Bivariate MIMIC Analysis of Pasture Management and Prescribed Grazing Practices Used by Beef Cattle Producers

This study applies a bivariate Multiple IndicatorÐMultiple Causation model to examine farm and operator characteristics associated with the likelihood of using pasture management (PM) and prescribed grazing (PGR) practices. Data are from a survey of cattle operations. Most commonly used practices in...

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Main Authors: Kristen Holley, Kimberley L. Jensen, Dayton M. Lambert, Christopher D. Clark
Format: Article
Language:English
Published: Western Agricultural Economics Association 2020-01-01
Series:Journal of Agricultural and Resource Economics
Subjects:
Online Access:https://ageconsearch.umn.edu/record/298434
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author Kristen Holley
Kimberley L. Jensen
Dayton M. Lambert
Christopher D. Clark
author_facet Kristen Holley
Kimberley L. Jensen
Dayton M. Lambert
Christopher D. Clark
author_sort Kristen Holley
collection DOAJ
description This study applies a bivariate Multiple IndicatorÐMultiple Causation model to examine farm and operator characteristics associated with the likelihood of using pasture management (PM) and prescribed grazing (PGR) practices. Data are from a survey of cattle operations. Most commonly used practices included adjusting livestock and pasture fertilization. Least used were geotextiles in trafficked areas and buffering sensitive areas. Use of PM practices was income sensitive. Land stewardship and government conservation incentive views influenced PGR. Results suggest complementarities between most PGR and PM practices. However, those with higher opportunity costs and off-farm benefits (e.g., stream crossings) are not complementary with other practices.
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spelling doaj.art-b94c0a7d5eb045aa8872e3c19be0b9e72022-12-22T00:01:16ZengWestern Agricultural Economics AssociationJournal of Agricultural and Resource Economics1068-55022327-82852020-01-01451567710.22004/ag.econ.298434298434Bivariate MIMIC Analysis of Pasture Management and Prescribed Grazing Practices Used by Beef Cattle ProducersKristen HolleyKimberley L. JensenDayton M. LambertChristopher D. ClarkThis study applies a bivariate Multiple IndicatorÐMultiple Causation model to examine farm and operator characteristics associated with the likelihood of using pasture management (PM) and prescribed grazing (PGR) practices. Data are from a survey of cattle operations. Most commonly used practices included adjusting livestock and pasture fertilization. Least used were geotextiles in trafficked areas and buffering sensitive areas. Use of PM practices was income sensitive. Land stewardship and government conservation incentive views influenced PGR. Results suggest complementarities between most PGR and PM practices. However, those with higher opportunity costs and off-farm benefits (e.g., stream crossings) are not complementary with other practices.https://ageconsearch.umn.edu/record/298434bivariate mimicpasture managementprescribed grazingu.s. cattle producers
spellingShingle Kristen Holley
Kimberley L. Jensen
Dayton M. Lambert
Christopher D. Clark
Bivariate MIMIC Analysis of Pasture Management and Prescribed Grazing Practices Used by Beef Cattle Producers
Journal of Agricultural and Resource Economics
bivariate mimic
pasture management
prescribed grazing
u.s. cattle producers
title Bivariate MIMIC Analysis of Pasture Management and Prescribed Grazing Practices Used by Beef Cattle Producers
title_full Bivariate MIMIC Analysis of Pasture Management and Prescribed Grazing Practices Used by Beef Cattle Producers
title_fullStr Bivariate MIMIC Analysis of Pasture Management and Prescribed Grazing Practices Used by Beef Cattle Producers
title_full_unstemmed Bivariate MIMIC Analysis of Pasture Management and Prescribed Grazing Practices Used by Beef Cattle Producers
title_short Bivariate MIMIC Analysis of Pasture Management and Prescribed Grazing Practices Used by Beef Cattle Producers
title_sort bivariate mimic analysis of pasture management and prescribed grazing practices used by beef cattle producers
topic bivariate mimic
pasture management
prescribed grazing
u.s. cattle producers
url https://ageconsearch.umn.edu/record/298434
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