نتایج جستجو برای: manifestations of inefficiency

تعداد نتایج: 21167170  

2009
Annika Herr Hendrik Schmitz Boris Augurzky Thomas K. Bauer Wolfgang Leininger

This paper investigates cost and profit efficiency of German hospitals. More specifically, it deals with the question how hospital efficiency varies with ownership, patient structure, and other exogenous factors, which are neither inputs nor outputs of the production process. We conduct a Stochastic Frontier Analysis (SFA) on a multifaceted administrative German dataset combined with the balanc...

2009
Kent Matthews Zhiguo Xiao Xu Zhang

According to a frequently cited finding by Berger et al (1993), X-inefficiency contributes 20% to cost-inefficiency in western banks. Empirical studies of Chinese banks tend to place cost-inefficiency in the region of 50%. Such estimates would suggest that Chinese banks suffer from gross cost inefficiency. Using a nonparametric bootstrapping method, this study decomposes cost-inefficiency in Ch...

Journal: :Economics Letters 2016

Journal: :Mathematics of Operations Research 1986

2008
Kent Matthews Jianguang Guo Xu Zhang Gordon Roberts Leigh Drake

This study demarcates cost-inefficiency in Chinese banks into X-inefficiency and rent-seeking-inefficiency. A protected banking market not only encourages weak management and X-inefficiency but also public ownership and state directed lending encourages moral hazard and bureaucratic rent seeking. This paper uses bootstrap non-parametric techniques to estimate measures of X-inefficiency and rent...

Journal: :Resources Policy 2015

This paper uses data envelopment analysis (DEA) to examine the technical, pure technical, and scale efficiencies of 12 branches of the agricultural bank in Guilan province, Iran over the period of 2012-2016. The first results indicated that scale inefficiency contributed more to overall technical inefficiency than pure technical inefficiency over the studied period. Results of return to scale r...

2011
Adriana E. Chis Nick Mitchell Edith Schonberg Gary Sevitsky Patrick O'Sullivan Trevor Parsons John Murphy

Large applications often suffer from excessive memory consumption. The nature of these heaps, their scale and complex interconnections, makes it difficult to find the low hanging fruit. Techniques relying on dominance or allocation tracking fail to account for sharing, and overwhelm users with small details. More fundamentally, a programmer still needs to know whether high levels of consumption...

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