We theoretically examine a farmer’s coverage demand with area and individual insurance plans as either separate or integrated options. The individual and area losses are assumed to be imperfectly and positively correlated. With actuarially fair rates, the farmer will fully insure with the...

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No-till (NT) has been shown to reduce fuel, labor, and machinery costs compared to conventional-till (CT) but very few rice producers in Arkansas practice NT. The low adoption rate is most likely due to difficulties in management but also limited information on the profitability and risk of NT....

Farmland and capital are an important and rapidly expanding component of the agriculturaleconomy, and empirical evidence suggests that these assets are quasi-fixed in that adjustment costs are incurred when holdings are altered. Increased interest in the rate of return for investing in farmland...

This paper investigates the effects of network based individual social capital on the access of rural households to services. In the context of development economics, an innovative data collection approach is used to determine network based social capital. The approach originates from the field...

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This paper presents a unified treatment of the production and financial decisions available to a firm facing frictionless financial markets and a stochastic production technology under minimal assumptions on the firm's stochastic technology and objective function. The specific focus is on...

A probabilistic financial model was developed to assess the economic feasibility of energy-cane-based hydrolysis ethanol production. At an expected price of $1.97/gallon and no tax credit, the chances of a positive NPV were 70%. By slightly increasing feedstock and ethanol yields by 5 units, the...

Precision agriculture and autosteer technology are, overall, profitable investments for farmers, as previous literature has established. However, what has not been investigated is whether or not farmers perceive these technologies as such. This research postulates that cotton farmers must see...