Cultural diffusion and international inbound tourism: Evidence from China

2018 ◽  
Vol 25 (6) ◽  
pp. 884-903 ◽  
Author(s):  
Mengmeng Qiang ◽  
Manhong Shen ◽  
Huiming Xie
Keyword(s):  
Cultural Distance ◽  
International Tourism ◽  
Tourism Demand ◽  
Regional Heterogeneity ◽  
Confucius Institute ◽  
Cultural Diffusion ◽  
Inbound Tourism ◽  
Confucius Institutes ◽  
The Impact ◽  
Tourism Flows

Cultural diffusion is an important noneconomic determinant of tourism demand but has received less focus in the literature. This study seeks to address this gap by focusing on the impact of the Confucius Institute, an important institution of Chinese cultural diffusion, on inbound tourism to China. It is shown that the Confucius Institute positively contributes to the Chinese inbound tourism flows, even when the endogeneity of Confucius Institutes is considered. Moreover, the impact of the Confucius Institute on China’s inbound tourism has a lagged effect and regional heterogeneity. In addition, cultural distance is a mediating variable of the Confucius Institute on tourism demand. As cultural distance increases, the impact of the Confucius Institute on China’s international tourism flow first rises and then decreases.

Estimating the Impact of Avian Flu on International Tourism Demand Using Panel Data

2009 ◽  
Vol 15 (3) ◽  
pp. 501-511 ◽  
Author(s):  
Hsiao-I Kuo ◽  
Chia-Lin Chang ◽  
Bing-Wen Huang ◽  
Chi-Chung Chen ◽  
Michael McAleer
Keyword(s):  
Panel Data ◽  
Pandemic Influenza ◽  
Fixed Effects ◽  
Data Models ◽  
International Tourism ◽  
Panel Data Models ◽  
Tourism Demand ◽  
Avian Flu ◽  
Potential Risks ◽  
The Impact

This paper investigates the impacts of avian flu on global and Asian tourism using panel data procedures. Both static and dynamic fixed effects panel data models are adopted to estimate the impacts of this infectious disease. The empirical results from static and dynamic fixed effects panel data models are consistent and indicate that the number of affected poultry outbreaks has significant impacts on the international tourism of global and Asian affected countries. The high mortality rate among humans, the potential of a global flu pandemic and some media frenzy with hype and speculation might adversely affect the images of these infected destinations as a safe tourist destination. Moreover, it was found that the average damage to Asian tourism was more serious, which might have been induced by an ineffective suppression in numerous Asian infected countries. In addition, Asia was the earliest affected region and the area infected most seriously by avian flu, both in humans and in poultry. Since the potential risks and damage arising from avian flu and the subsequent pandemic influenza are much greater than for previous diseases, the need to take necessary precautions in the event of an outbreak of avian flu and pandemic influenza warrants further attention and action in modelling and managing international tourism demand and risk.

scholarly journals Tourism under the Early Phase of COVID-19 in Four APEC Economies: An Estimation with Special Focus on SARS Experiences

2020 ◽  
Vol 17 (20) ◽  
pp. 7543
Author(s):  
Bao-Linh Tran ◽  
Chi-Chung Chen ◽  
Wei-Chun Tseng ◽  
Shu-Yi Liao
Keyword(s):  
Hong Kong ◽  
New Zealand ◽  
Fixed Effects ◽  
Negative Impact ◽  
Asia Pacific ◽  
International Tourism ◽  
Special Focus ◽  
Tourism Demand ◽  
Data Set ◽  
The Impact

This study examines how experience of severe acute respiratory syndrome (SARS) influences the impact of coronavirus disease (COVID-19) on international tourism demand for four Asia-Pacific Economic Cooperation (APEC) economies, Taiwan, Hong Kong, Thailand, and New Zealand, over the 1 January–30 April 2020 period. To proceed, panel regression models are first applied with a time-lag effect to estimate the general effects of COVID-19 on daily tourist arrivals. In turn, the data set is decomposed into two nation groups and fixed effects models are employed for addressing the comparison of the pandemic-tourism relationship between economies with and without experiences of the SARS epidemic. Specifically, Taiwan and Hong Kong are grouped as economies with SARS experiences, while Thailand and New Zealand are grouped as countries without experiences of SARS. The estimation result indicates that the number of confirmed COVID-19 cases has a significant negative impact on tourism demand, in which a 1% COVID-19 case increase causes a 0.075% decline in tourist arrivals, which is a decline of approximately 110 arrivals for every additional person infected by the coronavirus. The negative impact of COVID-19 on tourist arrivals for Thailand and New Zealand is found much stronger than for Taiwan and Hong Kong. In particular, the number of tourist arrivals to Taiwan and Hong Kong decreased by 0.034% in response to a 1% increase in COVID-19 confirmed cases, while in Thailand and New Zealand, a 1% national confirmed cases increase caused a 0.103% reduction in tourism demand. Moreover, the effect of the number of domestic cases on international tourism is found lower than the effect caused by global COVID-19 mortality for the economies with SARS experiences. In contrast, tourist arrivals are majorly affected by the number of confirmed COVID-19 cases in Thailand and New Zealand. Finally, travel restriction in all cases is found to be the most influencing factor for the number of tourist arrivals. Besides contributing to the existing literature focusing on the knowledge regarding the nexus between tourism and COVID-19, the paper’s findings also highlight the importance of risk perception and the need of transmission prevention and control of the epidemic for the tourism sector.

Inbound Tourism as a Driving Force for Regional Innovation: A Spatial Impact Study on China

2018 ◽  
Vol 58 (4) ◽  
pp. 594-607 ◽  
Author(s):  
Jingjing Liu ◽  
Peter Nijkamp
Keyword(s):  
Driving Force ◽  
Social Innovation ◽  
Innovation System ◽  
Regional Innovation ◽  
Spatial Panel ◽  
Inbound Tourism ◽  
Spatial Panel Data ◽  
The Impact ◽  
Tourism Flows ◽  
The Empirical Analysis

Cross-border flows of people, capital, and information along with inbound tourism flows can act as an important vehicle that benefits the innovation system in tourism destination areas. This study addresses the unintended but far-reaching impact of international tourism by focusing on the influence of inbound tourism on regional innovation in China. Data from 30 Chinese provinces for the years 2003–2012 are used for the empirical analysis, employing a spatial panel data model. The results show that inbound tourism may be a new and powerful driving force for regional innovation, while the effect of inbound tourism on technological innovation appears to be weaker than that on social innovation. Our findings also show that a higher market percentage of domestic tourism may weaken the impact of inbound tourism. Furthermore, the impact of inbound tourism on innovation tends to be relatively stronger in the richer and more internationally oriented provinces of China.

The Impact of Disasters on Japan’s Inbound Tourism Demand

2014 ◽  
Vol 9 (sp) ◽  
pp. 699-708 ◽  
Author(s):  
Lihui Wu ◽  
◽  
Haruo Hayashi ◽  
Keyword(s):  
Large Scale ◽  
Moving Average ◽  
Geographical Location ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Tourism Demand ◽  
Intervention Models ◽  
Weather Events ◽  
Inbound Tourism ◽  
The Impact

The purpose of this study is to explore the impact of disasters on international tourism demand for Japan by applying Autoregressive Integrated Moving Average (ARIMA) intervention models that focus on evaluating change patterns and the duration of effects by observing variations in parameters. Japan suffered a variety of disasters, especially natural disasters due to its geographical location, so we have divided these disasters into three types: geological disasters, extreme weather events and “others” such as terrorist attacks, infectious diseases, and economic crises. Based on the principle of preparing for the worst, we selected 4 cases for each disaster type, for 12 in all. Results suggest that (1) large-scale disasters such as great earthquakes impacted negatively on inbound tourism demand for Japan; (2) not all disasters resulted in an abrupt drop in inbound tourist arrivals, extreme weather events, for example, did not decrease inbound tourism demand significantly; (3) impact caused by disasters was temporary.

Estimating the Impact of Avian Flu on International Tourism Demand Using Panel Data

2009 ◽  
Author(s):  
Hsiao-I Kuo ◽  
Chia-Lin Chang ◽  
Chi-Chung Chen ◽  
Biing-Wen Huang ◽  
Michael McAleer
Keyword(s):  
Panel Data ◽  
International Tourism ◽  
Tourism Demand ◽  
Avian Flu ◽  
The Impact

scholarly journals EDITORIAL: COVID-19 PANDEMIC AND INTERNATIONAL TOURISM DEMAND

2020 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Tri Haryanto
Keyword(s):  
Global Economy ◽  
Economic Recession ◽  
International Tourism ◽  
Tourism Demand ◽  
Research Topics ◽  
Global Issue ◽  
The World ◽  
Global Economic Growth ◽  
The Impact

COVID-19 pandemic has become a global issue. Many experts predict that this pandemic will cause global economic growth to decline this year, or even the global economic recession. All efforts conducted by many countries in the world massively to prevent its spread such as social distancing, self-isolation, and similar actions to lockdown may have a major impact on tourism demand in many countries. The next section sequentially will discuss a brief review of the role of international tourism on the economy, the impact of the COVID-19 pandemic on the global economy and international tourism, and further research topics for the next edition.

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