MEASURING TECHNICAL EFFICIENCY AMONG DEPARTMENT OF TOURISM (DOT) ACCREDITED RESORTS IN DAVAO REGION: APPLICATION OF DATA ENVELOPMENT ANALYSIS (DEA)

Clarence Joy D. Alcaraz, Lilibeth C. Aragon

Abstract


One of the most important players in the hospitality and tourism industries is the resort industry. Data envelopment analysis (DEA) allows measuring the variation in efficiency between resorts businesses and in a particular time period. Furthermore, this technique allows the identification of the possible sources of inefficiency. The study developed a methodology utilizing the capabilities of Data Envelopment Analysis that provides a reasonably accurate means of evaluating the technical efficiency of DOT-accredited resorts in the Davao Region. Results of the study reveal that 18 out of 23 DMUs classified as fully efficient comprising 82.61% while the other 5 DMUs are under-efficient constituting 17.39% in total. Moreover, demographic characteristic significantly contributes to the efficient performance of DOT-accredited resorts in the Davao Region. These demographic characteristics, such as provincial category, type of resorts, and accessibility, provide policymakers, industry stakeholders, and tourism associations with information regarding the state of the tourism industry in various provinces, the type of resorts, and the means of reaching the resorts (accessibility). These results enable more focused assistance and coordinated efforts to improve the region's competitiveness and sustainability.

 

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Data Envelopment Analysis (DEA), efficiency, dot-accredited resorts, Davao region

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Ali, M., & Park, K. (2021), Measuring technical efficiency of beach resorts in Malaysia. Journal of Hospitality and Tourism Management, 46, 56-65. doi 10.1016/j.jhtm.2021.03.002

Anderson, R.I., Fish, M., Xia, Y. and Mixhello, F. (1999), Measuring efficiency in the hotel industry: a stochastic approach, International Journal of Hospitality Management, Vol. 18 No. 1, pp. 45-47.

Anderson, R.I., Fok, R. and Scott, J. (2000), Hotel industry efficiency: an advanced linear programming examination, American Business Review, Vol. 18 No. 1, p. 40.

Ashrafi, A., Seow, H.V., Lee, L.S. and Lee, C.G. (2013), The efficiency of the hotel industry in Singapore, Tourism Management, Vol. 37, pp. 31-34.

Assaf, A.G. (2012), “Benchmarking the Asia Pacific tourism industry: a Bayesian combination of DEA and stochastic frontier”, Tourism Management, Vol. 33 No. 5, pp. 1122-1127.

Banker, R.D.; Charnes, A.; Cooper, W.W. Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manag. Sci. 1984, 30, 1078–1092.

Black, J. S., & Boal, K. B. (1994). Strategic resources: Traits, configurations, and paths to

sustainable competitive advantage. Strategic Management Journal, 15(S1), 131-148.

Barros, C. (2004), A stochastic cost frontier in the Portuguese hotel industry, Tourism Economics, Vol. 10, pp. 177-192.

Barros, C.P. (2006), A benchmark analysis of Italian seaports using data envelopment analysis, Maritime Economics and Logistics, Vol. 8 No. 4, pp. 347-365.

Barros, C.P. and Dieke, P.U. (2008), Measuring the economic efficiency of airports: a Simar–Wilson methodology analysis, Transportation Research Part E: Logistics and Transportation Review, Vol. 44 No. 6, pp. 1039-1051.

Barros, C.A.P. and Santos, C.A. (2006), The measurement of efficiency in Portuguese hotels using data envelopment analysis, Journal of Hospitality and Tourism Research, Vol. 30 No. 3, pp. 378-400.

Benito, B., Solana, J. and López, P. (2014), “Determinants of Spanish regions' tourism performance: a two-stage, double-bootstrap data envelopment analysis”, Tourism Economics, Vol. 20 No. 5, pp. 987-1012.

Botti, L., Briec, W. and Cliquet, G. (2009), Plural forms versus franchise and company-owned systems: a DEA approach of hotel chain performance, Omega, Vol. 37, pp. 566-578.

Bocarnea, M. C., Dabija, D. C., & Gorgan, C. (2017). The impact of service quality on customer satisfaction and loyalty in Romanian resorts. Journal of Tourism and Hospitality Management, 5(2), 26-36. https://doi.org/10.15640/jthm.v5n2a3

Booking.com. (2020). Sustainable Travel Report 2020. Retrieved from https://www.booking.com/articles/sustainable-travel-report-2020.en-gb.html

Brida, J.G., Garrido, M., Deidda, M. and Pulina, M. (2012), Exploring the dynamics of the efficiency in the Italian hospitality sector. A regional case study, Expert System Applications, Vol. 39 No. 10, pp. 9064-9071.

Caballero, R. J. B., Ballena, R. A. F., & Estoque, C. C. (2019). A technical efficiency analysis of small- and medium-sized hotels in a developing economy. Journal of Quality Assurance in Hospitality & Tourism, 20(2), 140-161.

Chang, P.L.; Hwang, S.N.; Cheng, W.Y. Using data envelopment analysis to measure the achievement and change of regional development in Taiwan. J. Environ. Manag. 1995, 43, 49–66

Caves, D.W., Christensen, L.R. and Diewert, W.E. (1982), The economic theory of index numbers and the measurement of input, output, and productivity, Econometrica: Journal of the Econometric Society, Vol. 50 No. 6, pp. 1393-1414.

Chen et al., (2018). Efficiency Assessment of Inbound Tourist Service Using Data Envelopment Analysis. Employment and Income Growth from Sustainable Tourism https://doi.org/10.3390/su10061866.

Chen, M. (2006), Managerial ownership and firm performance: an analysis using switching simultaneous equations models, Applied Economics, Vol. 38, pp. 161-181.

Chen, C.F. (2007), Applying the stochastic frontier approach to measure hotel managerial efficiency in Taiwan, Tourism Management, Vol. 28 No. 3, pp. 696-702.

Chen, L.-F. (2019), Hotel chain affiliation as an environmental performance strategy for luxury hotels, International Journal of Hospitality Management, Vol. 77, pp. 1-6.

Chiang, W.E. (2006), A hotel performance evaluation of Taipei international tourist hotels using data envelopment analysis, Asia Pacific Journal of Tourism Research, Vol. 11 No. 1, pp. 29-42.

Chiang, W.-E., Tsai, M.-H. and Wang, L.S.-M. (2004), A DEA evaluation of Taipei hotels, Annals of Tourism Research, Vol. 31 No. 3, pp. 712-715.

Coelli, T., J. (1996), A Guide to DEAP Version 2.1: ‘A Data Envelopment Analysis (Computer) Program' Centre for Efficiency and Productivity Analysis, Department of Econometrics, Armidale, NSW, p. 2351.

Coelli, T. J. (1996). A guide to DEAP version 2.1: A data envelopment analysis (computer) program. CEPA Working Paper No. 8/96. Centre for Efficiency and Productivity Analysis, Department of Econometrics, University of New England, Armidale, NSW, Australia.

Cruz, E. D., & Sabado, J. R. F. (2022). Credit Risk and Performance Evaluation of Cooperatives in Region Xi Using Data Envelopment Analyses (DEA). European Journal of Economic and Financial Research, 6(1).

Dapeng, Z., Jinghua, T., Lingxu, Z. and Zhiyuan, Y. (2020), Higher tourism specialisation, better hotel industry efficiency?, International Journal of Hospitality Management, Vol. 87, p. 102509.

Debreu, G. (1951), The coefficient of resource utilisation, Econometrica, Vol. 19, pp. 273-292.

Deloitte. (2020). 2020 Travel and Hospitality Industry Outlook. Retrieved from https://www2.deloitte.com/global/en/pages/about-deloitte/articles/travel-hospitality-industry-outlook.html

Emrouznejad, A., & De Witte, K. (2010). Data envelopment analysis (DEA) and its applications. In Encyclopedia of Quantitative Risk Analysis and Assessment (pp. 446-454). John Wiley & Sons, Ltd.

Garcia, J. L., Yap, C. M., & Uy, M. A. V. (2020). A comparative technical efficiency analysis of Philippine eco-tourism and non-eco-tourism destinations. Journal of Cleaner Production, 242, 118405.

Guccio, C., Lisi, D., Martorana, M. and Mignosa, A. (2017), On the role of cultural participation in tourism destination performance: an assessment using robust conditional efficiency approach, Journal of Cultural Economics, Vol. 41 No. 2, pp. 129-154.

Hadley, D. (2006), Patterns in technical efficiency and technical change at the farm-level in England and Wales, 1982-2002, Journal of Agricultural Economics, Vol. 57 No. 1, pp. 81-100.

Hjalmarsson, L., Kumbhakar, S.C. and Heshmati, A. (1996), DEA, DFA and SFA: a comparison, Journal of Productivity Analysis, Vol. 7 No. 2, pp. 303-327.

Honma, S. and Hu, J.L. (2012), Analysing Japanese hotel efficiency, Tourism and Hospitality Research, Vol. 12 No. 3, pp. 155-167.

Huang, S. W., & Tsai, M. C. (2017). Technical efficiency measurement of tourist hotels in Taiwan: Evidence from Metafrontier data envelopment analysis. Asia Pacific Journal of Tourism Research, 22(5), 474-489. doi: 10.1080/10941665.2016.1278549

Hsiao, H. I., Wu, C. Y., & Chen, Y. T. (2019). Evaluating the efficiency of Taiwanese beach resorts: An application of the two-stage data envelopment analysis. Sustainability, 11(23), 6666. doi: 10.3390/su11236666

Hsieh, L. and Lin, L.H. (2010), A performance evaluation model for international tourist hotels in Taiwan—an application of the relational network DEA, International Journal of Hospitality Management, Vol. 29 No. 1, pp. 14-24.

Hwang, S.N. and Chang, T.Y. (2003), “Using data envelopment analysis to measure hotel managerial efficiency change in Taiwan”, Tourism Management, Vol. 24 No. 4, pp. 357-369.

Intapan et al., (2019). Technical Efficiency Analysis of Tourism and Logistics in ASEAN: Comparing Bootstrapping DEA and Stochastic Frontier Analysis Based Decision on Copula Approach. Springer Nature Switzerland AG 2019 V. Kreinovich and S. Sriboonchitta (Eds.): TES 2019, SCI 808, pp. 389–401, 2019. https://doi.org/10.1007/978-3-030-04263-9_30

Kao, C., & Liu, S. T. (2011). Stochastic data envelopment analysis in service operations management: A review. Journal of the Operational Research Society, 62(4), 576-588.

Koopmans, T.C. (1951), An analysis of production as an efficient combination of activities, in Koopmans, T.C. (Ed.), Activity Analysis of Production and Allocation, Cowles Commission for Research in Economics, John Wiley, New York, Monograph No. 13.

Lee, C. K., Chen, H. Y., & Lien, C. H. (2017). A novel approach for efficiency measurement of international tourist hotels. Journal of Travel Research, 56(7), 953-963. doi: 10.1177/0047287516672320

Leibenstein, H. (1966), Allocative efficiency vs. ‘X-efficiency’, The American Economic Review, Vol. 56 No. 3, pp. 392-415.

Lovell, C.K. (1993), Production frontiers and productive efficiency, The measurement of Productive Efficiency: Techniques and Applications, Vol. 3, p. 67.

Lu, L., Li, X., Li, W., & Li, J. (2020). Examining the effects of mobile applications on customer satisfaction and loyalty in Chinese resorts. Journal of Destination Marketing & Management, 15, 100381. https://doi.org/10.1016/j.jdmm.2019.100381

Maijoor, S. J., & van Witteloostuijn, A. (1996). The validity of using student samples in

strategy research: A comparative analysis. Journal of Management, 22(3), 335-349.

Maniadakis, N. and Thanassoulis, E. (2004), A cost Malmquist productivity index, European Journal of Operational Research, Vol. 154 No. 2, pp. 396-409.

Morey, R. and Dittman, D. (1995), Evaluating a hotel GM's performance: a case study in benchmarking, Cornell Hotel Restaurant and Administration Quarterly, Vol. 36, pp. 30-35.

Nanayakkara, M., & Shu, S. (2021). Examining the technical efficiency of tourist hotels in the Philippines: A stochastic frontier approach. Tourism Management, 81, 104164.

Pulina, M., Detotto, C. and Paba, A. (2010), An investigation into the relationship between size and efficiency of the Italian hospitality sector: a window DEA approach, European Journal of Operational Research, Vol. 204 No. 3, pp. 613-620.

Phocuswright. (2021). U.S. Travel Market Update 2020-2024: The Great Travel Reset. Retrieved from https://www.phocuswright.com/Travel-Research/Research-Updates/2021/U-S-Travel-Market-Update-2020-2024-The-Great-Travel-Reset

Qi, Z. and Junhai, M. (2011), Research on business efficiency of hotel and tourism enterprises based on the influence of innovation factors, Energy Procedia, Vol. 5, pp. 742-746.

ResearchAndMarkets.com. (2021). Global resorts market - growth, trends, and forecast (2021 - 2028). Retrieved from https://www.researchandmarkets.com/reports/5318025/global-resorts-market-growth-trends-and-forecast

Shirouyehzad, H.; Lotfi, F.H.; Shahin, A.; Aryanezhad, M.B.; Dabestani, R. A DEA approach for comparative analysis of service quality dimensions with a case study in hotel industry. Int. J. Serv. Oper. Manag. 2012, 12, 289–308.

Salkind, N. J. (2010). Encyclopedia of research design. Sage publications.

Sathitwiriyawong, C., Siriphanich, J., Jindal-Snape, D., & Jindal-Snape, P. (2021). The impact of service quality on customer satisfaction and loyalty in Thai resorts. Journal of Hospitality and Tourism Management, 48, 67-77. https://doi.org/10.1016/j.jhtm.2021.02.004

Solana-Ibáñez, J., Caravaca-Garratón, M. and Para-González, L. (2016), Two-stage data envelopment analysis of Spanish regions: efficiency determinants and stability analysis, Contemporary Economics, Vol. 10 No. 3, pp. 259-274.

Salazar, M. L., & Dacles, T. P. (2017). Technical efficiency of Philippine tourist hotels. Asia Pacific Journal of Tourism Research, 22(5), 529-540.

Seng, L. C., Boo, H. C., Tan, W. L., & Lin, B. (2017). A study of customers' intention to revisit and recommend Malaysian resorts. Journal of Hospitality and Tourism Management, 33, 55-62. https://doi.org/10.1016/j.jhtm.2017.08.003

Skift. (2021). The State of the Travel Industry in 2021. Retrieved from https://skift.com/2021/01/11/the-state-of-the-travel-industry-in-2021/

Tourism Bureau, Republic of China. 2015 Survey of Travel by R.O.C. Citizens. Available online: http://admin.taiwan.net.tw/upload/statistic_eng/20160810/4ba2be7b-4a36-4392-8f97-2ffa4d6e3b32.pdf

Tourism Bureau, Republic of China. 2015 Survey Report on Visitors Expenditure and Trends in Taiwan. Available online: http://admin.taiwan.net.tw/upload/statistic_eng/20160810/746f0cac-3cfe494e-8dd5-ccf8e34477ce.pdf

Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509.

Tone, K. (2004), Malmquist productivity index, Handbook on Data Envelopment Analysis, Springer, Boston, MA, pp. 203-227.

Tsaur, S.H. (2001), The operating efficiency of international tourist hotels in Taiwan, Asia Pacific Journal of Tourism Research, Vol. 6 No. 1, pp. 73-81.

Tsaur, R.C. (2011), Decision risk analysis for an interval TOPSIS method, Applied Mathematics and Computation, Vol. 218 No. 8, pp. 4295-4304.

Uy, J. G., & Gallardo, M. C. (2018). Evaluation of the hotel tourism industry in the Philippines using data envelopment analysis (DEA) with Tobit regression. Asia-Pacific Journal of Innovation in Hospitality and Tourism, 7(3), 271-284.

Varian, H.R. (2014), Intermediate Microeconomics: A Modern Approach: Ninth International Student Edition, WW Norton & Company, New York, NY.

World Travel & Tourism Council (WTTC). (2017). Economic impact research: Travel and tourism economic impact. Retrieved from https://www.wttc.org/media/files/reports/economic-impact-research/countries-2017/world2017.pdf




DOI: http://dx.doi.org/10.46827/ejmms.v8i4.1661

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