|
|
|
|
| LEADER |
01961nmm a2200253 u 4500 |
| 001 |
EB002109900 |
| 003 |
EBX01000000000000001249990 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
221013 ||| eng |
| 100 |
1 |
|
|a Andres, Luis
|
| 245 |
0 |
0 |
|a Estimating the Magnitude of Water Supply and Sanitation Subsidies
|h Elektronische Ressource
|c Luis Andres
|
| 260 |
|
|
|a Washington, D.C
|b The World Bank
|c 2020
|
| 300 |
|
|
|a 29 pages
|
| 700 |
1 |
|
|a Joseph, George
|
| 700 |
1 |
|
|a Sember, German
|
| 700 |
1 |
|
|a Espineira, Gonzalo
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b WOBA
|a World Bank E-Library Archive
|
| 490 |
0 |
|
|a World Bank E-Library Archive
|
| 028 |
5 |
0 |
|a 10.1596/1813-9450-9448
|
| 856 |
4 |
0 |
|u http://elibrary.worldbank.org/doi/book/10.1596/1813-9450-9448
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 330
|
| 520 |
|
|
|a The water supply and sanitation sector remains heavily subsidized around the world. Yet, the accounting of water supply and sanitation subsidies globally has proved challenging due to utility-level data limitations and their often implicit nature. This paper develops a methodology to estimate water supply and sanitation subsidies that is adaptable to data scarce environments, while accounting for differences among service providers such as population served (to account for economies of scale), coverage of water and sanitation services individually, and their level of operational efficiency in terms of water losses and staffing. This methodology is based on Chile's empresa modelo (model firm) approach to cost-reflective tariff estimation and uses utility-level data from the World Bank'sInternational Benchmarking Network for Water and Sanitation Utilities database. The results suggest that the cost of subsidies associated with the operations, maintenance, and major repair and replacement of existing water supply and sanitation infrastructure in much of the world (excluding, notably, China and India) is an estimated
|