This paper evaluates the impact of high-speed rail (HSR) on tourism growth using China's city panel data from 2004 to 2015. The empirical results from the difference-in-differences method show that HSR connection does not promote tourism revenue but does boost tourist arrivals, leading to a...

To improve the tourism quality of tourist attractions, China National Tourism Administration provide quality accreditations to them, which is also used by tourist attractions to signal their quality and to attract tourists. However, how such accreditation influences regional tourism economy...

Business-to-customer (B2C) online auctions differ from customer-to-customer (C2C) online auctions by having much less sellers who have established their reputations. Thus, B2C online auctions face much lower levels of information asymmetry and relies more on seller's signaling and buyers'...

This paper contributes to providing causal evidence on the effect of World Heritage Site (WHS) inscription on city tourism attractiveness, which is still highly elusive in the existing literature. To identify the causal effect, it uses unique daily city-pair tourist flows from Tencent migration...

World Heritage inscription denotes recognition of cultural and natural properties that have outstanding universal value. This paper contributes to the debate on the tourism impact of WH inscription with prefectural city data from China. The difference-in-differences framework shows that WH...

This paper takes advantage of the designation of top tourist cities in China to estimate the impact of quality disclosure on the city tourism economy. According to theories regarding quality disclosure and certification, we develop a tourism promotion hypothesis for the designation, which is...

Do historical celebrities have an effect on city tourism today? We test this by tracing the places of residence of Su Shi, one of the greatest Chinese cultural celebrities in the Northern Song Dynasty (960–1127), and estimating the effect on city tourism between 2001 and 2015. Our estimation...