Propensity score matching–difference-in-differences analysis of the casual effect of opening intermediate high-speed railway stations on employment status in surrounding municipalities

• This study defines HSR station influence by the road distance from each station to the nearest municipal center, rather than using fixed-radius or commuting time, to reduce geographic bias and improve spatial accuracy in mountainous regions. • Using Rubin’s framework, this study applies propensity score matching and DID to balance covariates (natural, geographic, transport, socioeconomic) between groups, reduce endogeneity, and estimate high-speed rail station construction’s impact on regional industry and employment. • The development of high-speed railway infrastructure potentially facilitates the redistribution of industrial structures and may intensify disparities in regional development outcomes. • The impacts resulting from high-speed railway construction exhibit a certain degree of time lag. High-speed rail (HSR) has supplanted traditional rail as the dominant mode of intercity transportation due to its superior speed, punctuality, and convenience. However, the specific impacts of HSR development on municipalities surrounding intermediate stations remain insufficiently understood, particularly with respect to employment structures and local economic outcomes. This study employs propensity score matching to account for diverse characteristics of target municipalities, and combines this with a difference-in-differences framework to quantify the effects of HSR development. The results reveal clear regional heterogeneity: in less urbanized areas with higher shares of primary and secondary industries, HSR development is associated with declines in the secondary sector and growth in the tertiary sector. In contrast, in more urbanized regions, competition or substitution effects in the tertiary sector may limit such gains. Overall, while HSR construction can facilitate structural shifts toward tertiary sector-based economies, it does not consistently increase employment rates in municipalities surrounding new stations and may even contribute to higher unemployment in some regions, underscoring the need for regionally tailored development policies.

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Publication Details

Journal
Case Studies on Transport Policy
Published
2025-08-25
DOI
https://doi.org/10.1016/j.cstp.2025.101592
Citations
1
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
3.13
Controls
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article

Propensity score matching–difference-in-differences analysis of the casual effect of opening intermediate high-speed railway stations on employment status in surrounding municipalities

Hideki Yaginuma, Shintaro Terabe, Jikang Fan
1 citations
Case Studies on Transport Policy
Spatial and Panel Data Analysis
3.13
article

Propensity score matching–difference-in-differences analysis of the casual effect of opening intermediate high-speed railway stations on employment status in surrounding municipalities

Hideki Yaginuma, Shintaro Terabe, Jikang Fan
article en
1 citations

Abstract

• This study defines HSR station influence by the road distance from each station to the nearest municipal center, rather than using fixed-radius or commuting time, to reduce geographic bias and improve spatial accuracy in mountainous regions. • Using Rubin’s framework, this study applies propensity score matching and DID to balance covariates (natural, geographic, transport, socioeconomic) between groups, reduce endogeneity, and estimate high-speed rail station construction’s impact on regional industry and employment. • The development of high-speed railway infrastructure potentially facilitates the redistribution of industrial structures and may intensify disparities in regional development outcomes. • The impacts resulting from high-speed railway construction exhibit a certain degree of time lag. High-speed rail (HSR) has supplanted traditional rail as the dominant mode of intercity transportation due to its superior speed, punctuality, and convenience. However, the specific impacts of HSR development on municipalities surrounding intermediate stations remain insufficiently understood, particularly with respect to employment structures and local economic outcomes. This study employs propensity score matching to account for diverse characteristics of target municipalities, and combines this with a difference-in-differences framework to quantify the effects of HSR development. The results reveal clear regional heterogeneity: in less urbanized areas with higher shares of primary and secondary industries, HSR development is associated with declines in the secondary sector and growth in the tertiary sector. In contrast, in more urbanized regions, competition or substitution effects in the tertiary sector may limit such gains. Overall, while HSR construction can facilitate structural shifts toward tertiary sector-based economies, it does not consistently increase employment rates in municipalities surrounding new stations and may even contribute to higher unemployment in some regions, underscoring the need for regionally tailored development policies.

Case Studies on Transport PolicyVol. 22
Tokyo University of Science (JP)
Decent work and economic growth
Openalex Percentile: Top 7%
Spatial and Panel Data Analysis
3.13
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