Abstract
This study proposes the use of the Gini index and the non-parametric method of Data Envelopment Analysis (DEA) for strategic planning and performance management in the Greek tourism sector. To attain our research effort, we use an innovative two-stage DEA bootstrap procedure to establish, among other determinants, the Gini coefficient in the light of tourism performance. According to our scale analysis a high turnover rate of low-skilled and badly paid seasonal jobs is an important challenge need to be addressed, by promoting full and productive employment. The results of the Simar and Wilson two stage analysis reveal that Greece’s seasonality and the number of overnights by domestic tourists are negatively related with tourism performance. In fact the global financial recession and the austerity measures implemented on the Greek economy had a high impact on the domestic tourism behavior. However this situation could be reversed through price differentiation and tax incentives. In contrast to domestic tourists, the number of inbound overnight stays is positively associated with tourism performance, as a result of the growth path from 2010 onward, of the world’s major economies. This trend must be further strengthened through alternative forms of tourism such as cultural tourism that needs more concentration on upgrading the attractiveness of museums and archaeological sites.
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Notes
Airports under consideration by region: Attica: Athens and Kythira, Central Greece: Skyros, Central Macedonia: Thessaloniki, Crete: Heraklion, Chania and Sitia, Eastern Macedonia Thrace: Alexandroupoli and Kavala, Epirus: Ioannina, Ionian Islands: Zakynthos, Corfu and Kafalonia, North Aegean: Limnos, Mytilini, Samos, Chios and Ikaria, Peloponnese: Kalamata, South Aegean: Karpathos, Kalymnos, Kos, Mykonos, Naxos, Rhodes, Santorini, Syros and Paros, Thessaly: Volos and Skiathos, Western Greece: Araxos and Aktio.
The region of Western Macedonia is not examined because of missing values in the variable of international arrivals, for different months over the years under consideration.
References
Abad A, Kongmanwatana P (2015) Comparison of destination competitiveness ranking in the European Union using a non-parametric approach. Tour Econ 21(2)
Anderson RI, Fish M, Xia Y, Michello F (1999) Measuring efficiency in the hotel industry: a stochastic frontier approach. Hosp Manag 18:45–57
Anderson RI, Fok R, Scott J (2000) Hotel industry efficiency: an advanced linear programming examination. Am Bus Rev 18:40–48
Balcombe K, Fraser I, Latruffe L, Rahman M, Smith L (2008) An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming. Appl Econ 40(15):1919–1925
Banker RD, Charnes A, Cooper WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag Sci 30:1078–1092
Baron RR (1975) Seasonality in tourism: a guide to the analysis of seasonality and trends for policy making. Economics Intelligence Unit, London
Barros CP (2005) Evaluating the efficiency of a small hotel chain with a Malmquist produtivity index. Int J TourRes 7:173–184
Barros CP, Santos C (2006) The measurement of efficiency in Portuguese hotels using data envelopment analysis. J Hosp Tour Res 30(3):378–400
Barros C, Dieke P, Santos C (2009) Heterogeneous technical efficiency of hotels in Luanda. Angola Tour Econ 16(1):137–151
Barros CP, Botti L, Peypoch N, Robinot E, Solonandrasana B, Assaf GA (2011) Performance of French destinations: tourism attraction perspectives. Tour Manag 32(1):141–146. https://doi.org/10.1016/j.tourman.2010.01.015
Bell RA, Morey RC (1995) Increasing the efficiency of corporate travel management through macro benchmarking. J Travel Res 33:11–20
Benito B, Solana J, Lopez P (2014) Determinants of spanish regions' tourism performance: a two-stage, double-bootstrap data envelopment analysis. Tour Econ 20(5):987–1012
Chen TH (2009) Performance measurement of an enterprise and business units with an application to a Taiwanese hotel chain. Int J Hosp Manag 28:415–422
Chiang WE, Tsai MH, Wang LSM (2004) A DEA evaluation of Taipei hotels. Ann Tour Res 31(3):712–715
Cisneros-Martínez JD, McCabe S, Fernández-Morales A (2018) The contribution of social tourism to sustainable tourism: a case study of seasonally adjusted programmes in Spain. J Sustain Tour 26(1):85–107. https://doi.org/10.1080/09669582.2017.1319844
Cracolici MF, Nijkamp P, Rietveld P (2008) Assessment of tourism competitiveness by analyzing destination efficiency. Tour Econ 14(2):325–342
Cracolici MF, Nijkamp P (2006) Competition among tourist destination: an application of data envelopment analysis to Italian provinces. In: Giaoutzi M, Nijkamp P (eds) Tourism and regional development. New Pathways, Ashgate, Aldershot, England, pp 133–152
Cracolici MF, Nijkamp P (2008) The attractiveness and competitiveness of tourist destinations: a study of Southern Italian regions. Tour Manage 30(3):336–344
Dimitriou D, Sartzetaki M (2018) Assessing air transport socio-economic footprint. Int J Transport Sci Technol 7(4):283–290. https://doi.org/10.1016/j.ijtst.2018.07.001
Dorfman R (1979) A formula for the Gini coefficient. Rev Econ Stat 61(1):146–149.
Fernández-Morales J-M, McCabe S (2016) Seasonal concentration of tourism demand: decomposition analysis and marketing implications. Tour Manage 56:172–190
Gini C (1912) Variabilita e Mutabilitd. Tipografia di Paolo Cuppini, Bologna
González-Rodríguez MR, Rosario Carmen M-S, Mehmet Ali K, Fevzi O (2019) Hotels’ corporate social responsibility practices, organizational culture, firm reputation, and performance. J Sustain Tour 27(3):398–419. https://doi.org/10.1080/09669582.2019.1585441
Gyða Þ, Rögnvaldur Ó (2017) A method to analyse seasonality in the distribution of tourists in Iceland. J Outdoor Recreation Tour 19:17–24. https://doi.org/10.1016/j.jort.2017.05.001
Hwang SN, Chang TY (2003) Using data envelopment analysis to measure hotel managerial efficiency change in Taiwan. Tour Manage 24:357–369
Hellenic Chamber of Hotels (2019) Available for download at: https://www.grhotels.gr/, https://www.grhotels.gr/category/epicheirimatiki-enimerosi/statistika/dynamikotites/
Hellenic Civil Aviation Authority (YPA) (2019) Available for download at: https://www.ypa.gr/en/
Hellenic Statistical Authority (ELSTAT) (2019), available for download at: https://www.statistics.gr, https://www.statistics.gr/en/statistics/-/publication/STO12/.
ICAO (2017) Aviation benefits beyond borders, pp. 20–24. Available for download at: https://www.icao.int/sustainability/Documents/AVIATION-BENEFITS-2017-web.pdf.
Institute of the Greek Tourism Federation (INSETE) (2018a) Statistic newsletter December 2018. Available for download at: https://insete.gr/wp-content/uploads/2019/10/Bulletin_1812.pdf. Accessed date: 11 November, 2019.
Institute of the Greek Tourism Federation (INSETE) (2018b) The Contribution of Tourism to the Greek Economy in 2018, available for download at:https://www.insete.gr/Portals/0/meletes-INSETE/01/2019/2019_SymvolhTourismou-2018.pdf, https://www.maritimes.gr/news/uploads/uploads/2019_SymvolhTourismou-2018.pdf. Accessed date: 11 November 2019.
Institute of the Greek Tourism Federation (INSETE) (2019) Regional statistics. Available for download at: https://www.insete.gr/en-gb/, https://insete.gr/statistika-stoixeia-perifereion/. Accessed date: 14 June 2019.
Jacobs R, Smith P, Street A (2006) Measuring efficiency in health care: analytic techniques and health policy. Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9780511617492
Koenig-Lewis N, Bischoff E (2005) Seasonality research: the state of the art. J Tour Res 7(4–5):201–219. https://doi.org/10.1002/jtr.531
Karakitsiou A, Kourgiantakis M, Mavrommati A, Migdalas A (2018) Regional efficiency evaluation by input-oriented data envelopment analysis of hotel and restaurant sector. Oper Res Int J. https://doi.org/10.1007/s12351-018-0406-1
Lado-Sestayo R, Fernández-Castro Á-S (2019) The impact of tourist destination on hotel efficiency: a data envelopment analysis approach. Eur J Oper Res 272:674–686
Li R, Guo Q, Wu D, Yin H, Zhang H, Zhu T (2014) Spatial characteristics of development efficiency for urban tourism in eastern China: a case study of six coastal urban agglomerations. J Geog Sci 24(6):1175–1197
Lundtorp S (2001) Measuring tourism seasonality. In: Baum T, Lundtorp S (eds) Seasonality in tourism. Pergamon Press, London, pp 23–50
McDonald J (2009) Using least squares and tobit in second stage DEA efficiency analyses. Eur J Oper Res 197(2):792–798. https://doi.org/10.1016/j.ejor.2008.07.039
Ministry of Culture and Sports (2019) Available for download at: https://www.culture.gov.gr/en/SitePages/default.aspx
Martin J-C, Mendoza C, Concepcion R (2017) Regional Spanish tourism competitiveness. J ERSA 4(3):153–173
Nemati M, Kazemi Matin R, Toloo M (2020) A two-stage DEA model with partial impacts between inputs and outputs: application in refinery industries. Ann Oper Res. https://doi.org/10.1007/s10479-020-03665-x
Pérez-Rodriguez JV, Acosta-Gonzàlez E (2007) Cost efficiency of the lodging industry in the tourist destination of Gran Canaria (Spain). Tour Manage 28(4):993–1005
Perrigot R, Cliquet G, Piot-Lepetit I (2009) Plural form chain and efficiency: insights from the French hotel chains and the DEA methodology. Eur Manage J 27:268–280
Þórhallsdóttir G, Ólafsson R (2017) A method to analyse seasonality in the distribution of tourists in Iceland. J Outdoor Recreat Tour 19:17–25
Pulina M, Detotto C, Paba A (2010) An investigation into the relationship between size and efficiency of the Italian hospitality sector: a window DEA approach. Eur J Oper Res 204:613–620
Rosselló J, Sansó A (2017) Yearly, monthly and weekly seasonality of tourism demand: a decomposition analysis. Tourism Manag 60(C):379–389. https://doi.org/10.1016/j.tourman.2016.12.019.
Chaabouni S (2019) China's regional tourism efficiency: a two-stage double bootstrap data envelopment analysis. J Destination Market Manage 11:183–191. https://doi.org/10.1016/j.jdmm.2017.09.002
Shang JK, Wang FC, Hung WT (2010) A stochastic DEA study of hotel efficiency. Appl Econ 42:2505–2518
Simar L, Wilson PW (2007) Estimation and inference in two stage, semi-parametric models of productive efficiency. J Economet 136:31–64
Simar L, Wilson PW (2011) Two-stage DEA: caveat emptor. J Prod Anal 36:205. https://doi.org/10.1007/s11123-011-0230-6
Solana-Ibáñez J, Caravaca-Garratón M, Para-González L (2016) Two-stage data envelopment analysis of Spanish regions: efficiency determinants and stability analysis. Contemporary Econ 10(3):259–274. ISSN 2084-0845. https://doi.org/10.5709/ce.1897-9254.214
Suštar N, Laškarin Ažić M (2020) Measuring tourism seasonality across selected Mediterranean Countries. KnE Social Sci 4(1):216–229. https://doi.org/10.18502/kss.v4i1.5990
Tsaur S (2001) The operating efficiency of international tourist hotels in Taiwan. Asia Pacific J Tour Res 6:73–81
Tsitouras A (2004) Adjusted Gini coefficient and ‘Months Equivalent’ degree of tourism seasonality: a research note. Tour Econ 10(1):95–100. https://doi.org/10.5367/000000004773166619
Webster C, Ivanov S (2014) Transforming competitiveness into economic benefits: does tourism stimulate economic growth in more competitive destinations? Tour Manag 40:137–140.
Weidner S (2006) “Seasonality in tourism: a review of seasonality of hotel accommodation in New Zealand”, seminar paper, Akademische Schriftenreihe, vol V122991. GRIN Verlag, Norderstedt
Wöber KW (2006) Data envelopment analysis. J Travel Tour Market 21(4):91–107
Yang HH, Chang CY (2009) Using DEA window analysis to measure efficiencies of Taiwan's integrated telecommunication firms. Telecommun Policy 33(1/2):98–108
Yigitcanlar T, Sabatini-Marques J, Lorenzi C, Bernardinetti N, Schreiner T, Fachinelli A, Wittmann T (2018) Towards smart Florianópolis: what does it take to transform a tourist Island into an innovation capital?". Energies 11(12):3265
Zhou Z, Huang Y, Hsu MK (2008) Using data envelopment analysis to evaluate efficiency: an exploratory study of the Chinese hotel industry. J Qual Assur Hosp Tour 9(3):240–256
Zhu J (2014). Envelopment DEA Models. In: Quantitative models for performance evaluation and benchmarking. Int Ser Oper Res Manage Sci vol 213. https://doi.org/10.1007/978-3-319-06647-9_2
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Bampatsou, C., Halkos, G. & Astara, OH. Composite indicators in evaluating tourism performance and seasonality. Oper Res Int J 22, 2373–2396 (2022). https://doi.org/10.1007/s12351-020-00610-5
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DOI: https://doi.org/10.1007/s12351-020-00610-5