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Better spatialized statistics, better policies; expanding the evidence-base through data and methods

Governments are emphasizing evidence-based policy planning and implementation; implying that there are strong dependencies on the evidence-base to ensure good policies and its implementation. Good policies and its implementation will change the welfare of the people of a country. The pressure is certainly on the suppliers of the evidence-base to meet these demands; and contribute to the country's developmental challenges and the well-being of their nation. South Africa faces serious challenges with high levels of poverty, unemployment and inequality. It is referred to as the country's triple challenge; and it must be tackled as a matter of high priority. Whilst aggregated data has always been useful indicators; it masks a lot; and the remedial actions requires knowing the details; there is need for more insight, so that policy actions can have the required impact. Spatialized policy statistics forms an important part of understanding the details; since different locations experience different challenges. It is important in tackling the country's triple challenges; since spatial disparities are historically engrained and still it stubbornly persists. In this presentation an attempt is made to understand poverty (which is a key policy statistic) spatially through the available evidence-base; expanding the commonly used definition of evidence-base to encompass both data and methods. Other examples on spatialized policy statistics will briefly be touched on. 


Start date: Thursday, 10 October 2019  |  End date: Friday, 11 October 2019

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