Cost Efficiency and the Choice of Operation Type: Evidence from Taiwan's International Tourist Hotels

2013 ◽  
Vol 18 (8) ◽  
pp. 880-893 ◽  
Author(s):  
Chiang-Ming Chen ◽  
Kuo-Liang Chang
2006 ◽  
Vol 12 (1) ◽  
pp. 65-85 ◽  
Author(s):  
Fei-Ching Wang ◽  
Wei-Ting Hung ◽  
Jui-Kou Shang

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.


2010 ◽  
Vol 29 (1) ◽  
pp. 99-107 ◽  
Author(s):  
Jin-Li Hu ◽  
Chia-Ning Chiu ◽  
Hwai-Shuh Shieh ◽  
Chia-Hui Huang

2020 ◽  
Vol 54 (6) ◽  
pp. 1775-1791
Author(s):  
Nazila Aghayi ◽  
Samira Salehpour

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.


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