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Money Matters
Cost estimates, budgets, aid and the water and
sanitation sector
This
Briefing Note is an analysis of the global aid
financing picture, based on 12 countries in
sub-Saharan Africa which are least likely to achieve
the MDGs: Angola, Burkina Faso, Chad, DR Congo,
Ethiopia, Kenya, Madagascar, Mozambique, Niger,
Nigeria, Tanzania and Uganda.
Compiled
by: Julie Fisher of WEDC
This Briefing Note is based on the full report by
Catarina Fonesca and Rachel Cardone (IRC)
Headline
facts
-
Existing cost estimates per capita for the
provision of water and sanitation are grossly
underestimated.
-
Cost estimates do not include the elements that
make water and sanitation services sustainable.
-
Public budgeting processes in the 12 selected
countries do not provide sufficient resources to
the water and sanitation sector to meet the MDG
targets.
-
Given per capita estimates of Gross Domestic
Product (GDP) and current growth trends, it is
unlikely that these countries will be able to
find additional resources, either through taxes
or user fees.
-
Despite the recent increase in Overseas
Development Assistance (ODA) commitments, per
capita aid to the poorest countries still does
not meet the required per capita costs.
Additional challenges of the timing of aid
payments, and the increased volatility of aid
flows, suggest that ODA processes need to change
in order for development targets to be achieved.
The Water
Sector Picture
At a
regional and country level, cost estimates are
important to help target aid and to identify where
savings might be made. However, per
capita funding estimates are grossly underestimated
because they tend to ignore capital maintenance
expenditures (renewal and replacement of assets) and
support costs such as environmental and economic
regulation, planning and capacity building.
These underestimations then lead to unrealistic
planning and insufficient funding.
Cost estimates per capita
Table 1 shows some of the cost
estimates per capita for water supply and sanitation
for the selected countries.
Table 1. Cost estimates per
capita for selected sub-Saharan countries
|
Country |
WHO estimates
of annual cost for WSS (USD per capita 2000) |
UN Millennium
Project annual estimates (USD per capita
2004) |
WSP annual
estimates (USD per capita 2002) |
|
Angola |
1.94 |
1.61 |
7.05 |
|
Burkina Faso |
1.94 |
0.98 |
6.53 |
|
Chad |
1.94 |
- |
6.35 |
|
DR Congo |
2.23 |
- |
3.34 |
|
Ethiopia |
2.23 |
- |
5.67 |
|
Kenya |
2.23 |
- |
8.08 |
|
Madagascar |
1.94 |
3.13 |
7.01 |
|
Mozambique |
2.23 |
0.18 |
7.26 |
|
Niger |
1.94 |
- |
7.36 |
|
Nigeria |
1.94 |
- |
7.90 |
|
Tanzania |
2.23 |
6.5 |
7.30 |
|
Uganda |
2.23 |
4.3 |
7.84 |
Sources: WHO, 2004;
WSP-AF, 2006; UN Millennium Project, 2005.
These
costs differ significantly when support costs are
calculated as a percentage of the initial
investment. For example, WHO include awareness
campaigns and hygiene education expenditure, but do
not include rehabilitation of existing
infrastructure. Recurrent support costs have been
estimated at between 5 and 30% of annual costs. The
UN Millennium Project includes these costs but
excludes integrated water resource management
related costs, such as hydrological monitoring
systems. Operation and maintenance costs range
between 5 and 10% of capital replacement costs. By
contrast, WSP estimates are more realistic, taking
into account low-cost technologies, rehabilitation
of infrastructure, policy formulation, sector
monitoring and regulation, although they exclude
hygiene education. An important assumption they make
is that operation and
maintenance amounts to 130% of capital cost
requirements, on top of infrastructure replacement
costs.
What costs
are left out?
-
Capital maintenance costs in rural or peri-urban
areas are often left to consumers to find.
However, identifying costs and developing
payment systems can be difficult and so capital
maintenance is abandoned, with systems falling
into disrepair, and adverse effects on users’
health, time, education and other associated
benefits.
-
On-going support to maintain existing capacity
within a community is often ignored, with high
turnover of caretaker staff and the disbandment
of water committees. Local government
involvement in projects helps communities when
systems break down, and assists in monitoring
private sector performance.
-
Support costs which are ignored include
institutional capacity building, and incentive
schemes and systems for gauging programme
effectiveness.
-
The
associated cost of technical assistance is also
largely excluded in per capita estimates.
The National Picture
Government planning and budgeting frameworks
A Poverty Reduction Strategy Paper (PRSP) is a
planning tool aimed at reducing poverty and
assisting in budget allocations. The aim is to
improve co-ordination and provide a framework for
donors and government to work together and involve a
range of stakeholders. Water and sanitation have
rarely been prioritized in PRSPs and there have not
been demonstrable increases in relevant budgets,
with the exception of Uganda. While recent PRSPs
have recognized the water and sanitation challenge,
linkages between PRSPs and budgets remain limited.
The limitations of low per capita GDP
A link has been made between low Gross Domestic
Product (GDP) per capita and the ability of a
country to invest in infrastructure and improvements
in levels of service such as household water and
sewerage connections. The Global Monitoring Report
(2005) suggests that sub-Saharan Africa will need to
double its economic growth rate in order to achieve
its poverty reduction goals. Although a high GDP
does not translate automatically into high service
coverage and vice versa, available data from the 12
countries shows that it contributes to higher
investments in the sector.

Levels of indebtedness
Many poor countries are paying higher debt
repayments than their estimated funding requirements
for water and sanitation. In 2005, US$40 billion of
debt of 18 of the poorest countries was cancelled,
on assurance of their commitment towards good
governance and poverty reduction. This should create
the opportunity for investment in physical and
social infrastructure. However, it is not clear
whether this investment will be equivalent to the
percentage of budget used to pay off debt, due to
other government liabilities, including
domestically-held debt. In Uganda, interest rates
for domestically-held debt rose by 1000% over six
years, so that domestic interest costs account for
over 8% of Uganda’s GDP. Another example is Niger,
where cancellation of debt, together with a 5%
increase in ODA, would still fail to cover the
projected costs of achieving the MDGs.
The
Development Aid Picture
Typically,
developing countries rely on ODA to support their
budgets and fund basic services. Usually, water and
sanitation assistance is provided ‘off-budget’, i.e.
directly to the implementing organizations, as there
are limited sector and public financial management
systems.
Trends in ODA in sub-Saharan Africa
Between 1994 and 2004, global ODA to fund social
infrastructure (e.g. health and education) more than
doubled, to over US$26 billion. In comparison, ODA
to the water sector was between US$2.5 to 3 billion
over the same period, with a rise of US$1 billion in
2004. Still, funding needs to increase for several
more years to meet the levels required to achieve
the MDGs. Commitments to sub-Saharan Africa have
also seen rises to US$1.36 billion in 2004, however,
this has meant only a slight increase on the 5-year
average due to lower funding levels in 2000 and 2002
(OECD CRS Database).
Amongst the
countries with the highest numbers of people without
access to water, 10 have seen considerable increases
in ODA. However, even where aid flows have been
dramatic, as in the case of Ethiopia, water sector
investments have not kept pace with these increases
or with ODA for social infrastructure. There are
exceptions, such as Nigeria and Tanzania, where
water sector increases have outpaced overall ODA
flows.
In the water and
sanitation sector, ODA tends to focus on large-scale
infrastructure. In sub- aharan Africa this figure
was US$600 million in 2004. In contrast, funding for
water resources protection, waste management,
education and training etc. was under US$20 million.
Per capita ODA and water and sanitation
requirements
Table 2 shows that the sum of ODA and budget
expenditures on a per capita basis does not meet the
WSP’s per capita cost estimates. The gap ranges from
nearly US$2 in Burkina Faso, to US$6.20 in
Madagascar.
Table 2. Per capita expenditure against cost
estimates
|
Country |
Annual budget
expenditures on WASH US$/per capita 2002 |
ODA
US$/per
capita 2003 |
WASH
expenditures + ODA
US$/per
capita |
WSP estimates
US$/per capita 2002 |
Remaining
finance gap with WSP estimates US$/per
capita |
|
Angola |
N/A |
1.79 |
|
7.05 |
|
|
Burkina Faso |
2.29 |
2.64 |
4.93 |
6.53 |
1.6 |
|
Chad |
N/A |
8.66 |
|
6.35 |
|
|
DR Congo |
N/A |
0.79 |
|
3.34 |
|
|
Ethiopia |
1.49 |
0.16 |
1.65 |
5.67 |
4.02 |
|
Kenya |
1.90 |
0.48 |
2.38 |
8.08 |
5.70 |
|
Madagascar |
0.56 |
0.26 |
0.82 |
7.01 |
6.19 |
|
Mozambique |
2.48 |
0.36 |
2.84 |
7.26 |
4.42 |
|
Niger |
1.51 |
0.64 |
2.15 |
7.36 |
5.21 |
|
Nigeria |
N/A |
0.03 |
|
7.90 |
|
|
Tanzania |
N/A |
5.20 |
|
7.30 |
|
|
Uganda |
N/A |
1.69 |
|
7.84 |
|
Sources: OECD CRS
database, 2003; World Development Indicators, 2003.
Volatility of
ODA flows
There is an
average of 8 years between an ODA funding commitment
and full disbursement or payment. This impacts on
its effectiveness at project or programme level. In
addition to this, the sporadic nature of aid flow is
a concern, as this can inhibit sustainable economic
growth. This is despite the fact that PRSPs are
meant to improve country-level policy planning and
budgeting. This increased volatility of aid is due
to the way budgets are approved, and the lack of
coordination between donor agencies, those approving
budgets and those disbursing funds (Bulir and Hamann,
2006). Harmonizing ODA commitments and their
delivery would greatly increase their impact.
Recommendations
Per capita cost
estimates could reflect capital maintenance costs
and on-going support costs of water and sanitation.
Updated
costs could be discussed and adopted at a country
level by donors and other sector stakeholders, to
feed into budgets, investment planning, and projects
to provide more reliable overall estimates.
Donor agencies
could focus on streamlining their processes to make
aid more predictable and consistent.
While the
MDGs are focused on results in developing countries,
a considerable cause for concern rests with the
budgeting and administrative processes within aid
agencies. Donors could work harder to ensure that
their recent commitments to the WASH sector are
disbursed as quickly as possible, to maximize
impact.
NGOs operating
at both a country and international level could
publish their annual commitments and expenditures,
to fill this information gap.
While the
OECD captures ODA commitments and disbursements for
governments, no similar source of information exists
for NGOs, which provide considerable funds in many
countries, particularly the poorest. Because NGOs
often work outside the scope of government, their
contributions are not captured in government
budgets.
Likewise, new
financial sources and agencies entering the water
and sanitation market could be encouraged to report
their commitments and expenditures, to allow for a
more comprehensive analysis.
Ideally,
the Development Cooperation Directorate (DAC)
database would capture the efforts of non-state
funders, such as NGOs and private foundations or
companies.
Key
References
-
Bulir, A.
and Javier Hamann, A. (2006).
Volatility of development aid: from the frying
pan into the fire?
IMF
Working Paper WP/06/65 March 2006.
http://www.imf.org/external/pubs/ft/wp/2006/wp0665.pdf
(accessed 12/12/06).
OECD CRS Database on Aid Activities.
http://www.oecd.org/dataoecd/20/29/31753872.htm
(accessed 12/12/06).
WHO,
(2004). Evaluation of the Costs and Benefits
of Water and Sanitation Improvements at the
Global Level. http://
www.who.int/water_sanitation_health/wsh0404/en/
(accessed 12/12/06).
UN
Millennium Project, (2005). Task Force on
Water and Sanitation. Health, Dignity, and
Development: What Will it Take?
http://www.unmillenniumproject.org/documents/WaterComplete-lowres.pdf
WSP-Af,
(2006). WSS costing model. World Bank,
Nairobi (unpublished).
The
World Bank, (2005). Global Monitoring Report
2005: Millennium Development Goals - from
consensus to momentum. World Bank;
Washington.
http://web.worldbank.org/WBSITE/EXTERNAL/EXTDEC/EXTGLOBALMONITOR0,,
contentMDK:20857409~pagePK:64168445~piPK:64168309~theSitePK:2185068,00.html
For
further information contact:
WELL Water,
Engineering and Development Centre (WEDC) Loughborough
University Leicestershire
LE11 3TU UK Email:
well@lboro.ac.uk Phone:
+44 (0)1509 228304 Fax:
+44 (0)1509 223970
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