Data for: Does (dis-)agreement reflect beliefs? An analysis of advocacy coalitions in Swiss pesticide policy

This package contains data for the paper "Does (dis-)agreement reflect beliefs? An analysis of advocacy coalitions in Swiss pesticide policy".

Paper abstract: Agricultural pesticide use is a wicked sustainability challenge: Trade-offs exist between health, environmental, agro-economic, and socio-political objectives. Various actors involved have diverse beliefs regarding these trade-offs and policies to address the challenge. But to what extent does the agreement or disagreement between actors reflect belief similarities or differences, and thus, the formation of advocacy coalitions? To answer this question, the study draws on the Advocacy Coalition Framework and investigates data from 54 key actors in the case of Swiss pesticide policy. The study explores the relationship between the actors’ (dis)agreement relations and their beliefs using Random Forests. Coalitions are identified through block modeling and beliefs based on Multi-Attribute Value Theory. The study shows that the two relations are a good proxy for identifying coalitions with conflict lines concerning beliefs and presents an approach to exploring ideological reasons behind (dis)agreement relations that supports identifying conflicting beliefs relevant to future policy solutions.