Rural Poverty, Income Shocks, And Land Management: An Analysis Of The Linkages In El Salvador
Data collected in surveys of more than 700 Salvadoran households carried out in 1996 and 1998 are used in an econometric analysis of linkages between land and labor use. Particular emphasis is offered on how poor households allocated labor resources in response to the El Nino weather phenomenon of 1997. Implications for resource conservation are offered.
Learning and Technology Adoption Impacts on Farmer’s Productivity
The integrated farmer field school program was implemented to empowered farmers with scientific knowledge, skills, positive attitudes and suitable technology. However, the impact of this program on farmer’s productivity has not been comprehensively investigated. Thus, this research examines the farmers’ participation in the learning process, technology transfer, adoption of new technology and productivity. This study was conducted in Kabupaten Maros, South Sulawesi, and the total sample size was 168 farmers who have participated in this program. A survey research questionnaire was distributed randomly to the participants from four selected villages after the program. Descriptive and multiple regression analyses were carried out on the data. The results showed that the integrated farmer field school program improved the farmers’ knowledge and that extension services were effective in transferring technological expertise. The empirical evidence showed that farmers who participate in the program have significantly increased in paddy productivity. This implies that program is useful to fill gaps in local knowledge with the dissemination and adoption of new agriculture technology. To further improve the farmer field school program, appropriate technological innovations should be identified and issues relating to farm quality and the availability of credits to enable farmers to purchase agricultural equipment and supplies should be addressed. DOI: 10.5901/mjss.2015.v6n4s3p126
A new stochastic factor model: General explicit solutions
We present a new stochastic factor model. In doing so, we provide general, explicit solutions to the portfolio optimization problem.