English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Benchmarking has been suggested as a useful regulatory tool for water companies in both developed and developing countries, specially due to the predominance of public rms in these sectors. However, in order to be e ective, the comparisons should re ect di erences in the rms' performances, rather than capture di erences in their operating contexts. In this paper I apply a conditional data envelopment analysis (DEA) benchmarking technique that speci cally controls for this, i.e., the conditional DEA approach. As a result, I nd that conditioning on the population density in each rm's area of operation a ect the estimated e ciencies in a signi cant way. The results are consistent with previous ndings in other countries (which use di erent methodologies), and are new in the case of Peru.

Benchmarking the Efficiency of Public Water Companies in Peru: A Conditional DEA Approach