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ECONOMIC EFFICIENCY ANALYSIS OF TOURISM POTENTIAL OF OECD COUNTRIES: AN EMPRICAL STUDY WITH DEA

Yıl 2018, Sayı: 20, 83 - 100, 10.01.2018
https://doi.org/10.18092/ulikidince.277725

Öz

In this study we aim to analyze the efficiency of tourism potential of OECD countries in terms of economics
perspective with the data of 2011-2015 years. Number of arrivals (NoA), tourism expenditures (TE) and logistic
performance index (LPI) were used as input variables; while tourism revenues (TR) as output variables in
accordance with the data acquired from World Bank (WB). Both statical and dynamic DEA were conducted
with output oriented models. Considering the results of both the CCR ad BCC models as a whole; USA,
Australia, Spain, Luxembourg, Portugal, Turkey and New Zealand were efficient countries in all years. Taking
into account the required improvements of the variables of the inefficient countries, it is possible to say that
tourism expenditure of the inefficient countries should be decreased approximately 2%. Moreover, it could
be put forwarded that tourism revenues should be increased approximately 92%. As a result of a dynamic
analysis, eight countries (USA, Australia, Spain, Luxembourg, Portugal, Turkey, New Zealand and Greece) were
observed to be efficient DMUs according to both the CCR and BCC models.

Kaynakça

  • Akal, Z. (2002). Performance Measurement and Control in Business: Multifaceted Performance Indicators, Ankara: MPM Publication.
  • Aktaş, H. (2001). DEA Analysis Approach to Performance Appraisal in Business, Journal of Management and Economics of Celal Bayar University, 7 (1), 163-175.
  • Aksu, A.A. & Köksal, C.D. (2005). Comparisons of the Efficiency of the Independent Hotel Chains with DEA: An Emprical Study in Antalya, Journal of Economics, Business and Finance, 20(235), 97-107.
  • Atan, M. & Arslantürk, Y. (2015). Efficiency of Tourism Potential of Countries, Gazi Journal of Economics and Business, 1(1), 59-76.
  • Babacan, A. & Özcan, S. (2009). Research of Alanya Region Hotels’ Relative Efficiency: An Application of Data Envelopment Analysis Technique, Mustafa Kemal University Journal of Social Sciences Institute, 6(12), 176-189.
  • Bahar, O. & Kozak, M. (2008). Tourism Economics Concepts and Practices, USA: Nova Publishing.
  • Bakırcı, F. (2006). Efficiency in Production and Measuring Productivity: Theory and Application of Data Envelopment Analysis, Ankara: Atlas Publication.
  • Banker, R.D., Charnes, A. & Cooper, W.W. (1984). Some Models For Estimating Technical and Scale Efficiencies in Data Envelopment Analysis, Management Sciences, 30(9), 1078-1092.
  • Bayrak, R. (2015). Efficiency Analysis with DEA, Canakkale Onsekiz Mart Journal of Entrepreneurship and Development, 10(2), 26-51.
  • Bozkurt, Ö. & Ergun, T. (1998). Public Administration Glossary, Ankara: TODAI.
  • Charnes, A., Cooper, W.W. & Rhodes, E. (1978). Measuring The Effıciency of Decision Making Units, European Journal of Operational Research, 2(6), 429-444.
  • Cooper, W., Lawrence, W., Seiford, L.,M. & Tone, K. (2000). Data Envelopment Analysis: A Comprehensive Text With Models, Applications, References and DEA Solver Software, USA: Kluwer Academic Publishers.
  • Coelli, T.J., Rao, D.S.P., O’Donnell, T.J. & Battese, G.E. (2005). An Introduction to Efficiency and Productivity Analysis, USA: Springer.
  • Cooper, W.W., Seiford, L.M. & Zhu, J. (2011). Handbook on Data Envelopment Analysis, USA: Springer.
  • Copeland, B.R. (1991). Tourism, Welfare and De-Industrialization in a Small Open Economy, Economica, 58 (232), 515-529.
  • Dinçer, M.Z. (1993). Tousrism Economics and Tourism in Turkish Economics, İstanbul: Filiz Publication..
  • Efil, İ. (2006). Management and Organization in Business, İstanbul: Alfa Aktüel.
  • Emir, O., Pelit, E., & Günay, F. (2010). Problems of Hotel Managements with Point of View of Employees Who are Graduates: An Application at 5-Star Hotel Managements in Antalya, "Is, Guc" Industrıal Relations And Human Resources Journal, 12(4), 9-31.
  • Emrouznejad, A. & Thanassoulis, E. (2005). A Mathematical Model For Dynamic Efficiency Using Data Envelopment Analysis. Applied Mathematics and Computation, 160 (2), 363-378.
  • Erciş, M.S. & Gülcü, A. (2008). Efficiency Analysis of Accomodation Businesses with Data Envelopment Analysis and an Application, Trakya University 17th Statistics Research Symphosium, 50-61.
  • Färe, R. & Doğramacı, A. (1988). Application of Modern Production Theory: Efficiency and Productivity, Boston: Kluwer Academic Publishers.
  • Farrell, M.J. (1957). The Measurement of Productivit Efficiency, Journal of Royal Statistical Society, Series A (General), 120(3), 253-290.
  • Hwang, S.N. & Chang T. Y. (2003). Using Data Envelopment Analysis to Measure Hotel Managerial Efficiency Change in Taiwan, Tourism Management, 24(4), 357–369.
  • İçöz, O. & Kozak, M. (1998). Tourism Economics. Ankara: Turhan Publication.
  • İlkiz, O. & Hitay, O. (1992). The Problems of the Tourism Education in Turkey, Tourism Education Conference-Workshop. Ankara: Tourism Ministry.
  • Kök, R. (1991). Industrial Efficieny and Productivity, Erzurum: Atatürk University Publications.
  • Kutlar, A. & Babacan, A. (2008). CCR Efficieny-Scale Efficieny in the Public Universities in Turkey: A DEA Application, Kocaeli University Journal of Social Sciences, 15(1), 148-172.
  • Kecek, G. (2010). Data Envelopment Analysis, Ankara: Siyasal Publication.
  • Kumbhakar, S.C. & Lovell, C.A.K. (2000). Stochastic Frontier Analysis, Cambridge: Cambridge University Press.
  • Ramanathan, R. (2003). Data Envelopment Analysis, New Delhi: Sage Publications Ltd.
  • Repkova, I. (2013). Estimation of Banking Efficiency in The Czech Republic: Dynamic Data Envelopment Analysis. Law and Economics Review, 4 (4), 261-275.
  • Rohlstadas, A. (1998). Enterprise Performance Measurement. International Journal of Operations & Production Management, 18(9/10), 989-999.
  • Schneider, H. (1976). Tourism Development in Africa: Scope and Critical Issues, Africa Spectrum, 11 (1), 5-16.
  • Schmitter, C. & Trechsel, P.A.H. (2004). The Future of Democracy in Europe: Trends, Analyses and Reform. Belgium: Council of Europe. Accessed Date: 12.11.2014. https://book.coe.int/eur/en/making-democratic-institutions-work/2987-the-future-of-democracy-trends-analyses-and-reforms.html
  • Sengupta, J.K. (1995). Dynamics of Data Envelopment Analysis: Theory of Systems Efficiency. Netherlands: Kluwer Academic Publishers.
  • Silver, M.S. & Lowe J.F. (2001). An Appraisal of The Performance of Manufacturing Industry in Wales, Journal of Economic Studies, 16(1), 31-47.
  • Tatlı H. & Bayrak, R. (2016). Assessment of The Efficiency of Automotive Industry Firms Listed in Borsa Istanbul with Statical and Dynamical DEA, Research Journal of Politics, Economics and Management, 4(1), 119-145.
  • Tarım, A. (2001). Data Envelopment Analysis: A Relative Approach on the Basis of Mathematical Programming, Ankara: Hacettepe Publications.
  • Toma, E. (2014). Regional Scale Efficiency Evaluation by Input-Oriented Data Envelopment Analysis of Tourism Sector, International Journal of Academic Research in Environment and Geography, 1(1), 15-20.
  • Tone, K. & Tsutsui, M. (2009). “Network DEA: A Slack Based Measure Approach”. European Journal of Operational Research, 197, 243-252.
  • Tone, K. & Tsutsui, M. (2010). “Dynamic DEA: A Slack Based Measure Approach”. Omega, 38, 145-156.
  • TTYD (2016). http://www.ttyd.org.tr/sayfa/2023e-Dogru-Turk-Turizminde-Yatirim-Hamlesi-19/28, (Accessed Date: 03.03.2016).
  • Turkish Hotelier Federation (TUROFED) (2010). Tourism Report, No: 2. Retreved: http://www.turofed. org.tr/galeri/ cop/turi2.pdf. Accessed Date: 12 Ocak 2015.
  • United Nations World Trade Organization (UNWTO). (2015). Press Release, PR No.: 15029. Retreved: http://media. unwto.org/press-release/2015-04-15/exports-international-tourism-rise-us-15-trillion-2014. (Accessed Date: 15.01.2015).
  • Uyar, S. & Alış, M. (2014). Operational Auditing in Hospitality Businesses via Data Envelopment Analysis, Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal, 29(2), 107-136.
  • Ünlüönen, K., Tayfun, A. & Kılıçlar, A. (2007). Tourism Economics, Ankara: Nobel Publication.
  • Ünlüönen, K. & Şahin, S.Z. (2011). Employment in Tourism, Electronical Journal of Social Sciences, 10 (37), 1-25.
  • Yakut, E., Harbalıoğlu, M. & Pekkan, N.Ü. (2015). The Examination of Financial Performance of Companies in Tourism Sector, Which Are Being, Traded in Exchange Istanbul (EI) with Data Envelopment Analysis and Total Factor Productivity, Journal of Business Research, 7(2), 235-257.
  • Yanardağ, M.Ö. & Avcı, M. (2012). Problems in Tourism Sector Employment: An Empirical Evaluation On Marmaris, Fethiye, Bodrum, Ege Strategic Research Journal, 3(2), 39-62.
  • Yavuz, İ. (2001). Efficieny Analysis in Health Sector: An Emprical Application with DEA, Ankara: MPM Publication.
  • Yolalan, R. (1993). Relative Efficiency Analysis in Businesses, Ankara: National Productivity Center Publications.
  • World Bank-WB. (2014). Indicator. http://data.worldbank.org/. Accessed Date: 26.01.2015
  • Worthington, A.C. (2001). An Emprical Survey of Frontier Efficiency Measurement Techniques in Education, Education Economics, 9(3), 237-258.

ECONOMIC EFFICIENCY ANALYSIS OF TOURISM SECTOR IN OECD COUNTRIES: AN EMPRICAL STUDY WITH DEA

Yıl 2018, Sayı: 20, 83 - 100, 10.01.2018
https://doi.org/10.18092/ulikidince.277725

Öz

Bu çalışmada, 2011-2015 yıllarına ait verilerle OECD ülkelerinin turizm etkinliğinin iktisadi analizi yapılmaya
çalışılmıştır. Çalışmada, girdi değişkeni olarak gelen yolcu sayısı, turizm harcamaları, lojistik performans
endeksi; çıktı değişkeni olarak da turizm gelirleri olmak üzere toplam dört değişken kullanılmıştır. Veriler,
Dünya Bankası veri tabanından elde edilmiştir. Analiz yöntemi olarak, statik ve dinamik Veri Zarflama Analizi
(VZA)’nin çıktıya yönelik modelleri kullanılmıştır. Analiz neticesinde; ABD, Avustralya, İspanya, Lüksemburg,
Portekiz, Türkiye ve Yeni Zelanda’nın hem CCR hem de BCC çıktı yönelimli model sonucunda tüm yıllarda etkin
ülkeler olduğu gözlenmiştir. Etkin olmayan ülkelerin değişkenler bazında yapmaları gereken iyileştirme
değerleri incelendiğinde; turizm harcamalarının yaklaşık %2 azaltılması ve turizm gelirlerinin de yaklaşık %92
artırılması gerektiği ortaya çıkmıştır. Beş yıllık verilerin topluca değerlendirildiği dinamik analiz sonucunda CCR
ve BCC çıktı yönelimli modele göre ABD, Avustralya, İspanya, Lüksemburg, Portekiz, Türkiye, Yeni Zelanda ve
Yunanistan’ın etkin ülkeler olduğu gözlenmiştir. 

Kaynakça

  • Akal, Z. (2002). Performance Measurement and Control in Business: Multifaceted Performance Indicators, Ankara: MPM Publication.
  • Aktaş, H. (2001). DEA Analysis Approach to Performance Appraisal in Business, Journal of Management and Economics of Celal Bayar University, 7 (1), 163-175.
  • Aksu, A.A. & Köksal, C.D. (2005). Comparisons of the Efficiency of the Independent Hotel Chains with DEA: An Emprical Study in Antalya, Journal of Economics, Business and Finance, 20(235), 97-107.
  • Atan, M. & Arslantürk, Y. (2015). Efficiency of Tourism Potential of Countries, Gazi Journal of Economics and Business, 1(1), 59-76.
  • Babacan, A. & Özcan, S. (2009). Research of Alanya Region Hotels’ Relative Efficiency: An Application of Data Envelopment Analysis Technique, Mustafa Kemal University Journal of Social Sciences Institute, 6(12), 176-189.
  • Bahar, O. & Kozak, M. (2008). Tourism Economics Concepts and Practices, USA: Nova Publishing.
  • Bakırcı, F. (2006). Efficiency in Production and Measuring Productivity: Theory and Application of Data Envelopment Analysis, Ankara: Atlas Publication.
  • Banker, R.D., Charnes, A. & Cooper, W.W. (1984). Some Models For Estimating Technical and Scale Efficiencies in Data Envelopment Analysis, Management Sciences, 30(9), 1078-1092.
  • Bayrak, R. (2015). Efficiency Analysis with DEA, Canakkale Onsekiz Mart Journal of Entrepreneurship and Development, 10(2), 26-51.
  • Bozkurt, Ö. & Ergun, T. (1998). Public Administration Glossary, Ankara: TODAI.
  • Charnes, A., Cooper, W.W. & Rhodes, E. (1978). Measuring The Effıciency of Decision Making Units, European Journal of Operational Research, 2(6), 429-444.
  • Cooper, W., Lawrence, W., Seiford, L.,M. & Tone, K. (2000). Data Envelopment Analysis: A Comprehensive Text With Models, Applications, References and DEA Solver Software, USA: Kluwer Academic Publishers.
  • Coelli, T.J., Rao, D.S.P., O’Donnell, T.J. & Battese, G.E. (2005). An Introduction to Efficiency and Productivity Analysis, USA: Springer.
  • Cooper, W.W., Seiford, L.M. & Zhu, J. (2011). Handbook on Data Envelopment Analysis, USA: Springer.
  • Copeland, B.R. (1991). Tourism, Welfare and De-Industrialization in a Small Open Economy, Economica, 58 (232), 515-529.
  • Dinçer, M.Z. (1993). Tousrism Economics and Tourism in Turkish Economics, İstanbul: Filiz Publication..
  • Efil, İ. (2006). Management and Organization in Business, İstanbul: Alfa Aktüel.
  • Emir, O., Pelit, E., & Günay, F. (2010). Problems of Hotel Managements with Point of View of Employees Who are Graduates: An Application at 5-Star Hotel Managements in Antalya, "Is, Guc" Industrıal Relations And Human Resources Journal, 12(4), 9-31.
  • Emrouznejad, A. & Thanassoulis, E. (2005). A Mathematical Model For Dynamic Efficiency Using Data Envelopment Analysis. Applied Mathematics and Computation, 160 (2), 363-378.
  • Erciş, M.S. & Gülcü, A. (2008). Efficiency Analysis of Accomodation Businesses with Data Envelopment Analysis and an Application, Trakya University 17th Statistics Research Symphosium, 50-61.
  • Färe, R. & Doğramacı, A. (1988). Application of Modern Production Theory: Efficiency and Productivity, Boston: Kluwer Academic Publishers.
  • Farrell, M.J. (1957). The Measurement of Productivit Efficiency, Journal of Royal Statistical Society, Series A (General), 120(3), 253-290.
  • Hwang, S.N. & Chang T. Y. (2003). Using Data Envelopment Analysis to Measure Hotel Managerial Efficiency Change in Taiwan, Tourism Management, 24(4), 357–369.
  • İçöz, O. & Kozak, M. (1998). Tourism Economics. Ankara: Turhan Publication.
  • İlkiz, O. & Hitay, O. (1992). The Problems of the Tourism Education in Turkey, Tourism Education Conference-Workshop. Ankara: Tourism Ministry.
  • Kök, R. (1991). Industrial Efficieny and Productivity, Erzurum: Atatürk University Publications.
  • Kutlar, A. & Babacan, A. (2008). CCR Efficieny-Scale Efficieny in the Public Universities in Turkey: A DEA Application, Kocaeli University Journal of Social Sciences, 15(1), 148-172.
  • Kecek, G. (2010). Data Envelopment Analysis, Ankara: Siyasal Publication.
  • Kumbhakar, S.C. & Lovell, C.A.K. (2000). Stochastic Frontier Analysis, Cambridge: Cambridge University Press.
  • Ramanathan, R. (2003). Data Envelopment Analysis, New Delhi: Sage Publications Ltd.
  • Repkova, I. (2013). Estimation of Banking Efficiency in The Czech Republic: Dynamic Data Envelopment Analysis. Law and Economics Review, 4 (4), 261-275.
  • Rohlstadas, A. (1998). Enterprise Performance Measurement. International Journal of Operations & Production Management, 18(9/10), 989-999.
  • Schneider, H. (1976). Tourism Development in Africa: Scope and Critical Issues, Africa Spectrum, 11 (1), 5-16.
  • Schmitter, C. & Trechsel, P.A.H. (2004). The Future of Democracy in Europe: Trends, Analyses and Reform. Belgium: Council of Europe. Accessed Date: 12.11.2014. https://book.coe.int/eur/en/making-democratic-institutions-work/2987-the-future-of-democracy-trends-analyses-and-reforms.html
  • Sengupta, J.K. (1995). Dynamics of Data Envelopment Analysis: Theory of Systems Efficiency. Netherlands: Kluwer Academic Publishers.
  • Silver, M.S. & Lowe J.F. (2001). An Appraisal of The Performance of Manufacturing Industry in Wales, Journal of Economic Studies, 16(1), 31-47.
  • Tatlı H. & Bayrak, R. (2016). Assessment of The Efficiency of Automotive Industry Firms Listed in Borsa Istanbul with Statical and Dynamical DEA, Research Journal of Politics, Economics and Management, 4(1), 119-145.
  • Tarım, A. (2001). Data Envelopment Analysis: A Relative Approach on the Basis of Mathematical Programming, Ankara: Hacettepe Publications.
  • Toma, E. (2014). Regional Scale Efficiency Evaluation by Input-Oriented Data Envelopment Analysis of Tourism Sector, International Journal of Academic Research in Environment and Geography, 1(1), 15-20.
  • Tone, K. & Tsutsui, M. (2009). “Network DEA: A Slack Based Measure Approach”. European Journal of Operational Research, 197, 243-252.
  • Tone, K. & Tsutsui, M. (2010). “Dynamic DEA: A Slack Based Measure Approach”. Omega, 38, 145-156.
  • TTYD (2016). http://www.ttyd.org.tr/sayfa/2023e-Dogru-Turk-Turizminde-Yatirim-Hamlesi-19/28, (Accessed Date: 03.03.2016).
  • Turkish Hotelier Federation (TUROFED) (2010). Tourism Report, No: 2. Retreved: http://www.turofed. org.tr/galeri/ cop/turi2.pdf. Accessed Date: 12 Ocak 2015.
  • United Nations World Trade Organization (UNWTO). (2015). Press Release, PR No.: 15029. Retreved: http://media. unwto.org/press-release/2015-04-15/exports-international-tourism-rise-us-15-trillion-2014. (Accessed Date: 15.01.2015).
  • Uyar, S. & Alış, M. (2014). Operational Auditing in Hospitality Businesses via Data Envelopment Analysis, Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal, 29(2), 107-136.
  • Ünlüönen, K., Tayfun, A. & Kılıçlar, A. (2007). Tourism Economics, Ankara: Nobel Publication.
  • Ünlüönen, K. & Şahin, S.Z. (2011). Employment in Tourism, Electronical Journal of Social Sciences, 10 (37), 1-25.
  • Yakut, E., Harbalıoğlu, M. & Pekkan, N.Ü. (2015). The Examination of Financial Performance of Companies in Tourism Sector, Which Are Being, Traded in Exchange Istanbul (EI) with Data Envelopment Analysis and Total Factor Productivity, Journal of Business Research, 7(2), 235-257.
  • Yanardağ, M.Ö. & Avcı, M. (2012). Problems in Tourism Sector Employment: An Empirical Evaluation On Marmaris, Fethiye, Bodrum, Ege Strategic Research Journal, 3(2), 39-62.
  • Yavuz, İ. (2001). Efficieny Analysis in Health Sector: An Emprical Application with DEA, Ankara: MPM Publication.
  • Yolalan, R. (1993). Relative Efficiency Analysis in Businesses, Ankara: National Productivity Center Publications.
  • World Bank-WB. (2014). Indicator. http://data.worldbank.org/. Accessed Date: 26.01.2015
  • Worthington, A.C. (2001). An Emprical Survey of Frontier Efficiency Measurement Techniques in Education, Education Economics, 9(3), 237-258.
Toplam 53 adet kaynakça vardır.

Ayrıntılar

Bölüm MAKALELER
Yazarlar

Rıza Bayrak

Ozan Bahar

Yayımlanma Tarihi 10 Ocak 2018
Yayımlandığı Sayı Yıl 2018 Sayı: 20

Kaynak Göster

APA Bayrak, R., & Bahar, O. (2018). ECONOMIC EFFICIENCY ANALYSIS OF TOURISM SECTOR IN OECD COUNTRIES: AN EMPRICAL STUDY WITH DEA. Uluslararası İktisadi Ve İdari İncelemeler Dergisi(20), 83-100. https://doi.org/10.18092/ulikidince.277725


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