Our research is based on the effect of fiscal policies on the Greek prefectures. Using DEA methodology we compare the efficiency of the prefectures over the last three decades. Moreover, we determine where the resources are distributed in an efficient way and /or have been used efficiently by...

The non-parametric frontier approach, Data Envelopment Analysis (DEA) is employed to investigate the efficiency of banking stocks which are traded on the Kuala Lumpur Stock Exchange (KLSE). Unlike the earlier studies which use balance sheet and income statements data, the paper uses market data...

In this paper we study the efficiency and total factor productivity growth of Italian regions by implementing a bootstrap Data Envelopment Analysis method. This approach allows us to perform a sensitivity analysis of the efficiency scores at regional level, in which human capital is included...

Tone & Tsutsui (2010) introduced a hybrid model (epsilon-based measure, EBM), which combines both radial and non-radial measures in a unified framework [Tone, K., & Tsutsui, M. (2010). An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency. European Journal of...

This paper by applying a sporting production function evaluates 229 professional tennis players’ career performance. By applying Data Envelopment Analysis (DEA) the paper produces a unified measure of nine performance indicators into a single career performance index. In addition bootstrap...

By this paper we intend to analyze the existing gap in the efficiency of R&D investment, at European level. The method employed in this respect is Data Envelopment Analysis (DEA). The evaluation of the performance in R&D in European countries, in terms of technical efficiency (TE) thus...

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...

This paper by using Data Envelopment Analysis (DEA) and statistical inference evaluates the citation performance of 229 economic journals. The paper categorizes the journals into four main categories (A to D) based on their efficiency levels. The results are then compared to the 27 “core...

This paper applies a bootstrapped Data Envelopment Analysis (DEA) formulation aiming to evaluate the financial performance of the firms operating in the Greek renewable energy sector. With the use of financial ratios in a DEA setting, efficiency ratios are constructed in order to analyse...

Data envelopment analysis (DEA) is a linear programming methodology to evaluate the relative technical efficiency for each member of a set of peer decision making units (DMUs) with multiple inputs and multiple outputs. It has been widely used to measure performance in many areas. A weakness of...