[1] IEA. Oil products final consumption by sector[EB/OL].
(2020-01-10) [2020-04-02]. https: //iea. blob. core.
windows. net/ assets/ fffa1b7d- b0c5- 4e64- 86aa-
5c9421832d73/WORLDBAL_Documentation.pdf.
[2] CAIT. Historical GHG Emissions[EB/OL]. (2020-01-10) [2020-03-20]. http://cait.wri.org.
[3] YANG J, TANG L, MI Z, et al. Carbon emissions
performance in logistics at the city level[J]. Journal of
Cleaner Production, 2019, 231: 1258-1266.
[4] 李松庆, 裴艳丽. 中国物流业碳排放研究: 文献综述与展望[J]. 物流科技, 2019, 42(2): 12-17. [LI S Q, PEI Y
L. Research on carbon emission of logistics industry in
China: Literature review and prospect[J]. Logistics
Science and Technology, 2019, 42(2): 12-17.]
[5] 黄赶祥, 景崇毅, 王红岩. 碳排放约束下我国航空公司全要素生产率研究[J]. 交通运输系统工程与信息,
2018, 18(4): 19-24. [HUANG G X, JING C Y, WANG
H Y. Total factor productivity of china airlines under
carbon emission constraints[J]. Journal of Transportation
Systems Engineering and Information Technology, 2018,
18(4): 19-24. ]
[6] 戈艳艳, 王姗姗. 考虑碳排放的港口全要素生产率及影响因素分析[J]. 交通运输系统工程与信息,
2021, 21(2): 22-29. [GE Y Y, WANG S S. Total factor
productivity and influencing factors analysis for ports
considering carbon emissions[J]. Journal of
Transportation Systems Engineering and Information
Technology, 2021, 21(2): 22-29.]
[7] 秦新生. 物流企业碳排放指标计算方法研究[J]. 铁道运输与经济,2014, 36(7): 60-65. [QIN X S. Research
on calculation method of carbon emission index of
logistics enterprises[J]. Railway Transportation and
Economy, 2014, 36(7): 60-65.]
[8] WANG Z, HE W. CO2 emissions efficiency and marginal
abatement costs of the regional transportation sectors in
China[J]. Transportation Research Part D: Transport and
Environment, 2017, 50: 83-97.
[9] 王燕, 刘婷. 碳排放约束下我国区域物流能源效率及影响因素研究[J]. 生态经济,2018, 34(10): 14-18.
[WANG Y, LIU T. Research on energy efficiency and
influencing factors of regional logistics in China under
the constraint of carbon emissions[J]. Ecological
Economy, 2018, 34(10): 14-18.]
[10] 宋京妮, 吴群琪, 孙启鹏, 等. 基于SBM-undesirable 模型的综合运输效率评价[J]. 交通运输系统工程与信息, 2015, 15(5): 32-38. [SONG J N, WU Q Q, SUN
Q P, et al. SBM-undesirable model-based efficiency
evaluation for integrated transportation[J]. Journal of
Transportation Systems Engineering and Information
Technology, 2015, 15(5): 32-38.]
[11] TONE K. A slacks-based measure of efficiency in data
envelopment analysis[J]. European Journal of
Operational Research, 2001, 130: 498-509.
[12] 欧国立, 许畅然. 京津冀货运碳排放效率分析: 基于超效率SBM模型及ML指数[J]. 北京交通大学学报(社会科学版). 2020, 19(2): 48- 57. [OU G L, XU C R.
Analysis of freight transport carbon emission efficiency
in Beijing-Tianjin-Hebei: A study based on superefficiency SBM model and ML index[J]. Journal of
Beijing Jiaotong University (Social Sciences Edition),
2020, 19(2): 48-57.]
[13] TONE K. A slacks-based measure of super-efficiency in
data envelopment analysis[J]. European Journal of
Operational Research, 2002, 143: 32-41.
[14] TONE K. Dealing with undesirable outputs in DEA: A
Slacks-based Measure (SBM) approach[J]. GRIPS
Research Report Series, 2004, 2004: 44-45.
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