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

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.

The effect of freedom on international tourism demand: Empirical evidence from the top eight most visited countries

2019 ◽  
Vol 26 (8) ◽  
pp. 1358-1373
Author(s):  
Umit Bulut ◽  
Emrah Kocak ◽  
Courtney Suess
Keyword(s):  
Panel Data ◽  
Civil Liberties ◽  
The United States ◽  
Policy Implications ◽  
International Tourism ◽  
Political Rights ◽  
Tourism Demand ◽  
Data Set ◽  
Cointegration Tests ◽  
The Impact

The present study investigates the impact of freedom (i.e. the effects of political rights and civil liberties) on tourist arrivals for the eight countries with the highest tourist arrivals in 2016 (France, the United States, Spain, China, Italy, the United Kingdom, Germany, and Mexico), using annual data from 1998 to 2016, through advanced panel data methods. Notably, the key strengths of this study are as follows: (i) it examines the impact of institutional quality on international tourism demand for the most visited countries and (ii) it employs advanced panel data techniques, which have been suggested in recent years. We first constituted a freedom index using political rights and civil liberties data. Second, we performed cross-sectional dependence (CD) tests to examine whether there existed CD in the panel data set. After detecting the presence of CD, we used panel unit root and cointegration tests, which are robust to CD to avoid problems from spurious regression. Finally, we estimated long-run parameters of the empirical model through a panel data estimator that is capable of presenting efficient and unbiased output in the presence of CD. Our empirical findings show that the level of freedom may play a role in explaining the volume of international tourist arrivals. Theoretical and policy implications are discussed in the study, particularly with respect to the importance of rights and freedom in the context of international inbound tourist arrivals.

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.

scholarly journals Demand Model of China’s Outbound Tourist

2019 ◽  
Vol 3 (2) ◽  
pp. 99
Author(s):  
Yunita Ismail Masjud
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Significant Influence ◽  
Bilateral Trade ◽  
Multiple Regression Model ◽  
Tourism Demand ◽  
Trade Volume ◽  
Demand Model ◽  
Statistical Yearbook ◽  
The Impact

This research objective was to find out the impact of resident income, tourism prices, exchange rate, and bilateral trade in goods towards China's outbound tourism trips. This research used the data from research that done by Yi (2018) and used the China Statistical Yearbook to obtained bilateral trade volume and total number of domestic trips from 2006-2015. Panel data in multiple regression model was used to analyzed the outbound tourism demand in China. The results showed that all variables had significant influence partially towards China’s outbound tourist trips, except travel price. Simultaneously all variables had significant influence towards China's outbound tourist trips.

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.

Attraction agglomeration and destination appeal

2016 ◽  
Vol 22 (6) ◽  
pp. 1245-1260 ◽  
Author(s):  
Zhou Bo ◽  
Qu Hailin ◽  
Li Ningqiao
Keyword(s):  
Panel Data ◽  
Significant Contribution ◽  
Dynamic Panel Data ◽  
International Tourism ◽  
Dynamic Panel ◽  
Regional Tourism ◽  
Study Results ◽  
Lock In Effect ◽  
Lock In ◽  
The Impact

Using panel data from 225 cities in China over the 2002–2012 period along with dynamic panel data models, this study aims to quantify the impact of attraction agglomeration (AA) on the appeal of a destination at the macrolevel. The study results show that the agglomeration of natural and cultural attractions contributes to destination appeal in domestic tourism markets. The agglomeration of natural, cultural, and man-made attractions enhances destination appeal in international tourism markets. The agglomeration of cultural attractions has the most significant contribution in both domestic and international tourism markets. This study also demonstrates the lock-in effect of AA of a certain type, which means that diversification of attraction type will undermine the benefits of AA of a specific type. The results should help governments and industry organizations plan and develop regional tourism more effectively.

Spillovers from tourism demand to tourism equity indices

2021 ◽  
pp. 135481662110294
Author(s):  
Faruk Balli ◽  
Muhammad Abubakr Naeem ◽  
Hatice Ozer-Balli
Keyword(s):  
Financial Markets ◽  
Stock Returns ◽  
International Tourism ◽  
Tourism Demand ◽  
Tourism Sector ◽  
Equity Indices ◽  
The Impact

In this article, we analyse the extent of the spillover from international tourism demand on tourism sector equity indices and find that the magnitude of the spillovers are quite dispersed across different markets, which is in line with previous studies. Novel to the literature, we examine the impact of solvency and profitability positions of the firms in the tourism equity indices on evaluating the magnitude of the spillovers from tourism demand to sector equity indices. Firms that have better solvency ratios and operated in deeper financial markets find their stock returns are affected less from the fluctuations in tourism demand. Profitability positions of the firms, however, do not have significant impact on explaining the spillovers.

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