Abstract
This study proposes super efficiency (SE) as an efficient analytical method for evaluating the performance of energy research projects. Because the SE method is based on data envelopment analysis (DEA), it is free from the difficulty of weighting output, allows for the use of variables with diverse standards of measurement, and is capable of providing ranking information that regular DEA (CCR, BCC) analysis techniques cannot. To analyze the feasibility of the DEA-SE method, an efficiency evaluation was performed for energy research projects using both the weighting method as an existing method and the SE method. When the results were compared and analyzed, skewing toward particular output types was observed in the weighting method, owing to problems inherent in the method itself and in the weighting of subordinate variables that make up the total performance score. Therefore, adopting DEA-SE will redress the known problems of the weighting method by minimizing the problems of weighting and skewing in outputs, enabling use of the input and output variables with diverse units and standards of measurement, and providing ranking information of research performance evaluation that is unobtainable with the existing DEA method.
Highlights
The concept of efficiency, defined as input for output, forms the basis of such performance evaluations
A total of 874 data were used in the regression analysis for the data envelopment analysis (DEA)-super efficiency (SE) method
The performance evaluation method currently used by the weighting method was used to rank the performance of 27 research projects of energy materials division in 2007
Summary
The concept of efficiency, defined as input for output, forms the basis of such performance evaluations. Evaluating the performance between input and output in energy research projects is important in that the results are used to evaluate the efficiency of the organization and its constituent units, which in turn enables the optimal distribution of resources. There are many pitfalls to evaluating the performance of projects or the organizations carrying out such projects. One of these is the issue of variety. In research, both input and output take diverse forms, resulting in the need to select a performance evaluation method that is the most conducive to the development of the organization
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