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In rural and low-income urban households, energy is 'women's business': women are responsible for providing energy, and use it for domestic chores and productive activities. However, the poor quality fuels many women use contribute to their time poverty, ill health, and level of drudgery. Despite these negative impacts, energy policy remains gender-blind. This can be attributed to the invisibility of women's needs to energy planners, stemming from a lack of appropriate gender-analysis tools to meet the particular data requirements of the energy sector. This article analyses why standard gender tools do not provide appropriate gender-disaggregated energy data, and describes a set of tools that have been developed for that purpose. The paper concludes with an evaluation of recent experiences testing the tools in Pakistan, India, and Nepal. [ABSTRACT FROM AUTHOR]

This study analyzes the effect of demographic characteristics on household finance in Pakistan. Using Household Integrated Economic Survey data and applying the proportional sampling technique, we determine that household size, secondary and tertiary education, gender, size of income, urban area, occupation, and province-wise residency are the important predictors of household finance. We split our dataset controlling for household size, age, and income. This study identifies a small variation in the determinants of household finance when examining the behavior of small- and large-sized households, young and mature households, and low- and high-income households. We compare our results with previous literature and report that the behavior of households varies in different countries due to different demographic characteristics. Hence, the behavior households vary across countries; however, there is no specific factor that varies as we move from country to country. [ABSTRACT FROM AUTHOR]