Replication Data for: Understanding Policy Instrument Preferences under Conflicting Beliefs and Uncertainty (doi:10.7910/DVN/MVVXPF)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Replication Data for: Understanding Policy Instrument Preferences under Conflicting Beliefs and Uncertainty

doi:10.7910/DVN/MVVXPF

Harvard Dataverse

2025-05-08

1

Wiget, Milena; Lienert, Judit; Ingold, Karin, 2025, "Replication Data for: Understanding Policy Instrument Preferences under Conflicting Beliefs and Uncertainty", https://doi.org/10.7910/DVN/MVVXPF, Harvard Dataverse, V1, UNF:6:lfoMCm0B9S3KvcLHdiYxCw== [fileUNF]

Replication Data for: Understanding Policy Instrument Preferences under Conflicting Beliefs and Uncertainty

doi:10.7910/DVN/MVVXPF

Wiget, Milena (Eawag: Swiss Federal Institute of Aquatic Science and Technology, University of Bern)

Lienert, Judit (Eawag: Swiss Federal Institute of Aquatic Science and Technology)

Ingold, Karin (University of Bern; Eawag: Swiss Federal Institute of Aquatic Science and Technology)

Harvard Dataverse

Wiget, Milena

Wiget, Milena

2025-04-25

https://doi.org/10.7910/DVN/MVVXPF

Social Sciences, Advocacy Coalition Framework (ACF), Multi-attribute Utility Theory (MAUT), Policy Beliefs

Anticipating policy instrument preferences can be an important step in policy design to address pressing sustainability problems. But studying preferences for policy instruments is a difficult task because sustainability problems involve a non-negligible degree of trade-offs and uncertainty. We therefore study the role of actors' underlying ideologies (policy core beliefs) and risk attitudes in forming their preferences for different instruments. Combining the advocacy coalition framework with multi-attribute utility theory, both ideologies and attitudes toward uncertain policy consequences can influence instrument preferences. So far, policy studies literature has paid little attention to trade-offs between policy core beliefs or risk attitudes. Using Bayesian regression models on data from actors in Swiss pesticide risk reduction policy, we found that attitudes toward trade-offs and risk are indeed relevant to explain preferences for different regulatory and market-based instruments addressing agricultural pesticide use. Therefore, when designing policies for sustainability problems, considering the relative importance of policy core beliefs for different actors can help to find effective and broadly supported solutions. In addition, risk attitudes should be considered when policy design involves more coercive and stimulative policy instruments.

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

• Number of cases: 360

• No. of variables per record: 14

• Type of File: text/tab-separated-values

UNF:6:s2mb9GdqQxtVoNj0zPVLmQ==

Data for the Bayesian ordinal regression models

• Number of cases: 24

• No. of variables per record: 17

• Type of File: text/tab-separated-values

UNF:6:EUNcHAHe1iP9Ha87Tcg2bQ==

Data to visualize the variance in the importance of policy core beliefs

• id - id
• support - support
• policy - policy
• instrument - instrument
• Var1_Health - Var1_Health
• Var1_Environment - Var1_Environment
• Var1_AgroEconomics - Var1_AgroEconomics
• Var1_SocioPolitics - Var1_SocioPolitics
• RA_Health - RA_Health
• RA_Environment - RA_Environment
• RA_AgroEconomics - RA_AgroEconomics
• RA_SocioPolitics - RA_SocioPolitics
• CPSI - CPSI
• type - type
• id - id
• Q1_ApplicantsHealth - Q1_ApplicantsHealth
• Q1_ConsumersHealth - Q1_ConsumersHealth
• Q1_Workload - Q1_Workload
• Q1_NonTargetOrganisms - Q1_NonTargetOrganisms
• Q1_SoilProtection - Q1_SoilProtection
• Q1_ClimateProtection - Q1_ClimateProtection
• Q1_WaterProtection - Q1_WaterProtection
• Q1_FarmersAutonomy - Q1_FarmersAutonomy
• Q1_FoodSecurity - Q1_FoodSecurity
• Q1_FoodCosts - Q1_FoodCosts
• Q1_EconomicViability - Q1_EconomicViability
• Q1_CostFairness - Q1_CostFairness
• Q1_Coherence - Q1_Coherence
• Q1_InnovationPotential - Q1_InnovationPotential
• Q1_JobSecurtiy - Q1_JobSecurtiy
• Q1_LandscapeQuality - Q1_LandscapeQuality

f11116024 Location:

Summary Statistics: Mean 180.5; Min. 1.0; Max. 360.0; StDev 104.06728592598157; Valid 360.0

Variable Format: numeric

Notes: UNF:6:yIMLJzPI429OA+eHyWlUig==

f11116024 Location:

Summary Statistics: Valid 360.0; Mean 4.0694444444444455; Max. 5.0; Min. 1.0; StDev 1.035933619915654;

Variable Format: numeric

Notes: UNF:6:5ALbq94pdbXd95J8tNCNMQ==

f11116024 Location:

Variable Format: character

Notes: UNF:6:KE7/aH1hl3QsPoHmrRrTpg==

f11116024 Location:

Variable Format: character

Notes: UNF:6:IbjUwi/MntpTmnK4NZyb1g==

f11116024 Location:

Summary Statistics: Min. 0.007352941; Max. 0.117647059; Valid 360.0; Mean 0.05147058825; StDev 0.03060002384691418;

Variable Format: numeric

Notes: UNF:6:veKuJVKDk0ziTcJghAl9Sg==

f11116024 Location:

Summary Statistics: Max. 0.117647059; Min. 0.029411765; Valid 360.0; StDev 0.02614099934922481; Mean 0.08823529408333333;

Variable Format: numeric

Notes: UNF:6:T1mqgfKohL0l7iQ8fEvEcg==

f11116024 Location:

Summary Statistics: Mean 0.06632965695833333; Max. 0.117647059; Min. 0.014705882; Valid 360.0; StDev 0.035143883930363266

Variable Format: numeric

Notes: UNF:6:L8uloNjRUxlQbFS2qfNP/Q==

f11116024 Location:

Summary Statistics: Min. 0.007352941; StDev 0.029861721219506573; Max. 0.110294118; Mean 0.05897671579166667; Valid 360.0;

Variable Format: numeric

Notes: UNF:6:IlGZnNX+pMSRXXypiB4G1w==

f11116024 Location:

Summary Statistics: Valid 360.0; StDev 0.1422437587666962; Min. 0.25; Mean 0.445; Max. 0.625

Variable Format: numeric

Notes: UNF:6:I8+mXl7rvKS7h3piCnILOQ==

f11116024 Location:

Summary Statistics: StDev 0.22689305381408362; Max. 0.67; Min. 0.125; Valid 360.0; Mean 0.4502083333333334;

Variable Format: numeric

Notes: UNF:6:3CknuZhyYSUrqU41JAy/Fw==

f11116024 Location:

Summary Statistics: StDev 0.13975502716676935; Mean 0.239375; Valid 360.0; Max. 0.46; Min. 0.08;

Variable Format: numeric

Notes: UNF:6:JmHlwJbKwW2kbedpbOBIJw==

f11116024 Location:

Summary Statistics: Min. 0.25; Max. 0.8; Mean 0.4510416666666667; Valid 360.0; StDev 0.19317378824566525

Variable Format: numeric

Notes: UNF:6:WCalwt3OwqfA3s+C1zXEOA==

f11116024 Location:

Summary Statistics: Valid 360.0; Max. 1.0; StDev 0.138715074756324; Mean 0.7725830222222223; Min. 0.194444444

Variable Format: numeric

Notes: UNF:6:o2MQm713cHp+1leYuIIMHA==

f11116024 Location:

Variable Format: character

Notes: UNF:6:KrpIgpS4iWKA1fzsm6tR4g==

f11116023 Location:

Summary Statistics: Min. 1.0; Mean 12.5; Valid 24.0; StDev 7.0710678118654755; Max. 24.0;

Variable Format: numeric

Notes: UNF:6:5HqpS8Ml+7CQkgH7j/iZJA==

f11116023 Location:

Summary Statistics: Max. 0.117647059; Mean 0.083792892125; Min. 0.040441176; StDev 0.024071129037104295; Valid 24.0;

Variable Format: numeric

Notes: UNF:6:dOxc6VsPEtb2YmUwqfOp4Q==

f11116023 Location:

Summary Statistics: Max. 0.117647059; Mean 0.08716299016666666; Valid 24.0; Min. 0.025735294; StDev 0.026917912671463054

Variable Format: numeric

Notes: UNF:6:6AtaDeaAwg7CkVafg59cqA==

f11116023 Location:

Summary Statistics: StDev 0.031214719861730886; Mean 0.051470588250000004; Max. 0.117647059; Valid 24.0; Min. 0.007352941

Variable Format: numeric

Notes: UNF:6:+cbYcXqNSWsuQwGNLkdnmw==

f11116023 Location:

Summary Statistics: Min. 0.029411765; Mean 0.08823529408333333; StDev 0.0266661220812751; Valid 24.0; Max. 0.117647059;

Variable Format: numeric

Notes: UNF:6:RlqzF2AsmAdPS4tUe4rtbw==

f11116023 Location:

Summary Statistics: StDev 0.01842958011343965; Valid 24.0; Mean 0.0862438725; Max. 0.113970588; Min. 0.047794118

Variable Format: numeric

Notes: UNF:6:qrp9IY/Fb4YwtMMnaXioPg==

f11116023 Location:

Summary Statistics: Max. 0.110294118; Valid 24.0; Min. 0.025735294; Mean 0.07981004904166666; StDev 0.02420503315133648;

Variable Format: numeric

Notes: UNF:6:DcQP3rrt61dFwthy1NHgoQ==

f11116023 Location:

Summary Statistics: Max. 0.117647059; StDev 0.025447771950793098; Valid 24.0; Min. 0.029411765; Mean 0.09482230404166667

Variable Format: numeric

Notes: UNF:6:07YLISrVUadxvq/uAJu7WQ==

f11116023 Location:

Summary Statistics: Valid 24.0; Max. 0.102941176; Min. 0.007352941; Mean 0.04564950983333334; StDev 0.02988581887462984

Variable Format: numeric

Notes: UNF:6:qksyT/Xfa2LQSS/7YbriXQ==

f11116023 Location:

Summary Statistics: Max. 0.117647059; Mean 0.06142769608333333; Valid 24.0; StDev 0.02777746771126132; Min. 0.025735294

Variable Format: numeric

Notes: UNF:6:gZafEBkFw1ExmxV8dLmHIA==

f11116023 Location:

Summary Statistics: Max. 0.099264706; Mean 0.03431372545833333; Min. 0.007352941; Valid 24.0; StDev 0.02567051280109222

Variable Format: numeric

Notes: UNF:6:HSwXcDP0ggr9TnZAS25ZIQ==

f11116023 Location:

Summary Statistics: StDev 0.03584985741277788; Min. 0.014705882; Valid 24.0; Max. 0.117647059; Mean 0.06632965695833333

Variable Format: numeric

Notes: UNF:6:Cwx6BE/ACoQTrHkX+nXp9g==

f11116023 Location:

Summary Statistics: StDev 0.025448253174556054; Mean 0.056985294208333336; Valid 24.0; Max. 0.095588235; Min. 0.007352941

Variable Format: numeric

Notes: UNF:6:SaKUz/eHvpeGA7S+f2Kc3Q==

f11116023 Location:

Summary Statistics: Min. 0.007352941; Valid 24.0; StDev 0.02447064358770212; Mean 0.028339460750000003; Max. 0.077205882

Variable Format: numeric

Notes: UNF:6:k/WOxwSJM+wlnsgf7MWEyQ==

f11116023 Location:

Summary Statistics: StDev 0.03046158614513639; Min. 0.007352941; Max. 0.110294118; Mean 0.05897671579166667; Valid 24.0

Variable Format: numeric

Notes: UNF:6:05GtC1OcIcbzv3h9Knqnsw==

f11116023 Location:

Summary Statistics: Max. 0.091911765; Mean 0.03599877454166667; Valid 24.0; StDev 0.02325151513954134; Min. 0.007352941

Variable Format: numeric

Notes: UNF:6:LAo0a88wwHYCFFq8lWpnUg==

f11116023 Location:

Summary Statistics: Valid 24.0; Min. 0.007352941; Max. 0.088235294; Mean 0.040441176583333335; StDev 0.023652968397276434;

Variable Format: numeric

Notes: UNF:6:m6F1/rrstc/gyyLRYtqSEw==

Label:

instrument-preferences_data-analysis.R

Text:

R-script for the data analysis in the paper

type/x-r-syntax

Label:

_README.txt

Text:

Dataset overview

text/plain