Carbon emissions performance in logistics at the city level

JOURNAL OF CLEANER PRODUCTION

卷:231

Article

Yang, Junai¹  Tang, Ling¹  Mi, Zhifu²  Liu, Sen³  Li, Ling⁴  Zheng, Jiali^2,5,6 

[1] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China

[2] UCL, Bartlett Sch Construct & Project Management, London WC1E 7HB, England

[3] Yunnan Univ Finance & Econ, Sch Logist, Kunming 650221, Yunnan, Peoples R China

[4] Capital Univ Econ & Business, Int Sch Econ & Management, Beijing 100070, Peoples R China

[5] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China

[6] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China

关键词: Carbon emissions performance;    Logistics industry;    City level;    Data envelopment analysis;    Malmquist index;   

DOI  :  10.1016/j.jclepro.2019.05.330

来源: Elsevier

【 摘 要 】

The importance of good performance in the logistics industry contributing towards a low-carbon economy is widely recognised. However, there are few studies on carbon emissions performance for the logistics industry, especially at the city level. Therefore, this study attempts to analyse the carbon emissions performance of the logistics industry at the city level by examining sixteen cities within Yunnan Province. In particular, the Data envelopment analysis (DEA) model and Malmquist index from both the static and dynamic perspective were explored. To further capture the driving factors of the carbon emissions performance in logistics, the Tobit model was applied to perform regression analysis. The results indicate that (1) with regards to static performance, two northwest cities, Nujiang and Diqing, have reached the technological frontier; (2) regarding dynamic performance, although six cities have improved, the average dynamic logistics carbon emissions performance of all the cities decreases by approximately 5.9% from 2011 to 2015; (3) in terms of driving factors, the economic development factor is found to be positively and significantly related to static carbon emissions performance, whereas others indicate negative and significant relationships. (C) 2019 Elsevier Ltd. All rights reserved.

【 授权许可】

Free