Data Envelopment Analysis as a Complement to Marginal Analysis

The consideration in the present study is mainly conceptual. The objective is to show how Data Envelopment Analysis (DEA) can be used to reveal the true input-output relations in an industry. In the estimation of a production function it is assumed that all firms use the existing technology efficiently. However, in the real world the observed firms produce homogeneous outputs with differences in factor intensities and in managerial capacity. Hence, inefficiencies are hidden in the estimated production functions. In order to overcome this drawback of the parametric approach and to reveal the true nature of the input-output relations in production, given the available technology, the DEA approach is applied. In this study DEA is applied in order to select the farms that utilize efficiently the existing technology, allowing the estimation of a production function that reveals the true input-output relations in sheep-goat farming, using farm accounting data from a sample of 108 sheep-goat farms.Research Methods/ Statistical Methods,

Technical efficiency in electricity generation - the impact of smallness and isolation of island economies

Technical efficiency in electricity generation - the impact of smallness and isolation of island economie

Labour Cost Efficiency in UK and Irish Credit Institutions

This paper presents aggregated cost efficiency scores for a balanced panel of British and Irish credit institutions and relates these scores to loan loss reserves as a first step in investigating their usefulness as possible indicators of financial fragility. The efficiency scores are obtained using the two most popular methods of efficiency measurement – data envelopment analysis (DEA) and the stochastic frontiers approach.

Productivity Drivers in Japanese Seaports

This paper analyses efficiency drivers of a representative sample of Japanese seaports by means of the two-stage procedure proposed by Simar and Wilson (2007). In the first stage, the technical efficiency of seaports is estimated using several models of data envelopment analysis (DEA) that might be employed in order to establish which of them are most efficient. In the second stage, the Simar and Wilson (2007) procedure is used to bootstrap the DEA scores with a truncated bootstrapped regression to identify efficiency drivers. The policy implications of our findings are considered.Seaports; Japan; Data Envelopment Analysis; Truncated Bootstrapped Regression.

DEA Problems under Geometrical or Probability Uncertainties of Sample Data

This paper discusses the theoretical and practical aspects of new methods for solving DEA problems under real-life geometrical uncertainty and probability uncertainty of sample data. The proposed minimax approach to solve problems with geometrical uncertainty of sample data involves an implementation of linear programming or minimax optimization, whereas the problems with probability uncertainty of sample data are solved through implementing of econometric and new stochastic optimization methods, using the stochastic frontier functions estimation.DEA, Sample data uncertainty, Linear programming, Minimax optimization, Stochastic optimization, Stochastic frontier functions

Assessing the Relative Performance of U.K. University Technology Transfer Offices: Parametric and Non-Parametric Evidence

We present evidence on the relative efficiency of U.K. university technology transfer offices (TTOs) using data envelopment analysis (DEA) and stochastic frontier estimation (SFE). We find that U.K. TTOs exhibit low levels of absolute efficiency. Universities located in regions with higher levels of R&D and GDP appear to be more efficient in technology transfer, implying that there may be regional spillovers in technology transfer. Our results suggest that TTOs may need to be reconfigured into smaller units, since there may be scope for the development of regionally-based, sector focused TTOs. Consistent with qualitative evidence from U.S. TTOs (e.g., Siegel et al. (2003a, b, c)), we find that there may be a need to enhance the skills and capabilities of U.K. TTO managers and licensing professionals.

The Performance of German Water Utilities: A (Semi)-Parametric Analysis

Germany's water supply industry is characterized by a multitude of utilities and widely diverging prices, possibly resulting from structural differences beyond the control of firms' management, but also from inefficiencies. In this article we use Data Envelopment Analysis and Stochastic Frontier Analysis to determine the utilities' technical efficiency scores based on cross-sectional data from 373 public and private water utilities in 2006. We find large differences in technical efficiency scores even after accounting for significant structural variables like network density, share of groundwater usage and water losses.Water supply, technical efficiency, data envelopment analysis, stochastic frontier analysis, structural variables, bootstrapped truncated regression

STOCHASTIC FRONTIER ANALYSIS OF PRODUCTION FUNCTION AND COST FUNCTION ESTIMATION METHODS. STUDY OF EFFICIENCY AT INDUSTRY LEVEL

This paper analyses the efficiency or productivity at the level of a production unit, but also at industry level, resorting for this purpose to both parametric and non-parametric techniques. Cost function model specifications are described herein, considering that the technical inefficiency effects determine the companies to operate below the production stochastic frontier. Also, the estimations of the production frontier are rendered by means of Cobb-Douglas, C.E.S. and translog functions, evidencing that the latter is the most flexible of them. On the other hand, in many respects, C.E.S. production function is more appropriate to reality as compared to Cobb-Douglas function. At the same time, the estimation of C.E.S. function parameters is more difficult, Cobb-Douglas function being, in this respect, preferred. The last part of the paper is consecrated to the study of efficiency at industry level and to conclusions. The Input variables used within the analysis are: fixed assets, inventories, number of employees, while the Output ones are: operating revenues and net profit. As for the conclusions, the results reveal that the efficiency level for several companies is quite low. Therefore, a deeper interest should be manifested in order to increase the efficiency level in the construction industry.cost function industry, Data Envelopment Analysis, production function, stochastic frontier.

ICT Investments and Technical Efficiency in Italian Manufacturing Firms: The Productivity Paradox Revisited

From the Seventies the importance of information and communication technologies (ICTs) has been a much debated question. A lot of studies are made in order to understand if the ICTs are able to increase economic growth, firm productivity and firm efficiency. In this study both the translog and the Cobb-Douglas production function are used in order to estimate the impact of information and communication technology on technical efficiency (TE) in the Italian manufacturing firms over the period 1995-2003. Results show that ICT investments positively and significantly affect firm technical efficiency. Moreover, group, size and geographical position are able to influence positively TE. Finally, results show that older firms are in average more efficient than younger ones.ICT investment, Productivity Paradox, Stochastic Frontier, Italian manufacturing firms