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Data for Development Dr Dikshita Padalkar. What is Economic Development? sustained, concerned actions of policy makers and communities that promote standard.

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Presentation on theme: "Data for Development Dr Dikshita Padalkar. What is Economic Development? sustained, concerned actions of policy makers and communities that promote standard."— Presentation transcript:

1 Data for Development Dr Dikshita Padalkar

2 What is Economic Development? sustained, concerned actions of policy makers and communities that promote standard of living and economic health of a specific area. quantitative and qualitative changes in the economy.

3 Economics - the art of making choices Limited Resources & Unlimited Wants

4 Interconnected Economy

5 What gets measured gets managed

6 How is it measured? Economic Growth arises from Economic Development ? Economic Development Measures - e.g. – Development of Human Capital – Critical Infrastructure – Regional Competitiveness – Environmental Sustainability – Social Inclusion – Health – Safety – Literacy

7 Data from Statistics SA DataMeasuresFrequency Census GDP CPI PPI LFS Other Sources of Data : AMPS, SARB Useful Publications MDG, BRICS

8 Key Issues Fear of Economics Fear of Statistics Choice of Correct Indicators Monitoring of Correct Indicators Measurement & Collection of Data Interpreting the Data Implementing Policies Monitoring the Implementation

9 Key Stakeholders Different Information Needs Data Communities Government Investors Media

10 Data & Interpretation Data available tell a story For the Real picture Understand the unmeasured ends of the story

11 Rand - Dollar Short term fluctuations & long term trends Impact on different stakeholders Consider all variables, forces

12 Big Data: The Future?

13 Department based development Dept NATIONAL TREASURY Dept PROVINCIAL GOVT LIASION TRANSPORT HEALTH EDUCATION HOUSING Operational silos Dissipated impact

14 Area based development Area 1 NATIONAL TREASURY Area 2 Area 3 Area 4 (Ward or District) Funds Expenditure Funds Provincial Treasury Disbursement AREA IMPACT AREA 1 Area Mgt Forum

15 Type of institution Province Western Cape Eastern Cape Northern Cape Free State KwaZulu-Natal North West Gauteng Mpumulanga Limpopo South Africa Pre-school4,62,43,6 2,22,64,13,42,13,1 School84,392,491,386791,989,679,390,392,488,3 ABET0,30,70,50,90,41,10,5 0,6 Literacy classes0,2 0,0 0,10,0 0,1 Higher education institutes 6,42,11,95,03,23,59,12,22,04,4 FET1,71,21,73,01,72,14,31,82,22,3 Other colleges1,50,40,70,60,40,51,7 0,50,9 Other0,20,30,0 0,1 0,40,1 0,2 Subtotal (thousand) Unspecified (thousands) Total (thousand) Percentage of persons aged 5 years and older attending educational institutions by province and type of institution, 2012 Unspecified was excluded from the denominator when calculating percentages Source: General Household Survey, 2012, StatsSA

16 Problems experienced in public schools Province [% of learners] Western Cape Eastern Cape Northern Cape Free State KwaZulu-Natal North West Gauteng Mpumulanga Limpopo South Africa Lack of books3,28,13,25,57,3 4,44,111,46,6 Poor teaching2,32,02,12,3 2,4 2,51,82,2 Lack of teachers1,94,21,21,75,72,11,52,21,83,1 Facilities bad2,45,13,73,87,23,51,84,12,04,1 Fees too high4,92,21,81,13,14,24,72,51,53,1 Classes too large 6,63,22,81,97,05,25,52,62,44,7 Teachers absent2,91,51,72,0 3,92,11,61,52,0 Teachers strike1,11,70,71,00,80,70,60,11,00,9 Nature of the problems experienced at public schools per province, 2012 Source: General Household Survey, 2012, StatsSA

17 No money for fees Family commit ments Illness and disability Poor academic performance Education is useless Working at home Completed education Getting to school other Male23,90,811,120,215,710,78,00,88,8 Female26,125,69,614,47,14,63,40,48,8 RSA25,013,510,317,211,37,65,60,68,8 Western Cape Eastern Cape Northern Cape Free State KwaZulu- Natal North West Gauteng Mpuma- langa Limpopo South Africa ,677,267,674,472,570,270,778,580,273, ,676,271,271,775,572,371,773,479,974,1 Main reasons given by persons aged 7 to 18 years for not attending an educational institution, 2012 [% of learners] Percentage of persons aged 7 to 24 years who attend educational institutions by province, 2002 and 2012 [%] Source: General Household Survey, 2012, StatsSA

18 A CASE OF DATA BASED DEVELOPMENT GONE WRONG 1."Textbooks availability a problem" - Macro provincial level 2.District level - availability may be above the aggregate average 3.International social entrepreneur decides to partially fund text books supply - looking at aggregate data 4.Distribution of text books to school goers in the District - tender and service provider 5.Reality at District level - severe lack of safety on roads to schools, 6.Schools and parents have enthusiastically collected the 'free' textbooks 7.Text books supplied but school children unable to reach school

19 1.Publicly funded Text books remain underutilized at school 2.Problem of unsafe roads not addressed 3.Govt authority prepares report on text book allocation in the District 4.R 1 Million spent on the project, supplying 400,000 textbooks across 350 schools + a media launch 5.40% on text books, 30% on admin, 30% on service provider fees 6.Real impact of Govt's development funding - Diluted 7.Because in the P- P- P model - the 3rd P was missing Fall out of ‘Unwise’ Public Spending

20 ‘Area Based Forum’ - for all issues affecting the Area: 1.Flow of statistics 2.Budgeting 3.Project Planning 4.Implementation 5.Management 6.Monitoring and Review 7.Impact Analysis

21 How can we help you ? Understanding Key Economic Indicators Setup Economic Monitoring Systems Advice on Interpretation and Implementation Monitoring and Evaluation Short Course (2 Days)

22 Learn to Ride the Wave! Data

23 Thank You Dr Dikshita Padalkar 357 Che Guevara Road, Glenwood, Durban 4001 Tel:


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