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The analysis of household wealth dynamic remains an important methodology in the identification of poverty traps. To overcome measurement issues in survey data, livelihoods-based approaches of the dynamics of poverty are typically examined using panel regressions of a livelihoods regression on household assets and other socio-economic factors over time. In this paper, we characterise the livelihoods regression as a 'livelihoods technology', and use a latent class-technology approach to account for heterogeneity in how households generate a livelihood. We use a detailed dataset from rural India covering 213 households across 2001–2014, and control for selection issues through a Heckman Selection model. Our results are the first in the wealth dynamics literature to show that substantial heterogeneity exists in the technologies with which households generate their livelihoods. Importantly, we show that accounting for heterogeneity in household livelihoods 'technologies' more readily identifies different equilibria in wealth levels and provides previously foregone information on who is poor and why they remain poor. [ABSTRACT FROM AUTHOR]

In this paper we compare and contrast the view on poverty of lay people, who are affected by the policies, with that of academics and policy-makers. Drawing from fieldwork in a village in Kerala, India, and applying the 'participatory numbers' approach, we devise a 'local method' to identify poor households, based on the villagers' poverty criteria. The local method is then compared with the official methods used by the national and the state governments. Based on the results, we argue for the need to take into account local dimensions of poverty, in addition to objective/universal dimensions, in the design of poverty reduction programmes. Our findings also suggest that effective risk-mitigation strategies must be devised to help poor households cope with shocks and stresses as well as to prevent the vulnerable non-poor from falling into poverty. [ABSTRACT FROM AUTHOR]

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 paper focuses on the vulnerability of rural households to poverty when a negative crop shock occurs. The analysis is based on the ICRISAT panel survey of households in a semi-arid region in south India during 1975-84. Using a dynamic panel data model that takes into account effects of crop shocks, an assessment of vulnerability of different groups of households is carried out. What is somewhat surprising is that even sections of relatively affluent households are highly vulnerable to long spells of poverty when severe crop shocks occur. As such crop shocks are frequent in a harsh production environment, there must be a shift of emphasis in anti-poverty measures from meeting income shortfalls among the poor to enabling the vulnerable to protect themselves better against these shocks. [ABSTRACT FROM AUTHOR]