NSSCO Development Studies 6136 study materials
NSSCO Development Studies 6136 study resources

NSSCO Development Studies 6136: Gender, Education and Health in Development

NSSCO Development Studies 6136 · Work through your exam, one topic at a time.

All guide sections

Gender, Education and Health in Development

This domain tests human development: how gender relations, education and health both reflect and drive development. Strong answers link evidence to policy rather than listing slogans.

Gender

  • Sex is biological; gender is socially constructed roles and relations.
  • Gender gaps appear in schooling, paid work, land ownership, unpaid care and decision-making.
  • Gender equality is both a right and an instrument: women's education and earnings raise household wellbeing.

Education and health

  • Education builds human capital and capabilities. Years of schooling are not the same as learning; quality, completion and skills matter.
  • Health affects productivity, school attendance and poverty. HIV, tuberculosis and malaria have shaped Southern African development.
  • Access, quality, affordability and equity are the key health-system questions.

Namibia has achieved relatively high female representation in parliament and near gender parity in primary enrolment, but faces teenage pregnancy, gender-based violence, skills gaps and high youth unemployment.

Worked example

A girl completes secondary school instead of leaving early. Likely effects include higher lifetime earnings, later marriage, fewer and healthier children, and better nutrition for the next generation. Barriers may include fees, distance, poor sanitation, pregnancy and care responsibilities. A policy package therefore needs scholarships, transport, school sanitation, re-entry rules and sexual and reproductive health services. The reasoning connects an education intervention to health and intergenerational outcomes.

Traps that cost marks

Treating gender as only about women; equating education with enrolment; equating health with hospitals; assuming correlation proves causation.