This study employs data envelopment analysis (DEA) to evaluate the relative cost efficiency of 49 international tourist hotels in Taiwan. The study uses five different measures: overall efficiency (OE), allocative efficiency (AE), technical efficiency (TE), scale efficiency (SE) and pure technical efficiency (PTE). Applying efficiency measures derived from the DEA estimation, hotel efficiency determinants are evaluated using the Tobit regression model. A bootstrapping technique is applied to overcome the interdependency problem of the DEA efficiency scores adopted in the regression analysis. The empirical results demonstrate that the international tourist hotel industry in Taiwan is inefficient, with most efficiency losses attributable to technical inefficiencies, of which scale inefficiencies are the primary cause – the scale of operations of international tourist hotels in Taiwan being too small to enable the cost-savings associated with larger-scale operations. The Tobit regression results indicate that the proportion of foreign individual travellers (FIT), online transaction function (WEB) and franchising (HOTELTYPE) are related to a better performance of international tourist hotels in Taiwan. The number of years a hotel has been operating (AGE) is not significantly related to any of the efficiency measures.
This current study is the first to apply Stochastic Data Envelopment Analysis (SDEA) approach to assess the efficiency of hotels. The determinants of hotel efficiency were also investigated employing the Tobit regression model approach. The SDEA results show that the SDEA efficiency measures are higher than the deterministic ones and the greater the stochastic variability of outputs, the closer the envelope moves successively to any given observation and the efficiency score approaches one. The optimal solution to SDEA involves the presence of some buffer (slack) of all outputs. In applications involving practice production situation, such buffer (slack) can be interpreted as the firms' need to hold inventory, excess capacity and organizational slack against stochastic uncertainty of market environment. Our results also indicate that resort hotels achieve better efficiency than those in metropolitan areas and operating as part of a chain is not the main determinant of the efficiency of international tourist hotels in Taiwan.
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