Scrutinizing the impact of policy instruments on adoption of agricultural conservation practices using Bayesian expert models

Abstract Policy instruments—such as regulation, financial incentives, and agricultural extension—are commonly applied by governments to promote sustainable agricultural practices and tackle ecosystem degradation. Despite substantial investment, little data are available to gauge the impact of evolvi...

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Main Authors: Angela J Dean, Rachel Eberhard, Umberto Baresi, Anthea Coggan, Felicity Deane, Evan Hamman, Kate J. Helmstedt, Barton Loechel, Diane Jarvis, Helen Mayfield, Lillian Stevens, Bruce Taylor, Karen Vella
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:Conservation Letters
Subjects:
Online Access:https://doi.org/10.1111/conl.12988
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author Angela J Dean
Rachel Eberhard
Umberto Baresi
Anthea Coggan
Felicity Deane
Evan Hamman
Kate J. Helmstedt
Barton Loechel
Diane Jarvis
Helen Mayfield
Lillian Stevens
Bruce Taylor
Karen Vella
author_facet Angela J Dean
Rachel Eberhard
Umberto Baresi
Anthea Coggan
Felicity Deane
Evan Hamman
Kate J. Helmstedt
Barton Loechel
Diane Jarvis
Helen Mayfield
Lillian Stevens
Bruce Taylor
Karen Vella
author_sort Angela J Dean
collection DOAJ
description Abstract Policy instruments—such as regulation, financial incentives, and agricultural extension—are commonly applied by governments to promote sustainable agricultural practices and tackle ecosystem degradation. Despite substantial investment, little data are available to gauge the impact of evolving policy mixes. We constructed a Bayesian network model to explore relationships between policy instruments, contextual factors, and adoption. Applying a series of scenarios, we present examples of how different instruments influence adoption and how their effectiveness is shaped by contextual factors. Scenarios highlight that the effect of policy instruments is often modest, and constrained by diverse practice and population characteristics. These findings allow us to reflect on the role of policy instruments, and the conditions necessary to support practice change. For example, our findings raise questions about the role of financial benefits versus financial capacity, and highlight the potential importance of concepts such as mental bandwidth in shaping both motivation and capacity to adopt.
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spelling doaj.art-9b51181a03c8486d8bdc84ddc8c972642024-01-12T09:40:09ZengWileyConservation Letters1755-263X2023-11-01166n/an/a10.1111/conl.12988Scrutinizing the impact of policy instruments on adoption of agricultural conservation practices using Bayesian expert modelsAngela J Dean0Rachel Eberhard1Umberto Baresi2Anthea Coggan3Felicity Deane4Evan Hamman5Kate J. Helmstedt6Barton Loechel7Diane Jarvis8Helen Mayfield9Lillian Stevens10Bruce Taylor11Karen Vella12Centre for the Environment, School of Biology and Environmental Science Queensland University of Technology Brisbane AustraliaSchool of Architecture and Built Environmental Queensland University of Technology Brisbane AustraliaSchool of Architecture and Built Environmental Queensland University of Technology Brisbane AustraliaCommonwealth Scientific and Industrial Research Organisation Brisbane AustraliaSchool of Law Queensland University of Technology Brisbane AustraliaSchool of Law Queensland University of Technology Brisbane AustraliaSchool of Mathematical Sciences Queensland University of Technology Brisbane AustraliaCommonwealth Scientific and Industrial Research Organisation Brisbane AustraliaCollege of Business, Law and Governance James Cook University Townsville AustraliaSchool of Mathematical Sciences Queensland University of Technology Brisbane AustraliaSchool of Architecture and Built Environmental Queensland University of Technology Brisbane AustraliaCommonwealth Scientific and Industrial Research Organisation Brisbane AustraliaSchool of Architecture and Built Environmental Queensland University of Technology Brisbane AustraliaAbstract Policy instruments—such as regulation, financial incentives, and agricultural extension—are commonly applied by governments to promote sustainable agricultural practices and tackle ecosystem degradation. Despite substantial investment, little data are available to gauge the impact of evolving policy mixes. We constructed a Bayesian network model to explore relationships between policy instruments, contextual factors, and adoption. Applying a series of scenarios, we present examples of how different instruments influence adoption and how their effectiveness is shaped by contextual factors. Scenarios highlight that the effect of policy instruments is often modest, and constrained by diverse practice and population characteristics. These findings allow us to reflect on the role of policy instruments, and the conditions necessary to support practice change. For example, our findings raise questions about the role of financial benefits versus financial capacity, and highlight the potential importance of concepts such as mental bandwidth in shaping both motivation and capacity to adopt.https://doi.org/10.1111/conl.12988agricultural practicesbehavior changeextensionlivelihoodspractice adoptionregulation
spellingShingle Angela J Dean
Rachel Eberhard
Umberto Baresi
Anthea Coggan
Felicity Deane
Evan Hamman
Kate J. Helmstedt
Barton Loechel
Diane Jarvis
Helen Mayfield
Lillian Stevens
Bruce Taylor
Karen Vella
Scrutinizing the impact of policy instruments on adoption of agricultural conservation practices using Bayesian expert models
Conservation Letters
agricultural practices
behavior change
extension
livelihoods
practice adoption
regulation
title Scrutinizing the impact of policy instruments on adoption of agricultural conservation practices using Bayesian expert models
title_full Scrutinizing the impact of policy instruments on adoption of agricultural conservation practices using Bayesian expert models
title_fullStr Scrutinizing the impact of policy instruments on adoption of agricultural conservation practices using Bayesian expert models
title_full_unstemmed Scrutinizing the impact of policy instruments on adoption of agricultural conservation practices using Bayesian expert models
title_short Scrutinizing the impact of policy instruments on adoption of agricultural conservation practices using Bayesian expert models
title_sort scrutinizing the impact of policy instruments on adoption of agricultural conservation practices using bayesian expert models
topic agricultural practices
behavior change
extension
livelihoods
practice adoption
regulation
url https://doi.org/10.1111/conl.12988
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