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The spatial spillover impact and transmission mechanisms of logistics agglomeration on eco-efficiency: A case study in China

Author

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  • Yao, Hua
  • Yu, Xinlian
  • Mao, Haijun
  • Bai, Dongling
  • Zhang, Shunfeng

Abstract

This study employs spatial durbin model (SDM) and spatial mediation model to empirically investigate the relationship between logistics agglomeration (LA) and logistics eco-efficiency (LEE), as well as the transmission mechanism role of technological innovation (TI) and advanced industrial structure (AIS), using panel data on inter-provincial logistics in China from 2008 to 2020. The findings indicate a U-shaped relationship between LA and LEE. The early development of LA in China was accompanied by environmental sacrifices. Further analysis of the curves reveals that LA has spatial spillover effect on LEE. That is, insufficient concentration of LA has a siphon effect on the LEE of surrounding areas, whereas appropriate concentration of LA has a radiation effect on the LEE of surrounding areas. Spatial mediation analysis indicates that enhancing TI and developing AIS are essential channels through which LA bolsters LEE. Additionally, this study innovatively incorporates topography ruggedness and altitude as instrumental variables to account for potential endogeneity issues in the empirical model. Theoretical and practical significance is attributed to this research for China's logistics industry, particularly shedding light on the optimization of efficiency and long-term improvement of LEE through spatial reform via agglomeration zones.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:308:y:2024:i:c:s0360544224026008
    DOI: 10.1016/j.energy.2024.132826
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    as
    1. 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.
    2. Xie, Ronghui & Teo, Thompson S.H., 2022. "Green technology innovation, environmental externality, and the cleaner upgrading of industrial structure in China — Considering the moderating effect of environmental regulation," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. 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).
    4. Chen, Yu & Lin, Boqiang, 2021. "Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development," Energy, Elsevier, vol. 237(C).
    5. Yu, Zidong & Wang, Haotian & Liu, Xintao, 2024. "Mobility heterogeneity of urban freight areas: Geospatial evidence from shared logistics dynamics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    6. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    7. Wu, Jianxin & Xu, Hui & Tang, Kai, 2021. "Industrial agglomeration, CO2 emissions and regional development programs: A decomposition analysis based on 286 Chinese cities," Energy, Elsevier, vol. 225(C).
    8. Balci, Gökcay, 2021. "Digitalization in container shipping: Do perception and satisfaction regarding digital products in a non-technology industry affect overall customer loyalty?," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    9. 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.
    10. Peng, Hui & Lu, Yaobin & Wang, Qunwei, 2023. "How does heterogeneous industrial agglomeration affect the total factor energy efficiency of China's digital economy," Energy, Elsevier, vol. 268(C).
    11. Qin, Quande & Yu, Ying & Liu, Yuan & Zhou, Jianqing & Chen, Xiude, 2023. "Industrial agglomeration and energy efficiency: A new perspective from market integration," Energy Policy, Elsevier, vol. 183(C).
    12. Qi, Guanqiu & Shi, Wenming & Lin, Kun-Chin & Yuen, Kum Fai & Xiao, Yi, 2020. "Spatial spillover effects of logistics infrastructure on regional development: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 96-114.
    13. Wei, Hairui & Lee, Paul Tae-Woo, 2021. "Designing a coordinated horizontal alliance system for China’s inland ports with China railway express platforms along the Silk Road Economic Belt," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    14. Du, Kerui & Cheng, Yuanyuan & Yao, Xin, 2021. "Environmental regulation, green technology innovation, and industrial structure upgrading: The road to the green transformation of Chinese cities," Energy Economics, Elsevier, vol. 98(C).
    15. Du, Gang & Li, Wendi, 2022. "Does innovative city building promote green logistics efficiency? Evidence from a quasi-natural experiment with 285 cities," Energy Economics, Elsevier, vol. 114(C).
    16. 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).
    17. Friedrich, Anne & Lange, Anne & Elbert, Ralf, 2022. "How additive manufacturing drives business model change: The perspective of logistics service providers," International Journal of Production Economics, Elsevier, vol. 249(C).
    18. 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).
    19. Yossi Sheffi & Maria Jesus Saenz & Liliana Rivera & David Gligor, 2019. "New forms of partnership: the role of logistics clusters in facilitating horizontal collaboration mechanisms," European Planning Studies, Taylor & Francis Journals, vol. 27(5), pages 905-931, May.
    20. Pan, Xiongfeng & Wang, Mengyang & Li, Mengna, 2023. "Low-carbon policy and industrial structure upgrading: Based on the perspective of strategic interaction among local governments," Energy Policy, Elsevier, vol. 183(C).
    21. Zhao, Xin & Nakonieczny, Joanna & Jabeen, Fauzia & Shahzad, Umer & Jia, Wenxing, 2022. "Does green innovation induce green total factor productivity? Novel findings from Chinese city level data," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    22. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    23. Zhang, Xiaoqian & Yao, Shujie & Zheng, Weiwei & Fang, Jing, 2023. "On industrial agglomeration and industrial carbon productivity --- impact mechanism and nonlinear relationship," Energy, Elsevier, vol. 283(C).
    24. 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).
    25. Chen, Huanyu & Yi, Jizheng & Chen, Aibin & Peng, Duanxiang & Yang, Jieqiong, 2023. "Green technology innovation and CO2 emission in China: Evidence from a spatial-temporal analysis and a nonlinear spatial durbin model," Energy Policy, Elsevier, vol. 172(C).
    26. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    27. Ding, Jian & Liu, Baoliu & Shao, Xuefeng, 2022. "Spatial effects of industrial synergistic agglomeration and regional green development efficiency: Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    28. Guan, Chiming & Hu, Qi, 2023. "Does high-speed railway impact urban logistics industry agglomeration? Empirical evidence from China's prefecture-level cities," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    29. 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).
    30. Yu, Xiaohong & Xu, Haiyan & Lou, Wengao & Xu, Xun & Shi, Victor, 2023. "Examining energy eco-efficiency in China's logistics industry," International Journal of Production Economics, Elsevier, vol. 258(C).
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