Socio-Economic Determinants of Adoption of Bio-Fortified Cassava Varieties among Farmers in Anambra Agricultural Zone of Anambra State, Nigeria (Published)
The study analyzed the socio-economic determinants of adoption of bio-fortified Cassava among cassava farmers in Anambra State, Nigeria. Specifically, the study examined the socio-economic characteristics of the farmers, types and varieties of yellow cassava obtainable in the study area and the influence of socio-economic factors on the adoption of the bio-fortified cassava among the farmers. Multi-stage, purposive and simple random sampling techniques were used to select one hundred and twenty (120) Cassava farmers used for the Study. Data for the study was collected by administration of pre-tested questionnaire to the respondent farmers and analyzed using both descriptive (frequencies and means) and inferential statistics (maximum likelihood probit regression model). Among other results, the probit regression analysis of factors that influence the adoption of bio-fortified cassava among farmers reveals that education (3.1160) and access to planting material (5.0162) were positively significant at 1%, farm size( 1.1114) at 10% and membership of cooperative society (1.3424) and extension contact (3.134) were significant at 5% level. This implies that increases in these factors will lead to more adoption of bio-fortified cassava among the farmers in the study area. Based on the findings, the researchers recommend among others that government should endeavour to increase the multiplication of the planting material, make it available to farmers for production and create a sustainable market out let if optimum production is desired.
Rural women farmers play significant role in both agricultural production and home management. Despite these roles, their saving capacity seems to have been empirically documented in Ebonyi State Nigeria. A multistage random sampling technique involving three stages was employed in the section of 180 respondents. Results showed that at 1% level of significant; household size, farm cash income, farm output and distance to nearest market were the major determinants of saving capacity. The women mainly save in non-cash way which involved saving through investment in livestock production and storage of farm produce. However, minority of the women that practice cash saving, safe keep their money in the house and lending of money to fellow needy farmers. Fear of bank failure, inadequate income due to lack of access to productive resources and low returns, high consumption rate out of available income, and bureaucracy involved in opening bank account were identified as the major constraints to rural women farmers saving capacity. The study based on the finding recommended the creation of enabling socio-economic environment that will increase the rural women farm income through market creation for farm output and subsidy in the price of farm input. Again, the rural financial intermediaries should encourage farmers to save by raising the interest paid on saving; this will discourage farmers from saving in kind or hoarding cash in the house which usually lead to loss of wealth in case of thefts, burglaries. Finally, Government and banks should create channels through which farmers especially rural women farmers can be educated on saving modalities; this will not only encourage investment and consequently their saving capacity.
Determinants of Agricultural Sustainability in Southeast Nigeria -The Climate Change Debacle (Published)
The renewed quest for sustainable economic development which is synonymous with sustainable agricultural development and hence agricultural sustainability impelled this study titled “Determinants of Agricultural Sustainability in Southeast Nigeria”. Southeast Nigeria is located within latitudes 5oN to 6o N of the equator and longitudes 6oE and 8oE of the Greenwich (prime) meridian (M.S corporation, 2009). Multi-stage sampling technique was used to select a sample of 312 cassava based food crop farmers from whom data were collected using structured and validated questionnaire. Data bothering on the respondents’ socio-economic characteristics, the type, quantity, and sources of inputs used and output produced were collected. These were analysed with the use of descriptive statistical tools and ordinary least square multiple regression analytical tools. Result showed that factors such as farm size, annual income, household size, level of education, and climate change are significantly and inversely proportional to sustainability level of farmers, while labour cost was significantly but directly proportional to agricultural sustainability. It was concluded that, efforts should be made at both micro and macro levels of government to improve on the mitigation and adaptive strategies of climate change available to farmers by making such more affordable, available and user friendly through extension education on the appropriate uses of such technologies in a more sustainable manner.