文献类型：期刊文献

英文题名：High-speed rail and CO2 emissions in urban China: A spatial difference-in-differences approach

作者：Jia, Ruining[1];Shao, Shuai[2];Yang, Lili[3]

机构：[1]Shanghai Univ Finance & Econ, Sch Urban & Reg Sci, Shanghai 200433, Peoples R China;[2]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[3]Shanghai Lixin Univ Accounting & Finance, Sch Int Econ & Trade, Shanghai 201209, Peoples R China

年份：2021

卷号：99

外文期刊名：ENERGY ECONOMICS

收录：;EI(收录号：20211710241022);WOS:【SSCI(收录号:WOS:000664769400015)】；

基金：We acknowledge the financial support from the National Natural Science Foundation of China (Nos. 72074150, 71922015, and 71773075) , the Major Project of National Social Science Foundation of China (No. 21ZDA084) , and Shanghai Soft Science Research Program (No. 20692103100) .

语种：英文

外文关键词：High-speed rail; Urban CO2 emissions; Service intensity; Spatial difference-in-differences model; Spatial spillover effect; China

摘要：As the most important emerging transportation technology, high-speed rail (HSR) can reshape regional economic development patterns and exert an important effect on the ecological environment. Using a panel data set of 275 Chinese cities at the prefecture level and above from 2003 to 2014, this study is the first to adopt a continuous spatial difference-in-differences (SDID) model to investigate the effect and its mechanism of HSR service intensity on CO2 emissions. A series of robustness tests are performed, including the placebo test and using the propensity score matching method combined with the SDID (PSM-SDID) model. We also conduct a heterogeneity analysis using a spatial difference-in-difference-in-differences (SDDD) model. The results show that an in-crease in HSR service intensity significantly reduces urban CO2 emissions, resulting from the effects of transportation substitution, market integration, industrial structure, and technological innovation. Meanwhile, such an increase inhibits CO2 emissions in neighboring cities with a spatial attenuation boundary of 1000 km. On average, for every addition of 100 HSR trains in a city, the total CO2 emissions can be reduced by 0.14%. Moreover, the CO2 emission reduction effect of HSR is more significant in eastern China, large cities, and resource-based cities. However, higher levels of HSR service intensity in large cities and resource-based cities are not conducive to reducing CO2 emissions in neighboring cities. These findings can help to accurately evaluate the social benefits of expanding HSR networks and provide an important decision-making reference for climate governance during the era of HSR. (C) 2021 Elsevier B.V. All rights reserved.