by Thomas Bolognesi, Eva Lieberherr and Manuel Fischer

In our recent article published in Policy & Politics, we investigate the formation of policy preferences, which are critical in the policy process as they primarily drive policymakers’ choices and, consequently, policy design. Therefore, understanding policy preferences is essential for understanding policy design. To define policy preferences, we draw on bounded rationality and complexity theory. To explain policy preference formation, we explore two key mechanisms: the willingness to solve a given problem and affiliation with a particular group. Our central question is to determine the extent to which each mechanism influences policy preferences. 

Our analysis reveals that each actor’s policy preference is a specific point within a broader policy preference space, which is defined along multiple policy dimensions (see Figure 1). We use the case of the water sector in Switzerland to measure these three interconnected concepts. By performing a principal component analysis on 39 variables representing choices of policy instruments or organisational structures, we identify four distinct policy preference dimensions: regional planning, privatisation, public financing, and flexible inter-municipal collaboration.

To explain the specific preferences of water policy stakeholders within these four policy preference dimensions, we estimate the role of their water policy goal priorities and affiliations. Goal priorities might include cost saving, security of supply, and resource protection. Affiliations considered in the policy process include different administrative levels of the state or the type of participating actors, such as water suppliers or interest groups. We account for regional specificities to limit the impact of the local context of water governance on our estimates.  

Our results provide detailed insights into how the willingness to solve a problem and group affiliation affect preference formation. They reveal two distinct patterns. First, preferences along the policy dimensions are significantly associated with a single goal priority, indicating that actors tend to share a common perspective on how to address specific problems. For instance, the preference for privatisation is negatively associated with infrastructure as a goal priority, while public financing is positively associated with security of supply as a primary policy goal. Conversely, various actor types are significantly associated with policy preference dimensions, confirming that there is collective positioning along these dimensions. Additionally, we find that the more central the policy dimension, the stronger the effect of affiliation on individual positioning. Combining these two effects explains the emergence of policy preference spaces and the diversity among individuals’ preferences. 

Our research has significant policy implications. It highlights that a few key policy dimensions, such as the public-private debate in the water sector, shape the policy preference spaces. We also emphasise that the willingness to solve a problem and affiliation with a group influence preference formation through different mechanisms, with variations arising from different levels of analysis (preference dimension, space, individual). This insight is crucial for framing policy change and fostering effective collaboration. Methodologically, we offer a replicable approach to analysing policy preferences that facilitates comparability across cases and enhances the relevance of measurements by being both deductive and inductive. 

You can read the original research in  Policy & Politics  at
Bolognesi, T., Lieberherr, E., & Fischer, M. (2024). Identifying and explaining policy preferences in Swiss water management. Policy & Politics, 52(3), 384-411 from https://doi.org/10.1332/03055736Y2023D000000004

If you enjoyed this blog post, you may also be interested to read:
Hornung, J., & Bandelow, N. C. (2024). Social identities, emotions and policy preferences. Policy & Politics (published online ahead of print 2024) from https://doi.org/10.1332/03055736Y2024D000000036