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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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    as
    1. Cojoianu, Theodor F. & Clark, Gordon L. & Hoepner, Andreas G.F. & Veneri, Paolo & Wójcik, Dariusz, 2020. "Entrepreneurs for a low carbon world: How environmental knowledge and policy shape the creation and financing of green start-ups," Research Policy, Elsevier, vol. 49(6).
    2. Wang, Wei-Zheng & Liu, Lan-Cui & Liao, Hua & Wei, Yi-Ming, 2021. "Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries," Energy Policy, Elsevier, vol. 151(C).
    3. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    4. Mao, Wenxin & Wang, Wenping & Sun, Huifang & Yao, Peiyi & Wang, Xiaolei & Luo, Dang, 2021. "Urban industrial transformation patterns under natural resource dependence: A rule mining technique," Energy Policy, Elsevier, vol. 156(C).
    5. Claudia Capozza & Sergio Salomone & Ernesto Somma, 2018. "Local industrial structure, agglomeration economies and the creation of innovative start-ups: evidence from the Italian case," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 30(7-8), pages 749-775, August.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Gugler, Klaus & Haxhimusa, Adhurim & Liebensteiner, Mario, 2021. "Effectiveness of climate policies: Carbon pricing vs. subsidizing renewables," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
    8. Severin Borenstein, 2012. "The Private and Public Economics of Renewable Electricity Generation," Journal of Economic Perspectives, American Economic Association, vol. 26(1), pages 67-92, Winter.
    9. Chen, Zhe & Song, Pei & Wang, Baolu, 2021. "Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data," Energy Policy, Elsevier, vol. 157(C).
    10. Xu, Bin & Luo, Yuemei & Xu, Renjing & Chen, Jianbao, 2021. "Exploring the driving forces of distributed energy resources in China: Using a semiparametric regression model," Energy, Elsevier, vol. 236(C).
    11. Borrás, Susana & Edquist, Charles, 2013. "The choice of innovation policy instruments," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1513-1522.
    12. Gao, Kang & Yuan, Yijun, 2021. "The effect of innovation-driven development on pollution reduction: Empirical evidence from a quasi-natural experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    13. Pan, Xiongfeng & Ai, Bowei & Li, Changyu & Pan, Xianyou & Yan, Yaobo, 2019. "Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 428-435.
    14. Xu, Bin & Lin, Boqiang, 2022. "Exploring the spatial distribution of distributed energy in China," Energy Economics, Elsevier, vol. 107(C).
    15. Ben Lahouel, Béchir & Taleb, Lotfi & Ben Zaied, Younes & Managi, Shunsuke, 2021. "Does ICT change the relationship between total factor productivity and CO2 emissions? Evidence based on a nonlinear model," Energy Economics, Elsevier, vol. 101(C).
    16. Rintala, Oskari & Laari, Sini & Solakivi, Tomi & Töyli, Juuso & Nikulainen, Reetta & Ojala, Lauri, 2022. "Revisiting the relationship between environmental and financial performance: The moderating role of ambidexterity in logistics," International Journal of Production Economics, Elsevier, vol. 248(C).
    17. Dong, Kangyin & Ren, Xiaohang & Zhao, Jun, 2021. "How does low-carbon energy transition alleviate energy poverty in China? A nonparametric panel causality analysis," Energy Economics, Elsevier, vol. 103(C).
    18. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    19. Yi, Ming & Wang, Yiqian & Sheng, Mingyue & Sharp, Basil & Zhang, Yao, 2020. "Effects of heterogeneous technological progress on haze pollution: Evidence from China," Ecological Economics, Elsevier, vol. 169(C).
    20. Sara Perotti & Lorenzo Bruno Prataviera & Marco Melacini, 2022. "Assessing the environmental impact of logistics sites through CO2eq footprint computation," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1679-1694, May.
    21. 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.
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    1. Zhengjun Hu & Shanshan Li, 2023. "Innovation-Driven Policy and Low-Carbon Technology Innovation: Research Driven by the Impetus of National Innovative City Pilot Policy in China," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    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.

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