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Global Poverty and Child Malnutrition. Photo by Morten Svenningsen http://www.mortensvenningsen.com/. GIS 200 11 May 2009. Goal:. Use GIS to discover which parts of the world might hold clues on how to better fight child malnutrition.
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Global Poverty and Child Malnutrition Photo by Morten Svenningsen http://www.mortensvenningsen.com/ GIS 200 11 May 2009
Goal: Use GIS to discover which parts of the world might hold clues on how to better fight child malnutrition. In general, we expect that child malnutrition will correlate with poverty. But what parts of the world do much better or much worse than expected based on their poverty rate? Decision-makers: - The UN - Regional Bodies - National Governments - Local Governments - NGOs - Academia Goal provides avenue for further investigation.
Export data to R, run regression weighted by population (only for 52 countries with national-level malnutrition data) Expected relationship: M = 0.256*P+7.72 But the fit isn't very good...
Regressing Malnutrition vs Log(GDP per capita) Weighted by Population Expected relationship: CM = -16.7*log(GDP_capita)+79.1 Much better fit! per capita
Caveats: -Assumed homogeneity of national data -Poverty and GDP are both flawed measures -Time disparities in data -Difficulties in collecting accurate data -Populous nations can skew weighted regression -Assumed linear relationships -Poverty is apples-to-oranges -Does weight really measure malnutrition?
Where to Investigate? Regressing by Poverty Regressing by GDP/capita -15 Bolivia -14 Ukraine -14 Swaziland -14 Colombia -13 Venezuela -27 Zimbabwe(?) -20 Laos -17 Moldova -14 Georgia -14 Paraguay Less Malnutrition than expected: +33 Nepal +31 Pakistan +30 Maldives +29 Bangladesh +28 Cambodia +26 Maldives +23 Pakistan +22 Bangladesh +21 Cambodia +21 Nepal More malnutrition than expected: (Unweighted average across regions)
Sources Child Malnutrition shapefile and dataset: Center for International Earth Science Information Network (CIESIN), Columbia University; 2005 CIESIN, Palisades, NY, USA. Available at: http://www.ciesin.columbia.edu/povmap/ds_global.html Accessed 4 Apr 2009. Poverty dataset: CIA World Factbook Available at: https://www.cia.gov/library/publications/the-world-factbook/fields/2046.html Accessed 4 Apr 2009 GDP per Capita dataset: International Monetary Fund, World Economic Outlook Database, April 2009 Available at: http://www.imf.org/external/pubs/ft/weo/2009/01/weodata/index.aspx Accessed 2 May 2009 Population dataset: Alan Heston, Robert Summers and Bettina Aten, Penn World Table Version 6.2, Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania, September 2006. Abailable at: http://pwt.econ.upenn.edu/php_site/pwt62/pwt62_form.php Accessed 2 May 2009 List of country codes: ISO 3166 Country codes International Organization for Standardization Available at: http://www.iso.org/iso/country_codes/iso_3166_code_lists.htm Accessed 4 Apr 2009