Search results

Homeownership provides shelter and is a vital component of wealth, and house purchase signifies a lifetime achievement for many households. For South Africa confronted with social and structural challenges, homeownership by the low and lower middle-income household is pivotal for its structural transformation process. In spite of these potential benefits, research on the affordable housing market in the context of South Africa is limited. This study aims to contribute to this knowledge gap by answering the question “do changes in household income per capita have a symmetric or asymmetric effect on affordable house prices?”

A survey of the international literature on house prices and income revealed that linear modelling that assumes symmetric reaction of macroeconomic variables dominates the empirical strategy. This linearity assumption is restrictive and fails to capture possible asymmetric dynamics inherent in the housing market. The authors address this empirical limitation by using asymmetric non-linear autoregressive distributed lag models that can test and detect the existence of asymmetry in both the long and short run using data from 1985Q1 to 2016Q3.

The results revealed the presence of an asymmetric long-run relationship between affordable house prices and household income per capita. The estimated asymmetric long-run coefficients of logIncome[+] and logIncome[−] are 1.080 and −4.354, respectively, implying that a 1% increase/decrease in household income per capita induces a 1.08% rise/4.35% decline in affordable house prices everything being equal. The positive increase in affordable house prices creates wealth, helps low and middle-income household climb the property ladder and can reduce inequality, which provides support for the country’s structural transformation process. Conversely, a decline in affordable house prices tends to reduce wealth and widen inequality.

This paper recommends both supply- and demand-side policies to support affordable housing development. Supply-side stimulants should include incentives to attract developers to affordable markets such as municipal serviced land and tax credit. Demand-side policy should focus on asset-based welfare policy; for example, the current Finance Linked Income Subsidy Programme (FLISP). Efficient management and coordination of the FLISP are essential to enhance the affordability of first-time buyers. Given the enormous size of the affordable property market, the practice of mortgage securitization by financial institutions should be monitored, as a persistent decline in income can trigger a systemic risk to the economy.

The study results illustrate the importance of homeownership by low- and middle-income households and that the development of the affordable market segment can boost wealth creation and reduce residential segregation. This, in turn, provides support to the country’s structural transformation process.

The affordable housing market in South Africa is of strategic importance to the economy, accounting for 71.4% of all residential properties. Homeownership by low and lower middle-income households creates wealth, reduces wealth inequality and improves revenue collection for local governments. This paper contributes to the empirical literature by modelling the asymmetric behaviour of affordable house prices to changes in household income per capita and other macroeconomic fundamentals. Based on available evidence, this is the first attempt to examine the dynamic asymmetry between affordable house prices and household income per capita in South Africa.

The purpose of this paper is to examine the affordability of private tertiary education for households in Malaysia.

The relevant literature is reviewed to provide an overview of the affordability of private tertiary education. Data are obtained randomly from a private university in Malaysia and the results are analyzed using the one‐sample t‐test and one‐way ANOVA.

The proxy of affordability, which is the average household income, reveals the per capita average is more than three times the national average, which points out the non‐affordability of students from low and average earning households to afford private tertiary education in Malaysia. Financial assistance of students at the tertiary level is insufficient and may warrant further policy and administrative improvements to reach deserving students. There is also difference in income and hence affordability between urban‐rural households, a perspective that demands changes in the current income distribution policies. In order to address the issues highlighted in this study, salient suggestions have been proposed.

This paper reinforces the need to address the issue of affordability of tertiary education and its significant importance, especially to developing countries.

The purpose of this paper is to examine the impact of off-farm income on food expenditure, using survey data of 493 rural households from Gansu, Henan and Shandong provinces in China.

A two-stage least squares estimator is used to jointly estimate the determinants of off-farm income and the direct impact of off-farm income on food expenditure while controlling for the endogeneity issue associated with off-farm income variable.

The empirical results show that gender, education of household head, household size, farm size, the presence of children, smartphone use and asset ownership mainly determine off-farm income, and the off-farm income affects food expenditure of rural households significantly. In particular, the results show that a 1,000 yuan increase in per capita off-farm income increases per capita food expenditure by 61 yuan. Further estimations reveal that off-farm income has a larger effect on food expenditure of high-income rural households relative to their low-income counterparts.

Although poverty implications of off-farm income have been well documented, few studies have analysed the effects of off-farm income on food expenditure of rural households. To the best of the authors’ knowledge, there are no studies on this issue that focus on rural China. Therefore, the present study attempts to provide a first insight into the association between off-farm income and food expenditure of rural households in China, with the aim of providing useful evidence for policymakers in their efforts to reduce rural and urban food consumption gap and further increase social welfare.

The purpose of this study is to adopt quantile regression to investigate the impact of several factors on per capita income of participants of micro-financing scheme (Amanah Ikhtiar Malaysia [AIM]), who are mostly women at different point on the income distributions.

This study uses data collected from a survey on respondents who are the participants of AIM program using convenience sampling in Perak and Kelantan.

The empirical results show that the value of asset, value of loan, household size, ratio of spending to income and dummy state are consistently giving similar impacts on per capita income of participants at different quantiles.

However, age negatively and significantly affects per capita income only at middle and lower quantiles but not at higher quantile of per capita income.

The purpose of this paper is to study convergence and income mobility of China’s rural households.

The data of rural household income per capita are employed to compute the transitional dynamics in the rural sector. The analyses are conducted at two spatial levels, namely, the national and provincial levels. Ergodic distributions are computed to provide a forecast of future income distributions, whereas Mobility Probability Plots are constructed to offer detailed information on the transitional dynamics.

The income distributions are found to have considerable persistence. Another finding is that most of the households (except the extremely low-income households) have a tendency of moving downwards in the income distribution though they are more likely to remain in the same levels of relative income because of their high persistence. Convergence to a unimodal income distribution is possible in the long run, however, the households will converge to a value which is far below China’s per capita gross domestic product.

Since a lot of the rural households would congregate to the lower part of the income distribution if the transitional dynamics remain unchanged, therefore, it calls for government intervention.

More resources should be diverted to the rural sector.

The finding also shows that the provinces have very different transitional dynamics even if they are situated in the same economic zone. Thus, the government should formulate province-specific development polices so as to promote greater equality.

Given that no recent research has been conducted on convergence and transitional dynamics of rural household income. Therefore, this paper attempts to fill the gap in the literature by investigating the pattern and future development of rural household income in China through the use of stochastic kernel approach.

The purpose of this paper is to examine the impacts of large income and expenditure shocks on household food expenditures and determines whether the impacts of large shocks differ among households, especially low-income households.

The study’s data are drawn from a household survey conducted in rural China. Multivariate analysis examines the impacts of large income and expenditure shocks on food expenditures.

The impacts of large positive income shocks on food expenditure are moderate. However, households reduce their per capita food expenditures within a range of about 25-30 percent after suffering large negative shocks. The greatest impact is found for shocks where expenditures more than double, followed by the impact of shocks where income declines by more than half. Moreover, food expenditures among low-income households are much more sensitive to large negative income and expenditure shocks. The paper concludes with policy implications.

This is the first Chinese study to empirically examine the impacts of different income and expenditure shocks on household food expenditures. The results have important implications for smoothing households’ food consumption after they suffer from shocks.

Food consumption patterns have changed in many Asian countries over the past two–three decades. It is important to understand the changes in food consumption patterns and its drivers in different country settings as each country has different food cultures, tastes and habits. Thus, the purpose of this paper is to examine the patterns and determinants of food consumption choice and demand in Sri Lanka.

Using Household Income and Expenditure Survey 1990/1991, 2002 and 2012/2013 data, this study explores the relationship between food consumption patterns and the observed changes reported in per capita income, urbanization, structural transformations and demographics. Specifically, present study estimates the probability of consuming main food items such as rice, bread, dhal, vegetables and fish using a multivariate probit model and also estimates income and price elasticities of household major food items by applying Quadratic Almost Ideal Demand System.

This study demonstrates that per capita income, food prices, education level of the household heads, rural–urban affiliation and ethnic background significantly affect the consumption decision of the major food items. Sri Lankan households in general seem to consider that rice and dhal are necessary commodities, whereas bread and fish are luxury commodities.

The lack of panel data and several missing districts in two survey rounds for analysis are limitations of the study.

To the author’s knowledge, this is the first study for Sri Lanka that examines food consumption choice and demand using nationwide data for the last two decades. This study applies novel econometric techniques to account for various issues in data analysis.

This paper argues that the assumption of a homogeneous workforce, which is implicitly invoked in the decomposition analysis of changes in welfare indicators, hides the role that schooling and its returns may have on the understanding of these changes. Using Peruvian cross-sectional data for a period of 10 years (2004–2013) and counterfactual simulations, this paper finds that the main factor contributing to poverty reduction has been individuals’ changes in labor earnings, and the role of these changes has been less important in reducing income inequality. The main driving force of reduced income inequality has been the fall in returns to education, which at the same time has been one of the important factors to constraining the period’s remarkable progress in poverty reduction and expansion of the middle class.

This paper studies which aggregate socio‐economic factors determine the long run entry and exit process of the retail sector at the provincial level by using a data set of 30 provinces over eight years (1985–1992). The following results are obtained: (1) All predictor variables, especially population growth rate, average wage rate and employees per store, have statistically significant effects on the entry and exit process. Per capita national income, store per capita, average wage, mobility are significant in accounting for the variations in sales per store. (2) The 1988 austerity programme only affected the short run variable, sales per store but not the long run variable, store per capita. This suggests that the short run recession induced by the austerity programme could not affect the long term trend of the retail sector.

Examines the revenue and expenditure behaviour of the 19 state governments in Nigeria separately for the civilian and military regimes of 1980‐83 and 1984‐87, respectively, with a view to comparing the two. Annual figures are employed in the regression analysis through pooling of time series and cross‐section data and all the endogenous items of state government budgetary accounts, expressed in per capita terms, are analysed. Suggests that: (1) per capita federal allocations, population, population density, per capita income, and literacy items all influence the per capita endogenous budgetary items; (2) the impacts of these factors, except population density, on the budgetary items materially differ over the civilian and military regimes; and (3) autonomous components of these endogenous budgetary items also differ over the two regimes.