11 pages., via online journal., Dependence of rural population on traditional fuel sources namely biomass has increased because of easy accessibility and affordability. The use of biomass fuels results in many environmental and health-related hazards. Rural households have little awareness about the ill effects of using biomass energy sources. This study investigated the patterns of rural household energy use and identified the role of information on the effects of biomasses on human health, in addition to other factors influencing households’ choices of energy sources. For this purpose, primary data from 196 households were collected from four districts of the Punjab province in Pakistan. Results showed that use of clean energy sources was limited to basic appliances and 90% of the respondents depended on biomass fuels. Estimates of the multivariate probit model showed that awareness about adverse impacts of biomass fuels as energy sources were significantly related with the choice of energy sources. Further, household head’s education level, household income, landholding, children under the age of 5 years and higher number of adult females were significantly related with the cleaner energy source choices. Distance to market increased the probability of the use of biomass energy sources. The study concluded that awareness campaigns regarding the benefits of using clean energy sources should be launched through print and electronic media while targeting rural women.
15 pages, Sustainable agricultural technologies are of great significance in fully utilizing agricultural resources and promoting agricultural production. However, the adoption rates of these technologies are often characterized as low in rural areas in China. To figure out the potential salient determinants of rice farmers’ willingness to adopt sustainable agricultural technologies, this paper, by employing the multivariate probit model and ordered probit model, particularly and firstly explores the roles of observational learning and experience-based learning through communication from parents within the household on rice farmers’ willingness to adopt these technologies. Results show that there are strong complementarities and substitutabilities between sustainable agricultural technologies that rice farmers are willing to adopt, and that observational learning and experience-based learning through communication within the household do have pronounced effects on rice farmers’ willingness to adopt some sustainable agricultural technologies and on their intensive use intentions. Therefore, while formulating policies to improve the adoption rates and adoption intensity of these technologies, relevant government agencies should take the complementarities and substitutabilities between sustainable agricultural technologies as well as observational learning and experience-based learning through communication from parents into consideration.
