RWSN Webinars mini series 2017 · PDF filePrivate and public finance for rural water supply in...
Transcript of RWSN Webinars mini series 2017 · PDF filePrivate and public finance for rural water supply in...
Rural Water Supply Network
RWSN Webinars – mini series 2017
November 2017
Webinar 2:
“Grown up” finance for rural water?
Are the rural water poor a bankable prospect? - payment behaviours, digital data, performance models
Presented by Johanna Koehler on behalf of Water Programme Team, SSEE, University of Oxford
Private and public finance for rural water supply in Africa
= countries with rural water cost recovery policy with O&M under CBM; est. annual O&M expenditure c. USD1bn p.a.
0 10 20 30 40 50 60 70 80 90
LiberiaZimbabwe
LesothoMalawiZambia
MaliSouth AfricaMadagascar
TanzaniaNigeria
Weighted averageKenya
Burkina FasoUganda
MozambiqueGhana
BotswanaSenegal
BeninNamibia
Cape Verde
Rural households paying for water (2008-09)1
1. Waterpoints analysed include standpipes, kiosks, handpumps and protected springs. Analysis excludes waterpoints located in urban areas. Data drawn from publicly available waterpoint datasets (Virtual Kenya, 2015; National Water Sanitation and Hygiene Promotion Committee, 2014; Sierra Leone, STATWASH Portal 2014; Government of Tanzania, 2014; Government of Uganda, 2012). For additional data see Waterpoint Data Exchange http://www.waterpointdata.org/
Private and public finance for rural water supply in Africa
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Tanzania Kenya Uganda Liberia SierraLeone
Revenue collection rates1
Rural utility collection rate (piped schemes)
Standpipes/kiosks with revenue collection
Handpumps with revenue collection
8%
22%
13%
24%
10%
16%
34%
25%
43%
26%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Kenya Liberia SierraLeone
Tanzania Uganda
Rural waterpoint non-functionality rates (n=183,149)1
With revenue collection Without revenue collection
1. Waterpoints analysed include standpipes, kiosks, handpumps and protected springs. Analysis excludes waterpoints located in urban areas. Data drawn from publicly available waterpoint datasets (Virtual Kenya, 2015; National Water Sanitation and Hygiene Promotion Committee, 2014; Sierra Leone, STATWASH Portal 2014; Government of Tanzania, 2014; Government of Uganda, 2012). For additional data see Waterpoint Data Exchange http://www.waterpointdata.org/
Multi-decadal payment analysis from coastal Kenya
Refs: Foster & Hope (2016); Foster & Hope (2017); Foster (2017)
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Payment rate (% users paying) (Monthly payments, 1990-2013)
Multi-decadal payment analysis from coastal Kenya
Refs: Foster & Hope (2016); Foster & Hope (2017); Foster (2017)
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Payment rate (% users paying) (Monthly payments, 1990-2013)
Data - 229 years of financial records from 100 handpumps with >50,000 payment records Predictors of payment: • Distance to waterpoint • Water quality (pH, taste) • Productive use • Seasonality Late payment and non-payment
are prevalent Payment behaviour a ‘socio-
ecological’ response Higher revenue collection, higher
unimproved use
From analogue to digital verification - performance, planning, investment
Refs: Thomson et al. (2012); Hope et al. (2014); Foster et al. (2015) Thomson (forthcoming);
From analogue to digital verification - performance, planning, investment
Refs: Thomson et al. (2012); Hope et al. (2014); Foster et al. (2015) Thomson (forthcoming);
From analogue to digital verification - performance, planning, investment
Refs: Thomson et al. (2012); Hope et al. (2014); Foster et al. (2015) Thomson (forthcoming);
From analogue to digital verification - performance, planning, investment
Refs: Thomson et al. (2012); Hope et al. (2014); Foster et al. (2015) Thomson (forthcoming);
From analogue to digital verification - performance, planning, investment
Refs: Thomson et al. (2012); Hope et al. (2014); Foster et al. (2015) Thomson (forthcoming);
From analogue to digital verification - performance, planning, investment
Refs: Thomson et al. (2012); Hope et al. (2014); Foster et al. (2015) Thomson (forthcoming);
Project performance data from FundiFix model - KHSL (Kwale county) and Miambani Ltd. (Kitui county), Kenya
Project performance data from FundiFix model - KHSL (Kwale county) and Miambani Ltd. (Kitui county), Kenya
0%
10%
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100%
Feb15
Mär15
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Okt15
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Miambani Ltd. (Kitui) Collection efficiency
Project performance data from FundiFix model - KHSL (Kwale county) and Miambani Ltd. (Kitui county), Kenya
Project performance data from FundiFix model - KHSL (Kwale county) and Miambani Ltd. (Kitui county), Kenya
0%
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Feb15
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Miambani Ltd. (Kitui) Collection efficiency
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10%
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30%
Jan16
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Okt17
Working Ratio-Kitui Working Ratio-Kwale
Management dispute
Water Services Maintenance Trust Fund - pooling financial risk so no one is left behind
Rural Water Supply Network
RWSN Webinars – mini series 2017
November 2017