Larson, James A. (author), Roberts, Roland K. (author), English, Burton C. (author), Marra, Michele C. (author), Reeves, Jeanne M. (author), Cochran, Rebecca L. (author), Goodman, W. Robert (author), Larkin, Sherry L. (author), Martin, Steven W. (author), and Shurley, W. Donald (author)
Format:
Journal article
Publication Date:
2004
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C24983
16 pages, We use a sales database of farmers market vendors in the Washington, D.C., area to estimate how first half 2020 sales were impacted by the coronavirus (COVID-19) outbreak. We use 2019 data as a counterfactual for sales that would have occurred in 2020 in the absence of COVID-19. For neighborhood weekend markets that were able to remain open during the pandemic, the change in 2020 average sales between the winter and spring is between 75% and 79% lower than in 2019. Other farmers markets, particularly weekday markets in business districts, experienced delayed openings or were closed for the entire year.
This paper examines factors influencing the adoption of improved maize seeds and the use of inorganic fertilizer for maize production by farmers in the intermediate and lowland zones of Tanzania. The results indicate that availability of extention services, on -farm field trials, variety characteristics and rainfall were the most important factors that influcented the extent of adopting improved maize seeds and the use of inorganic fertilizer for maize production. Farmers preferred those varieties which minimize field loss rather than maximizing yields. Future research and extension policies should empahsize farmer participation in the research process and on-farm field trials for varietal evaluation and demonstration purposes.
Evaluation of the factors influencing the adoption of agricultural and natural resource management technologies among small farmers in developing countries have been mostly limited to qualitative discussions or simple descriptive statistics resulting in superficial and inconclusive findings. This study introduces the use of Poisson Count Regressions as a statistically appropriate procedure to analyze certain common types of adoption data. It uses them to assess the impact of key socio-economic, bio-physical, and institutional factors on the adoption of integrated pest management, agroforestry, and soil conservation technologies among small farmers in three Central American countries: Costa Rica, Panama, and El Salvador
25 pages, Using linked data from multiple years of the U.S. Census of Agriculture, this study identifies farm and operator characteristics associated with beginning farm survival, growth, and success. Success is defined as continuing in business for 5 years without a decline in farm real estate asset value. The results indicate which types of beginning farms and farmers are likely to survive and grow—information which could be useful in targeting program resources. By identifying policy-amenable variables that correlate with both farm survival and business expansion, the results also suggest possible mechanisms for increasing the success of beginning farms.
