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 Effect of exchange rate uncertainty on bilateral trade performance in SAARC countries: a gravity model analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Banna Banik ◽  
Chandan Kumar Roy
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Gravity Model ◽  
Bilateral Trade ◽  
Exchange Rate Volatility ◽  
Exchange Rate Uncertainty ◽  
Content Type ◽  
Estimation Techniques ◽  
Trade Performance ◽  
The Impact

PurposeExchange rate uncertainty leads to an indecisive environment for imports and exports that would condense international trade, foreign direct investment, trade earnings, trade volumes, economic growth and welfare. This study aims to examine, empirically, the effect of exchange rate uncertainty on bilateral trade performance, focusing on eight SAARC member economies using the popular modified gravity model of trade.Design/methodology/approachThe paper includes eight SAARC members – Afghanistan, Bangladesh, Bhutan, Maldives, Nepal, Pakistan and Sri Lanka panel data set over the period 2005–2018. The authors consider both standardized value (standard deviation) and conditional variance model to determine volatility of exchange rate. Primarily, ordinary least squares, random effects and fixed effects estimation techniques are employed to investigate the impact of exchange rate volatility. Endogeneity and robustness of the findings have been tested using the simultaneity-adjusted model and dynamic panel data two-step system GMM estimation techniques.FindingsEmpirical findings endorse the view that exchange rate volatility lowers trade flows in the SAARC regions. However, this adverse effect of exchange rate uncertainty on trade is pretty small. The negative correlation between exchange rate volatility and bilateral trade remains consistent and significant after controlling of simultaneous causality, autocorrelation, year effects, country-pair heterogeneity and endogeneity irrespective of panel data estimation techniques and different measures of volatility.Originality/valueThe present paper is original work.

scholarly journals Comparing the Determinants of Tourism Demand In Singapore and French Polynesia: Applying the Tourism Demand Model to Panel Data Analysis

2020 ◽  
Vol 25 (1) ◽  
pp. 175-181
Author(s):  
Kantaro Takahashi
Keyword(s):  
Panel Data ◽  
Income Elasticity ◽  
Panel Data Analysis ◽  
French Polynesia ◽  
Tourism Industry ◽  
Service Industries ◽  
Tourism Demand ◽  
Demand Model ◽  
Transportation Accessibility ◽  
The Impact

This study explores the differences in tourism demand between French Polynesia and Singapore by applying the panel data technique. Although the tourism industry in these small states tends to be the main economic activity, they have a different economic structure: French Polynesia is highly dependent on the tourism industry, whereas Singapore has several service industries. This article applies the tourism demand model to panel data from 2008 to 2013. Different elasticities are observed in the model estimation between the two islands, such as income elasticity and transportation accessibility. Additionally, this article compares time dummies to estimate the impact of global bankruptcy in 2008. The results show that French Polynesia has slightly declined, while Singapore has gradually increased since 2008. An implication of this study is that the demand in a destination highly dependent on the tourism industry tends to result in a relatively high-income market, but the economy is affected by global phenomena. A destination that owns diversified industries is likely to have good accessibility, and the global economic impact is lower in the tourism market.

scholarly journals The Empirical Test on the Impact of Climate Volatility on Tourism Demand: A Case of Japanese Tourists Visiting Korea

2018 ◽  
Vol 10 (10) ◽  
pp. 3569
Author(s):  
Yun Hwang ◽  
Hyung Kim ◽  
Cheon Yu
Keyword(s):  
Empirical Test ◽  
Tourism Industry ◽  
Model Specification ◽  
Time Lags ◽  
Tourism Demand ◽  
Demand Model ◽  
Volatility Index ◽  
Tourism Resource ◽  
The Impact ◽  
The Relationship

As climate is not only a valuable tourism resource but also a factor influencing travel experience, estimating climate volatility has implications for sustainable development of the tourism industry. This study develops the Climate Volatility Index (CVI) using a Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model and estimates the relationship between CVI and Japanese tourism demand in Korea, using a tourism demand model based on monthly data from January 2000 to December 2013. Possible time lags and multicollinearity among variables are considered for the model specification. The results show that an increase in climate volatility leads to a decrease in tourism demand.

scholarly journals Real exchange rate and trade balance in Turkey: Evidence from heterogeneous panel data

2020 ◽  
pp. 7-7
Author(s):  
Ahmet Kaya
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Real Exchange Rate ◽  
Trade Balance ◽  
Bilateral Trade ◽  
Income Elasticity ◽  
Balance Model ◽  
Common Correlated Effects ◽  
The Usa ◽  
Heterogeneous Panel

In this study, the effect of real exchange rate on bilateral trade balance between Turkey and its 25 main trade partners is investigated for the period of 1996 - 2015 with heterogeneous panel data techniques. Trade balance model is estimated by using Mean Group (MG) estimator, which allows parameter heterogeneity, Common Correlated Effects Mean Group (CCEMG), and Augmented Mean Group (AMG) estimators, which both allow cross-section dependency and heterogeneity. Results indicate that the real exchange rate elasticity of the trade balance ranges between -0.40 and -0.45 and Marshall-Lerner (ML) condition is valid for Turkey. According to the results, the foreign income elasticity of trade balance ranges between 1.54 and 2.84, while for domestic income elasticity, it is found between -0.75 and -1.38. Country-specific results show that ML condition is valid for the USA, Belgium, Spain, Switzerland, Romania, and Russia at the bilateral level according to both CCEMG and AMG estimators.

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.

Impact of the Presence of Embassies on Trade: Evidence from Turkey

2019 ◽  
Vol 19 (1) ◽  
pp. 51-60
Author(s):  
Yusuf Kenan Bagir
Keyword(s):  
Panel Data ◽  
Bilateral Trade ◽  
Panel Data Analysis ◽  
Empirical Studies ◽  
Volume Effect ◽  
Foreign Missions ◽  
Cross Sectional ◽  
Exporting Firms ◽  
Main Driver ◽  
The Impact

AbstractThis paper analyzes the impact of the presence of foreign missions on trade using Turkey's unique expansion in its foreign embassy network (39 new embassies in 8 years) as the source of variation in a panel data setting. A majority of the existing empirical studies use cross-sectional bilateral trade data due to lack of variation over time (Rose, 2007; Moons and Bergeijk, 2013). Employing a panel data analysis, this paper is able to address the endogeneity issues that are associated with a standard cross-sectional analysis. The dependent variable in the paper is the trade between Turkey and 190 countries for 2006 to 2016. The results indicate that presence of an embassy increases export value by 30% and this increase comes mainly from the volume effect. Categorizing goods by the Rauch (1999) classification shows that the increase in differentiated goods exports is the main driver of the export surge. The number of exporting firms increases by about 8%. There is no statistically significant impact on the exports of homogeneous goods. Replication of the analysis for imports suggests no impact on imports.

scholarly journals Impact of macroeconomic factors on development of Paki-stan

2017 ◽  
Vol 5 (1) ◽  
pp. 63
Author(s):  
Ifran Khan ◽  
Muhammad Imran Nazir ◽  
Zeeshan Fareed ◽  
Muhammad Rizwan Nazir ◽  
Faryal Faryal
Keyword(s):  
Exchange Rate ◽  
Multiple Regression Model ◽  
Least Square ◽  
Descriptive Statistics ◽  
Macroeconomic Factors ◽  
Ordinary Least Square ◽  
The Core ◽  
Lm Test ◽  
Net Export ◽  
The Impact

Macroeconomic factors play a fundamental role in attracting the growth the country. This research examined the impact of various macroeconomic factors on GDP of Pakistan for the period of 1975-2015. The core objective of this research was to check the impact of inflation, investment, exchange rate and net export on development of Pakistan. The tool for analysis was Ordinary Least Square (OLS) multiple regression model. This research used Descriptive Statistics, Harvey's test for checking the heteroscedasticity and Breusch Godfrey LM test to check autocorrelation among variables. The results of this study show that inflation exerts negative significant effect on Pakistan GDP whereas investment shows positive significant effect and exchange rate have positive insignificant effect on GDP of Pakistan. Moreover net export has been highly positive significant on Pakistan GDP.

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 The Impact of Exchange Rate on Ethiopia’s Coffee Export

2021 ◽  
Vol 17 (23) ◽  
pp. 27
Author(s):  
Solomon Tewelde Argaie
Keyword(s):  
Exchange Rate ◽  
Government Regulation ◽  
Exchange Rate Regime ◽  
Multiple Regression Model ◽  
Producer Price ◽  
Foreign Reserve ◽  
Floating Exchange Rate ◽  
The Exchange Rate ◽  
Export Revenue ◽  
The Impact

Although coffee constitutes the largest share of exports, producers in Ethiopia have historically received a small percentage of the export revenue from the price of green coffee. Reasons often mentioned are heavy government intervention and high marketing and processing costs. Before 1992, government regulation of the domestic coffee market in the form of fixed producer prices and the Ethiopian Coffee Marketing Corporation's monopoly power put a substantial wedge between the producer price and the world price of coffee by imposing an implicit tax on producers. Having liberalized the market and adopted a floating exchange rate regime to boost exports (coffee) as the country struggles with foreign exchange shortages, not much has improved in exports (coffee) or foreign reserve availability. This paper utilizes monthly data from 2010-2015 to develop a multiple regression model to determine the impact the exchange rate has on coffee export if there is any. The empirical findings indicate that the exchange rate is not significant in determining or influencing exports but the prices of the two famous coffee types (Arabica and Robusta). Corroborated by the research outcome, we suggest that policymakers do not rely on the depreciation or devaluation of the ETB (Ethiopian Birr) as a tool for export promotion and growth.

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