The impacts of governance and institutions on inbound tourism demand: evidence from a dynamic panel data study

2018 ◽  
Vol 23 (10) ◽  
pp. 1000-1007 ◽  
Author(s):  
Chor Foon Tang
Keyword(s):  
Panel Data ◽  
Dynamic Panel Data ◽  
Tourism Demand ◽  
Dynamic Panel ◽  
Inbound Tourism

scholarly journals A Provincial Panel Data Analysis on Export Effect of China’s Inbound Tourism

2017 ◽  
Vol 12 (6) ◽  
pp. 196
Author(s):  
Xiaohui Wang
Keyword(s):  
Panel Data ◽  
Cultural Distance ◽  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
Panel Data Models ◽  
Dynamic Panel ◽  
Dynamic Panel Data Models ◽  
Advertising Effect ◽  
Marco Polo ◽  
Inbound Tourism

Based on China’s provincial panel data of the export, GDP, trade distance and inbound tourism income from 1997 to 2014, this study examines the export effect of inbound tourism in China, using dynamic panel data models and system GMM estimators. The empirical results for the estimations of the gravity equation demonstrate that inbound tourism promoted China's export through expanding the degree of opening to the outside world, shortening the cultural distance, "advertising effect" and "Marco Polo effect" of business tourism. Inbound tourism has a significant positive export effect, export will increase by 0.135 % when inbound tourism increases by 1%.

scholarly journals ECONOMETRIC ANALYSIS FOR TOURISM DEMAND FUNCTION IN EGYPT A DYNAMIC PANEL DATA APPROACH

2018 ◽  
pp. 321 ◽  
Author(s):  
Waleed Said Soliman Faragalla
Keyword(s):  
Panel Data ◽  
Demand Function ◽  
Dynamic Panel Data ◽  
Relative Price ◽  
Tourism Demand ◽  
Dynamic Panel ◽  
Data Set ◽  
Explanatory Variables ◽  
Time Period ◽  
Lagged Dependent Variable

In this paper, the author investigates the tourism demand function using the dynamic panel data approach in the case of Egypt. The panel data set covers the time period between 1995 and 2014. The individuals are 49 countries as origin countries for tourists, representing 92% of the total tourist arrivals to Egypt. Explanatory variables which affect the tourism demand function were taken into account: lag of dependent variable that leads to dynamic panel data approach, using DIFF-GMM estimator proposed by Arellano and Bond (1991); also, many other explanatory variables like GDP per capita, relative price index, distance, and dummy variable which represent the political situation. One of the important and significant conclusions of the paper is the significant effect of the lagged dependent variable (0.493), which may be explained as “Word of Mouth” to tourists’ decision when choosing the destination.

The Determinants of Tourism Demand in South Africa Using a Dynamic Panel Data Approach

2009 ◽  
Vol 14 (3) ◽  
pp. 375-385 ◽  
Author(s):  
Ramesh Durbarry ◽  
J. F. Nicolas ◽  
Boopen Seetanah
Keyword(s):  
South Africa ◽  
Panel Data ◽  
Dynamic Panel Data ◽  
Tourism Demand ◽  
Dynamic Panel

Investigating the impact of climate change on the tourism sector: evidence from a sample of island economies

2019 ◽  
Vol 74 (2) ◽  
pp. 194-203 ◽  
Author(s):  
Boopen Seetanah ◽  
Sheereen Fauzel
Keyword(s):  
Climate Change ◽  
Panel Data ◽  
Climatic Change ◽  
Tourism Development ◽  
Dynamic Panel Data ◽  
Small Island ◽  
Tourism Demand ◽  
Dynamic Panel ◽  
Content Type ◽  
The Impact

PurposeAlthough it is a widely accepted fact that climate change can negatively impact on tourism demand and affect the economies at the socio-economic level, empirical studies on the climate change tourism development nexus has been quite scant, especially for the case of island economies that are heavily dependent on tourism. This study aims to supplement the literature on climate change and tourism by empirically assessing the relationship between climate change and tourist arrivals for the case of 18 small island developing states over the period from 1989 to 2016.Design/methodology/approachThis paper uses dynamic panel data techniques, namely, a panel vector autoregressive framework, which accounts for dynamic and endogeneity issues.FindingsThe results from the analysis confirm the existence of a significant relationship between climate change and tourism demand in both the long-run and short run. Further analysis shows a bi-directional causality between climatic change and tourism demand while the study also confirms the tourism led growth hypothesis.Research limitations/implicationsThis research supplements the literature on the tourism-environment link, especially for tourism dependent island economies.Practical implicationsResults from this study are important to policymakers who should spare no effort to mitigate the effect of adverse climatic change in the context of tourism development.Originality/valueThis study is built on a unique data set for a sample of island economies and interestingly adopts dynamic panel data analysis to account for dynamics and endogenity in the climate change-tourism development nexus.

Inbound tourism and the marketization of China’s institutions

2016 ◽  
Vol 7 (4) ◽  
pp. 542-554
Author(s):  
Jing Ma ◽  
Shuo Liu
Keyword(s):  
Panel Data ◽  
Dynamic Panel Data ◽  
Economic Resources ◽  
Tourism Demand ◽  
Demand Model ◽  
Content Type ◽  
International Recognition ◽  
China Market ◽  
Inbound Tourism ◽  
The Relationship

Purpose The purpose of this paper is to examine whether the institutions play a role in tourism development and international recognition, specifically the influence of marketization on the international tourists’ inbound arrivals in different Chinese provinces. Design/methodology/approach This paper constructs a demand model of tourism and empirically analyzes the relationship between marketization and inbound tourism demand with the panel data of the provinces of China and NERI Index of Marketization. Findings Marketization does have an influence on inbound tourism demand of China. Specially, the relationship between government and market, the development of product market, the market intermediary organizations and the legal system environment can increase the demand of the foreign tourists to visit China, although the magnitudes are different. Practical implications This paper argues that the qualities of marketization intuitions are important in increasing inbound tourism, given that it can bring better tourism experience and improve the international recognition. Strengthening the legislation and protecting the legitimate rights and interests of consumers can attract more international travelers to China. Market distribution of competitive economic resources, reducing political intervention into corporate activities and relieving tax burdens of enterprises can improve the competitiveness and the service qualities of Chinese domestic tourism firms. Originality/value This paper leads the discussions of institutions and tourism. It combines the consumer theory and uses static and dynamic panel data models to analyze the influencing factors of Chinese tourism. It argues that Chinese inbound tourism shall develop with the systemic marketization progress in China.

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