Does the Estimation Technique Matter for Efficiency Measures?: Comparative Efficiency Analysis of Public Universities with Parametric and Non-Parametric Methods

Author(s):  
Taptuk Emre Erkoc
2021 ◽  
Vol 33 (3) ◽  
pp. 1080-1104
Author(s):  
Yong Tan ◽  
Dimitris Despotis

Purpose This paper aims to investigate efficiency in the UK hotel industry and further evaluate the impacts of hotel characteristics and industry environment on efficiency. Design/methodology/approach The network data envelopment (DEA) weak link approach is used for the efficiency analysis, while the determinants of efficiency are evaluated by bootstrapped truncated regression. Findings The findings show that the UK hotel industry is very inefficient. The results of overall efficiency deconstruction show that the second-stage production process experiences an even lower level of efficiency than that of the first stage. The second-phase analysis shows that both the hotel-specific characteristics and the industry-specific characteristics are significantly related to UK hotel efficiency. Research limitations/implications The robustness of the results is affected because a single set of input-intermediate product-outputs and a single DEA method were used. Therefore, further studies can use alternate inputs, intermediate measures and outputs in the efficiency analysis. In addition, the robustness of the efficiency score can be checked using alternate parametric or non-parametric methods. Practical implications Hotels in the UK should focus on cost reduction, business diversification, improvement in the capital level and labor productivity, while at industry and macroeconomic level, discounts are recommended to be provided to international tourism and the tourism industry should be further opened. Originality/value The weak-link approach has been applied to estimate the efficiency level, as this provides more robust and accurate results compared to other non-parametric methods in the existing empirical studies and unique hotel-specific and industry-specific determinants of efficiency are considered in the second-stage analysis.


Ekonomika ◽  
2008 ◽  
Vol 84 ◽  
Author(s):  
Grazyna Wozniewska

Efficiency analysis is essential for the evaluation of banks’ performance. To estimate banks’ efficiency, we can apply different methods. Analysis of financial indicators is the most popular efficiency analysis method in banks, but the number of financial indicators can be really big and make the interpretation of the results more difficult. Another way to estimate efficiency measures is the nonparametric frontier method - Data Envelopment Analysis (DEA). This method has become increasingly popular in measuring bank efficiency in the countries with developed banking systems.The main aim of this article is to present the results of efficiency analysis, computed by means of both methods, i. e. the classical index of balance sheet characteristics and the non-parametric DEA method.The analysis was carried out in the biggest banks operating in Poland in 2000-2007. The empirical results show that the efficiency measures give a similar although not identical picture of Polish commercial banks’ performance. These results (yielded by both methods) are complementary to each other and suggest that the non-parametric DEA method is really valuable and worth applying in bank practice.The work presents also the reasons that would explain the achieved results. It also compares both methods, their potentials and limitations in applying them to banking.


2012 ◽  
Vol 23 (1) ◽  
pp. 39-47 ◽  
Author(s):  
Rita Markovits-Somogyi

Efficiency analysis of transport systems can be carried out using numerous different techniques. Experts generally distinguish them as parametric and non-parametric methods, or else as methods using a production function, an index or not using anything of this kind. Based on the literature and on own research the present paper sets up a clear systematization of these techniques giving a brief summary of their essence while also providing examples of their application in the transport sector. Having elucidated each method, the author also outlines the correlation and the reliability of the techniques and presents a novel view which stresses the importance of links between the different techniques. KEY WORDS: efficiency measurement, transport, TFP, MPI, SFA, DEA, OCRA


2018 ◽  
Vol 26 (2) ◽  
pp. 227-245
Author(s):  
Gustavo Ferro ◽  
Sonia León

Purpose Merger approving focuses on both market power and welfare gains. In general, the approval process does not include a comparative efficiency analysis. This paper aims to introduce this dimension and show its potential. Design/methodology/approach Based on the analysis of past bank mergers, the authors examine expected and actual efficiency gains. This paper measures the potential (ex ante) and ex post efficiency gains of bank mergers by using data envelopment analysis (DEA). Findings The authors find some (approved) mergers were promised and yielded efficiency gains while others did not. Research limitations/implications DEA does not allow testing statistically the significance of the presumed relationship between variables. Practical implications The authors conclude that some mergers that took place would not have been approved had an efficiency analysis been made. Social implications Regulators and/or competition authorities could approve mergers which do not increase efficiency. Originality/value To date, efficiency frontier analysis has not been performed for merger approval. It implies that the regulator or competition authority could allow mergers with no clear social gains.


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