3. But…. a danger zone looms
Danger zone: as basic
infrastructure is
provided, rate of
coverage growth risks
stagnating
Management /
recurrent expenditure
Sector dominates
effort and
costs
Capital expenditure
dominates
Capital maintenance exp.
dominates
25% 50% 75% 100%
(Moriarty, 2011) Coverage rates
Water services that last 29 August 2012
4. Background
• Wide acceptance that majority of community-based service
providers are unable to manage their water supply without
some form of support
– Direct support: structured support activities to service providers as well
as to users or user groups
– Indirect support creating and regulating the enabling environment for
rural water supply services provision and support to service authorities
• Yet, very little data available on the impact of direct and indirect
support and what it costs
• Literature study as well as primary data collection on costs
(Andhra Pradesh, Ghana and Mozambique) and impacts of
support (Colombia, Ghana)
Water services that last 29 August 2012
5. Arrangements for providing direct
support
Arrangement for support Some examples
agent
Direct support Burkina Faso, Ghana, Mozambique and Uganda
by local government
Local government South Africa: municipalities can contract a Support Services Agency
subcontracting a (SSA), which can be a private company or a NGO (Gibson 2010)
specialised agency
Central government •Honduras: circuit riders
or parastatal agencies •Chile, regional utilities contracted by Central Ministry
The Sistema Integrado de Saneamento Rural (SISAR) in north-eastern
Association of community- Brazil combines association of community-based service providers with
based service providers support from a state-level utility
Honduras: AHJASA
El Salvador: The Asociación Salvadoreña de Servicios de Agua (ASSA)
NGOs
offers direct support using a circuit rider model.
Water services that last 29 August 2012
6. Effectiveness of arrangements for
direct support
• Earlier research had shown that most
communities receive some support
• But, what impact does it have?
• What are the most effective arrangements?
– Ad hoc and on demand arrangements
– Structured support arrangements
Water services that last 29 August 2012
7. Impact of direct support: Ghana
100%
%of WATSANs meeting the benchmark on service provider
90%
80%
70%
60%
indicators
50% Percentage of WATSANs meeting service provider
benchmark, without monitoring support
40%
Percentage of WATSANs meeting service provider
benchmark, with monitoring support
30%
20%
10%
0%
Source; Adank et al., 2012
forthcoming
Water services that last 29 August 2012
8. Impact of direct support: Colombia
• Survey of 40 rural systems:
– 29 with structured support
– 9 with ad hoc support
– 2 had not received any support at all
• Those with structured support have significantly better performing service
providers; impact on service levels is positive but not significant
Number of systems Average performance Average score for service
score of the service level (on scale of 0-5)
provider (on scale of 0-
100)
Systems linked to post- 29 61.1 3.63
construction support model
Systems without structured 11 48.1 3.52
post-construction support
Source; Smits et al., 2012
Water services that last 29 August 2012
9. Impact of direct support: Colombia
100.0
Performance of service provider score 90.0
80.0
70.0
60.0
50.0
40.0
30.0
20.0
10.0
0.0
Programa
Aguas Secretaria
No
Sin modelo Comite de UES Rural Aguas de Cultura
support Manantiale Cafeteros
de apoyo Cali Manizales
AQUACOL Vivienda
Empresaria
s Pacora Caldas
l
Calificacion promedia en gestion tecnico-
Score in technical performance 14.7 14.7 17.2 17.1 19.0 17.7 20.2 26.9
operativa
Calificacion promedia en gestion
Score in administrative performance 18.6 20.7 20.1 19.9 19.5 25.6 21.6 30.9
administrativa
Calificacion promedia de gobernanza y
Score in organizational performance 17.4 15.0 17.7 18.3 17.8 23.7 25.2 25.6
legalidad
Source; Smits et al., 2012
Water services that last 29 August 2012
10. Impact of direct support: Colombia
90.00
• High variability within and
Performance of service provider
80.00
between support models; 70.00
not clear that one model 60.00
works better than another 50.00
• Need to look at the 40.00
underlying factors that 30.00
explain effectiveness of 20.00
10.00
models:
0.00
– degree of
0 (n=2) 1-4 (n=16) 5-8 (n=13) 9-12 (n=4) Más de 12
institutionalisation (n=5)
– frequency of support Frequency of support visits
– inter-institutional
Source; Smits et al., 2012
character of support
model
Water services that last 29 August 2012
11. Costs of direct support
• Costs of:
– Salaries of support providers
– Travel and accommodation
– Materials for training etc
– Overhead
• Difficult to collect and compile data
– Little structured capturing of such data
– No unified criteria
– Often combined with other cost categories of
operation, maintenance and replacement
Water services that last 29 August 2012
12. Comparing expenditure on direct
support in various case studies
Case ExpDS (US$/ person/ year)
Mozambique 0.0015
El Salvador 0.25
India (Andhra Pradesh) 0.32
Mali 0.34
Ghana 0.78
Honduras 0.90
Namibia 1.12-2.76 (actual)
2.59-5.49 (required)
South Africa 1.69-3.93
Chile 3.44
Brazil 3.63
Source; Smits et al., 2011
Water services that last 29 August 2012
13. Expenditure and costs of direct
support
• Annual expenditure on direct support of less than US$ 1 per
person per year reported that the relevant agencies were
unable to fulfil their mandate (Ghana, Mozambique)
• Annual expenditure of above US$ 3 per person all reported
reasonable levels of functionality (South Africa, Chile, Brazil)
• Realistic cost of support is probably a couple of US dollars per
person per year
• In countries with higher expenditure on support, this is not
provided by local government, but by dedicated agencies
• Some scope for user contributions, but largely financed
through taxes of transfers
Water services that last 29 August 2012
14. Conclusions
• Many community-based service providers demand
and access external support
– Though few in a structured way
• Little data available suggests that direct support to
service providers leads to better performing service
providers
• But doesn’t necessarily translate into better services
– Other factors at play
– Type and levels of support are in many places not
adequate
Water services that last 29 August 2012
15. Conclusions
• There is not a single type of “best” institutional
arrangement; contributing factors include:
frequency, degree of institutionalization and inter-
institutional character
• Direct support is not cheap – 2-3 US$/person/year
seems to be needed; below 1 US$/person/year too
low to have any impact
• Scope for some user contributions, but to be funded
largely through taxes and transfer
• To be part of recurrent costs so as to avoid a danger
zone
Water services that last 29 August 2012
16. Next steps
• Develop clarity of mandate for support, assessing also existing
informal arrangements
• Identify strengths and gaps of these models and possible ways
of strengthening them and/or develop new modalities for
support
• Studies on existing expenditure combined with modelling of
adequate financial resources – 2 to 3 US$ per person per
year?
• Identifying financing sources for direct support costs
Water services that last 29 August 2012
The institutional arrangements for support depend, in the first place, on the relationship between the service authorityand service provider. If the service provision arrangement is fully internal, i.e. the service is provided by a municipal department or municipal utility company, there is no clear direct support mechanism and, probably, no need for it. However, in such cases, only indirect support may be needed, for example when a utility hires an external consultant. These costs are normally included in the operational expenditure of the utility and may be passed on to the client. The other extreme is when the service provision is fully externalised, i.e. the authority has fully delegated the service provision to an independent service provider, which can be a private utility or operator, a mixed company or a CBO. 2. Most of the cases found refer to support for community-based management, which is the most common servicedelivery model in rural areas. The case from Mali contains support for private operators and the one from South Africa represents a joint management model.