Spatial spillover of transport improvement on tourism growth

Abstract

Transport infrastructure plays an important role in moving tourists to and between destinations. In this study, we investigate the spatial spillover effects of transport improvements on regional tourism growth. Using panel data from 337 Chinese prefecture-level regions from 2007 to 2016, we estimate a spatial Durbin model to understand whether enhancements in road, air, railway, and high-speed rail transport stimulated tourism growth in nearby regions. Our empirical models confirm transport spillover. High-speed rail services generated spillover to nearby regions’ domestic and inbound tourism growth. For domestic tourism, road transport and air transport yielded significant spillover, while only air transport generated significant spillover in tourism revenue from inbound tourism. Findings also highlight the limited geographic scope of high-speed rail spillover and the broader scope of air transport spillover. Lastly, relevant implications are discussed.

The Impact of Southern Cross Road (JJLS) Development on the Contribution of Regional Original Income (PAD) from the South Coast Tourism Sector in Bantul Regency 2014-2019

“…The existence of JJLS can impact the regional economy by the existence of differences significant in South Coast tourism PAD. Tourism infrastructure can increase PAD in the short and long term, especially in the scope of domestic tourism [13,14,15]. The results are similar to the conditions of South Coast tourism, this significant increase occurred due to changes in retribution rates as a supplier of South Coast PAD.…”

Assessing the Combined Effects of Transportation Infrastructure on Regional Tourism Development in China Using a Spatial Econometric Model (GWPR)

“…Second, a few pieces of literature have focused on the combined influence of transportation modes on tourism development. Tian et al (2022) estimated a spatial Durbin model to understand whether enhancements in road, air, railway, and HSR transport stimulated tourism growth in nearby regions and confirmed transport spillover [78]. Chen et al (2022) developed a linear regression model to quantify and compare the influence of HSR and air transport on tourism and explore their relationships [79].…”

“…Tian et al (2022) estimated a spatial Durbin model to understand whether enhancements in road, air, railway, and HSR transport stimulated tourism growth in nearby regions and confirmed transport spillover [78]. Chen et al (2022) developed a linear regression model to quantify and compare the influence of HSR and air transport on tourism and explore their relationships [79]. They both discussed the correlation between the comprehensive impact of According to the characteristics and types of combined impacts on transportation infrastructure, the following policy recommendations are proposed:…”

Optimum spatial scale of regional tourism cooperation based on spillover effects in tourism flows

“…In fact, the tourism spillover effects, as the core internal force affecting the tourism cooperation of the regions and cities (Gooroochurn and Hanley, 2005), have received increasing attention from scholars (Lazzeretti and Capone, 2009; Li et al, 2020), such as the spillover effects of tourism and tourism employment (Capone and Boix, 2008) as well as the spillover effects of economic growth of tourism (Tian et al, 2021; Yang and Fik, 2014). However, studies on the optimum scale of regional tourism cooperation are scarce.…”