Turkish tourism, exchange rates and income

Akay, Gokhan H.; Cifter, Atilla; Teke, Özdemir

doi:10.5367/te.2015.0497

Cited by 14 publications

(7 citation statements)

References 21 publications

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“…So, the optimal lag determination is done by SIC (Schwarz Criterion). The results of lag determination for the three equations are illustrated in table (1).…”

Section: Model Estimation and Resultsmentioning

confidence: 99%

“…Diagram (1) shows the response of tourism balance of payment of Japan to one unit of change in exchange rate. This Table shows that the positive effect of exchange rate on the tourism balance of payment reaches its maximum in the 4 th period, then this effect is descending, but positive, with a very gentle slope up to the 8 th period and it has a positive and ascending trend over the 8 th period.…”

Section: Model Estimation and Resultsmentioning

confidence: 99%

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Study of Impact of Exchange Rate on Tourism Balance of Payment in Countries With Top Tourist Attractions (Vector Error Correction Approach)

Lamsso

Masoomzadeh

2017

ijthr

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Exchange rate affects all economic aspects, including tourism balance of payment. The increase of exchange rate first worsens tourism balance of payments, then, after some period improves it. This path is called J-Curve. This article focuses on the impact of exchange rate on the balance of payment in selected countries of the premier tourist attractions in two groups of countries; countries with high and lower-middle per capita income in the period of 1995-2013 with VAR approach.The results show that there has been a J-curve in Sweden, South Africa, Bulgaria, Iran, and Egypt. However, that in other countries had not been approved. Also, variance decomposition of this in the countries studied shows that it was different from one country to another.

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“…So, the optimal lag determination is done by SIC (Schwarz Criterion). The results of lag determination for the three equations are illustrated in table (1).…”

Section: Model Estimation and Resultsmentioning

confidence: 99%

Section: Model Estimation and Resultsmentioning

confidence: 99%

Study of Impact of Exchange Rate on Tourism Balance of Payment in Countries With Top Tourist Attractions (Vector Error Correction Approach)

Lamsso

Masoomzadeh

2017

ijthr

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“…Among these issues, studies where the relationship between tourism revenues and economic growth is tested (Gunduz & Hatemi-J, 2005;Öztürk & Acaravcı, 2009;Gökovalı, 2010;Ertugrul & Mangir, 2015: Hüseyni et al, 2017Qin et al, 2018;Wu & Wu, 2018) stand out. Another of the study topics that the authors focus on is the determinants of tourism revenues, such as foreign visitor statistics, total investment amount, employment, number of beds, real exchange rates (Payne & Mervar, 2002;Kara et al, 2003;Aktaş et al, 2014;Kaplan & Aktas, 2016;Akay et al, 2017;Ongan et al, 2017;Çalışkan et al, 2019). As an alternative to the statistical forecasting methods commonly used in the field of tourism, use of machine learning methods for forecasting studies is evident in recent years.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Modelling and Forecasting Tourism Revenues: The Case of Turkey

Çuhadar

2020

Advances in Hospitality and Tourism Research (AHTR)

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Tourism revenues have important implications for tourism countries in terms of management of tourism-related policies. In order to accurately direct production planning, pricing, promotion and strategic marketing programs, labor and capital resources, accurate and reliable forecasts are needed. Forecasting the developments in tourism with scientific basis methods is an important guide for central and local public administration programs and tourism operators. When reviewing the literature, comparative studies on modeling and forecasting tourism revenues using Artificial Neural Networks (ANNs) are limited and this paper aims to fill this gap. Based on the gap seen in the literature, the purpose of this study is to develop the optimal forecasting model that yields the highest accuracy when comparing the performances of three different methods namely Exponential Smoothing, Box-Jenkins and ANNs for forecasting Turkey's tourism revenues. Forecasting performances of the models were measured by MAPE statistics. As a result of the analyses performed, it was found that ANN Model with [4:5:1] architecture was the best one among the all models applied in this study.

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“…The rank and score of Iran in each index are specified and then are compared to the best performance in that index. Relative Functionality of Iran in each index is obtained by dividing the score of the country into the best performance [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A Strategic Approach to Tourism Development Barriers in Iran

Raad¹

2019

J Tourism Hospit

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This research aims to have a strategic approach to the barriers that have hampered the development of the tourism industry in Iran. This study shows the application of MADM and strategic management tools in national tourism policy-making. In this research, PESTEL analysis is used to identify and classify the barriers that hamper tourism development in Iran. Then the Friedman test is carried out to rank the barriers. Then, the DEMATEL technique is used to determine cause and effect relationships between different types of barriers. After that, Importance-Performance analysis is done to identify the barriers that are the first priority of the country and need immediate attention. Finally, a set of strategies are proposed, evaluated, and ranked by CRITIC and VIKOR methods. This study identifies the most important issues and barriers to tourism development in Iran and proposes the most effective strategies to overcome those barriers. As the current tourism development strategies in Iran are proved to be ineffective and the situation of Iran in the international tourism industry is not comparable with the high potentials of this country, a strategic approach to tourism development barriers is absolutely necessary and valuable.

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Turkish tourism, exchange rates and income

Cited by 14 publications

References 21 publications

Study of Impact of Exchange Rate on Tourism Balance of Payment in Countries With Top Tourist Attractions (Vector Error Correction Approach)

Study of Impact of Exchange Rate on Tourism Balance of Payment in Countries With Top Tourist Attractions (Vector Error Correction Approach)

A Comparative Study on Modelling and Forecasting Tourism Revenues: The Case of Turkey

A Strategic Approach to Tourism Development Barriers in Iran

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