Search results

Although preference for sons has been documented among parents in developing countries, it is an open question whether and to what extent intra-household resource allocation is influenced by family sex composition. This study investigates the effects of sex composition on intra-household resource allocation based on the collective household model of Dunbar, Lewbel, and Pendakur (2013). I extend their model to estimate the influences on a household member’s resource share by observing how budget shares of a private assignable good vary not only with total expenditure and family size, but also with family sex composition. Using data from the 2005 Iranian Household Income and Expenditure Survey, I find that family composition significantly affects intra-household resource allocation in Iranian rural areas. Specifically, rural parents assign 1.6–1.9 percentage points more resources toward their sons. These resources are essentially coming at the expense of mothers. In all-boy families, mothers get 2.8–3.6 percentage points fewer resources than they do in all-girl families. These effects are more pronounced among farmer families than nonfarmer families. However, I find no significant role for gender composition in intra-household resource allocation in urban areas.

This study aims at exploring the choices of livelihood strategies amongst the rural youth and how these choices relate to food security and income poverty.

The study used data from the 2016/17 wave of Integrated Household Living Condition Survey, with a sample size of 1,050 rural youths. Statistical and econometrics methods including descriptive statistics and the Multinomial Endogenous Treatment Effect (METE) model were used to analyse the data.

Livelihood choices were grouped into five categories, namely agriculture, non-farm wage employment, agriculture plus non-farm wage, agriculture plus self-employment and agriculture plus non-farm wage plus self-employment. The estimates from METE indicate that the youths' choice of non-farm wage, agriculture plus non-farm wage and agriculture plus self-employment contributes substantially to household food security improvement and poverty reduction. These findings show that agriculture is necessary but not a sufficient livelihood strategy to sustain the rural youth's contribution to youth's household welfare. The rural youth will pursue agriculture as a reliable source of livelihood not only for food self-sufficiency, but also for ensuring adequate return to labour.

This paper extends single choice analysis to multiple choices impact analysis, which has the advantage of accounting for selection bias due to both observed and unobserved heterogeneity. This paper assesses the differential impact of the choice of single as well as multiple livelihood strategies.

The major aim of this study is to determine the effect of urbanization and income level on the behaviours of consumers towards red meat consumption structure in Van, Turkey.

The sample size was found to be 96 and 95 households in urban and rural areas, respectively, using sampling applicable when the population is limited. The households were classified into four groups according to their average yearly incomes. Independent‐samples t‐test, one‐way ANOVA, χ² and linear regression statistical tests were applied. The questionnaires were filled in between 15 November 2004 and 5 March 2005.

The average yearly fresh red meat consumption quantity per head of rural households (8.69 kg) was considerably lower than that of urban households (13.19 kg). The regression test showed that $1,000 increase in income would result in 4.38 and 8.24 kg increase in yearly red meat consumption quantity per households in urban and rural areas, respectively.

The paper compares the differences between the urban and rural areas in terms of consumers' behaviours towards fresh red meat consumption structure, which is original research subject for the region.

The purpose of this paper is to investigate household financial choice and the determinants of financial services in rural and urban households in Ghana.

Data from the Ghana Living Standard Survey 5 (GLSS 5) are used to estimate the participation of a household in a particular financial sector and what determines this choice.

The results from Tobit and conditional logit models account for households' demographic characteristics and their financial decisions. The Tobit estimates show that household size, age, sex, marital status, occupation, income, remittances and shocks determine households' participation in the financial markets. Conditional logit model results suggest that locational characteristics are important in obtaining financial services from particular sectors of the financial market. The results also suggest that when the alternatives of financial services are available, rural households are more likely than urban households to obtain their financial services from the informal financial sector.

This current study contributes to the existing literature from the Ghanaian perspective.

The purpose of this paper is to analyse the spatial disparity between rural and urban areas in Ghana using the Ghana Living Standards Survey’s (GLSS) rounds 5 and 6 data to advance the assertion that an endowed rural sector is necessary to promote agricultural development in Ghana. This analysis helps us to know the factors that contribute to the depravity of the rural sectors to inform policy towards development targeting.

A multivariate principal component analysis (PCA) and hierarchical cluster analysis were applied to data from the GLSS-5 and GLSS-6 to determine the characteristics of the rural-urban divide in Ghana.

The findings reveal that the rural poor also spend 60.3 per cent of their income on food, while the urban dwellers spend 49 per cent, which is an indication of food production capacity. They have low access to information technology facilities, have larger household sizes and lower levels of education. Rural areas depend a lot on firewood for cooking and use solar/dry cell energies and kerosene for lighting which have implications for conserving the environment.

Developing the rural areas to strengthen agricultural growth and productivity is a necessary condition for eliminating spatial disparities and promoting overall economic development in Ghana. Addressing rural deprivation is important for conserving the environment due to its increased use of fuelwood for cooking. Absence of alternatives to the use of fuelwood weakens the efforts to reduce deforestation.

The application of PCA to show the factors that contribute to spatial inequality in Ghana using the GLSS-5 and GLSS-6 data is unique. The study provides insights into redefining the framework for national poverty reduction efforts.

The purpose of this paper is to understand the factors determining the incidence and extent of indebtedness among agricultural households in rural India.

This study is based on a nationally representative survey carried out under the 70th Round of the National Sampling Survey Office (NSSO) across rural India. Data on household characteristics, farming characteristics, indebtedness and extent of outstanding credit have been extracted from the comprehensive survey data. Four research hypotheses have been formulated and tested using simple statistical techniques. Further, using the Heckman Selection Model, the study assesses the factors determining the agrarian indebtedness among households in rural India.

The results from the descriptive analysis show that there is a significant difference in socio-economic and farm characteristics of indebted and non-indebted households. Further, the level of indebtedness differs across sources of the loan, landholding sizes and geographical locations among agricultural households. The results of regression analysis clearly indicate that household characteristics, farm characteristics and sources of loan determine both the incidence and extent of indebtedness among agricultural households.

The main limitation of the study is that only the data giving information regarding the amount of outstanding loans have been collected, and there is no information regarding the amount of credit availed, the purpose and the due date of payment. Further, there is scope to improve the robustness of the empirical model by adding and modifying explanatory variables.

There are only a limited number of empirical studies providing an understanding of the factors determining the indebtedness of agricultural households in rural India. Hence, this study is a good value addition to the existing literature.

This study empirically examines the impact of rural roads on consumption of households in Ethiopia.

Both descriptive statistics and econometric techniques are used to address the aforementioned objective. Specifically, quantile regression, fixed- and random-effect models are used to understand the impact of rural road quality on welfare.

The econometric analysis revealed that improving the quality of rural roads and/or creating access to all-weather roads raises households' average real consumption per capita by as much as 10%. The other transport indicator – mode of transport – also has a positive effect on real consumption per capita. The result indicated that real consumption per capita for households using the traditional mode of transport would increase by as much as 7% compared to those using foot as a major mode of transport. However, the fixed quantile estimation result revealed that rural road access has a positive and significant effect on consumption per capita only for the 0.8th and 0.9th percentiles, indicating that the access to roads is not pro-poor.

Improving rural roads to a level of all-weather road standards and provision of agricultural transport facilities should be strategic priorities.

This study provides empirical evidence pertinent to the effect rural mobility has on the consumption of households as well as the pro-poorness of such investments in rural settings.

It is widely believed that ICT has a significant influence on the daily life of the poor and has positive spillover effects in their livelihoods. Mobile phones are one of the few ICT innovations that have found their way into the hands of the poor residing in remote and rural areas. In Ethiopia, mobile phones are recently introduced but got an acceptance from everyone including the rural poor; in five years’ time, mobile phones subscription has increased from less than 4% to more than 40%. Empirical evidence generally documents the positive role mobile phones play in facilitating the development efforts of poor households. However, using panel data from Ethiopia, the current paper explores a less investigated issue of the possible effects of mobile phone adoption on the credit uptakes of the rural poor who are mostly neglected from the formal credit markets but finance their credit demand from informal sources including relatives/friends.

To investigate the relationship between mobile phones and credit uptake and/or loan size, one can use different empirical strategies. For partly unleashing the endogeneity problem, an instrumental variable estimation approach is adopted in this paper. To deal with the endogeneity problem, one may consider using the linear IV approach or the control function. But the outcome variable and the endogenous variable are binary in nature, and the usual trend is to use the linear IV models or control functions, which do not consider these binary natures of the variables. To this end, a special regressors estimator is adopted, mostly used when both the dependent and the endogenous variables are binary in nature.

The econometric results suggest mobile phones are positively associated with the credit uptake of rural households, especially credit uptake from informal sources. Households with mobile phones are found to have 4%–14% higher probabilities of credit uptake and about 6%–17% in the case of credit from informal sources. Besides, households with mobile phones are found to have about ETB 65 (USD 3.42) higher loan size and about ETB 78 (USD 4.11) higher amount of loan in the case of a loan from the informal sources. Thus, policy-makers and financial providers working on providing credit in rural areas need to exploit the use of mobile phones in reaching out to the rural poor.

The author attests the fact that the work described has not been published previously and that it is not under consideration for publication elsewhere. Besides, it is the original work of the author.

The purpose of this paper is to investigate factors that determine rural households’ access to finance provided by Islamic microfinance institutions (MFIs) in Indonesia.

A two-year panel data set with logistic regression is used to identify the determinants of access to finance by rural households. The study sample comprises of 289 Islamic MFIs’ clients and 140 non-clients from East Java, Indonesia. The clients consist of 111 rural households with profit and loss sharing (PLS) schemes, 162 clients with non-profit and loss sharing (non-PLS) schemes and 16 clients with both schemes.

The empirical results show that age, gender and income influence rural households to access finance provided by Islamic MFIs. The results show an increase in age and income increase the respondents’ likelihood to access finance. Further, male respondents are more likely to access finance from Islamic MFIs than females.

The empirical analysis is limited to data obtained from East Java province in Indonesia, and other provinces may show different results. However, this study is among the few studies that investigate access to finance from Islamic MFIs based on PLS and non-PLS schemes.

The novelty of this study lies in the unique financing accessibility between PLS and non-PLS schemes in Islamic MFIs. This study will be an important addition to the emerging literature on Islamic microfinance.

Enhancing household consumption and reducing inequality are among the fundamental goals of many developing countries. The purpose of this study therefore is to disaggregate household consumption expenditure into food and non-food and, thus, decompose inequality into within- and between-groups.

The study adopts generalised entropy (GE) measures. Second, the study uses regression-based inequality decomposition to ascertain the determinants of inequality in food and non-food expenditure using household demographic and socioeconomic characteristics as covariates.

The results show that non-food expenditure is the major source of inequality in household consumption expenditure in both urban and rural areas with inequality coefficients of above 0.6 compared to about 0.4 for food expenditure. The decompositions also show that within-group inequalities for non-food and food expenditure are, respectively, 0.97 and 0.365 using the Theil index, while between-group inequalities for non-food and food are, respectively, 0.016 and 0.035. Furthermore, the regression-based inequality decompositions show that variables such as living in rural areas, household size, household dwelling and household dwelling characteristics account for the significant proportion of inequality in food and non-food expenditure.

The policy implication of the findings, among others, is that policies should focus on addressing inequality within rural and urban areas, especially with respect to non-food expenditure than in inequality existing between urban and rural areas. These non-food expenditures include expenditure in education, health, energy, accommodation, water and sanitation.