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 Ageing and poverty in africa and the role of social pensions
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Nanak Kakwani and Kalanidhi Subbarao 5 children, the disabled, chronically food insecure households, etc. , the prospects for the elderly deserve a little more attention than was possible in the Risk and Vulnerability Assessments largely because of...
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Nanak Kakwani and Kalanidhi Subbarao 5 children, the disabled, chronically food insecure households, etc. , the prospects for the elderly deserve a little more attention than was possible in the Risk and Vulnerability Assessments largely because of the changing demographics, HIV-AIDS pandemic, the pace of urbanization and the gradual emergence of nuclear families – all contributing to a gradual erosion of the traditional safety net, viz., the extended family. Given that most poor happen to be in
5 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=5 www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=5
Nanak Kakwani and Kalanidhi Subbarao 3 While categorical targeting of a pension <span class="highlight">for</span> <span class="highlight">the</span> above groups yields <span class="highlight">the</span> maximum poverty reduction impacts, and is also fiscally sustainable even <span class="highlight">in</span> low income countries, its operational feasibility is considered to be weak. Moreover, targeting a social pension <span class="highlight">for</span> such specific groups among <span class="highlight">the</span> <span class="highlight">elderly</span> is most likely to lead to adverse incentive effects and possible induced changes <span class="highlight">in</span> household types <span class="highlight">in</span> order to claim a pension. Bearing this mind, two
7 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=7 www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=7
Nanak Kakwani and Kalanidhi Subbarao 5 children, <span class="highlight">the</span> disabled, chronically food insecure households, etc. , <span class="highlight">the</span> prospects <span class="highlight">for</span> <span class="highlight">the</span> <span class="highlight">elderly</span> deserve a little more attention than was possible <span class="highlight">in</span> <span class="highlight">the</span> Risk and Vulnerability Assessments largely because of <span class="highlight">the</span> changing demographics, HIV-AIDS pandemic, <span class="highlight">the</span> pace of urbanization and <span class="highlight">the</span> gradual emergence of nuclear families &ndash; all contributing to a gradual erosion of <span class="highlight">the</span> traditional safety net, viz., <span class="highlight">the</span> extended family. Given that most poor happen to be <span class="highlight">in</span>
15 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=15 www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=15
Nanak Kakwani and Kalanidhi Subbarao 13 poverty among <span class="highlight">the</span> children is more than 5 percentage points than that of <span class="highlight">elderly</span> <span class="highlight">in</span> Madagascar, Mozambique and Nigeria. <span class="highlight">The</span> pattern remains <span class="highlight">the</span> same even when disaggregated by rural/urban location (tables not presented). <span class="highlight">The</span> above findings strongly confirm <span class="highlight">the</span> <span class="highlight">elderly</span> disadvantage especially when <span class="highlight">the</span> <span class="highlight">elderly</span> have become either principal breadwinners <span class="highlight">for</span> <span class="highlight">the</span> family, or have become caregivers <span class="highlight">for</span> children. <span class="highlight">For</span> most countries <span class="highlight">the</span> differences between <span class="highlight">the</span>
25 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=25 www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=25
Nanak Kakwani and Kalanidhi Subbarao 23 Another way to assess <span class="highlight">the</span> superiority (or lack thereof) of targeting <span class="highlight">the</span> poor <span class="highlight">elderly</span> versus all <span class="highlight">elderly</span>, and various household structures <span class="highlight">in</span> which <span class="highlight">the</span> <span class="highlight">elderly</span> are living, is to compute <span class="highlight">the</span> targeting indicator (see Appendix <span class="highlight">for</span> methodology). This is done <span class="highlight">in</span> Tables 12. If <span class="highlight">the</span> computed targeting indicator is greater than 1, then <span class="highlight">the</span> same amount of budget targeted to that group as social pension will result <span class="highlight">in</span> a greater reduction <span class="highlight">in</span> national poverty than
27 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=27 www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=27
Nanak Kakwani and Kalanidhi Subbarao 25 contributory social pensions <span class="highlight">for</span> <span class="highlight">the</span> <span class="highlight">elderly</span> from a (national) poverty reduction stand point, caution is needed <span class="highlight">in</span> selecting <span class="highlight">the</span> right targeted approach while operationalizing a social pension policy.13 TABLE14 Percentage change <span class="highlight">in</span> national headcount by targeting assistance equal to 70 % and 35% of average poverty line to poor <span class="highlight">elderly</span> Poor <span class="highlight">Elderly</span> 60 + Poor <span class="highlight">elderly</span> 65 + Country Pension = .70% of Poverty threshold Pension = .35% of Poverty
29 0 http://www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=29 www.undp-povertycentre.org/pub/IPCWorkingPaper8.pdf#page=29
Nanak Kakwani and Kalanidhi Subbarao 27 households, <span class="highlight">the</span> probability of male children attending <span class="highlight">the</span> school increases. As can be expected, <span class="highlight">in</span> urban areas <span class="highlight">the</span> elasticity is generally positive and high <span class="highlight">in</span> all countries, implying that male children <span class="highlight">in</span> urban settings are most likely to attend schools. It also implies that <span class="highlight">the</span> potential adverse impacts on schooling is nil <span class="highlight">for</span> male children living with <span class="highlight">the</span> <span class="highlight">elderly</span>. TABLE 15 Elasticity of probability of male children attending school Country Welfare