The technical efficiency of Public Libraries in the Czech Republic

The purpose of this article is to define and evaluate the development of the aggregated technical efficiency of public libraries in the Czech Republic from 1993 to 2014. To simulate technical efficiency, the Data Envelopment Analysis Model (The BCC model) was chosen. To evaluate the production units (the unit of the Czech Republic from 1993 to 2014 and its production is given by the sum of real homogenous units, i.e. the public libraries operating in a given area and in a given time), two input variables (the recalculated number of employees and the library collection) and two output variables (the number of registered readers and the number of loans) were analysed. Two basic models were simulated – the M1 model oriented to inputs and the M2 model oriented to outputs. Correlation between the input and output variables was researched using Pearson’s coefficient. Within the range of the M1 and M2 basic models, partial models were simulated. All of the basic and partial models identically showed eight efficient periods of public libraries in the Czech Republic (1995, 1997, 1999–2000, 2002–2005). Public libraries were, according to the chosen variables, inefficient in the remaining 16 observed years

Regulation and efficiency incentives: evidence from the England and Wales water and sewerage industry

This paper evaluates the impact of the tightening in price cap by OFWAT and of other operational factors on the efficiency of water and sewerage companies in England and Wales using a mixture of data envelopment analysis and stochastic frontier analysis. Previous empirical results suggest that the regulatory system introduced at privatization was lax. The 1999 price review signaled a tightening in regulation which is shown to have led to a significant reduction in technical inefficiency. The new economic environment set by price-cap regulation acted to bring inputs closer to their cost-minimizing levels from both a technical and allocative perspective

Management characteristics, collaboration and innovative efficiency: evidence from UK survey data

This paper explores the impact of management characteristics and patterns of collaboration on a firmÕs innovation performance in transforming innovation resources into commercially successful outputs. These questions are investigated using a recent firm level survey database for 465 innovative British small and medium enterprises (SMEs) over the years 1998-2001. Both Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) are employed to benchmark a firmÕs innovative efficiency against best practice. Quality and the variety of innovations are taken into account by combining Principal Component Analysis (PCA) with DEA. We find evidence suggesting that the innovative efficiency of SMEs is significantly affected by their management characteristics and collaboration behaviour. Collaboration, organisational flexibility, formality in management systems and incentive schemes are found to contribute significantly to a firmÕs innovative efficiency. Managerial share-ownership also shows some positive effect. The importance of these effects, however, varies across different sectors. WE find that innovative efficiency in high-tech SMEs is significantly enhanced by collaboration, formal management structure and training; and that in medium- and low-tech SMEs is significantly associated with managerial ownership, incentive schemes and organisational flexibility.management characteristics, collaboration, innovative efficiency

Incorporating Both Undesirable Outputs and Uncontrollable Variables into DEA: the Performance of Chinese Coal-Fired Power Plants

There are two difficulties in doing an objective evaluation of the performance of decision-making units (DMUs). The first one is how to treat undesirable outputs jointly produced with the desirable outputs, and the second one is how to treat uncontrollable variables, which often capture the impact of the operating environment. Given difficulties in both model construction and data availability, very few published papers simultaneously consider the above two problems. This article attempts to do so by proposing six DEA-based performance evaluation models based on a research sample of the Chinese coal-fired power plants. The finding of this paper not only contributes for the performance measurement methodology, but also has policy implications for the Chinese coal-fired power sector

Comparing technical efficiency of organic and conventional coffee farms in Nepal using data envelopment analysis (DEA) approach

Data Envelopment Analysis (DEA) approach used to estimate technical efficiency and followed by regressing the technical efficiency scores to farm specific characters under tobit regression model. Primary data was collected from random samples of 240 (120 from each) coffee famers. Mean technical efficiency score was 0.89 and 0.83 in organic and conventional coffee farming respectively. Farms operating under CRS, DRS and IRS were 31.67, 3.83 and 37.5% respectively in organic coffee and 29.17, 25 and 45.83% respectively in conventional farming areas. Tobit regression showed the variation in technical efficiency was related education, farm experience and training/extension services and excess to credit.Production frontier, Resource use, Technical efficiency, Organic, Altitude, Productivity Analysis,

Return to Dollar, Generalized Distance Function and the Fisher Productivity Index

Exploring the duality between a return to dollar definition of profit and the generalized distance function we establish the relationship between the Laspeyres, Paasche and Fisher productivity indexes and their alternative Malmquist indexes counterparts. By proceeding this way, we propose a consistent decomposition of these productivity indexes into two mutually exclusive components. A technical component represented by the Malmquist index and an economical component which can be identified with the contribution that allocative criteria make to productivity change. With regard to the Fisher index, we indicate how researchers can further decompose the Malmquist technical component rendering explicit the sources of productivity change. We also show how the proposed model can be implemented by means of Data Envelopment Analysis techniques, and illustrate the empirical process with an example data set.Generalized Distance Function; Return to Dollar; Fisher and Malmquist Productivity Indexes

Efficiency and Productivity Analysis in Regulation and Governance

This paper surveys the application of efficiency and productivity analysis to recent regulatory experience, especially in Europe. From a review of regulatory case studies, particularly of network industries, it is clear that regulatory practice differs from theoretical precedent in choice of methodology, sample size, model specification and price or revenue control implementation. A principal-agent model of linear regulatory contracts is used to understand this discrepancy, suggesting that efficiency and productivity analysis has been used to capture economic rent rather than to provide incentives for efficiency. Predictions of the model are used to investigate other assumptions in efficiency and productivity analysis.regulation, data envelopment analysis, stochastic frontier analysis.

Adjusting for cultural effects on countries’ education policy efficiency:an application of conditional full frontiers measures

In this paper using Data Envelopment Analysis (DEA) we evaluate the influence of national culture on education policy efficiency for 20 OECD countries. For that reason bootstrap techniques have been employed in order to produce biased corrected efficiency scores and confidence intervals are been calculated. By using probabilistic approaches it conditions the effect of national cultural values on the obtained countries’ educational efficiencies. The empirical results indicate that the efficiency of education policy is mainly influenced from differences of individualistic and masculinity values among the countries. However the results clearly indicate that education policy reforms must be based outside those national cultural bounds in order to support national economies on their foreseen challenges.Data Envelopment Analysis; Education; Linear programming; Statistics