Effects of regional freight structure and energy intensity on CO2 emission of transport—a case study in Yangtze River Delta

Abstract

Taking the Yangtze River Delta (YRD) of China as the research area, this paper studies the influence of freight structure adjustment and energy intensity on carbon dioxide (CO2) emission from the transportation industry. Sample data from 1990 to 2019 are selected, and co-integration analysis is performed using three independent variables: energy intensity, turnover ratio of railway to highway (R/H), and turnover ratio of railway to waterway (R/W). Then, an autoregressive distribution lag-error correction model (ARDL-ECM) is established to estimate the long-run and short-run relationships among the variables through unit root test, autoregressive distributed lag (ARDL) boundary test, and Granger test. The results show that in the long run, the growth of energy intensity leads to the long-term growth of CO2 emission in the transportation sector of the YRD, and R/W and R/H have a suppressive effect on CO2 emission. Granger causality indicates that there is a bidirectional causal relationship between energy intensity and CO2 emission. This work can be a reference for government departments to formulate policies related to carbon emissions in the transportation industry.

Keywords:

• autoregressive distribution lag-error correction model
• CO2 emission
• energy intensity
• freight structure
• Granger test

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This research was supported by Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China (Grant: 23A10254002), and National Natural Science Foundation of China (Grant: 72074141, 72361137003).