The study analysed the contributions of species of NWFPs to farm household’s livelihood and poverty reduction. One hundred and twenty respondents were selected through multistage sampling procedure. Frequency, mean and likert scale and probit model were used for the analysis. The results indicated that the majority were male (63.33 %) and had mean age of 56 years.

This study investigated the effects of relative pricing of alternative cooking energy sources on their substitution. The study was conducted in Enugu State Nigeria using primary data collected from two hundred and four households from rural and urban areas of the state, using structured questionnaires. The information collected were pattern and levels of energy use, relative pricing of alternative energies and energy substitution pattern. Data were analyzed using multiple regression analysis and Chow test.

This chapter aims to understand the link between economic growth and different forms of capital for the period 2001–2011 using comprehensive wealth as an indicator. It discusses some perspective on growth and development in India at the state level. The chapter also discusses the concept of measurement of produced, natural and human capital, and provides the state-level analysis. It considers forest capital and mineral assets – under the categories renewable and non-renewable natural capital. The biggest challenge in estimating changes in wealth arises from establishing shadow prices.

Abstract

Measures of social difference such as the Ethnolinguistic Fractionalization Index (ELF) and Polarization are commonly used proxies for community heterogeneity. They are used to “explain” collective outcomes ranging from voluntary contributions in elementary schools to civil wars. This essay reviews this literature in the face of new research on identity and collective outcomes. I argue that methods of social classification often seriously mis-measure identity and difference and that poverty rather than heterogeneity is often the source of community failures.

In contrast with global trends, India has witnessed a secular decline in women’s employment rates over the past few decades. We investigate this decline in rural areas, where the majority of Indian women reside. Using parametric and semi-parametric decomposition techniques, we show that changes in individual and household attributes fully account for the fall in women’s labor force participation in 1987–1999 and account for more than half of the decline in 1999–2011.