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Evaluating Water Supply Services in Japan with RAM: a Range-adjusted Measure of Inefficiency

Authors: Kazuo Aida; Jesús T. Pastor; Toshiyuki Sueyoshi; William W. Cooper;
Abstract
Abstract A range-adjusted measure (RAM) of efficiency, as recently developed in data envelopment analysis (DEA), is used to evaluate the performance of entities that supply water services in Japan. Its robustness properties are tested and pointed up for uses in improved accountability, and are further pointed up in terms of the potential for help in conducting performance and efficiency audits. The results from DEA are also joined with the Mann–Whitney rank order statistic to show how the two techniques may be jointly used in addressing issues of general policy. The Kanto Region and Kanagawa Prefecture in Japan are used for an illustration.
Related Organizations
- Miguel Hernandez University Spain
- Tokyo University of Science Japan
- Miguel Hernandez University Spain
- Tokyo University of Science Japan
- University of Tokyo Japan
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).140 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
140
Top 1%
Top 1%
Top 10%