High‐speed rail and city tourism: Evidence from Tencent migration big data on two Chinese golden weeks

This paper estimates the effect of high‐speed rail (HSR) on city tourism. To identify the causal effect, we measure tourism outcomes with population flow data from Tencent migration big data and construct daily panel data of two national holidays from April 2015 to May 2019. Empirical results reveal...

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Bibliographic Details
Published in:Growth and change 2022-09, Vol.53 (3), p.1012-1036
Main Authors: Gao, Yanyan, Nan, Yongqing, Song, Shunfeng
Format: Article
Language:English
Subjects:
Big Data
Cities
high‐speed rail
Holidays & special occasions
intercity tourism
labor day holiday
Migration
national day holiday
Panel data
Robustness
Tencent big data
Tourism
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Summary:This paper estimates the effect of high‐speed rail (HSR) on city tourism. To identify the causal effect, we measure tourism outcomes with population flow data from Tencent migration big data and construct daily panel data of two national holidays from April 2015 to May 2019. Empirical results reveal that HSR connection increases the intercity tourist flows, which holds under a number of robustness checks. Such effect is greater in the Labor Day holiday than in the National Day holiday, and the impact on tourist outflow in the first‐half holiday is greater than that on tourist inflow. We also find that HSR connection increases the intensity that tourists travel by train. Our findings provide solid evidence on the contribution of transportation improvement to city tourism economy.
ISSN:0017-4815
1468-2257
DOI:10.1111/grow.12473