scholarly journals Socio-Economic Determinants of International Tourism Demand for Turkey: Panel Data Analysis

2017 ◽  
Author(s):  
Ş. Mustafa Ersungur ◽  
Ömer Doru ◽  
Mehmet Barış Aslan
Keyword(s):  
Developing Countries ◽  
World War Ii ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Political Stability ◽  
Developed Countries ◽  
Relative Price ◽  
International Tourism ◽  
Tourism Demand ◽  
Economic Determinants

Tourism is one of the main sectors that is rapidly growing across the world, especially for developing countries that yields considerable foreign exchange. In this sense, tourism has become a significant factor in the development processes that have been introduced in order to bring especially developing countries which have begun to develop aftermath of World War II closer to developed countries. Tourism is an important source of development for Turkey which has a high tourism potential. The aim of this study is to investigate the determinants of international tourism demand for Turkey with panel data method. Within this aim, the factors which affect movements of tourism have been tried to determine by using socio-economic data of 22 countries which generate the largest number of tourist from 2000 to 2014. The number of tourists from each selected country which come Turkey has been used as dependent variable in the study. As the independent variables; income levels and relative price levels of tourist sending countries, exchange rate variable between the two countries, political stability variable of tourist sending country and tourism expenditures per capita have included in the study. Within using panel data method, the findings of the study show that all the variables have received the expected sign. Therefore, these findings have indicated that they are effective on the tourism demand.

scholarly journals Service Export Sensitivity to Internet Adoption: Evidence From Dynamic Panel Data Analysis

2020 ◽  
Vol 11 (6) ◽  
pp. 259
Author(s):  
Walid Chatti ◽  
Haitham Khoj
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Developed Countries ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Internet Adoption ◽  
The Impact ◽  
Dynamic Panel Data Analysis ◽  
Service Export

This study aims to examine the causal linkages relating service exports to internet penetration for 116 countries over the period 2000-2017. Taking into account a wide panel of countries, we apply 2-Step GMM methodology for dynamic panel data models. The results show a bi-directional causality relating service exports to internet adoption for developed countries. For the global panel and developing countries, we find those same results attest a positive relationship between the internet adoption and service exports, but in the opposite way; the impact is very low and not significant. Regarding developing countries, despite the fact that internet positively affects service exports, it is considered less efficient than in developed countries.

Impact of Trade Openness on Economic Growth in Emerging Economies: A Panel Data Analysis

2021 ◽  
Vol 9 (2) ◽  
pp. 210-216
Author(s):  
Muhammad Atiq Ur Rehman ◽  
Ruqia Shaheen ◽  
Farzana Munir
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Emerging Economies ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Generalized Method Of Moments ◽  
Developed Countries ◽  
Export Promotion ◽  
Promotion Strategies

The role of international trade in boosting economic growth is imperative in the era of globalization and trade liberalization. A trade openness policy can help stimulate economic growth mainly in two ways. Firstly, technology is transferred from developed countries to developing countries through imports. Secondly, the export promotion strategies facilitate the innovations and inventions promoting competition among the producers. In this way, research-intensive specialization culture is flourished in developing countries. This study aims at examining the effect of global trade orientation on growth in 23 emerging economies for the period 1995-2018. The panel data estimation approach including fixed effect and generalized method of moments (GMM) reveal a positive and statistically significant influence of trade openness on economic growth.  The empirical results are robust to the various specifications, supporting the trade-led growth notion in the economies under consideration. The emerging economies can achieve higher growth rates through trade openness and export promotion strategies.

Wealth and governance in unstable states : South Africa as a context for Mancur Olson's theory of collective action

2016 ◽  
Author(s):  
◽  
Pamela E. Kelrick
Keyword(s):  
South Africa ◽  
Developing Countries ◽  
Collective Action ◽  
Temporal Dynamics ◽  
Generalized Additive Models ◽  
Political Stability ◽  
Developed Countries ◽  
Additive Models ◽  
Policy Implications ◽  
Empirical Analyses

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Mancur Olson's theory of collective action has primarily been construed and applied to developed countries with formal economies and (generally) socio-political stability. Yet, he asserted that his theory of collective action would apply in developing countries, even those which are far less stable. This study examined Olson's assertion that collective action applies in developing countries, using South Africa as a case study. The empirical analyses included canonical correlation analysis and generalized additive models, using attribute, spatial, and temporal data to understand the spatial and temporal dynamics between wealth and governance in South Africa. Geographic clustering by race and economic class remains persistent despite democratic reforms and improved governance engagement. In addition, findings of the empirical analyses were used to evaluate Olson's theory of collective action and frame the policy implications. Collective action is consistent with findings, but, in the context of developing countries, ought to include more prominent considerations of path dependency, increasing returns, and historical institutionalism.

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.

Wage- and profit-led growth regimes: a panel-data approach

2021 ◽  
Vol 9 (3) ◽  
pp. 394-412
Author(s):  
Guilherme de Oliveira ◽  
Eduardo Prado Souza
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Latin American ◽  
Structural Characteristics ◽  
Developed Countries ◽  
Domestic Investment ◽  
Growth Regime ◽  
Investment Function ◽  
Trade Channel

The extensive empirical effort made in the growth and distribution literature to estimate whether economic growth is wage- or profit-led has not sufficiently considered the theoretical foundation of the Neo-Kaleckian model. This paper attempts to respect key tenets of the investment function by estimating a panel-data model in which country-specific structural characteristics and possible endogenous relationships in income distribution and economic growth are explicitly considered. The identification strategy is based on several estimates of the capital stock and the rate of capacity utilization for 61 countries over the period between 1995 and 2014. The main results suggest that the growth regime was wage-led in developed countries, while most developing countries exhibited a profit-led growth regime. Interestingly, however, while the profit-led regime occurs through the international trade channel in Latin American countries, in other developing countries, the causality channel is mainly related to the domestic investment function.

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