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Revisiting the convergence hypothesis for tourism markets: evidence from Turkey using the pairwise approach

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Revisiting the convergence hypothesis for tourism markets: evidence from Turkey using the pairwise approach. / Abbott, Andrew James; De Vita, Glauco; Altinay, Levent.
In: Tourism Management, Vol. 33, No. 3, 25.06.2011, p. 537-544.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Abbott, AJ, De Vita, G & Altinay, L 2011, 'Revisiting the convergence hypothesis for tourism markets: evidence from Turkey using the pairwise approach', Tourism Management, vol. 33, no. 3, pp. 537-544. https://doi.org/10.1016/j.tourman.2011.06.003

APA

Abbott, A. J., De Vita, G., & Altinay, L. (2011). Revisiting the convergence hypothesis for tourism markets: evidence from Turkey using the pairwise approach. Tourism Management, 33(3), 537-544. https://doi.org/10.1016/j.tourman.2011.06.003

Vancouver

Abbott AJ, De Vita G, Altinay L. Revisiting the convergence hypothesis for tourism markets: evidence from Turkey using the pairwise approach. Tourism Management. 2011 Jun 25;33(3):537-544. doi: 10.1016/j.tourman.2011.06.003

Author

Abbott, Andrew James ; De Vita, Glauco ; Altinay, Levent. / Revisiting the convergence hypothesis for tourism markets : evidence from Turkey using the pairwise approach. In: Tourism Management. 2011 ; Vol. 33, No. 3. pp. 537-544.

Bibtex

@article{b6fe8813598149299e176d5add4c377b,
title = "Revisiting the convergence hypothesis for tourism markets: evidence from Turkey using the pairwise approach",
abstract = "This paper empirically revisits the tourism markets convergence hypothesis (Narayan, 2006) for the case of Turkey by employing the newly developed pairwise approach to the analysis of stochastic convergence (Pesaran, 2007, Pesaran et al., 2009). This new approach allows for unit root tests to be conducted on all possible pairs of tourist arrival differentials across Turkey{\textquoteright}s 20 major tourist source markets, thus avoiding the need to choose a base source market or total tourist arrivals figure as the benchmark. Using monthly data over the period January 1996 to December 2009, the main finding is that despite considerable {\textquoteleft}co-movement{\textquoteright} of international tourist arrivals in Turkey, there is no evidence of long-run {\textquoteleft}convergence{\textquoteright} among Turkey{\textquoteright}s major tourism markets. Cluster-based club convergence analyses alongside bivariate pairwise estimations confirm the lack of convergence and highlight specific tourist source markets with considerable untapped potential. These findings have profound policy implications for Turkey{\textquoteright}s inbound tourism planning and promotion.",
keywords = "Tourism markets, Convergence hypothesis, Pairwide Approach, Turkey",
author = "Abbott, {Andrew James} and {De Vita}, Glauco and Levent Altinay",
year = "2011",
month = jun,
day = "25",
doi = "10.1016/j.tourman.2011.06.003",
language = "English",
volume = "33",
pages = "537--544",
journal = "Tourism Management",
issn = "0261-5177",
publisher = "Elsevier Ltd",
number = "3",

}

RIS

TY - JOUR

T1 - Revisiting the convergence hypothesis for tourism markets

T2 - evidence from Turkey using the pairwise approach

AU - Abbott, Andrew James

AU - De Vita, Glauco

AU - Altinay, Levent

PY - 2011/6/25

Y1 - 2011/6/25

N2 - This paper empirically revisits the tourism markets convergence hypothesis (Narayan, 2006) for the case of Turkey by employing the newly developed pairwise approach to the analysis of stochastic convergence (Pesaran, 2007, Pesaran et al., 2009). This new approach allows for unit root tests to be conducted on all possible pairs of tourist arrival differentials across Turkey’s 20 major tourist source markets, thus avoiding the need to choose a base source market or total tourist arrivals figure as the benchmark. Using monthly data over the period January 1996 to December 2009, the main finding is that despite considerable ‘co-movement’ of international tourist arrivals in Turkey, there is no evidence of long-run ‘convergence’ among Turkey’s major tourism markets. Cluster-based club convergence analyses alongside bivariate pairwise estimations confirm the lack of convergence and highlight specific tourist source markets with considerable untapped potential. These findings have profound policy implications for Turkey’s inbound tourism planning and promotion.

AB - This paper empirically revisits the tourism markets convergence hypothesis (Narayan, 2006) for the case of Turkey by employing the newly developed pairwise approach to the analysis of stochastic convergence (Pesaran, 2007, Pesaran et al., 2009). This new approach allows for unit root tests to be conducted on all possible pairs of tourist arrival differentials across Turkey’s 20 major tourist source markets, thus avoiding the need to choose a base source market or total tourist arrivals figure as the benchmark. Using monthly data over the period January 1996 to December 2009, the main finding is that despite considerable ‘co-movement’ of international tourist arrivals in Turkey, there is no evidence of long-run ‘convergence’ among Turkey’s major tourism markets. Cluster-based club convergence analyses alongside bivariate pairwise estimations confirm the lack of convergence and highlight specific tourist source markets with considerable untapped potential. These findings have profound policy implications for Turkey’s inbound tourism planning and promotion.

KW - Tourism markets

KW - Convergence hypothesis

KW - Pairwide Approach

KW - Turkey

U2 - 10.1016/j.tourman.2011.06.003

DO - 10.1016/j.tourman.2011.06.003

M3 - Journal article

VL - 33

SP - 537

EP - 544

JO - Tourism Management

JF - Tourism Management

SN - 0261-5177

IS - 3

ER -