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Does innovative city building promote green logistics efficiency? Evidence from a quasi-natural experiment with 285 cities

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  • Du, Gang
  • Li, Wendi

Abstract

The logistics industry created serious environmental pollution problems in China, and whether innovation-driven development can promote urban green logistics remains is unclear. We construct indicators of input, desirable output, and undesirable output and use an SBM-DEA model based on slack variable measurement to accurately measure 285 Chinese cities' green logistics efficiency. Second, using the balanced panel statistics of these 285 cities from 2005 to 2019, we take the pilot policy of innovative cities as a quasi-natural experiment and implement a time-varying difference-in-differences simulation to discover its impact on green logistics efficiency. The results show that, first, innovative cities can effectively improve the efficiency of green logistics at a statistically significant level. Second, the innovative cities pilot policy can drive green logistics efficiency considering regional, city scale, and circulation network heterogeneity. The policy additionally plays a powerful part in boosting green logistics efficiency, especially in western, northern, large-scale, and circulation node cities. Third, the innovative city strategy has an influence on the effectiveness of green logistics by way of increasing the degree of green technology innovation and enhancing the government's strategic direction. We present new empirical evidence for policy implementation and useful information for promoting urban innovation construction, pollution prevention, emission reduction, and the creation of a wonderful China.

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  • 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).
    • Handle: RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322004492
    DOI: 10.1016/j.eneco.2022.106320
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    2. Bangjun Wang & Yu Tian, 2023. "Green and Low-Carbon Efficiency Assessment of Urban Agglomeration Logistics Industry: Evidence from China’s Beijing-Tianjin-Hebei Metropolitan Area (2008–2020)," Sustainability, MDPI, vol. 15(15), pages 1-18, August.
    3. Guo, Bingnan & Wang, Yu & Zhang, Hao & Liang, Chunyan & Feng, Yu & Hu, Feng, 2023. "Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities," Economic Modelling, Elsevier, vol. 120(C).
    4. Chishti, Muhammad Zubair & Sinha, Avik & Zaman, Umer & Shahzad, Umer, 2023. "Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk," Energy Economics, Elsevier, vol. 119(C).
    5. Qingwei Shi & Yupeng Hu & Tiecheng Yan, 2023. "A Study on the Effect of Innovation-Driven Policies on Industrial Pollution Reduction: Evidence from 276 Cities in China," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    6. Liu, Hongwei & Shao, Liangyu & Min, Jie & Ji, Xiang, 2024. "Regional differences and determinants of environmental efficiency in China's road transportation industry," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 931-946.
    7. Tian, Jinfang & Sun, Siyang & Cao, Wei & Bu, Di & Xue, Rui, 2024. "Make every dollar count: The impact of green credit regulation on corporate green investment efficiency," Energy Economics, Elsevier, vol. 130(C).
    8. Maria Siddiqui & Ayman Taj & Saira Jessani & Asadullah Lakho, 2024. "The Effects of Green Procurement, Green Production, and Green Logistics in the Overall Performance of Green Supply Chain Management," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(3), pages 67-78.

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