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Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the...
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Producing biomass energy requires extensive land resources. In western Massachusetts, where almost 90 percent of former farmland is no longer in commercial use, we study factors that motivate landowners to grow biomass energy crops. A geographic information system model identifies a landowner...
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We collected surveys from 94 greenhouse and nursery growers in three northeastern states to examine factors influencing integrated pest management (IPM) adoption. We constructed three alternative dependent variables describing the extent of IPM adoption and employed discrete choice models to...
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