This multi-country analysis studies the food security implications of natural pollinator populations in sub-Saharan Africa, where smallholder farmers rely on wild pollinators in the absence of commercial pollination services. The study specifies daily intake of energy, macro-nutrients, minerals and vitamins per household member, and identify differences in pollinator dependence in male- and female-headed households. Four key observations emerge. First, smallholder farm households produce a menu of food crops.

The authors examine whether high personal discount rates help explain why and which households in developing countries under-invest in seemingly low-cost options to avert environmental health threats, including bednets, clean cooking fuels, individual household latrines, water treatment and handwashing. First, the authors elicit personal discount rates by combining a simple randomized experiment with detailed surveys of over 10,000 rural households in Maharashtra, India. Personal discount rates are lower for women, for better-off households, and for households who can access formal credit.

Background:

Socioeconomic status can affect health in childhood through many different pathways. Evidence on how households differ with regard to socioeconomic status and the degree to which this difference is associated with investment in child health is essential to the design of appropriate intervention strategies.

Aim:

This paper shows how policies aimed at insuring health risks and those intended to improve the environment are (and should be) deeply intertwined. In the model economy inspired by recent Chinese experience, pollution raises the likelihood of future, poor health prompting households to save more so as to self-insure against anticipated medical expenses. Increased household saving generates more capital while capital use by firms generates more pollution.

We investigate the effects of climate variables on food and nutrition security and the probability of a household being food and nutrition insecure. Panel data methods from three waves of the Tegemeo Institute Household survey data (2004, 2007, and 2010) are used. Climate change is measured by long-term averages of temperature and rainfall, all measured at the peak precipitation month and extreme values of the Standardised Precipitation-Evapotranspiration Index (SPEI).