20 pages, via online journal, Purpose: This paper examines the factors affecting farmers’ participation in extension programs and adoption of improved seed varieties in the hills of rural Nepal.
Methodology/approach: Cross-sectional farm-level data were collected during July and August 2014. A sample of 198 farm households was selected for interviewing by using a multistage, random sampling technique. We employed a logistic regression model, frequency counts, and percentages to analyze the data.
Findings: Adoption decisions were mainly affected by extension-related variables – training, membership in a farmers’ group, and off-farm employment. Extension participation was found to be influenced by socioeconomic variables – age, education, household size, and distance to the extension office. Our findings reveal that distance to the extension office and off-farm employment limited participation in extension activities and adoption, respectively, and education, household size, and group membership stimulated participation in extension programs.
Practical implications: Recognition of the determinants of farmers’ participation in extension services and innovation adoption ensures that targeted extension approaches are used to address these factors in various stages of planning, delivering, and evaluating extension programs.
Theoretical implications: Innovation adoption follows a systematic decision-making process. Although personal characteristics are important, widespread use of new technology requires a conducive social and institutional context. Because contexts vary by country or region, extension services providers should create institutions favorable for innovation adoption within a social system.
Originality/value: This research is original and highly valuable to identify the factors associated with extension participation and innovation adoption in the rural hilly region of Nepal. This also provides a new direction to operationalize farmer-oriented policies of agricultural extension and so can be helpful for agricultural policy-makers in devising programs of extension services.
26 pages, via online journal, Purpose
This paper is concerned with the impact of the University of California Cooperative Extension (UCCE) on regional productivity in California agriculture. UCCE is responsible for agricultural research and development (R&D), and dissemination of agricultural know-how in the state.
Method/methodology/approach
We estimate the effect of UCCE on county-level agricultural productivity for the years 1992–2012, using an agricultural production function with measures of agricultural extension inputs alongside the traditional agricultural production inputs at the county level.
Findings
Results show a positive impact of UCCE through its stock of depreciated expenditures. For an additional dollar spent on UCCE expenditures stock, agricultural productivity, measured as value of sales at the county level, improves by $1–9 per acre of farmland for knowledge/expenditure depreciation rates between 0 and 20 percent.
Practical implications
Results suggest that county differences in productivity could affect extension expenditures. The high level of contribution found in the results would be especially useful during a period of political pressure to reduce public spending for agricultural extension in the state.
Theoretical implications
Theoretical implications suggest that agricultural systems with higher level of knowledge depreciation are associated with higher resulting incremental agricultural productivity per an additional dollar spent on UCCE expenditures stock. This suggests that extension policy should consider also the agricultural system (crop mix).
Originality
We use original budgetary data that was collected especially for answering our research questions from archives of UCCE. We estimate impact of extension at the county level in California, on the value of agricultural sales (of crops and livestock). We developed an extension expenditure stock, using current and past expenditures data, and different depreciation rates, following the theory of Knowledge Production Function.
