Alain MOREL Sr Water and Sanitation Specialist WSP-Africa The World Bank

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Les reformes dans le secteur de leau et de lassainissement: Lexprience de lAfrique sub-saharienne. Alain MOREL Sr Water and Sanitation Specialist WSP-Africa The World Bank. Plan. La toile de fond en Afrique Les Objectifs de Dveloppements du Millnaire Pourquoi la reforme? - PowerPoint PPT Presentation

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  • Les reformes dans le secteur de leau et de lassainissement: Lexprience de lAfrique sub-saharienne Alain MORELSr Water and Sanitation Specialist

    WSP-Africa The World Bank

    *

    PlanLa toile de fond en AfriqueLes Objectifs de Dveloppements du Millnaire Pourquoi la reforme?Le mouvement de reforme en AfriqueLes leons des annes 1990

    *

    Toile de fond: Le dfiPlus de 1/3 de la population sans accs aux services deau, et beaucoup plus sans accs lassainissementUn rythme durbanisation trs levDes infrastructures en nombre insuffisant et en mauvais tatPeu dinvestissements de la part des gouvernements (financement interne) ou des agences de dveloppement bilatrales ou multilatrales.

    *

    Toile de fond: Le revers de la mdailleDes socits de gestion de services peu performantesTechniquement Pertes en eau leves, personnel en surnombreFinancirement Taux de facturation et de recouvrement bas, tarifs inadapts et non lies aux couts de production et de distributionAutonomie de gestion et financire limiteMandat et rpartition des responsabilits peu clairs

    *

    ODMs: Le programme pour le secteur eau et assainissementRduire de moiti la proportion de population sans accs a une source deau saine et durableRduire de moiti la proportion de population sans accs a un mode dassainissement hyginique

    *

    ODMs: La dimension du problme en Afrique350 millions de plus dici 2015350 millions couverts rural villesDoubler la population couverte dici 2015

    Chart3

    175Rural 2000235

    175Urban 200040

    350Total 2000275

    175190152

    17517836

    350368188

    Served 2000

    Added 2000-2015

    Not Served

    Population (million)

    Couverture eau potable en Afrique

    Model I

    WATER AND SANITATION MILLENNIUM DEVELOPMENT GOALS FINANCING POLICY MODEL

    MDG related Investments and financing optionsAssumptions on financing policyAssumptions on MDGs

    Investments (US$ millions)Sources of financing (US$ millions)Main assumption on financing sources

    Investments in:Compliance with Water MDG:

    Water Access facilitiesOwn country resources6,547

    Urb. populations > 500,0005,992DonorsEuropean UnionGrant fundingUrban Centers > 500,000100.0%

    Urb. populations < 500,0006,200UNICEFCredit fundingUrban Centers < 500,000100.0%

    Rural areas7,637Bilaterals0KfW (new)Rural areas100.0%

    Investment in rehabilitation6,044HIPIC (water for debt swaps)HIPIC/PRSP

    Multilaterals I

    Total investment cost25,874Multilaterals II (IDA)

    Investment assumptionsAfrican economy & W&S

    Reform costsPercapita investments costs in:National economy%

    Urban centers > 500,00080GDP average growth3.50%

    Pending of financing19,327Urban centers < 500,00060Contribution.as % of GDP0.10%

    Rural areas40Contribution.as % of PE

    Total investment in water25,874Total fuentes25,874

    Total investment as % GDP0.40%Productive efficiency in W&S

    UFW:Collection efficiencyTech. Efficiency

    Other country specific assumptions II2000200120022003200420052006200720082009201020112012

    Other country specific assumptions III

    Other country specific assumptions IIII

    Other country assumptions

    13131313131313131313131313

    Model II

    WATER AND SANITATION MILLENNIUM DEVELOPMENT GOALS FINANCING POLICY MODEL

    MDG related Investments and financing optionsAssumptions on financing policyAssumptions on MDGs

    Investments (US$ millions)Sources of financing (US$ millions)Main assumption on financing sources

    Investments in:Compliance with Water MDG:

    Water Access facilitiesOwn country resources6,547

    Countries pop 500,000100.0%

    Countries 2M 500,00080GDP average growth3.50%

    Pending of financing19,327Urban centers < 500,00060Contribution.as % of GDP0.10%

    Rural areas40Contribution.as % of PE

    Total investment in water25,874Total fuentes25,874

    -0.00

    Total investment as % GDP0.40%Productive efficiency in W&S

    UFW:Collection efficiencyTech. Efficiency

    Other country specific assumptions II2000200120022003200420052006200720082009201020112012

    Other country specific assumptions III

    Other country specific assumptions IIII

    Other country assumptions

    13131313131313131313131313

    Model III

    WATER AND SANITATION MILLENNIUM DEVELOPMENT GOALS FINANCING POLICY MODEL

    MDG related Investments and financing optionsAssumptions on financing policyAssumptions on MDGs

    Investments (US$ millions)Sources of financing (US$ millions)Main assumption on financing sources

    Investments in:Compliance with Water MDG:

    Water Access facilitiesOwn country resources6,547

    Countries with advanced reform5,992DonorsEuropean UnionGrant fundingUrban Centers > 500,000100.0%

    Countries entering reform process6,200UNICEFCredit fundingUrban Centers < 500,000100.0%

    Countries not interested in RP7,637Bilaterals0KfW (new)Rural areas100.0%

    HIPIC (water for debt swaps)HIPIC/PRSP

    Multilaterals I

    Total investment cost19,829Multilaterals II (IDA)

    Investment assumptionsAfrican economy & W&S

    Investments in rehabilitation6,044Percapita investments costs in:National economy%

    Reform costsUrban centers > 500,00080GDP average growth3.50%

    Pending of financing19,327Urban centers < 500,00060Contribution.as % of GDP0.10%

    Rural areas40Contribution.as % of PE

    Total investment in water25,874Total fuentes25,874

    Total investment as % GDP0.40%Productive efficiency in W&S

    UFW:Collection efficiencyTech. Efficiency

    Sixto Requena:Not finished yet

    Sixto Requena:

    Sixto Requena:Not finished yet

    Summary

    Year 2000AnnualYear 2015AdditionalInvestments needed

    PopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Period

    millions%Millions%00 - 15Millions%MDG%accessper capita00 - 15Annual

    Big urban conglomarates8714%7587%4.2%16118%15093.1%75805,993400

    Cities < 500 th and towns12820%10178%4.0%23025%20488.8%103606,199413

    Rural areas41166%17442%1.6%51757%36570.6%191407,637509

    Total625100%35056%2.5%908100%71979.2%36919,8301,322

    Year 2000AnnualYear 2015AdditionalInvestments needed

    PopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Period

    millions%Millions%00 - 15Millions%MDG%accessper capita00 - 15Annual

    Big urban conglomarates8714%7587%4.2%16118%15093.1%75805,992399

    Cities < 500 th and towns12820%10178%4.0%23025%20488.8%103606,200413

    Rural areas41166%17442%1.6%51757%36570.6%191407,637509

    Total625100%35056%2.5%908100%00.0%36919,8291,322

    Very small countries:Cape Verde, Eq. Guinea, Djibouti, Comoros, Mauritius, G. Bissau, Gabon, and Gambia

    Year 2000AnnualYear 2015AdditionalInvestments needed

    PopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Period

    millions%Millions%00 - 15Millions%MDG%accessper capita00 - 15Annual

    Big urban conglomarates0.57%0.487%3.2%18%0.792.5%0.380242

    Cities < 500 th and towns3.041%2.276%3.3%550%4.185.7%1.9601127

    Rural areas3.752%2.670%0.6%442%3.484.7%0.840342

    Total7.1100%5.273%2.0%10100%8.285.8%3.017011

    Small countries: Botswana, Namibia, Lesotho, Mauritania, Congo, CRA, Eritrea, and Togo

    Year 2000AnnualYear 2015AdditionalInvestments needed

    PopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Period

    millions%Millions%00 - 15Millions%MDG%accessper capita00 - 15Annual

    Big urban conglomarates3.415%3.087%4.4%6.520%6.193.1%3.18024716

    Cities < 500 th and towns5.624%3.766%3.4%9.429%7.680.9%3.86023015

    Rural areas14.161%7.050%0.9%16.351%12.073.8%5.04020013

    Total23.2100%13.759%2.2%32.2100%25.779.8%11.967745

    Medium size countries: Sierra Leone, Benin, Burundi, Guinea, Chad, Rwanda, Zambia, and Senegal

    Year 2000AnnualYear 2015AdditionalInvestments needed

    PopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Period

    millions%Millions%00 - 15Millions%MDG%accessper capita00 - 15Annual

    Big urban conglomarates6.811%5.987%4.5%13.115%12.293.1%6.38050634

    Cities < 500 th and towns11.119%7.063%4.0%19.922%16.080.7%9.16054536

    Rural areas41.370%18.846%2.0%55.963%40.672.6%21.74086958

    Total59.1100%31.754%2.8%88.9100%68.877.4%37.11,920128

    Niger, Malawi, Mali, Zimbawe, Burkina Faso, Angola, Cote d'Ivoire, Cameroun

    Year 2000AnnualYear 2015AdditionalInvestments needed

    PopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Period

    millions%Millions%00 - 15Millions%MDG%accessper capita00 - 15Annual

    Big urban conglomarates12.813%11.187%4.7%25.417%23.693.1%12.58099867

    Cities < 500 th and towns20.421%15.274%3.5%34.423%29.385.2%14.16084756

    Rural areas65.866%36.055%2.1%89.560%69.277.3%33.1401,32588

    Total99.1100%62.463%2.8%149.2100%122.181.8%59.73,169211

    Madagascar, Mozambique, Ghana, Uganda, Sudan, Kenya, Tanzania South Africa

    Year 2000AnnualYear 2015AdditionalInvestments needed

    PopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Period

    millions%Millions%00 - 15Millions%MDG%accessper capita00 - 15Annual

    Big urban conglomarates32.415%28.187%3.7%55.819%52.093.1%23.9801,909127

    Cities < 500 th and towns43.020%37.086%3.9%76.526%70.892.6%33.8602,028135

    Rural areas135.664%69.151%1.0%156.854%116.974.6%47.8401,911127

    Total211.1100%134.364%2.1%289.1100%239.782.9%105.45,848390

    Republic Democratic of Congo, Ethiopia, Nigeria

    Year 2000AnnualYear 2015AdditionalInvestments needed

    PopulationAccess to safe watergrowth ratePopulationAccess to safe waterpeople withUS$Period

    millions%Millions%00 - 15Millions%MDG%accessper capita00 - 15Annual

    Big urban conglomarates30.814%26.787%4.5%59.718%55.693.1%28.9802,309154

    Cities < 500 th and towns45.020%35.479%4.3%84.825%76.189.7%40.6602,437162

    Rural areas150.066%40.427%1.8%194.757%122.963.1%82.5403,299220

    Total225.7100%102.645%2.8%339.1100%254.575.1%152.08,045536

    Water

    % people in cities < 500 th and townsCountryPopulation (000), 2000People with accessCoverage, 2000Non covered 2000Population (000) 2015With access according to MDGNon covered 2015 (MDG)Persons added during 2000-2015cities < 500 & townsInvestment required (US$ M)UrbanGNP 2000200120022003200420052006200720082009201020112012201320142015

    20002015UrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralTotalUrbanRuralUrbanRuralTotal2000201520002015Add 00-15rate of coverageAddedUrbanRuralTotalPop growthBillion

    Cape Verde68.160.6Cape Verde26616242817014431464%89%73%36%11%27%41715056734214248418%6%172-2169369,168100%43100%100%2664171510.50213487757612.20.012.23.0%0.5880.60840148320.62969553510.65173487880.67454559960.69815469560.72259010990.74788076380.77405659050.80114857120.82918877120.85821037820.88824774140.91933641230.95151318680.9848161483

    Equatorial Guinea ..............................51.750.3Eq Guinea218234452989819645%42%43%55%58%57%42526769230819049828%29%21091301368,999100%42100%100%2184252070.681622718114114.03.717.64.6%0.3630.37612095410.38928518750.4029101690.4170120250.43160744580.44671370640.46234868620.47853089020.49527947130.51261425280.53055575170.5491252030.56834458510.58823664560.6088249282

    Djibouti61.463.8Djibouti531106637531106637100%100%100%0%0%0%61092702610927020%0%79-1465368,697100%41100%100%531610790.1295081967106.10.06.10.9%0.5530.57285398590.59290387540.61365551110.6351334540.65736312480.68037083420.70418381340.72883024690.75433930550.78074118120.80806712260.83634947180.86562170340.8959184630.9272756092

    Comoros61.463.8Comoros23146469522644166798%95%96%2%5%4%4556121,0674505971,0471%3%224156380368,632100%40100%100%2314552240.497435897411115.76.221.94.6%0.2120.21973497120.22742569520.23538559450.24362409030.25215093350.26097621620.27011038370.27956424720.28934899580.29947621070.3099578780.32080640380.33203462790.34365583990.3556837943

    Mauritius61.463.8Mauritius4786801,1584786801,158100%100%100%0%0%0%6326691,3016326691,3010%0%154-11143368,252100%39100%100%4786321540.24367088613811.60.011.61.9%1.1861.22765491.27062282151.31509462031.3611229321.40876223461.45806891281.50910132471.56191987111.61658706661.67316761391.73172848041.79233897721.85507084141.91999832091.9871982621

    Guinea-Bissau61.460.6G Bissau2889251,2138450959229%55%49%71%45%51%7439841,7274797631,24236%23%396254650368,109100%38100%100%2887434550.825722244837624.110.234.36.5%0.2170916960.22468990540.2325540520.24069344390.24911771440.25783683440.26686112360.27620126290.28586830710.29587369790.30622927730.3169473020.32804045760.33952187360.35140513920.3637043191

    Gabon ................................................51.750.3Gabon9982281,22672912585473%55%70%27%45%30%1,5631951,7581,3521511,50314%23%62326649367,460100%3752%50%5167862700.461137060412547.41.048.43.0%3.9279311364.06540872584.20769803124.35496746234.50739132344.66515001984.82843027044.99742532995.17233521655.3533669495.54073479225.734660515.93537362786.14311170486.35812061456.580654836

    Gambia68.160.6Gambia4248821,30633946780780%53%62%20%47%38%7211,0611,7826498121,46110%24%310344654366,81199%36100%100%4247212970.477269224814221.913.835.73.6%0.4395792640.45496453820.47088829710.48736938750.5044273160.52208227210.54035515160.55926758190.57884194730.59910141550.6200699650.64177241380.66423444820.68748265390.71154454680.736448606

    Botswana49.245.8Botswana8158071,6228157341,549100%91%96%0%9%4%9487451,6939487111,6590%5%133-23110366,15799%35100%100%8159481330.14029535861910.30.010.31.0%5.2797711365.46456312585.65582283525.85377663446.05865881666.27071187526.49018679086.71734332856.9524503457.19578610717.44763862087.70830597257.97809668168.25733006548.54633661778.8454583993

    Namibia68.145.8Namibia5331,1931,7265337991,332100%67%77%0%33%23%9121,4012,3139121,1702,0820%17%379371750366,04799%3468%56%3635111480.41557017546129.114.843.93.6%3.5694254083.69435529733.82365773273.95748575334.09599775474.23935767614.38773519484.54130592664.7002516344.86476044125.03502705675.21125300365.39364685885.58242449885.77780935635.9800326837

    Lesotho68.145.8Lesotho6021,5512,1535901,3651,95598%88%91%2%12%9%8331,3082,1418251,2302,0541%6%235-13599365,29799%3368%56%410466570.2846108141618.50.018.52.2%1.1806766081.22200028931.26477029941.30903725991.3548535641.40227343871.45135300911.50215036441.55472562711.60914102411.66546095991.72375209351.78408341681.84652633641.91115475821.9780451747

    Mauritania61.460.6Mauritania1,5411,1282,66952445197534%40%37%66%60%63%3,0301,0764,1062,0307532,78333%30%1,5063021,808365,19899%3261%61%9461,8368900.7419141914660107.312.1119.44.6%0.9780698241.01230226781.04773284721.08440349691.12235761931.16164013591.20229754071.24437795461.2879311831.33300877441.37966408151.42795232441.47793065571.52965822871.58319626671.638608136

    Congo51.750.3Congo1,8411,1032,9441,3071881,49571%17%51%29%83%49%3,4321,2984,7302,9347593,69415%42%1,6275722,199363,39098%3152%50%9521,7267740.5545502256429121.622.9144.54.2%1.7345130241.79522097981.85805371411.92308559411.99039358992.06005736562.13215937342.20678495142.28402242472.36396320962.44670192192.53233648922.62096826632.71270215562.80764673112.9059143667

    Central African Republic ....................51.750.3CAR1,4892,1263,6151,1919782,16980%46%60%20%54%40%2,4242,4534,8772,1821,7913,97210%27%9908131,803361,19198%3052%50%7701,2194490.453978731220475.232.5107.73.3%1.0309463681.06702949091.10437552311.14302866641.18303466971.22444088311.2672963141.3116516851.3575594941.40507407631.4542516691.50515047741.55783074411.61235482011.66878723881.7271947922

    Eritrea61.463.8Eritrea7223,1293,8514551,3141,76963%42%46%37%58%54%1,4974,2245,7211,2202,9994,21919%29%7651,6852,4...

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