The Impact of the Freight Transport Modal Shift Policy on China’s Carbon Emissions Reduction

How to reduce the negative transport externalities, especially its carbon emissions, without having significant negative influence on economic and social development is the key for sustainable development in China. This paper explores the impacts of China’s recent modal shift policy on carbon emissions, summaries experience from China, and points out future development directions. The paper first compares the different energy consumption and carbon emissions between the road freight transport and the railways in China, and then has a scenarios analysis on China’s energy consumption and carbon emissions of the transport sector in 2025. The latest progress and major problems of modal shift policy in China are presented, and a methodology to address this problem is also proposed. Based on the methodology, we compare the benefits and costs brought by modal shift policy in the case of Ordos, Inner Mongolia. Based on the results, principles and suggestions on how to design and implement more efficient modal shift policy are proposed. We find that road transport is the most polluting mode among various modes of transport, and the railway transport has the least carbon emissions. Furthermore, the modal shift policy plays a positive role in carbon emissions, but the costs caused by the policy are higher than the benefits at some circumstances. Moreover, to achieve the sustainable modal shift policy by relying on the feasible market mechanism, together with scientific and effective regulation, instead of “one size for all” administrative policy, are likely the way forward

Efficiency benchmarking and its determinants in high-speed railways: Reference for China

The high-speed railway (HSR) performance has drawn considerable attention from international scholars and policymakers. One heatedly-discussed topic is measuring HSR efficiency and its important determinants, particularly HSR organizational structures. The main contribution of our research is the adoption of the multistage Network Data Envelopment Analysis (DEA) and Tobit Model, which provides a rational and coherent method to address this issue. We select the dataset from main HSR countries during the period of 2009–2018, and rank the efficiency of HSRs of different countries. Subsequently we examine the relationship between HSR efficiency and characteristic determinants, along with geographical and economic indicators that may influence the model. The results have revealed the HSR productivity difference do exist among countries. Overall, Asia’s HSR systems demonstrate higher efficiency compared to those in Europe; while China’s HSR efficiency ranks medium in the HSR multi-stages chain but higher in the service stage. Furthermore, the determinants of organizational structure can significantly effect on the effectiveness of HSR systems under a certain transport density threshold. In conclusion, regulators and operators should endeavor to increase traffic by meeting the demand to improve system efficiency. For China, focusing on vertical integration should be the key aspect of future HSR reform