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This paper explores which items people living in South African informal urban settlements regard as essential for an acceptable standard of living, in the context of the high levels of service delivery protests in urban areas. Comparisons are made with people in rural former homeland areas which are shown to have similar levels of deprivation and service delivery dissatisfaction and yet have few such protests. People in informal urban areas rated infrastructure-related items higher than people in rural former homelands. It is argued that inequality and people's reference groups could help explain these attitudinal discrepancies and the locations of protests.

AbstractThe socially perceived necessities or 'consensual' approach to defining and measuring poverty is based on an assumption that it is possible to obtain a collective view from society on the necessities for an acceptable standard of living. The enforced lack of the necessities due – typically – to lack of resources can be regarded as poverty. The validity of the approach has been questioned on a number of grounds including the argument that people's socio-economic circumstances may influence what they define as a necessity. Widespread lack of material possessions and access to services could result in these items being regarded as 'less necessary', which in turn could artificially deflate the definition of poverty using this approach. Informed by the adaptive preferences literature and drawing on a nationally representative South African Socially Attitudes Survey this paper explores whether there is evidence in South Africa of an association between people's patterns of possession and their definition of items as essential. Notwithstanding the fact that possession of an item is strongly associated with people's preferences, the evidence on balance suggests that widespread lack does not undermine the validity of the approach.

This article demonstrates how benefit-dependent households can be identified at small-area levels in rural areas. Current debates about the nature & extent of rural poverty are outlined. We then explain how municipal administrative data can be mapped at different spatial levels -- Enumeration District & 500-meter grid squares. Such data at small spatial levels are potentially useful components of national indices of deprivation for the allocation of central government resources to local authorities. There remains a need for measures of poverty that can be consistently applied to urban & rural areas for the purposes of national funding allocation. 3 Tables, 4 Figures, 2 Maps, 41 References. Adapted from the source document.

This paper provides an account of the construction of a tax-benefit microsimulation model for Namibia (NAMOD) which is based on the EUROMOD platform F6.0. Previous research on social security provision in Namibia is reviewed and the current social security, personal income tax and value added tax arrangements are outlined. Various strengths and weaknesses of the Namibian Household Income and Expenditure Survey (NHIES) as an underpinning dataset for NAMOD are highlighted. In particular, the income data in the NHIES is problematic and so analysis of the impact of policies on poverty should be treated with caution. In spite of these challenges, NAMOD provides a starting point from which government can explore issues such as promoting take-up of grants or making changes to the social security system.

AbstractIndonesia is among the countries with the highest exposure to natural disasters, and risks are expected to increase due to climate change. Natural disasters and other shocks require well‐developed social protection systems that can cushion the economic consequences for those most vulnerable to these events. International stakeholders advocate for 'Adaptive Social Protection' which links social policy with strategies on disaster risk reduction and climate change adaptation. This article uses the tax‐benefit microsimulation model INDOMOD to analyse the adaptiveness of the Indonesian social protection system by simulating an income shock caused by a natural disaster and testing reforms to the existing social protection system. We find that the existing system generally performs well in lifting people out of poverty in normal times but does not sufficiently help them to prepare for and cope with shocks. This is especially the case for large households, households with more than two children, people in their 20s and 80s and individuals with a disability. The tested hypothetical reforms reduce the impact of the shock and better target those identified as needing more support but require a substantial increase in social spending.

PurposeThe paper aims to assess the effects of taxes and benefits on inequality and poverty in five African countries: Ghana, Mozambique, South Africa, Uganda and Zambia.Design/methodology/approachThe authors use newly developed micro-simulation models to analyse the distribution and composition of incomes.FindingsThe study's results suggest that income-based measures result in higher levels of poverty and inequality than consumption-based measures. The country with the most effective system in terms of reducing income inequality and poverty is South Africa; in Ghana, the tax-benefit system was found to have the smallest impact on inequality. The systems of Uganda, Mozambique and Zambia were estimated to have no poverty-reducing properties; many individuals remain largely unaffected by them as they are too poor to pay direct taxes, and benefits are very modest and narrowly targeted.Originality/valueWhile consumption data are crucial for measuring poverty, income data are becoming vital for assessing the extent to which tax-benefit policies achieve redistribution in economies where own-consumption is becoming less significant and the share of people in employment is increasing. To the best of the authors' knowledge, this is the first study where poverty and inequality are measured in both terms, for several African countries in a common framework.