We examine the relationship between likelihood to volunteer and a range of human capital, social capital, religious capital and ubuntu variables in South Africa seven years after the official end of apartheid.
In order to address South Africa’s maternal and infant mortality and morbidity rates, patient and community-level preventable factors need to be identified and addressed. However, there are few rigorously implemented and tested studies in low- and middle-income countries that evaluate the impact of community-level interventions on maternal and infant health outcomes.
We present evidence of how researchers from developing countries are represented in three areas of research: conference presentations, articles in journals, and citations. We find that the bulk of research on development and development policies in the South is conducted by researchers from the North.
Trends in socioeconomic-related health inequalities is a particularly pertinent topic in South Africa where years of systematic discrimination under apartheid bequeathed a legacy of inequalities in health outcomes. We use three nationally representative datasets to examine trends in income- and race-related inequalities in life expectancy (LE) and health-adjusted life expectancy (HALE) since the beginning of the millennium.
Martin Gustafsson has recently published a report titled “Pandemic-related disruptions to schooling and impacts on learning proficiency indicators in which he has modelled the possible effects of the COVID-19 pandemic on global indicators of learning proficiency.
A new Youth Capital report, Matrics ‘on the Fringe’: a Review of the Second Chance Programme, has recently been released. The report draws from the findings of a technical report compiled by RESEP researcher Martin Gustafsson who, assisted by PhD candidate Lunga Swelindawo, analysed government reports and surveyed online material to produce a qualitative study of second-chance Matric opportunities
Household surveys systematically exclude or undercount vulnerable populations and these exclusions and underestimations will materially affect estimates of need such as access to clean water or adequate sanitation.
For better or worse, all of our careers are shifted, shaped and sometimes shortened by influential figures in our lives. When it comes to women in Science, Technology, Engineering and Mathematics (STEM) fields, access to support structures are even more important for growth and development. Unfortunately, many females still have to overcome barriers of prejudice and inequality.