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

scholarly journals Real exchange rate undervaluation and sectoral growth in South Africa

2018 ◽  
Vol 9 (4) ◽  
pp. 462-476
Author(s):  
Brian Tavonga Mazorodze ◽  
Dev D. Tewari
Keyword(s):  
South Africa ◽  
Exchange Rate ◽  
Panel Data ◽  
Real Exchange Rate ◽  
Positive Impact ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Content Type ◽  
Sectoral Growth ◽  
The Impact

PurposeThe purpose of this paper is to establish the empirical link between real exchange rate (RER) undervaluation and sectoral growth in South Africa between 1984 and 2014.Design/methodology/approachThe study employs a dynamic panel data approach estimated by the system generalised method of moments technique in a bid to control for endogeneity.FindingsThe authors find a significant positive impact of undervaluation on sectoral growth which increases with capital accumulation. Also, the authors confirm that undervaluation promotes sectoral growth up to a point where further increases in undervaluation retards growth.Practical implicationsThe results confirm the importance of policies that keep the domestic currency weaker to foster sectoral growth.Originality/valueThe originality of this paper lies in establishing the impact of exchange rate undervaluation on growth at a sector level in the context of South Africa using a dynamic panel data approach.

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.

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.

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