Traditional data envelopment analysis (DEA) models deal with measurement of relative efficiency of decision making units (DMUs) in which multiple-inputs consumed to produce multiple-outputs. One of the drawbacks of these models is neglecting internal processes of each system, which may have intermediate products and/or independent inputs and/or outputs. In this paper some methods which are usab...

Pay-for-performance (P4P) programs are expanding their purview from quality to include efficiency, and many consider the episode of care as the appropriate unit of measurement. Two years' experience by the California P4P program, however, reveals that the requisite claims data often are incomplete or poorly coded and that even large physician groups have too few patients experiencing most types...

This paper talks about the measurement of efficiency and productivity of non-life insurance firms in India. This study is focused on twelve private non-life insurance firms and four public sector non-life insurance firms of India in the period 2008-09 to 2012-13. Data Envelopment Analysis (DEA) coupled with Malmquist productivity Index is used in measuring the efficiency as well as productivity...

study of economic efficiency is of particular significance in evaluation of the public sector of the economy. there two alternative critorias for the measurement of efficiency: namely ratio analysis, and frontier 'analysis. the first criteria takes the ratio of inputs as compared to the outputs. the second criteria, however.first attempts to stablisb the product and cost efficiency frontie...

  Because of the piecewise linear nature of the data envelopment analysis (DEA) frontier, the optimal multipliers of the DEA models may not be unique. Choosing weights from alternative optimal solutions of dual multiplier models is one of the most frequently studied subjects in the context of DEA. In this paper, the authors have been inspired by the idea of Cooper et al. (2011) to propose a li...

In the conventional data envelopment analysis (DEA) internal sub-processes of the production units are ignored. The current paper develops a network-DEA super-efficiency model to compare the performance of efficient network systems. A new ranking method is developed by aggregating the computed super-efficiency scores with a J-divergence measure. The proposed approach is then applied to evaluate...

Low-resource countries can greatly benefit from even small increases in efficiency of health service provision, supporting a strong case to measure and pursue efficiency improvement in low- and middle-income countries (LMICs). However, the knowledge base concerning efficiency measurement remains scarce for these contexts. This study shows that current estimation approaches may not be well suite...