Calibration of shadow values in constrained optimisation models of agricultural supply

© 2017 Oxford University Press and Foundation for the European Review of Agricultural Economics. This paper proposes a new information-based method to calibrate the shadow values of constraints in Positive Mathematical Programming models of agricultural supply. Shadow values are chosen so as to mini...

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Main Authors: Garnache, C., Mérel, P., Howitt, R., Lee, Juhwan
Format: Journal Article
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/75589
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author Garnache, C.
Mérel, P.
Howitt, R.
Lee, Juhwan
author_facet Garnache, C.
Mérel, P.
Howitt, R.
Lee, Juhwan
author_sort Garnache, C.
building Curtin Institutional Repository
collection Online Access
description © 2017 Oxford University Press and Foundation for the European Review of Agricultural Economics. This paper proposes a new information-based method to calibrate the shadow values of constraints in Positive Mathematical Programming models of agricultural supply. Shadow values are chosen so as to minimise model deviation from observed activity- and input-specific expenditures, enhancing the informational basis of the calibrated model. We provide an application to nitrogen policy in California using an agronomically and economically calibrated regionalised model. Regional shadow values of water are generally much higher than those suggested by the traditional method of Howitt, R. E. (1995b. American Journal of Agricultural Economics 77(2): 329-342). The implied statewide elasticity of demand for nitrogen is minimally affected by the choice of shadow values, however predicted environmental outcomes differ as this choice affects the distribution of nitrogen across regions and crops.
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publishDate 2017
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spelling curtin-20.500.11937-755892019-05-29T07:16:51Z Calibration of shadow values in constrained optimisation models of agricultural supply Garnache, C. Mérel, P. Howitt, R. Lee, Juhwan © 2017 Oxford University Press and Foundation for the European Review of Agricultural Economics. This paper proposes a new information-based method to calibrate the shadow values of constraints in Positive Mathematical Programming models of agricultural supply. Shadow values are chosen so as to minimise model deviation from observed activity- and input-specific expenditures, enhancing the informational basis of the calibrated model. We provide an application to nitrogen policy in California using an agronomically and economically calibrated regionalised model. Regional shadow values of water are generally much higher than those suggested by the traditional method of Howitt, R. E. (1995b. American Journal of Agricultural Economics 77(2): 329-342). The implied statewide elasticity of demand for nitrogen is minimally affected by the choice of shadow values, however predicted environmental outcomes differ as this choice affects the distribution of nitrogen across regions and crops. 2017 Journal Article http://hdl.handle.net/20.500.11937/75589 10.1093/erae/jbx005 restricted
spellingShingle Garnache, C.
Mérel, P.
Howitt, R.
Lee, Juhwan
Calibration of shadow values in constrained optimisation models of agricultural supply
title Calibration of shadow values in constrained optimisation models of agricultural supply
title_full Calibration of shadow values in constrained optimisation models of agricultural supply
title_fullStr Calibration of shadow values in constrained optimisation models of agricultural supply
title_full_unstemmed Calibration of shadow values in constrained optimisation models of agricultural supply
title_short Calibration of shadow values in constrained optimisation models of agricultural supply
title_sort calibration of shadow values in constrained optimisation models of agricultural supply
url http://hdl.handle.net/20.500.11937/75589