The determinants of rural and urban household poverty in the North West province of South Africa

Based on standard poverty measures, the extent of poverty in the North West province is on average worse than in South Africa. For instance, the poverty gap ratio for North West is twice that of the South African average, and the FGT index is three times as high. This article therefore aims to identify the determinants of rural and urban poverty in the North West province of South Africa. Using data gathered from a survey of 593 black households across the province, probit model estimates suggest that the major significant determinants of household poverty in both rural and urban areas are education and household size. A difference between rural and urban poverty is, first, that extra female adults in a rural household raise the probability of poverty. Secondly, having a migrant (out) worker as head of the household in rural areas lowers the probability of poverty, while this does not apply to urban households. A sensitivity analysis for the robustness of the results over a range of poverty lines reveals that the impact of education is much stronger for poorer households than for more wealthy households.     

Distinguishing between individual‐and household‐level poverty

Drawing on survey data from 1995, this article shows that the level of aggregation is an important component in the analysis of poverty. Utilising the Headcount Index and cumulative distribution functions, the article examines earnings among individuals and households. Specifically, it is shown that poverty measures at the individual level, compared with estimates at the household level, will transmit differential rankings of indigence. Both are important predictors of poverty and hence should be coupled when trying to understand low earnings in a society.     

Poverty in South Africa – a statistical analysis

Poverty is one of the major challenges facing democratic South Africa. This article focuses on poverty in South Africa, using the Income and Expenditure Survey conducted in 1995 by Statistics South Africa (formerly the Central Statistical Service). In the first part, different approaches that can be followed in the measurement of poverty are discussed. In the second part, Sen's approach to the measurement of poverty and the Chi-square Automatic Interaction Detection (CHAID) technique have been used to analyse the above data. CHAID is used to explore the relationship between the poverty status of the household (ie poor or non-poor) and other household characteristics. These variables can then be used as predictors of poverty status.     

A note on poverty and gender in Spain

This article focuses on the gender distribution of poverty in Spain. Our basic objective is determining if poverty is equally shared between men and women. The source of the data is the Encuesta Básica de Presupuestos Familiares 1990–1991. Having analyzed three poverty rates—the head count ratio, the income gap ratio and the normalized income gap ratio, with three poverty lines (25%, 40%, and 50% of the mean) and two income variables (OECD equivalent household income and per capita household income)—it cannot be said that the women are “over-represented” amongst the poor in Spain in 1991.     

Poverty in Edwardian Britain

This article introduces a newly discovered household budget data set for 1904. We use these data to estimate urban poverty among working families in the British Isles. Applying Bowley's poverty line, we estimate that at least 23 per cent of people in urban working households and 18 per cent of working households had income insufficient to meet minimum needs. This is well above Rowntree's estimate of primary poverty for York in 1899 and high in the range that Bowley found in northern towns in 1912–13. The skill gradient of poverty is steep; for instance, among labourers' households, the poverty rates are close to 50 per cent. Measures of the depth of poverty are relatively low in the data, suggesting that most poor male-headed working households were close to meeting Bowley's new standard.     

Analysing post-apartheid poverty trends by geo-type, 1997–2012: The understated role of urbanisation and social grants

This article investigates poverty trends in post-apartheid South Africa with an explicit focus on differences between rural and urban areas. Using nationally representative household survey data from 1997–2012, I first describe changes in population characteristics and household access to different income sources and services, by urban–rural geo-type. Income data are then used to generate poverty statistics, which cast light on divergent trends in rural and urban areas. Next, I employ a poverty decomposition method to further explore some potential reasons why the poverty trends in rural and urban areas have differed. Data from the Afrobarometer are then used to probe how subjective non-monetary welfare has changed over time across geo-types. The evidence from all surveys suggests that the dramatic increase in access to services and social grants in rural areas has played a vital role in poverty reduction.     

Understanding urban poverty in two high-density suburbs of Harare,Zimbabwe

ABSTRACT

Urban communities are heterogeneous and averages mask inequities and deprivations among poor and rich urban communities. This article examines the situation of households residing in two low-income, high-density suburbs of Harare, Zimbabwe. The aim of the research was to contextualise urban poverty by looking at selected urban communities and vertically analysing the patterns and determinants of poverty. A household survey was administered to 1000 households and qualitative data were collected through focus group discussions and key informant interviews. The study found high levels of income poverty and also found differences in poverty experiences between the two suburbs. The major proximate determinants of poverty were large family size; low education level of the household head; lack of income from permanent employment; low cash transfers; and short length of residence in the suburb. Increasing household income consumption can be addressed through scaling-up industries, which would result in more quality employment.     

Trade Opening,Fiscal Reforms,Poverty, and Inequality: A CGE Analysis for Bangladesh

We assess the short‐ and long‐run impacts of tariff reform policies on Bangladeshi households' poverty and income distribution by developing an 86‐sector, four‐factor, and nine‐household‐group computable general equilibrium (CGE) model. The main findings are that the complete removal of tariffs leads to a decrease in overall poverty with rich household groups in a relatively better position. In the short run poverty incidence increases for rural landless, urban illiterate, and low‐educated household groups whereas rural large farmer and urban medium household groups enjoy improvements in all poverty indicators. In terms of income distribution, trade liberalization enhances inequality slightly, but there is a tendency towards more equitable distribution in the long run. The choice of a fiscal compensatory mechanism with consumption tax is likely to play a negative role in terms of poverty and inequality in the short run; however, interestingly, the results are pro‐poor in the long run.     

Increases in poverty in South Africa, 1999–2002

Analysis of the results in the 1999 October Household Survey and the 2002 Labour Force Survey suggests that the number of people in the bottom two expenditure classes (R0–R399 and R400–R799 per household per month) increased by about 4,2 million over the period. As the boundaries of these expenditure classes remained constant in nominal terms, there is a likelihood that the number of people in poverty will have increased as well. This article attempts to discover whether this is indeed the case. The possible increase in the number of people in poverty is not equal to the increase in the number of people in these two expenditure categories. Rather, it is equal to the difference between the numbers of people in poverty in the two years. Our first crude estimate of the maximum potential number of ‘new’ poor suggests that it could be as high as 4,5 million. This estimate, which excludes any adjustments for possible underreporting of expenditure, child cost economies and household economies of scale, and the ‘social wage’, is whittled down as we attempt to make the relevant allowances. Responding to claims that poverty is increasing in the country, the government has pointed to a failure to consider the contribution of the social wage to the alleviation of poverty. Accordingly, we have also attempted to estimate the impact of the social wage.     

The role of small enterprises in the household and national economy in Kenya: A significant contribution or a last resort?

Based on a nationwide survey, this article addresses the contribution of micro and small enterprises (MSEs) to employment, national income, and household income in Kenya. One-third of all working persons are employed in MSEs and the sector contributes 13% to national income. Despite their large contribution as a whole, returns to individual MSEs vary tremendously. Among those MSEs that represent the sole source of income for the household, 72% make less than the absolute poverty line in urban areas and none of the MSEs in rural areas make above the absolute poverty line. Comparing hourly MSE returns to average earnings in the private sector, the majority make below the average earnings while a minority make significantly higher earnings.     

Censored Quantile Regressions of Chronic and Transient Seasonal Poverty in Rwanda

It is crucial for social policy in Less Developed Countriesto identify correlates of poverty at the household level. Thishas been done in the literature by estimating household povertyequations typically with Tobit and Probit models. However, whenthe errors in these equations are non-normal and heteroscedastic,which is usually expected, these models deliver biased estimates.Using quarterly data from Rwanda in 1983, we reject the normalityand homoscedasticity assumptions for household chronic and transientlatent poverty equations. We treat this problem by estimatingcensored quantile regressions. Our results of censored quantileregressions and of inconsistent Tobit regressions are substantiallydifferent. However, in the case of chronic poverty the signsof the apparently significant coefficients are generally inagreement, while for seasonal transient poverty different variableshave significant effects for the two estimation methods. Oursecond contribution is to study, for the first time, correlatesof poverty indicators based on quarterly consumptions. Our resultsshow that in Rwanda different correlates are significant forchronic poverty and for transient seasonal poverty. The effectsof the main inputs (land and labour) are more important forthe chronic component of poverty than for the transient one.Household location and socio-demographic characteristics playimportant roles that are consistent with usual explanationsof poverty in the literature.     

General Equilibrium Approach for Poverty Analysis: With an Application to Cameroon

Abstract: In this paper we use a computable general equilibrium model to study the impact of a trade shock and a tariff reform on household poverty for an archetype developing country. Unlike other studies, we present the income distribution of each household group as a Beta statistical distribution. In contrast to other studies, this paper presents the poverty lines as being endogenous. With this specification, the poverty line will change following a variation in relative prices. With the new distributions and poverty line, the poverty levels of the base year are compared with the ex‐post values. Foster, Greer and Thorbecke's (1984) poverty measures are used. We work with the Cameroon household survey data of 1995–96. We consider two scenarios. The first is a 30 percent fall in the world price of the country's export crop and the second is a reduction of 50 percent in the country's import tariffs. For the first simulation, results indicate a drop in all household incomes and a decrease in the poverty line. Unilateral trade liberalization also has negative consequences on all household incomes. As in the first simulation, the poverty line decreases with a unilateral trade liberalization. In the trade liberalization simulation, the poverty line effect counters the income effect in most cases analyzed. In the other simulation, the poverty line effect attenuates the decrease in the poverty measures.     

Social capital and poverty in Uganda

This paper investigates the links between social capital and household poverty in Uganda. It assumes a two-way causal relationship between poverty and access to social capital. This suggests an endogeneity problem, so the paper uses econometric techniques that control for endogeneity. Using two nationally representative datasets, the authors' analyses revealed that access to social capital defined in terms of membership of social organisations positively affects household income and reduces poverty. Education was the key determinant of income and increases the probability of joining social networks. Their results further show that household income and welfare are positively associated with access to social capital or group participation. This suggests that government strategies to increase household income that take into consideration existing social institutions will go a long way to encourage associational growth and performance and consequently reduce poverty.     

Benefits to local communities from community conservancies in Namibia: an assessment

This article evaluates the benefits of community-based activities in wildlife conservancies in Namibia by asking three questions: Do community conservancies contribute to an increase in household welfare? Are such programmes pro-poor; that is, do they improve welfare more for poorer households than for the less poor? Does participation in conservancy increase household welfare more for participants than non-participants? This study bases the analyses on a 2002 survey covering seven conservancies and 1192 households. The results suggest that community conservancies have a positive impact on household welfare. The authors also conclude that this impact is poverty-neutral in some regions and pro-poor in others. Further, welfare benefits from conservancies appear to be fairly evenly distributed between participant and non-participant households.     

Gender, poverty and deprivation: Evidence from the Republic of Guinea

The article examines the relationship between gender and consumption poverty and between gender and deprivation in the Republic of Guinea. National household survey data reveal that women are not more likely than men to be consumption poor or to suffer greater consumption poverty. Participatory Poverty Assessment data from the village of Kamatiguia reveal that women are “worse off” than men when deprivation includes, inter alia, excessive work load and reduced decision-making authority. When consumption poverty poorly correlates with other dimensions of deprivation, it should not be the sole guide for equity-based policy intervention.     

Factors influencing the comparability of poverty estimates across household surveys

The South African existing literature on poverty mainly adopted the money-metric approach to examine poverty levels and trends since the advent of democracy. In general, poverty increased until the end of the 1990s, before a downward trend took place. Despite the robust findings on the trends, poverty levels differed because of various reasons, ranging from the use of different poverty lines across the studies, to the adoption of different approaches to collect the income and expenditure information, and the presence of a high proportion of households reporting zero or unspecified income. This article aims to fill the existing research gap by explaining the possible factors accounting for the contrasting poverty levels across the eight commonly used South African censuses and household surveys between 1993 and 2012.     

Measuring poverty with noisy and corrected estimates of annual consumption: Evidence from Nigeria

An opportunity to improve measurement and modelling of poverty in Africa arises from recent intra‐year panel surveys that observe household consumption in post‐planting and post‐harvest periods. Observing the same household twice lets an intra‐year correlation be estimated, which can be used to form a corrected estimate of annual consumption. The usual approach surveys consumption for just one short period, like a week or month, and extrapolates to an annual total. This may adequately estimate mean annual consumption for samples spread over a year but overstates dispersion. The resulting noise in consumption estimates inflates measures of poverty and inequality and creates misclassification errors that bias logit and probit models of poverty determinants. This study uses data from the 2012/2013 Nigeria General Household Survey panel to show effects on poverty measures of using annual estimates extrapolated from short‐period surveys. With the corrected extrapolation method that uses intra‐year correlations to adjust for inflated variances, Nigeria's poverty headcount rate falls by one half. Hence, much of the poverty measured in cross‐sectional surveys is transient poverty, for which different policy interventions are needed than for alleviating chronic poverty.     

Trade liberalization and income inequality: The case for Pakistan

Trade liberalization policies have been adopted by many developing countries to increase economic growth and reduce poverty. While the positive relationship between trade liberalization and economic growth is generally well accepted, the impact of trade liberalization on poverty and income inequality is still unclear. The objective of this paper is to use real data and real trade agreements of the state of Pakistan, to examine the predictions made by trade models about the impact of trade liberalization on income inequality. To illustrate, the impacts of several alternative bilateral and regional free trade agreements are simulated on household income and income inequality in Pakistan. The results show that trade liberalization does not always lead to a decline in income inequality in the short run. Trade agreements that do improve income equality, favor agriculture and often hinge on a decline in urban and non-farm household income. In the long run, changes in income equality are more positive, suggesting that efforts might best be applied towards improving the mobility of labor and capital.     

Poverty in Zambia: Levels,patterns and trends

This article presents the results of the analysis of levels, patterns and trends in the incidence of poverty in Zambia between 1991 and 1998, based on data captured in nationally representative surveys. In 1998, about 73 per cent of the households in Zambia were poor, the majority of which were extremely poor. Most poor households were in rural areas, with wide inter- and intra-provincial and district variations. The incidence of poverty also varied according to employment status and sector, as well as by district, gender, marital status, education and stratum of head of the household. In general, households headed by females, those without any formal education, unpaid family workers, the inactive, the self-employed, and those in agriculture, forestry and fishing recorded the highest incidence of poverty, with those employed in private households being affected the worst. In spite of the general increase in poverty nationally, most rural provinces registered declines while urban areas experienced increases in the incidence of poverty during the period under review. Furthermore, except for the agricultural/forestry, mining and quarrying, and electricity and gas sectors, the incidence of poverty increased in all the other sectors while remaining almost the same in the real estate sector. The direction and magnitude in the incidence of poverty between 1991 and 1998 were also associated with gender, education, employment status, employment sector, and residence of head of the household, as well as size of the household. Based on the analysis, the article strongly recommends revision in the measurement of poverty, investigation of the types of coping strategies adopted by the poor, and the extent to which these impact on the general well-being and productivity of vulnerable households in Zambia. The need for more qualitative data has also been highlighted.