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This study aims to investigate the impact of social grants on rural household welfare in a village located in one of the poorest provinces in South Africa – KwaZulu Natal Province. Actually, since the inception of democratic rule, the South African government has turned to social grants to address the issues of poverty, income inequality and to improve household welfare. The coverage of social grants has increased substantially with more than 17 million (about 34% of the population) South Africans being recipients of social grants. Despite having relatively well-developed social security system, poverty levels in rural parts of South Africa remains very high.

This study uses a cross-sectional households survey data conducted in Hlokozi village. A propensity score matching technique, which accounts for non-random selection of households, is applied.

The results reveal that social grants have a significant and positive impact on rural household welfare. Specifically, the nearest neighbour matching estimates suggest that the causal effect for social grants on household welfare is the region of about R5,830. Consistent with the nearest neighbouring method, the results obtained using the Kernel matching method show that social grants are significant in improving rural household welfare.

While there are a number of studies that have shed some light on how social grant reduces poverty in South Africa, there are some gaps. Firstly, only a few studies have interrogated the impact of social grants on household welfare. Secondly, most of these studies have relied on descriptive analysis, and finally, besides poverty being high in rural areas, research on the impact of social grants on rural household welfare remains thin.

The purpose of this paper is to quantify the impact of social or government transfers on income inequality and poverty in South Africa.

A top-down, bottom-up (TD-BU) model which combines an econometrically estimated labor supply model, a detailed tax-benefit module and a computable general equilibrium model is used in order to analyze the impact of government transfers on income inequality and poverty in South Africa. The paper uses a merged South African income and expenditure household survey and labor force survey for the year 2000, and a South African social accounting matrix as the main data sets.

Simulation results suggest that doubling of government transfers lead to a 5.5 percent reduction in poverty if a relative poverty measure is used and a 7 percent reduction if an absolute poverty line is used. In addition, simulation results show differences in poverty and inequality measures between the MS-only model and the linked TD-BU model confirming the importance of linking the two models.

The TD-BU approach is important since it explicitly accounts for the following aspects: that labor supply should adjust to changes in the tax-benefit model, general equilibrium effects and the heterogeneity of economic agents. This allows for a richer micro-household modeling.

This study aims to assess the impact of participation in self-help group (SHG) on the psychological empowerment of rural tribal women.

Primary data was collected using multistage random sampling from the rural women of Jharkhand, India. The propensity score matching method was adopted using the psmatch2 command in STATA.

The results show a significant positive change in women’s self-esteem, self-confidence, self-efficacy, autonomy, knowledge and skills, reduction in agony and quality of life after participation in SHG. This reveals that participation in SHG has a significant positive impact on the psychological empowerment of rural tribal women.

Despite the numerous studies on rural women’s empowerment, there is little evidence of literature focusing on the impact of participation in SHG on psychological empowerment, specifically in the tribal context. This study primarily focuses on women belonging to the scheduled tribe category of Jharkhand, one of the poorest states of India.