Technology Adoption in Bangladesh

There is growing interest in learning the impacts of agricultural technologies especially in developing economies. Economic analysis may entail assessment of employment and time allocation effects of new technologies. An issue of importance in South Asia is the impacts of technological change on a specific type of occupation: rural non-farm activities. In order to fully understand these effects, the research must integrate gender differences and determine if the results would be similar irrespective of gender. An enhanced understanding of the conceptual links among high yielding variety adoption, non-farm labor supply, and gender issues is achieved by discussing the Farm Household Model. The constrained maximization which is drawn from the Farm Household Model would bring about demand functions and reduced form functions for adoption and labor supply. The reduced-form equations are estimated at the individual level for the following: adoption of HYV technology in rice cultivation, and non-farm labor supply of both adult males and females. Regression results are presented for both Ordinary least squares and Tobit estimates.

Autorentext

Melanie Victoria, born and raised in the Philippines, earned her graduate degrees from National University of Singapore, Virginia Tech, and Clemson University. She is currently working for a financial institution doing credit risk management. She is married to Jason Maupin, and they are living in San Antonio Texas.