung Hwan Yun & Minho Kim, 2022. "Financing Constraints and Corporate Value in China: The Moderating Role of Multinationality and Ownership Type," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    17. Urška Butolen & Igor Vrečko & Iztok Palčič, 2025. "A Taxonomy of Critical Success Factors for Implementing Corporate Sustainability Strategies: A Systematic Review," Sustainability, MDPI, vol. 17(12), pages 1-24, June.
    18. Jonathan Gumz & Diego Castro Fettermann & Enzo Morosini Frazzon & Mirko Kück, 2022. "Using Industry 4.0’s Big Data and IoT to Perform Feature-Based and Past Data-Based Energy Consumption Predictions," Sustainability, MDPI, vol. 14(20), pages 1-34, October.
    19. Tomas Kliestik & Marek Nagy & Katarina Valaskova, 2023. "Global Value Chains and Industry 4.0 in the Context of Lean Workplaces for Enhancing Company Performance and Its Comprehension via the Digital Readiness and Expertise of Workforce in the V4 Nations," Mathematics, MDPI, vol. 11(3), pages 1-21, January.
    20. Yi Shen & Qingsong Ruan, 2022. "Accounting Conservatism, R&D Manipulation, and Corporate Innovation: Evidence from China," Sustainability, MDPI, vol. 14(15), pages 1-25, July.

    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:spr:endesu:v:26:y:2024:i:6:d:10.1007_s10668-023-03268-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.