A Bayesian Approach to Analyzing the Economic Costs of Environmental Regulation in U.S. Dairy Farming
Eric Njuki and
Boris B. Bravo-Ureta
No 290098, Working Paper series from University of Connecticut, Charles J. Zwick Center for Food and Resource Policy
This paper develops a comprehensive pollution index based on EPA (2009) methodologies, which contrasts with previous studies that rely on partial measures based only on surplus nitrogen stemming from the over-application of fertilizer. Second, it uses a directional output distance function on a Bayesian framework, to generate empirical estimates of the economic impact associated with hypothetical environmental regulations in the dairy sector. Results indicate that on average, values of foregone output following regulatory intervention lead to revenue losses ranging from 1.8% to 13.1% across different regions between 1978 and 2007.
Keywords: Demand and Price Analysis; Livestock Production/Industries; Research Methods/ Statistical Methods (search for similar items in EconPapers)
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Working Paper: A Bayesian Approach to Analyzing the Economic Costs of Environmental Regulation in U.S. Dairy Farming (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:ucozwp:290098
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