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The objective of this study is to estimate the impacts of access to irrigation on farm income, household income and income diversification.

This study employs an endogenous switching regression (ESR) model to address the selection bias arising from both observed and unobserved factors and analyze cross-sectional data collected from Fujian, Henan and Sichuan provinces in China. The authors use the Simpson index to measure household income diversification. The propensity score matching (PSM) model and control function approach are also used for comparison purpose.

After controlling for the selection bias, the authors find that access to irrigation has a positive and statistically significant impact on rural incomes and diversification. The treatment effects of access to irrigation are to increase farm income, household income and income diversification by around 14, 10 and 107%, respectively. The positive effects of access to irrigation are confirmed by the estimates of the PSM model and control function approach. Further analysis reveals that the irrigation effects on rural incomes and diversification are heterogeneous between small-scale and large-scale farmers and between male-headed and female-headed households.

The authors’ findings suggest that the government should continue to improve irrigation infrastructure construction in rural China to promote smallholder farmers' water access and at the same time facilitate farmers' access to better agronomic and irrigation information. There exist gender and farm size related income and diversification effects of access to irrigation, and the irrigation access is associated with farm location. Thus, when developing regional irrigation programs consideration needs to be taken of whether the rural farming systems are dominated by male/female household heads and land fragmentation/consolidation issues.

Although a large body of literature has investigated the effects of irrigation development in rural areas, little is known about the impact of access to irrigation on income diversification. The selection bias associated with unobserved heterogeneities is usually neglected in previous studies. This study provides the first attempt by examining the impacts of access to irrigation on rural incomes and diversification, using the ESR model to address both observed and unobserved selection bias.

Against the background that Ghanaians seldom purchase insurance policies, the purpose of this paper is to investigate the determinants of life insurance uptake among male and female household heads in Ghana.

The study employs data on 775 male and 233 female household heads from the sixth round of the Ghana Living Standards Survey. Adjusted Wald test statistics and logistic regressions are employed for the empirical estimations.

Results from the adjusted Wald test show that the sampled male household heads significantly differ from their female counterparts in terms of the selected socioeconomic and demographic characteristics. Though ill health status, higher wealth, being self-employed or in wage or salaried employment and residing in either of the three northern regions (upper east, upper west and northern regions) in Ghana broadly affect the demand for life insurance among both male and female heads, other factors are peculiar to either parties. Particularly, whereas female heads who are married and those with more dependants have a higher propensity of purchasing life insurance policies, their male counterparts with higher education are more likely to buy life insurance policies.

The paper adds to the paucity of cross-sectional studies on life insurance demand in Africa.

Based on the explored determinants, insurers could better regulate the purchase of their products by taking into consideration the gender differences to maximize their sales and enhance economic growth and development.

This paper explores the gender dynamics in the determinants of life insurance demand in a developing country, Ghana. Besides, findings from related literature are reported to be mixed. Though the current paper is not wholly nationally representative, it utilizes data from across all the ten administrative regions of Ghana. To the best of the authors’ knowledge, no prior study has been conducted in this manner.

The purpose of this paper is to analyse the determinants of the saving behaviour of Vietnamese households and to explore the possible heterogeneity of household saving propensities.

The authors estimate the effects of household characteristics on Vietnamese household saving rates by means of a quantile regression approach using the Vietnam Household Living Standard Survey 2010 data set.

The results suggest that the way household characteristics influence saving rates is different for each quantile of the household saving rate distribution. Household characteristics tend to have stronger effects at lower quantiles. Particularly, the marginal propensity to save of households at low quantiles is higher than those at high quantiles. Analysing rural and urban households separately, the authors find evidence that household and household head characteristics have stronger significant effects for rural than for urban households. Children and elderly members should be treated as part of the household labour force, instead of household dependency, since both of them increase household saving rates.

This research contributes to the literature on Vietnamese household saving behaviours, especially for households living in urban areas.

The purpose of this paper is to explore the factors that affect farmer’s decision to allocate credit for livestock production. The results are expected to contribute to the understanding of what motivates smallholders to allocate credit to agricultural production in general and livestock production in particular. A better understanding of the farmers’ behavior in allocating credit for livestock would provide useful information for project implementers and financial institutions that work with small-scale livestock producers.

A cross-section data set collected in 2014 from 5,000 households and 497 rural communities in the major highland regions of Ethiopia is examined. The authors developed a conceptual framework for credit allocation decision. Percentiles, means, and standard deviation as well as t, χ² and Fisher’s exact tests for association and Cramer’s V measure for strength of association have been used to describe the status of farmer’s access to credit and analyze credit utilization, while a three-stage probit model with double sample selection is used to identify factors that affect household’s decision to allocate credit for livestock production.

After controlling for potential selection biases, sex and literacy status of household head, land size, wealth and access to livestock centered extension service are found to have a statistically significant effect on farmers’ decision to allocate credit to livestock production. The results showed female-headed households, wealthy farmers, farmers with small plot of land and farmers that have access to livestock centered extension services are more likely to allocate the credit for livestock production. The results suggest that policies aimed at improving access to credit together with access to livestock focused extension service are more effective in increasing livestock production.

The study’s findings should be viewed with perspective and caution, as only households with excess demand for credit were the subject of the research.

The contribution of this paper is twofold. First, it is one of a very few empirical studies that try to identify factors that affect households credit allocation to livestock in systematic way that removed confounding effects using three-stage probit models. Given the emphasis on financial constraints in livestock development, new empirical insights on household credit allocation are essential to better inform development interventions. Second, the analysis relies on a comprehensive data set that represents the major agricultural system of the country.

The purpose of this paper is to analyze food security status and its determinants among households in the Eastern Cape Province of South Africa.

The analysis is based on the General Household Survey which was conducted in 2014 where 3,033 households were sampled from the province. Specifically, this study examines the determinants of food security proxy by dietary diversity (24-hour recall) using descriptive statistics, Poisson regression. A frequency count of food groups consumed household dietary diversity score was used as the explained variable.

The descriptive analysis shows that, although 61.7 percent of households in the study area have a high dietary diversity score, however, food group giving micronutrients are less consumed as food groups having cereals (maize), beef, sugar and oil was mostly consumed. Results on the marginal effect of Poisson regression indicate that household head characteristics (age, gender, education, marital status, and employment status), pension receiving households and geographical location significantly influence household dietary diversity.

This study advocates for the intensification of rural development and food security programs, formal and informal education for household heads, female empowerment and dietary enlightenment for households in order to promote the consumption of diverse diets and more healthful food groups.

Are the urban and rural male-headed households (MHHs) or female-headed households (FHHs) poorer and food (in)secured? Such question is of very important policy concern in the drive towards achieving the first two of the Sustainable Development Goals.

This paper uses 2010–2012 waves of General Household Survey cross-sectional panel data to investigate food (in)security and poverty dynamics amongst MHHs and FHHs in Nigeria, with particular attention to rural and urban dimensions.

Applying the tobit and probit regressions while controlling for poverty and other household characteristics, we observed that female-headed families are more vulnerable to higher incidences of food insecurity than male-headed ones and with an overall significant urban food security advantage compared to rural areas. Comparing urban and rural results in terms of land access rights, urban food insecurity manifests more amongst urban FHHs non–Agri-land owners which however falls as food expenditure rises. However, the rise in per capita food consumption, agricultural characteristics and years of schooling reduces the likelihood of food insecurity for all households.

This study, therefore, offers relevant policy inputs towards addressing poverty and food insecurity in a typical developing country such as Nigeria.

The purpose of this paper is to examine the social, economic and demographic determinants of rural households' risk perception of farmer–herder (FH) conflicts in Nigeria. The paper also investigates two aspects of FH conflict risk perception relating to food production and physical insecurity.

A FH conflict risk perception model is constructed and tested using exploratory factor analysis (EFA), ordinary least squares (OLS) and seemingly unrelated regression equation (SURE) models. The study uses cross-sectional data from 401 rural households in Nigeria.

Results show that in addition to economic determinants like farm size, land ownership and crop diversity, socio-demographic variables like age and number of languages spoken are significant predictors of household risk perception of FH conflict. Second, although gender and frequency of FH conflict have no significant effect on the risk perception of FH conflict, there is a significant moderating effect of frequency of FH conflicts on the influence of gender on the risk perception of FH conflict. Third, findings also highlight the important predictors of the risk perception of FH conflicts relating to food production and physical insecurity.

Findings give insight into policies targeted at influencing the risk behaviour of rural households. This is important to aid the development of efficient risk management initiatives.

India has shown good progress in maternal health outcome indicators. However, an area for improvement is to ensure all deliveries take place in institutions under the supervision of skilled birth attendants. This paper attempts to identify the factors that affect institutional deliveries using nationally representative National Family Health Survey (NFHS) data. Further, the authors investigate the factors contributing to the wealth-based inequality in institutional deliveries.

To address the first aspect of identifying the factors associated with undergoing an institutional delivery, the authors have used logistic and multinominal logistic models. The explanatory variables are broadly socio-economic indicators of the mother and a few other household characteristics. Further, the concentration index and regression-based decomposition were used to carry out an inequality analysis in the institutional deliveries across different wealth groups.

The authors found that women belonging to poor households, backward social groups and rural areas have significantly fewer odds of undergoing an institutional delivery. Age and education level of the mother, number of antenatal visits during pregnancy and place of residence (urban/rural) have contributed to the inequality in institutional deliveries in 2005–2006. However, the inequality due to these factors went down drastically in 2015–2016.

To the best of the authors' knowledge, this study is a distinct attempt to use pooled data of the NFHS-3 [2005–2006] and NFHS-4 [2015–2016] in identifying factors contributing to a woman undergoing an institutional-based delivery. The study also decomposes the wealth-based inequality in the factors contributing to having an institutional delivery and analyses the contributions to inequality across the two time periods.

The relationship between women and extreme weather events is a significant issue given differential impact, adaptation strategies and coping mechanisms for genders. However, the women’s vulnerability and its determinants remain an understudied area. The paper aims to fill this important gap in literature by focusing on women’s vulnerability during the recent floods in the rural areas of Indian state of Kerala using primary data. With a focus on identifying the socioeconomic factors associated with women’s vulnerability, this paper also makes policy suggestions to reduce their vulnerability in the face of floods in Kerala where it is becoming a recurrent phenomenon.

This study is based on the primary data collected using structured questionnaire answered exclusively by women respondents. Chi-square tests and ordered logistic regression model have been used to analyze the relation between the women’s vulnerability during floods and their socioeconomic determinants.

The analysis found that the better availability of credit to women, access to information tools and higher income for women can reduce their vulnerability when a sudden disaster strikes.

This study is unique as it focuses on rarely studied topic women’s vulnerability in the face of weather-related disaster in the rural setting, understanding their level of vulnerability and then identifying the associates of the same, this paper makes an exceptional contribution to the literature on women and environment in general.

Within the framework of potential efforts and strategies to employment generation for young people in Africa in general and Ethiopia in particular, the agricultural sector is increasingly considered as an important sector and a valuable means for poverty reduction, the promotion of economic development, and youth's economic independence. Renewed hope is placed on the sector to offer sustainable livelihood prospects for the rural youth. Yet, the success and sustainability of the sector require a proper understanding of how households allocate youth labor time in the sector and whether agricultural labor supply is responsive to economic incentives such as shadow wages. Using gender- and age-specific plot-level panel data, we systematically analyze the impacts of shadow wages of each household member on youth agricultural labor supply across types of farms. The results indicate that agricultural shadow wages matter for the youth's labor supply in the sector, but the impact differs for male and female youth. We also show that trends and patterns of youth labor supply vary across gender and whether they work on their own farm, and so do their labor returns. The results are consistent after controlling for individual heterogeneity and instrumenting for possible endogeneity. Taking into account the intensity of youth's actual involvement in the family farm, own farm or off-farm work instead of their stated intentions, the results challenge the presumption that youth are abandoning agriculture, at least in agricultural potential areas of Ethiopia. Instead, the frequent narrative of youth disengaging from agriculture may be a result of methodological flaws or data limitations. The findings suggest that it is necessary to invest in agricultural development to enhance labor productivity and employability of young people in agriculture.