Estimating the economic benefits of high-speed rail in China: A new perspective from the connectivity improvement

التفاصيل البيبلوغرافية
العنوان: Estimating the economic benefits of high-speed rail in China: A new perspective from the connectivity improvement
المؤلفون: Chenglin Qin, Zhenhua Chen, Zhaohui Chong
المصدر: Journal of Transport and Land Use, Vol 12, Iss 1 (2019)
بيانات النشر: Center for Transportation Studies, 2019.
سنة النشر: 2019
مصطلحات موضوعية: 050210 logistics & transportation, TA1001-1280, Process (engineering), HSR network, 05 social sciences, Geography, Planning and Development, Perspective (graphical), Transportation, Connectivity improvement, Transportation engineering, Urban Studies, Econometric model, Spillover effect, Urban economic growth, 0502 economics and business, Regional science, Economics, Endogeneity, 050207 economics, Spatial dependence, China, Centrality, Transportation and communications, HE1-9990
الوصف: This paper evaluates the economic benefits of high-speed rail (HSR) in China, with a focus on the connectivity change resulting from HSR development. The effect of HSR, measured in degree centrality, is assessed using a spatial econometric modeling technique based on a panel dataset that covers 268 Chinese cities from 2008-2015. To provide a robust assessment, statistical issues including heterogeneous effects, endogeneity, and spatial dependence are addressed simultaneously in the spatial panel modeling process. Our empirical results confirm that connectivity improvement brought by HSR plays a vital role in facilitating economic growth. Specifically, the contribution of HSR to urban economic growth is found to be 0.11, most of which comes from a local effect rather than a spillover effect. Overall, the research findings suggest that urban economic growth can benefit from the development of HSR.
تدمد: 1938-7849
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab0e88ffe9446d41759aa70b3365193
https://doi.org/10.5198/jtlu.2019.1264
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....2ab0e88ffe9446d41759aa70b3365193
قاعدة البيانات: OpenAIRE