Food away from home in Beijing: Effects of wealth,time and “free” meals

Based on a modified Becker household consumption and production model and newly surveyed data set collected by the authors, this study investigated household expenditure on food away from home (FAFH) and its determinants in Beijing, China. A Box–Cox double-hurdle regression is estimated. The key findings suggest that household expenditure on dining out might be significantly underestimated when using the data most commonly used in food consumption research in China. Excluding hosted meals that are not paid for by individual consumers comprises nearly one half of the underestimation. Meanwhile, this exclusion could bias estimates of income effects on the demand for food away from home.     

Agricultural growth multipliers for two communal areas of KwaZulu-Natal

Expenditure data were collected from 99 households in two rural areas of KwaZulu-Natal. District and wealth group expenditure analyses suggest a less-than-proportional increase in the demand for tradable farm commodities, and a more-than-proportional increase in the demand for non-tradable farm commodities following a 1 per cent increase in household expenditure. Expenditure on non-farm tradables (imported consumer durables) showed the greatest potential for demand growth, with expenditure elasticities ranging from 1,75 to 2,59. An increase of R1,00 in household income is predicted to add an additional 28 cents (multiplier of 1,28) to the local economy. The study estimates relatively weak growth linkages. However, even relatively weak growth linkages could lead to much needed new income and employment opportunities in the local farm and non-farm sectors if the constraints limiting agriculture, and hence broad-based growth in rural incomes, are alleviated. Agriculture-led growth in South Africa requires public investment in both physical and institutional infrastructure to reduce transaction costs and risks in all markets, thus encouraging greater participation by local entrepreneurs and private sector investors. In addition, the roles, functions and services offered by extension agents should be extended to promote collective marketing, facilitate land rental contracts and provide training, technical and business support for farm and non-farm entrepreneurs.     

Household satisfaction: Past,present and future perspectives

In the past two decades South African quality of life has been measured at the individual level in nationwide surveys and studies of special groups using happiness and satisfaction measures. In 1993 the Southern Africa Labour and Development Research Unit (Saldru) pioneered a satisfaction measure to capture subjective well‐being at the household level for the Project for Statistics on Living Standards and Development (PSLSD). The article assesses the usefulness of the new indicator by comparing present household satisfaction with individual‐level satisfaction trends and with PSLSD measures of past and projected future satisfaction and household income and expenditure. It is concluded that the household satisfaction measure is a useful social indicator in that it yields consistent and readily interpretable results and is sensitive to income and expenditure differentials. In confirmation of findings from a recent cross‐national study, the higher income households in the Saldru study reported higher levels of perceived well‐being.     

Impacts of the COVID-19 crisis on single-person households in South Korea

Using nationally representative income and expenditure data from South Korea, we show that single-person households suffered a much greater decrease in household income and expenditure compared to multi-persons households during the COVID-19 pandemic in 2020. Negative effects on income were largest for the single-person households in ages 50—64, mostly driven by decreases in earned income rather than business income. There was no corresponding decrease in consumption expenditures, however, other than on transportation expenditure for young men. Notably, there were significant decreases in non-consumption expenditures that are related to formal and informal consumption-smoothing mechanisms, such as spending on insurances, pensions, and household transfers. Our findings highlight the disproportionately negative effects of the COVID-19 pandemic on the middle-aged single-person households. With reduced spending on consumption-smoothing mechanisms, this group is likely to be even more vulnerable to negative income shocks in the future.     

Who are the heads of household,what do they do,and is the concept of headship useful? An analysis of headship in South Africa

In most household surveys, headship is not defined by objective criteria but is self-identified by respondents. The first part of this article examines whether self-reported heads in South Africa are those household members in whom more control over decision-making is vested. Although the head is typically found to be the oldest household member, there is also a strong relationship between headship and the highest income-earner in the household. Furthermore, heads have final say over decisions even when they do not earn the most income. This is the case particularly in households headed by women. The second part of the article evaluates whether the gender of the head provides a useful marker for distinguishing between household types and their access to resources. Female- and male-headed households are not homogeneous groupings, and male-headed households are not equally advantaged. However, female-headed households in South Africa on average contain fewer income-earners, whose income is also lower, than male-headed households. Overall, therefore, households headed by women are considerably more likely to be economically vulnerable.     

Re-estimating gender differences in income in South Africa: The implications of equivalence scales

Most studies of poverty and inequality in South Africa measure individual welfare by deflating total household resources, such as income, by household size. This per-capita method makes no adjustments for the different consumption needs of children or for household economies of scale. However, in addition to being more likely to live in households where average per-capita household income is lower compared with men, we show that women in South Africa also live in significantly larger households which include more children. These gendered differences in household composition are driven to a large degree by low rates of co-residency between men and women. We therefore investigate how adjusting household resources for the presence of children and economies of scale affects measures of the gender gap in income.     

Food poverty,hunger and household production in rural Eastern Cape households

More than two decades since the advent of democracy in South Africa, the place of small-scale agriculture in rural development, poverty alleviation and food security remains ambiguous and highly contested. However, there is now some new evidence that official income poverty estimates in South Africa may be underestimating the contribution of rural, land-based livelihoods when measuring household well-being. This paper aims to explore this possibility further by identifying how household production activities are associated with improved food security among rural Eastern Cape households in the former homelands. The analysis is based on data from Statistics South Africa’s 2008/9 Living Conditions Survey and its annual General Household Surveys. In adopting a food poverty lens, the findings suggest that hunger levels are lower among farming households in the Eastern Cape even though a higher percentage of these households (relative to non-farming households) live below the national food poverty line. The paper concludes by discussing some implications for policy.     

DEMAND FOR MONEY AND EXPENDITURE COMPONENTS IN SOUTH AFRICA: ASSESSMENT FROM UNRESTRICTED ERROR-CORRECTION MODELS

The main aim of this study is to examine empirically the long‐run relationship of money demand and its determinants in South Africa. In contrast with existing studies on the subject, the present study considers various components of real income as determinants. The disaggregated components are final consumption expenditure, expenditure on investment goods and exports. The other determinants are domestic interest rate, yield on government bonds and the exchange rate. The results confirm that the different components of real income have different impacts on the demand for money in South Africa. The presence of long‐run equilibrium relationships between the demand for real M1, M2 and M3 and their determinants is confirmed based on the results of bounds testing.     

Integration into the South African core economy: household‐level covariates

In this analysis of household survey data, households' main income sources are used as indicators of integration into the South African core economy. The allocation of main income sources is studied as the outcome of households' demographic composition, geographic location and earners' characteristics. The emerging picture of household income generation is one that disputes the common perception of African households as raising their incomes from a multitude of sources. The majority of surveyed households rely to a large extent on a single source of income and a single income earner. Separate multinomial logit models are estimated for urban and non‐urban households where, in addition to the considerable association with non‐urban residence, prominent earner covariates of low‐integration income sources are female gender, old or young working age, and low levels of education. Both provincial location and within‐provincial, subregional locations display strong impacts. The study also finds associations between main income sources and households' demographic compositions that are compatible with findings both in studies on private transfer behaviour and in the growing literature on endogenous household formation in South Africa.     

Financial instruments of the poor: initial findings from the South African Financial Diaries study

A new data set called the South African Financial Diaries has been produced, based on a sample of 166 households, drawn from three different areas in South Africa – Langa, Lugangeni and Diepsloot. The selected households represent a range of dwelling types and wealth categories. A unique methodology was used to create a year-long daily data set of every income, expense and financial transaction used by every one of these households. Within this sample, households used, on average, 17 different financial instruments over the course of the study year. A composite household portfolio, based on all 166 households, would have an average of four savings instruments, two insurance instruments and 11 credit instruments. The same composite household portfolio would have about 30 per cent formal instruments and 70 per cent informal instruments. Interestingly, it was found that rural households use as many financial instruments as urban ones.     

Income and Price Elasticities of Demand in South Africa: An Application of the Linear Expenditure System

This paper investigates the expenditure patterns of South African households using detailed cross‐sectional expenditure and price data that varies across region and time. Linear expenditure system parameter estimates are used to calculate income and price elasticities for a number of product categories at different points of the income distribution. We find substantial variation in the price and income elasticities of demand for items across the income distribution, with the bottom quartile being extremely sensitive to increases in the price of food and clothing items, and the top quartile being as sensitive as households in developed countries.     

The Invisible Hand of Rain in Spending: Effect of Rainfall‐Driven Agricultural Income on Per Capita Expenditure in Ghana

This paper uses a nationally representative household pseudo‐panel dataset for Ghana, a rain‐fed agriculture economy, to investigate whether there is a positive relationship between rainfall‐driven agricultural income and household per capita expenditure. By using the Two Stage Least Squares Instrumental Variable (2SLS‐IV) estimator, it is found that a fall in rainfall‐driven agricultural income leads to a decrease in per capita expenditure. The results show that the gender and the locality of the household head matter in the response of per capita expenditures to rainfall‐driven agricultural income. Female‐headed and rural households are more vulnerable to rainfall‐driven agricultural income changes. The expenditure disaggregation indicates that female‐headed households significantly reduce per capita non‐food expenditure in times of rainfall‐induced agricultural income decrease whilst the response of male‐headed households focuses more on reducing per capita food and remittance expenditures.     

Wives’ Value of Time and Food Consumed Away from Home in Taiwan*

In the present paper, we examine the relationship between wives’ value of time and expenditures on food away from home (FAFH) in Taiwan between 1983 and 2000. An endogenous switching regression model is used to model the household's consumption decision on FAFH. The empirical results show that wives’ value of time, household income, presence of young children and grandparents, and wives’ educational attainment are important factors for both participation in consuming and amount spent on FAFH. The income elasticities of FAFH have increased from 0.09 to 0.17 over the sample period. Moreover, other things being equal, the level of spending on FAFH has also increased over time. The results suggest that there has been a structural change in the consumption pattern of FAFH by families in Taiwan.     

Estimation and Determinants of the Philippines' Household Carbon Footprint

Estimation of a household carbon footprint in developed countries is abundant in the literature but there are few studies from developing countries. This paper presents an estimation of household carbon emission from the consumption of various goods and services in the Philippines. We estimate household emissions by combining input–output analysis with household expenditure for 2000 and 2006. After controlling for household characteristics, the analyses reveal that income has a significant nonlinear relationship with emissions, depicting an inverted U‐shaped with a turning point beyond the current income distribution. Unless consumption patterns change, it is likely that there will be further increases in emissions as households become more affluent.     

Personal savings,ethnicity and redistribution

The effects on personal savings of measures to equalise incomes are prominent in current policy debates. Both supporters and opponents of redistributive measures adopt the Keynesian position that greater income equality will itself reduce savings. However, not only income level affects household savings. Different ethnic groups have very different savings behaviour: surveys suggest that black households in the larger urban areas have a higher savings function than white households and a higher marginal propensity to save. Equalising incomes in South Africa implies shifting income to black households from white ones. In these circumstances redistributive measures could actually increase savings. These findings do not, however, point to specific measures to achieve that end or indicate how redistributive measures themselves could shift the savings functions of the various ethnic groups. Nor do they ensure that higher personal savings will translate efficiently into higher investment.     

Gendered trends in poverty in the post-apartheid period, 1997–2006

This study investigates whether trends in the extent and depth of poverty in South Africa over the past decade have been gendered. We examine whether females are more likely to live in poor households than males and whether this has changed over time, and how poverty has changed for female-headed and male-headed households. We use data from the 1997 and 1999 October Household Surveys and the 2004 and 2006 General Household Surveys, which have the advantage of collecting information on the individual receipt of social grant income. We find that although poverty rates have fallen for both males and females, and for male-headed and female-headed households, the decline has been larger for males and for male-headed households. Gender differences in poverty rates have therefore widened over the period. We show that these findings are robust to the possible underestimation of household income and to adjustments for household composition.     

Estimating flexible consumption functions for urban and rural households in China

There are few comprehensive studies of household consumption in China that covers all commodities due to data restrictions. This prevents the calculation of inequality indices based on consumption. This lack of coverage also makes analysis of policies that affect consumption difficult; economy-wide models used for analysis often have to employ simple consumption forms with unit income elasticities. We estimate a translog demand system distinguished by demographic characteristics, giving price and income elasticities that should be useful for policy analysis. We estimate separate functions for urban and rural households using household expenditure data and detailed commodity prices (1995–2006). This allows future analysis of social welfare and inequality based on consumption to supplement existing studies based on income. To illustrate an application of the model, we project consumption composition based on projected prices, incomes and demographic changes – aging, education improvement and urbanization.     

Energy consumption patterns and supply problems in underdeveloped areas in South Africa

Energy usage provides one striking example of processes and conditions of development and underdevelopment in South Africa and the concomitant inequalities in fulfilment of basic needs. Access to affordable and convenient fuels increases as households shift from underdeveloped rural and peri‐urban areas to the developed metropolitan centres. The form and quantity of fuels used by households is constrained by levels of urbanization, the availability and cost of fuels, and household income.

The energy supply problems in developing areas centre on two critical and immediate issues. Firstly, in rural areas the demand for fuelwood is exceeding supply with quite devastating social, economic and environmental consequences. A fuelwood supply and demand model has been developed which indicates the urgency for implementing afforestation programmes, although lack of sufficient suitable land implies that other energy supply strategies will also have to be considered. The second major problem is that the standard, most convenient and affordable domestic energy supply option, electricity, has still not been made available to many black townships and most peri‐urban areas. With increases in population and urbanization, the problem of adequate household energy supply is shifting to peri‐urban areas, which experience major social and economic costs as a result of dependence on costly and inconvenient fossil fuels and batteries. Electricity has been shown to be the most economical and preferred option.     

Perceptions of economic and financial conditions of households in 2000

'The economy grew by 3,0 per cent in 2000. This was the fastest growth since 1996, buoyed by a strong recovery in household consumption spending and an increase in exports of over 7 per cent in real terms' (Trevor Manuel, Minister of Finance, Budget speech, 21 February 2001). 'Growth won't solve our problems. The faster the economy grows, the faster will be the creation of jobs for the highly skilled. So there will be more, not fewer, problems with income disparity' (Iraj Abedian, Standard Bank Group Economist, cited in Financial Mail , 2001a). The aim of this article is to examine the extent to which economic growth, experienced in 2000, improved the financial and economic conditions of South African households, by analysing a national representative survey of 2 700 adult South Africans conducted by the Human Sciences Research Council in September 2000. The survey results were analysed by disaggregating data by race, gender, area type, province and Living Standard Measure (LSM). The theme emerging from this article is that although the majority of households were negatively affected financially and economically, proportionally more Africans, women, rural residents and poor households were hardest hit. Although South Africa achieved a 3 per cent economic growth rate in 2000, there is limited evidence to suggest that this growth trickled down to the majority of households.