Abstract
PurposeThe purpose of this study is to analyze the environmental efficiency level and trend of the transportation sector in the upper–mid–downstream of the Yangtze River Economic Belt and the JingJinJi region in China and assess the effectiveness of policies for protecting the low-carbon environment.Design/methodology/approachThis study uses the meta-frontier slack-based measure (SBM) approach to evaluate environmental efficiency, which targets and classifies specific regions into regional groups. First, this study employs the SBM with the undesirable outputs to construct the environmental efficiency measurement models of the four regions under the meta-frontier and group frontiers, respectively. Then, this study uses the technology gap ratio to evaluate the gap between the group frontier and the meta-frontier.FindingsThe analysis reveals several key findings: (1) the JingJinJi region and the downstream of the YEB had achieved the overall optimal production technology in transportation than the other two regions; (2) significant technology gaps in environmental efficiency were observed among these four regions in China; and (3) the downstream region of the YEB exhibited the lowest levels of energy consumption and excessive CO2 emissions.Originality/valueTo evaluate the differences in environmental efficiency resulting from regions and technological gaps in transportation, this study employs the meta-frontier model, which overcomes the limitation of traditional environmental efficiency methods. Furthermore, in the practical, the study provides the advantage of observing the disparities in transportation efficiency performed by the Yangtze River Economic Belt and the Beijing–Tianjin–Hebei regions.
Reference40 articles.
1. Statistical review of world energy 2022;British Petroleum,2022
2. Environmental efficiency analysis of transportation system in China: a non-radial DEA approach;Energy Policy,2013
3. Measuring the efficiency of decision making units;European Journal of Operational Research,1978
4. Efficiency measure on the truck restriction policy in China: a non-radial data envelopment model;Transportation Research Part A: Policy and Practice,2019
5. The evaluation of transportation energy efficiency: an application of three-stage virtual Frontier DEA;Transportation Research Part D: Transport and Environment,2014