Relationship Between the Influence Area of High-Speed Railway Stations and the Casual Effect of these Stations on the Population Change of Municipalities Alone the Railway Line in Japan

Jikang Fan (), Shintaro Terabe (), Hideki Yaginuma (), Haruka Uno () and Yu Suzuki ()
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Jikang Fan: Tokyo University of Science
Shintaro Terabe: Tokyo University of Science
Hideki Yaginuma: Tokyo University of Science
Haruka Uno: Tokyo University of Science
Yu Suzuki: Tokyo University of Science

A chapter in Socioeconomic Impacts of High-Speed Rail Systems, 2023, pp 179-194 from Springer

Abstract: Abstract The high-speed railway station has a wider influence area than the commuter railway station and is believed to impact the municipalities around it significantly. The municipalities where high-speed railway stations will be constructed might be affected similarly. It is still unclear how the size of the station`s influence area affects the population of municipalities. We examine a method using a propensity score to show the effect of high-speed railway development quantitatively. Thus, we can statistically infer the causal effect of high-speed railway development while considering the influence of commuter railway lines and highways. We matched 1126 municipalities all over Japan using propensity scores and quantitatively analyzed the effect of opening Shinkansen stations using Difference-in-Differences analysis. As a result, we find that the Shinkansen station generally positively affects population changes.

Keywords: Causal inference; High-speed railway; Propensity score; Difference-in-differences analysis. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-26340-8_11

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DOI: 10.1007/978-3-031-26340-8_11

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