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Crop Management Decisions under Carbon Pricing in Ontario: A Stochastic Dynamic Programming Approach

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dc.contributor.advisor Weersink, Alfons Schuurman, Daniel 2021-08-27T20:18:41Z 2021-08-27T20:18:41Z 2021-08 2021-08-19
dc.description.abstract Efficient cost-share programs and carbon-offset markets seek to incentivize farmers to adjust their crop management practices. The abatement cost of emissions depends on farmers’ private value of the public goods supplied with soil conservation. Increasing diversity in cropping rotations with legume cover crops and winter wheat sequesters greater carbon than simple corn-soy rotations yet increases nitrous oxide emissions. Due to the role of weather-dependent uncertainty in management decisions and ecological patterns, we use a stochastic dynamic programming model to find the optimal crop choices and cover crop use in the presence of a carbon price. Our findings provide insight into the abatement costs of emissions with soil conservation practices and incentive pricing given heterogeneity in farmer and field characteristic, the inter-related nature of externalities, and weather uncertainty. en_US
dc.language.iso en en_US
dc.publisher University of Guelph en_US
dc.subject dynamic programming en_US
dc.subject soil health en_US
dc.subject environmental policy en_US
dc.subject carbon markets en_US
dc.subject soil economics en_US
dc.subject stochastic en_US
dc.title Crop Management Decisions under Carbon Pricing in Ontario: A Stochastic Dynamic Programming Approach en_US
dc.type Thesis en_US Food, Agriculture and Resource Economics en_US Master of Science en_US Department of Food, Agricultural and Resource Economics en_US
dc.rights.license All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated. University of Guelph en_US

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