scholarly journals The impact of crisis events and macroeconomic activity on Taiwan's international inbound tourism demand

2009 ◽  
Vol 30 (1) ◽  
pp. 75-82 ◽  
Author(s):  
Yu-Shan Wang
Keyword(s):  
Tourism Demand ◽  
Crisis Events ◽  
Inbound Tourism ◽  
Macroeconomic Activity ◽  
The Impact

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.

The Impact of Climate Variables on Seasonal Variation in Hong Kong Inbound Tourism Demand

2016 ◽  
Vol 56 (1) ◽  
pp. 94-107 ◽  
Author(s):  
Hanqin Qiu Zhang ◽  
Nada Kulendran
Keyword(s):  
Hong Kong ◽  
Seasonal Variation ◽  
Dominant Role ◽  
Country Of Origin ◽  
Mainland China ◽  
Climate Variables ◽  
Tourism Demand ◽  
Relative Temperature ◽  
Inbound Tourism ◽  
The Impact

In this study, we quantify the link between climate variables, such as temperature, rainfall, humidity, number of tropical cyclones, and number of thunderstorms, and seasonal variation in the Hong Kong inbound tourism demand from mainland China, Taiwan, South Korea, and Japan using the average Euclidean distance (AED) statistics and tourism demand modeling approach. Seasonal variation is measured as the fluctuation in the number of tourists from one season to another. Based on the smallest AED value, results of this study showed that climate variables play a dominant role in shaping seasonal variation relative to season and country. The fluctuation of tourist numbers from one season to another is determined not only by climate variables (e.g., the temperature of Hong Kong vs. the temperature in the country of origin of the tourist) but also by economic factors, including price and income. The variation in the impact of relative temperature depends on the country of origin.

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.

scholarly journals Influence of Tourism Seasonality and Financial Ratios on Hotels’ Exit Risk

2021 ◽  
pp. 109634802110160
Author(s):  
Dengjun Zhang ◽  
Jinghua Xie
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Hotel Industry ◽  
Financial Ratios ◽  
Market Segment ◽  
Tourism Demand ◽  
Hazards Model ◽  
Two Measures ◽  
The Impact

Tourism seasonality negatively affects hotels’ operational and financial performance and then survival probabilities. Several studies have evaluated the impact of tourism seasonality on hotels’ exit risk. However, the empirical findings are ambiguous, probably due to the overall seasonality and different measures used in these studies. Against this background, this study explores the impact of tourism seasonality on hotel firms’ exit risk, using a proportional hazards model. We controlled for financial ratios, the main factors influencing the exit risk, and used two measures of tourism seasonality by market segment, namely, leisure, business, and conference tourism. The case study is the Norwegian hotel industry. The empirical results suggest that the different seasonal patterns of tourism demand in the market segments mitigate the impact of the overall seasonality on hotels’ exit risk, and that seasonality measures of various tourism segments affect the exit risk in different ways.

scholarly journals Analyzing the Influence of Transportations on Chinese Inbound Tourism: Markov Switching Penalized Regression Approaches

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 515
Author(s):  
Woraphon Yamaka ◽  
Xuefeng Zhang ◽  
Paravee Maneejuk
Keyword(s):  
Structural Changes ◽  
Markov Switching ◽  
Penalized Regression ◽  
Tourism Demand ◽  
Switching Regression ◽  
Inbound Tourism ◽  
Dimensional Parameters ◽  
Demand Equations ◽  
Transportation Development ◽  
Positive Effect

This study investigates the nonlinear impact of various modes of transportation (air, road, railway, and maritime) on the number of foreign visitors to China originating from major source countries. Our nonlinear tourism demand equations are determined through the Markov-switching regression (MSR) model, thereby, capturing the possible structural changes in Chinese tourism demand. Due to many variables and the limitations from the small number of observations confronted in this empirical study, we may face multicollinearity and endogeneity bias. Therefore, we introduce the two penalized maximum likelihoods, namely Ridge and Lasso, to estimate the high dimensional parameters in the MSR model. This investigation found the structural changes in all tourist arrival series with significant coefficient shifts in transportation variables. We observe that the coefficients are relatively more significant in regime 1 (low tourist arrival regime). The coefficients in regime 1 are all positive (except railway length in operation), while the estimated coefficients in regime 2 are positive in fewer numbers and weak. This study shows that, in the process of transportation, development and changing inbound tourism demand from ten countries, some variables with the originally strong positive effect will have a weak positive effect when tourist arrivals are classified in the high tourist arrival regime.

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