Spatial Influence of Digital Economy on Carbon Emission Efficiency of the Logistics Industry across 30 Provinces in China
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- Kleiber, Christian, 2001.
"Finite sample efficiency of OLS in linear regression models with long-memory disturbances,"
Economics Letters, Elsevier, vol. 72(2), pages 131-136, August.
- Kleiber, Christian, 2000. "Finite sample efficiency of OLS in linear regression models with long-memory disturbances," Technical Reports 2000,34, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- Ran, Qiying & Yang, Xiaodong & Yan, Hongchuan & Xu, Yang & Cao, Jianhong, 2023. "Natural resource consumption and industrial green transformation: Does the digital economy matter?," Resources Policy, Elsevier, vol. 81(C).
- Popkova, Elena G. & Sergi, Bruno S., 2020. "A Digital Economy to Develop Policy Related to Transport and Logistics. Predictive Lessons from Russia," Land Use Policy, Elsevier, vol. 99(C).
- Kristoffersen, Eivind & Blomsma, Fenna & Mikalef, Patrick & Li, Jingyue, 2020. "The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies," Journal of Business Research, Elsevier, vol. 120(C), pages 241-261.
- Sainan Cheng & Guohua Qu, 2023. "Research on the Effect of Digital Economy on Carbon Emissions under the Background of “Double Carbon”," IJERPH, MDPI, vol. 20(6), pages 1-27, March.
- Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
- 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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Keywords
carbon emissions efficiency; digital economy; logistics industry; carbon efficiency; sustainability;All these keywords.
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