Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China

doi:10.3390/ijerph17228459

CORC > 兰州理工大学 > 兰州理工大学 > 土木工程学院

	Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China
	Jiang, Xiaohong 1; Ma, Jianxiao 1; Zhu, Huizhe 1; Guo, Xiucheng 2; Huang, Zhaoguo 3
刊名	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
	2020-11-01
卷号	17 期号:22
关键词	logistics industry carbon emissions static efficiency dynamic efficiency super-slacks-based measuring model Malmquist index
DOI	10.3390/ijerph17228459
英文摘要	Carbon emissions from the logistics industry have been rising year after year. Correct handling of the relationship between economic development and environmental protection is of great significance to the implementation of green logistics, which is an important component of China's strategy for strong transportation. This paper focuses on the evaluation of the carbon emissions efficiency of logistics industry from a new strong transportation strategy perspective. A super-efficiency slack-based measurement (Super-SBM) model and Malmquist index are combined to evaluate the static and dynamic carbon emissions efficiency of the logistics industry. The results indicate that compared with the SBM model, the Super-SBM model can more effectively measure the carbon emissions efficiency of the logistics industry. Pilot regions for the strong transportation strategy were divided into two categories, namely regions with slow carbon emission growth rates but high efficiency, and regions with high carbon emission growth rates but low efficiency. Some policy recommendations from the strong transportation strategy perspective were proposed to improve the carbon emissions efficiency of the logistics industry, especially for the second category of pilot regions. This study is expected to provide a basis for decision-making for efficient emissions reduction measures and policies, and to encourage the pilot regions to take the lead in achieving the goal of China's strategy for transportation.
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种	英语
出版者	MDPI
WOS记录号	WOS:000594936600001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/155063]
专题	土木工程学院
作者单位	1.Nanjing Forestry Univ, Coll Automobile & Traff Engn, Longpan Rd 159, Nanjing 210037, Peoples R China; 2.Southeast Univ, Sch Transportat, Si Pai Lou 2, Nanjing 210096, Peoples R China; 3.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Xiaohong,Ma, Jianxiao,Zhu, Huizhe,et al. Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2020,17(22).
APA	Jiang, Xiaohong,Ma, Jianxiao,Zhu, Huizhe,Guo, Xiucheng,&Huang, Zhaoguo.(2020).Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,17(22).
MLA	Jiang, Xiaohong,et al."Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 17.22(2020).