Billions of dollars flow into low-income countries each year to help alleviate poverty. Assessing the effectiveness of these dollars is necessary to measure program success and to allocate such funds among competing projects. This study measures the impact of the first phase of the Cocoa...

Billions of dollars flow into low-income countries each year to help alleviate poverty. Assessing the effectiveness of these dollars is necessary to measure program success and to allocate such funds among competing projects. This study measures the impact of the first phase of the Cocoa...

Researchers and practitioners of precision agricultural technology have worked to overcome adoption, cost, and environmental obstacles since its introduction. The next gap in the adoption continuum of profitable precision agricultural technologies is data and data use, the so-called Big Data....

This study employed a probit model to identify the factors that influence the willingness of farmers in northern Ghana to adopt improved peanut varieties. A cross-sectional data of 206 peanut farmers from the Tamale Metropolitan, Tolon-Kumbungu and Savelugu-Nanton districts in the northern...

We assessed the food security situation in Bangladesh based on 2011-2012 Bangladesh Integrated Household Survey data using two commonly measured indicators: Food Consumption Score (FCS) and Household Hunger Scale (HHS). Results obtained from ordered probit regression models indicated that...

This research evaluates the effects of the key changes that took place in the design of Class III milk pricing within Federal Milk Marketing Orders (FMMOs) on milk price behavior and dairy farm profitability over three milk pricing regimes: Minnesota-Wisconsin price series (1960s – 1995),...

This study evaluates factors affecting the participation of small socially disadvantaged producers in federal and state cost-share programs. Data were collected from a survey of 100 producers in 21 Kentucky counties. Results suggest education, age, and farm size had significant influence on...

We analyze the factors influencing farmer’s diversification decisions while taking into account the simultaneous decision making. Using a national data on farm-level in the US and a multivariate analysis, our study suggests that agricultural, structural, environmental, and income...