Abstract
As an important method for efficiency evaluation, data envelopment analysis (DEA) has attracted more and more attention. Cross efficiency evaluation method, as an effective method for DEA ranking, has undergone rapid development. Three aspects of the progress in cross efficiency were summarized: its non-uniqueness, aggregation and the study of game cross efficiency. Finally, a discussion was given about what can be expected of studies on cross efficiency in the near future.
Abstract
As an important method for efficiency evaluation, data envelopment analysis (DEA) has attracted more and more attention. Cross efficiency evaluation method, as an effective method for DEA ranking, has undergone rapid development. Three aspects of the progress in cross efficiency were summarized: its non-uniqueness, aggregation and the study of game cross efficiency. Finally, a discussion was given about what can be expected of studies on cross efficiency in the near future.