<strong>of</strong> different departments <strong>an</strong>d programmes (e.g. the Free State <strong>an</strong>d Mpumal<strong>an</strong>ga).Although certain programmes, such as the EPWP <strong>of</strong> the nati<strong>on</strong>al Department <strong>of</strong> Public Works <strong>an</strong>d the IntegratedSustainable Rural Development (ISRD), Urb<strong>an</strong> Renewal Programme (URP), Local Ec<strong>on</strong>omic Development,C<strong>on</strong>solidated Municipal Infrastructure Programme (CMIP) <strong>an</strong>d Municipal Infrastructure Gr<strong>an</strong>t (MIG) <strong>of</strong> theDepartment <strong>of</strong> Provincial <strong>an</strong>d Local Government (DPLG) c<strong>on</strong>tain the majority <strong>of</strong> the poverty reducti<strong>on</strong> projectsbeing implemented for nati<strong>on</strong>al <strong>an</strong>d provincial departments, some nati<strong>on</strong>al <strong>an</strong>d provincial departments areimplementing smaller programmes <strong>on</strong> their own, such as the Department <strong>of</strong> Social Development’s Food <strong>an</strong>dEmergency Relief Programme <strong>an</strong>d the HIV <strong>an</strong>d AIDS Programme. Furthermore, provinces are implementingpoverty relief projects using their own funds that are not registered in the databases <strong>of</strong> the larger programmes<strong>an</strong>d, therefore, the necessity for the Premiers’ Offi ces to collate informati<strong>on</strong> <strong>on</strong> their poverty relief programmesat a provincial level.A complexity <strong>of</strong> these project databases is that they may be incorporated into both nati<strong>on</strong>al <strong>an</strong>d provincialdatabases resulting in records possibly being duplicated. Without a unique programme or project identifi cati<strong>on</strong>code, the ability to identify these duplicate records is limited <strong>an</strong>d c<strong>an</strong> <strong>on</strong>ly be d<strong>on</strong>e through a comparis<strong>on</strong> <strong>of</strong>project names, which is extremely diffi cult to do <strong>an</strong>d very time c<strong>on</strong>suming. There would clearly be a need fordepartments to fi nd ways <strong>on</strong> sharing informati<strong>on</strong> <strong>on</strong> their individual databases to avoid such duplicati<strong>on</strong>.What became apparent is that there is little or no st<strong>an</strong>dards for informati<strong>on</strong> provided <strong>on</strong> poverty reducti<strong>on</strong>programmes <strong>an</strong>d their projects. This c<strong>on</strong>fi rms the necessity for a system to report <strong>on</strong> a st<strong>an</strong>dardized set <strong>of</strong>poverty relief programme indicators.Clearly, this points to the need for departments to adopt better approaches (e.g. norms <strong>an</strong>d st<strong>an</strong>dards <strong>an</strong>dindicators), as suggested by Nati<strong>on</strong>al Treasury. There is also the need for a system that will allow the informati<strong>on</strong>from nati<strong>on</strong>al <strong>an</strong>d provincial departments to be easily accessed for m<strong>on</strong>itoring <strong>an</strong>d evaluati<strong>on</strong> purposes.Twenty-nine thous<strong>an</strong>d, nine hundred <strong>an</strong>d sixty-six (29 966) projects are presented in the integrated database. Infuture, c<strong>on</strong>siderati<strong>on</strong> should be given to how informati<strong>on</strong> <strong>on</strong> poverty relief programmes become “<strong>of</strong>fi cial” statisticsthat c<strong>an</strong> be incorporated into the Nati<strong>on</strong>al Statistical System (NSS) <strong>an</strong>d c<strong>on</strong>tain the necessary endorsement fromdepartments that the data provided is accurate <strong>an</strong>d complete.Statistics South Africa as custodi<strong>an</strong> <strong>of</strong> the Nati<strong>on</strong>al Statistics System could provide advice <strong>on</strong> indicators to usein the reporting <strong>on</strong> poverty reducti<strong>on</strong> programmes. The Presidency could play a facilitati<strong>on</strong> role to get thenecessary systems in place that would allow the data <strong>on</strong> poverty reducti<strong>on</strong> programmes <strong>an</strong>d projects to berecorded into a central database as is suggested in the PoA. At this stage it is recommended that the Presidencybe the custodi<strong>an</strong> <strong>of</strong> the central database.Having such a system <strong>an</strong>d comprehensive central database will allow departments to get access to the informati<strong>on</strong>they require to inform their pl<strong>an</strong>ning systems <strong>an</strong>d to undertake evaluati<strong>on</strong>s <strong>of</strong> government programmes.4.2.2 Capturing <strong>of</strong> programme <strong>an</strong>d project data received into the databaseThroughout the project, programme m<strong>an</strong>agers were requested to provide the data in a digital format. Digitalformats r<strong>an</strong>ged from documents supplied in Micros<strong>of</strong>t Word format <strong>an</strong>d as Micros<strong>of</strong>t Excel workbooks witheither <strong>on</strong>e or multiple sheets. They were also requested to provide specifi c data that could be used to populatethe database.M<strong>an</strong>y <strong>of</strong> the programmes provided a list <strong>of</strong> poverty relief projects in hardcopy format. Documents that appeared<strong>on</strong> websites were usually in a PDF format <strong>an</strong>d these were printed <strong>an</strong>d treated as hard copies, since extractingtext from PDF documents was regarded as too time-c<strong>on</strong>suming. Project team members were resp<strong>on</strong>sible for30
compiling the integrated database from the digital <strong>an</strong>d hard copies, respectively. Regular quality checks wereperformed to ensure that data capturing errors were kept to a minimum.Although care was taken during the integrati<strong>on</strong> <strong>of</strong> both hard copy <strong>an</strong>d digital sources <strong>of</strong> data, no guar<strong>an</strong>tee c<strong>an</strong>be given <strong>on</strong> quality <strong>of</strong> the data. The reas<strong>on</strong>s for this are tw<strong>of</strong>old. In the fi rst inst<strong>an</strong>ce, the signifi c<strong>an</strong>t variati<strong>on</strong>in the variables incorporated into the programme databases <strong>an</strong>d documentati<strong>on</strong> made it extremely diffi cult tointegrate. In the sec<strong>on</strong>d inst<strong>an</strong>ce, the erratic spelling <strong>of</strong> programme <strong>an</strong>d project names <strong>an</strong>d especially variablesc<strong>on</strong>taining geographic informati<strong>on</strong> (e.g. place name, local <strong>an</strong>d district municipality) has made it diffi cult to map theprojects within the time frame <strong>of</strong> this project. Having integrated the data into the database c<strong>on</strong>siderable editinghad to be d<strong>on</strong>e. However, this too was <strong>an</strong> enormous task that will require more pers<strong>on</strong> hours th<strong>an</strong> are availableto complete this project.The populati<strong>on</strong> <strong>of</strong> core data fi elds was also highly dependent <strong>on</strong> the entries supplied in digital <strong>an</strong>d hardcopyformat by the various government departments. Signifi c<strong>an</strong>t errors were discovered with data in fi elds notmatching the variable names. One example is that the project owner may be a local municipality or a provincialgovernment department. However, in the project owner fi eld the record provided does not refer to who is thesource/custodi<strong>an</strong> <strong>of</strong> the data. Thus the fi eld, ProjectMunicipality, had records that mainly c<strong>on</strong>tained municipalitynames, while <strong>an</strong>other c<strong>on</strong>tained ‘Agriculture’. These obviously inaccurate entries were edited in the database <strong>an</strong>dthe record <strong>of</strong> the project was retained.In m<strong>an</strong>y cases, the spelling <strong>of</strong> geographical place names was not the same. Furthermore, there were mismatchesbetween the data provided <strong>an</strong>d the names <strong>of</strong> the variables. For example, a village name would be entered intothe ProjectMunicipality fi eld <strong>an</strong>d in other inst<strong>an</strong>ces; there was a mixture <strong>of</strong> district <strong>an</strong>d local municipalities in thesame fi eld. Variati<strong>on</strong>s in spelling, the truncati<strong>on</strong> <strong>of</strong> names <strong>an</strong>d the complete omissi<strong>on</strong> <strong>of</strong> data from fi elds, butespecially geographical place name, has made it largely impossible to develop <strong>an</strong> integrated database <strong>of</strong> suffi cientquality. All <strong>of</strong> the above talks to the necessity <strong>of</strong> st<strong>an</strong>dards in capturing programme informati<strong>on</strong> <strong>an</strong>d the core set<strong>of</strong> variables that all programmes should collect for M&E purposes.It must also be noted that some programme databases could not be captured <strong>an</strong>d integrated into the databasebecause they were received too late in the project. Furthermore, it is <strong>an</strong>ticipated that reports <strong>on</strong> programmeswill c<strong>on</strong>tinue to be received even after the completi<strong>on</strong> <strong>of</strong> this phase <strong>of</strong> the project. Therefore, c<strong>on</strong>siderati<strong>on</strong> mustbe given as to how the electr<strong>on</strong>ic, hardcopy <strong>an</strong>d late submissi<strong>on</strong>s <strong>of</strong> programme projects c<strong>an</strong> be used for samplingin the evaluati<strong>on</strong> phase <strong>of</strong> the project. One such example is the ‘Project Analysis <str<strong>on</strong>g>Report</str<strong>on</strong>g>’, made available by theDPLG <strong>on</strong> the Integrated Sustainable Rural Development Programme (ISRDP). The report lists project linkages,stakeholders, objectives <strong>an</strong>d several projects specifi c details are provided in a Micros<strong>of</strong>t Word document. Evenif this report were received in a digital format, it would have taken several days to integrate the data into thest<strong>an</strong>dardised format <strong>of</strong> the database designed by the project team.What has been received <strong>an</strong>d been integrated into the database is summarized in the tables below. A total <strong>of</strong>29 966 projects spread across the nine provinces <strong>an</strong>d from several different programmes that are implementedat a nati<strong>on</strong>al <strong>an</strong>d provincial level have been integrated into the database. The provinces with the highest number<strong>of</strong> projects are Eastern Cape (6 781), Free State (4 606), KwaZulu-Natal (4 179) <strong>an</strong>d Limpopo (3 568). Themain reas<strong>on</strong> for the Free State having such a high number <strong>of</strong> projects is because <strong>of</strong> the work that the Offi ce <strong>of</strong>the Premier has d<strong>on</strong>e in establishing their project register. In the Eastern Cape there is quite <strong>an</strong> even spread <strong>of</strong>projects am<strong>on</strong>gst several programmes with the highest number coming from the nati<strong>on</strong>al Department <strong>of</strong> L<strong>an</strong>dAffair’s L<strong>an</strong>d Reform Programme. In most <strong>of</strong> the provinces the majority <strong>of</strong> projects captured into the databasewere from the Department <strong>of</strong> Educati<strong>on</strong>’s Nati<strong>on</strong>al School Nutriti<strong>on</strong> Programme (NSNP).31
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Northern Cape OPSC Carin Du Plessis
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EVALUATION OF GOVERNMENT’S POVERT
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EVALUATION OF GOVERNMENT’S POVERT
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Key Performance IndicatorsProjectNu
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EVALUATION OF GOVERNMENT’S POVERT
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Republic of South AfricaPublic Serv