Technology of Nepal

 This dissertation contains three substantive essays applying a number of econometric models to test a number of the hypotheses using both panel and cross-section data from the Ne-pal Living Standard Surveys and time series data for commodity prices and farm yields. Summaries of these essays are presented as follows. The first paper examines factors affecting the adoption of improved seeds and in-organic fertilizers. I consider the adoptions of both these technologies as a joint decision and estimate over two repeated cross-section data from NLSSs. Both probit GMM with the moment restrictions and Linear Probability Models for period 2 (2004) combined with reduced form probit models for both periods and Tobit models were applied to con-trol for plot level, household characteristics, and other factors. In contrast, non labour income appears to increase work hours of household members. Moreover, demographic characteristics seem to be an influential factor for the allocation of household work hours, implying that higher family size leads to higher work hours, and a larger number of children leads to a reduction of work hours of females, but not of males. Educated people are also more likely to increase their work hours.






Technology of Nepal