IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i17p7978-d1742154.html

The Impact of Logistics Industry Clustering on Green Total Factor Productivity: Evidence from China

Author

Listed:
  • Yanmiao Cai

    (School of Economics and Management, Hunan University of Technology, Zhuzhou 412007, China)

  • Yuge Zhang

    (College of Economics, Ocean University of China, Qingdao 266100, China)

  • Yuki Gong

    (College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA)

  • Willa Li

    (College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA
    Business School, University of Auckland, Auckland 1010, New Zealand)

  • Frank Li

    (College of Economics, Ocean University of China, Qingdao 266100, China
    College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA)

Abstract

Although logistics underpins the spatial architecture of supply chains, the causal contribution of logistics industry clustering to green total factor productivity (GTFP) remains under-identified relative to aggregate or manufacturing clustering. This study investigates both the local and spatial spillover effects of logistics industry clustering on green total factor productivity, utilizing panel data from 30 Chinese provinces spanning 2010 to 2023. The empirical results demonstrate that logistics industry clustering significantly enhances green total factor productivity within the local province and generates robust positive spillover effects in adjacent regions. Regional heterogeneity analysis reveals that in the eastern provinces, clustering of the logistics industry bolsters green total factor productivity both locally and regionally. In contrast, in the central region, such clustering only benefits neighboring provinces, while in the western region, its impact is not statistically significant for either local or neighboring green total factor productivity. Temporal heterogeneity analysis further indicates that the positive influence of logistics industry clustering on green total factor productivity has become more pronounced since 2018.Additionally, spatial mediation effect analysis uncovers that improvements in local green total factor productivity stem from logistics industry clustering’s capacity to enhance resource allocation efficiency and foster industrial upgrading. Notably, the spatial spillover effect dissipates entirely beyond a distance of 350 km. These findings establish logistics industry clustering as a high-leverage, cross-boundary tool for aligning regional logistics planning with green objectives, delineating the effective radius of collaboration to internalize externalities and providing practical guidance for developing economies.

Suggested Citation

  • Yanmiao Cai & Yuge Zhang & Yuki Gong & Willa Li & Frank Li, 2025. "The Impact of Logistics Industry Clustering on Green Total Factor Productivity: Evidence from China," Sustainability, MDPI, vol. 17(17), pages 1-27, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:7978-:d:1742154
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/17/7978/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/17/7978/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Tao & Zhuang, Xintian & Li, Mingcao, 2025. "How supplier concentration influences labor income share: Evidence from China," Finance Research Letters, Elsevier, vol. 73(C).
    2. Peter J. Hylton & Catherine L. Ross, 2018. "Agglomeration economies’ influence on logistics clusters’ growth and competitiveness," Regional Studies, Taylor & Francis Journals, vol. 52(3), pages 350-361, March.
    3. Qian Zhang & Ye Tao & Conghu Liu, 2023. "Synergistic Agglomeration of Manufacturing and Logistics Industries and Urban Green Economy Efficiency: Influence and Upgrading," Mathematical Problems in Engineering, Hindawi, vol. 2023, pages 1-19, February.
    4. Kun Cheng & Jianhui Yin & Feiyan Wang & Min Wang, 2025. "The impact pathway of new quality productive forces on regional green technology innovation: A spatial mediation effect based on intellectual property protection," PLOS ONE, Public Library of Science, vol. 20(4), pages 1-22, April.
    5. Wang, Jianda & Guo, Dongsheng, 2023. "Siphon and radiation effects of ICT agglomeration on green total factor productivity: Evidence from a spatial Durbin model," Energy Economics, Elsevier, vol. 126(C).
    6. Yang, Haoran & Chen, Qiu, 2025. "Material balance and correction for the measurement of green total factor productivity growth," Energy Economics, Elsevier, vol. 148(C).
    7. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    8. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    9. van den Heuvel, Frank P. & de Langen, Peter W. & van Donselaar, Karel H. & Fransoo, Jan C., 2013. "Regional logistics land allocation policies: Stimulating spatial concentration of logistics firms," Transport Policy, Elsevier, vol. 30(C), pages 275-282.
    10. Setiawan, Fran & Bektaş, Tolga & Iris, Çağatay, 2025. "The role of hubs and economies of scale in network expansion," Omega, Elsevier, vol. 131(C).
    11. Jiangfeng Hu & Xiaofang Zhang & Tingting Wang, 2022. "Spatial Spillover Effects of Resource Misallocation on the Green Total Factor Productivity in Chinese Agriculture," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    12. Ding, Heping & Liu, Conghu, 2024. "Carbon emission efficiency of China's logistics industry: Measurement, evolution mechanism, and promotion countermeasures," Energy Economics, Elsevier, vol. 129(C).
    13. Wang, Lan & Tao, Jia & Sun, Wenyao & Chen, Chia-Lin & Chen, Zhenhua & Lin, Po-Chen & Vickerman, Roger, 2025. "Impacts of high-speed rail on new firm formation and economic clustering: Evidence from Suzhou, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 198(C).
    14. David L. Rigby & W. Mark Brown, 2015. "Who Benefits from Agglomeration?," Regional Studies, Taylor & Francis Journals, vol. 49(1), pages 28-43, January.
    15. Wang, Yafei & Bai, Ying & Quan, Tianshu & Ran, Rong & Hua, Lei, 2023. "Influence and effect of industrial agglomeration on urban green total factor productivity—On the regulatory role of innovation agglomeration and institutional distance," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1158-1173.
    16. Rivera, Liliana & Sheffi, Yossi & Knoppen, Desirée, 2016. "Logistics clusters: The impact of further agglomeration, training and firm size on collaboration and value added services," International Journal of Production Economics, Elsevier, vol. 179(C), pages 285-294.
    17. Fang, Guanfu & Gao, Tiantian & Xu, Peng, 2024. "Beyond the borders: Estimating the effect of China's Bonded Zones on innovation and its spillovers," China Economic Review, Elsevier, vol. 83(C).
    18. Nefs, Merten & van Haaren, Jeroen & van Oort, Frank, 2023. "The limited regional employment benefits of XXL-logistics centres in the Netherlands," Journal of Transport Geography, Elsevier, vol. 109(C).
    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. Yao, Hua & Yu, Xinlian & Mao, Haijun & Bai, Dongling & Zhang, Shunfeng, 2024. "The spatial spillover impact and transmission mechanisms of logistics agglomeration on eco-efficiency: A case study in China," Energy, Elsevier, vol. 308(C).
    2. Wang, Miao & Wu, Yi & Zhang, Xinmin & Lei, Lei, 2024. "How does industrial agglomeration affect internal structures of green economy in China? An analysis based on a three-hierarchy meta-frontier DEA and systematic GMM approach," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    3. Rendao Ye & Yue Qi & Wenyan Zhu, 2023. "Impact of Agricultural Industrial Agglomeration on Agricultural Environmental Efficiency in China: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    4. Yang, Senmiao & Jiang, Wanxin & Wang, Jianda, 2025. "How does ICT agglomeration promote green technology innovation? Evidence from Yangtze River Delta in China," Energy Economics, Elsevier, vol. 147(C).
    5. Liu, Sijing & He, Nannan & Cao, Xindan & Li, Guoqi & Jian, Ming, 2022. "Logistics cluster and its future development: A comprehensive research review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    6. Li, Hongmei & Xu, Ruizhe, 2023. "How does digital finance affect the efficiency of urban green economies? Evidence from China," Finance Research Letters, Elsevier, vol. 58(PD).
    7. Bongsuk Sung & Yu-Cheng Lin & Sang-Do Park, 2025. "Industrial Robots and Green Productivity: Evidence from Global Panel Data on High-Quality Economic Development," Sustainability, MDPI, vol. 17(16), pages 1-26, August.
    8. Xu Ruifan & Hao Dequan & Ding Yun & Liu Wenxin, 2026. "Industrial agglomeration, environmental regulation, and high‐quality development in rural China: From the perspective of spatial effect," Natural Resources Forum, Blackwell Publishing, vol. 50(1), pages 469-501, February.
    9. Meiling He & Jiaren Shen & Xiaohui Wu & Jianqiang Luo, 2018. "Logistics Space: A Literature Review from the Sustainability Perspective," Sustainability, MDPI, vol. 10(8), pages 1-24, August.
    10. Jingui Yue & Heying Duan, 2024. "The Influence of New Energy Industry Agglomeration on Regional Green Innovation Performance—Evidence from China," Sustainability, MDPI, vol. 16(5), pages 1-23, February.
    11. Zhang, Hua & Xu, Tiantian & Feng, Chao, 2022. "Does public participation promote environmental efficiency? Evidence from a quasi-natural experiment of environmental information disclosure in China," Energy Economics, Elsevier, vol. 108(C).
    12. Kewei Wang & Kekun Fan & Yuhong Chen, 2025. "Optimization of Logistics Distribution Centers Based on Economic Efficiency and Sustainability: Data Support from the Hohhot–Baotou–Ordos–Ulanqab Urban Agglomeration," Sustainability, MDPI, vol. 17(7), pages 1-47, April.
    13. Shengyan Xu & Miao Liu & Ping Hua & Yibo Chen, 2024. "How Has Land Restriction Policy Influenced Green Total Factor Productivity? Evidence from Chinese Cities," Land, MDPI, vol. 13(12), pages 1-26, December.
    14. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    15. Atris, Amani Mohammed & Goto, Mika, 2019. "Vertical structure and efficiency assessment of the US oil and gas companies," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    16. Liying Zheng & Fangjuan Zhan & Fangrong Ren, 2025. "Carbon Dioxide Emission-Reduction Efficiency in China’s New Energy Vehicle Sector Toward Sustainable Development: Evidence from a Three-Stage Super-Slacks Based-Measure Data Envelopment Analysis Model," Sustainability, MDPI, vol. 17(16), pages 1-26, August.
    17. Yifang Sun, 2026. "A multi-scalar “Point-Line-Area” framework for evaluating industrial agglomeration: a case study of China’s Yellow River π-shaped curve area," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 75(2), pages 1-22, June.
    18. Badunenko, Oleg & Galeotti, Marzio & Hunt, Lester C., "undated". "Better to grow or better to improve? Measuring environmental efficiency in OECD countries with a Stochastic Environmental Kuznets Frontier," FEEM Working Papers 316226, Fondazione Eni Enrico Mattei (FEEM).
    19. Nils Grashof, 2020. "Sinking or swimming in the cluster labour pool? A firm-specific analysis of the effect of specialized labour," Jena Economics Research Papers 2020-006, Friedrich-Schiller-University Jena.
    20. Zhe Xu & Ying Wang & Xiaoliang Shi & Yingying Qiu & Chunzi Su & Dan He, 2025. "The Impact of Environmental Subsidies and Enforcement on Green Innovation: Evidence from Heavy-Polluting Enterprises in China," Sustainability, MDPI, vol. 17(3), pages 1-25, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:17:y:2025:i:17:p:7978-:d:1742154. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.