Is tourism an engine for economic recovery? Theory and empirical evidence

Doğru, Tarik; Bulut, Ümit

doi:10.1016/j.tourman.2017.06.014

Cited by 255 publications

(194 citation statements)

References 35 publications

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“…Therefore, this article add value and novelty to previous researches by Po and Huang (2008) and Brida, Cortes-Jimenez et al, (2016) related to Slovenian neighboring countries on economic growth nexus tourism (Dogru & Bulut, 2017). Our study provides a new evidence for a better understanding of the association of different determinants-general and sector specific prices, wages, nominal exchange rate, and tourist arrivals-on the hospitality industry prices.…”

Section: Granger Causality Test Of the Data Vectorsupporting

confidence: 70%

Tourism price causalities: Case of an Adriatic country

Gričar

Bojnec

2017

Journal of Tourism Research

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The aim of this article is to investigate the linearities and causalities between Slovenian tourism and macroeconomic aggregates. The monthly time-series data for the drivers of the rise in the Slovenian hospitality industry prices are tested in the vector autoregressive framework and smooth transition autoregressive model during the 3 specific subperiods. The results are robust for the applied linear methods on prices and value-added tax sensitive tourist demand and for the applied nonlinear methods on exchange rate and labor costs. Granger causality tests confirmed 5 correlations in the set of 3 hypotheses. Input costs are significant drivers for the rise of the Slovenian hospitality industry prices.

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Section: Granger Causality Test Of the Data Vectorsupporting

confidence: 70%

Tourism price causalities: Case of an Adriatic country

Gričar

Bojnec

2017

Journal of Tourism Research

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“…According to the tourism-led growth hypothesis approved by numerous studies (Balaguer and Cantavella-Jordá, 2002;Hye and Khan, 2013;Dogru and Bulut, 2018), tourism specialization has a positive impact on the economic growth of tourism destinations through the improvement of the business environment (Min et al, 2016), which in turn can have an indirect effect on the efficiency of the hotel industry, based on the notion that optimizing the business environment helps improve productivity and competitiveness (Göcen et al, 2017). For instance, Chen (2007) showed that improved tourism growth could perfect the financial performance of Chinese hotel firms.…”

Section: Tourism Specialization and Hotel Efficiencymentioning

confidence: 99%

Higher tourism specialization, better hotel industry efficiency?

Zhang

Zhou

et al. 2020

International Journal of Hospitality Management

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A B S T R A C TThis study examines the effects of both specialization in tourism and market competition on the efficiency of the hotel industry. For this purpose, stochastic frontier analysis (SFA) was employed to evaluate the efficiency of the hotel industry on a provincial level in China and to analyze how it is impacted by specialization in tourism and market competition. The results confirm that tourism specialization and market competition exert a synergistic effect on hotel industry efficiency in China. This study finds that tourism development as represented by a high level of tourism specialization by a destination does not guarantee high efficiency in hotels but does enhance the negative effect of market competition on hotel industry efficiency. Significant policy and managerial implications stem from these findings.

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“…The homogeneity assumption of causality tests in a panel framework may not capture heterogeneity arising on account of country‐specific features (Breitung, ). Even though several studies have ignored the above two issues, following Dogru and Bulut (), the present study first carried out both a slope homogeneity test and a cross‐sectional dependence test before carrying out panel causality tests. Because causality tests are primarily bivariate tests, all such tests were carried out by creating bivariate panel datasets.…”

Section: Introductionmentioning

confidence: 99%

“…The homogeneity assumption of causality tests in a panel framework may not capture heterogeneity arising on account of country-specific features (Breitung, 2005). Even though several studies have ignored the above two issues, following Dogru and Bulut (2018) The purpose of this paper is to re-examine the TLGH in a formal way using the recently proposed Dumitrescu and Hurlin (2012) test for panel causality. So far, only two studies were found to use this version of causality test-for small island developing states (Roudi, Arasli, & Akadiri, 2018) and seven European countries (Dogru & Bulut, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Even though several studies have ignored the above two issues, following Dogru and Bulut (2018) The purpose of this paper is to re-examine the TLGH in a formal way using the recently proposed Dumitrescu and Hurlin (2012) test for panel causality. So far, only two studies were found to use this version of causality test-for small island developing states (Roudi, Arasli, & Akadiri, 2018) and seven European countries (Dogru & Bulut, 2018). Following the above two studies, the study tested the causal association between tourism development and economic progress using a panel dataset of 161 countries.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Is tourism‐led growth hypothesis still valid?

Mitra

2019

Journal of Tourism Research

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The purpose of the study is to re‐examine the direction of the causal relationship between tourism growth and economic progress. Although a vast literature on the topic is available, the results are still mixed and sample dependent. The study re‐examined the causal relationship using as many as 158 countries and classified them into three groups on the basis of the international tourism receipt relative to the gross domestic product (GDP). On methodological front, the study adopted the new panel causality model of Dumitrescu and Hurlin. Before carrying out the causality test, cross‐sectional dependence and homogeneity tests are implemented because the Dumitrescu and Hurlin test can take both cross‐sectional dependence and heterogeneity into account. The interesting outcome of the study is that the bivariate causal relationship has remained consistent across three subsamples when tourism growth is measured in terms of international tourism receipt and related to the GDP.

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Is tourism an engine for economic recovery? Theory and empirical evidence

Cited by 255 publications

References 35 publications

Tourism price causalities: Case of an Adriatic country

Tourism price causalities: Case of an Adriatic country

Higher tourism specialization, better hotel industry efficiency?

Is tourism‐led growth hypothesis still valid?

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