||This master’s project examines the concept of energy poverty on micro level sample
survey data collected from Indian households between November 2004 and October 2005.
Energy poverty refers to the lack of access of poorer households’ to sufficient volumes
of efficient means of energy for their daily use. Using statistical analysis, the
study identifies variables that can explain energy poverty of households – i.e. are
statistically significant in a model of energy poverty. It uses data collected by
a Living Standards Measurement Study (LSMS) called Indian Human Development Survey
(IHDS) 2005 contains information on levels of living, poverty and inequality in Indian
households from direct interview questionnaires. This survey was designed and implemented
by the University of Maryland in collaboration with the National Council of Applied
Economic Research (NCAER), New Delhi.
I model fuel type choice as a function of household consumption (as proxy for income),
education level of adult female and male members, poverty, household size and place
of residence. Consumption data is significant in defining choice of fuel type. Factors
like education, place of living and household size are statistically significant in
modifying the choices. The models conclude that use of polluting fuels is more prevalent
in poorer households, household with lower education and in rural households. However,
large family size is the biggest obstacle in adopting cleaner fuels.
I also model the health impact of smoke produced by biomass traditional stove, by
controlling for education of adult men and women, place of cooking, ventilation and
consumption level of households. I examine mortality and morbidities associated with
smoke exposure on men, women, children and younger children separately. Economic status
of the household and education of females are statistically significant explanatory
variables in controlling the impact of exposure to smoke on morbidity levels. I also
find that children’s education is adversely affected by the health impacts of exposure
to biomass based stove smoke.