Category Archives: JEPP The Politics of Policy Analysis

The politics of policy analysis: theoretical insights on real world problems

This post introduces a new Journal of European Public Policy Special Issue called ‘The politics of policy analysis: theoretical insights on real world problems’.

How can policy process research help to address policy and policymaking problems? This special issue of the Journal of European Public Policy seeks to address that question by examining the theory and practice of policy analysis. The call for papers sought state of the art articles that conceptualise the politics of policy analysis, and empirical studies that use theoretical insights to analyse and address real world problems. Contributions could draw on mainstream policy theories to explain how policymaking works, and/ or critical approaches that identify and challenge inequalities of power. Both approaches identify three general reference points or assumptions.

First, policy analysis is not a disinterested, objective search for truth and an optimal policy solution. It is not a technocratic process that can be separated from politics. Techniques such as cost-benefit analysis require technical skills, but are not a substitute for political debate. Therefore, phrases like ‘evidence based’ do not describe policymaking well.

Second, policy analysis is not part of a simple, orderly policy process. It does not contribute to a tightly managed policy cycle consisting of linear and clearly defined technical stages. Policymaking is a highly contested but unequal process. Many policymakers, analysts, and influencers cooperate or compete to use information selectively to define problems, and select policy solutions with inevitable winners and losers, in processes over which no actor has full understanding or control.

Third, optimal policy and linear policymaking are not good ideals anyway. The language of optimality depoliticises policy analysis and reduces attention to policy’s winners and losers. Simple images of policymaking suggest that policy problems are amenable to technical policy solutions. They downplay power and contestation. Ignoring or denying the politics of policy analysis is either naïve, based on insufficient knowledge of policymaking, or strategic, to exploit the benefits of portraying issues as technical and solutions as generally beneficial.

Further, governments are not in the problem solving business. Instead, they inherit policies that address some problems and create or exacerbate others, benefit some groups and marginalize others, or simply describe problems as too difficult to solve. The highest profile problems, such as global public health and climate change, require the kinds of (1) cooperation across many levels of government (and inside and outside of government), and (2) attention to issues of justice and equity, of which analysts could only dream.

This description of policymaking complexity presents a conundrum. On the one hand, there exist many five-step guides to analysis, accompanied by simple stage-based descriptions of policy processes, but they describe what policy actors would need or like to happen rather than policymaking reality. On the other, policy theory-informed studies are essential to explanation, but not yet essential reading for policy analysts. Policy theorists may be able to describe policy processes – and the role of policy analysts – more accurately than simple guides, but do not offer a clear way to guide action. Practitioner audiences are receptive to accurate descriptions of policymaking reality, but also want a take-home message that they can pick up and use in their work. Critical policy analysts may appreciate insights on the barriers to policy and policymaking change, but only if there is equal attention to how to overcome them.

We see this Special Issue as not only the source of five new articles but also the spark for a longer term discussion about how to engage head-on with this theory-practice conundrum. In this more general project, we seek new research that can perform a dual purpose, to:

  1. improve policy theories and generate new empirical insights, and
  2. provide practical lessons to non-specialist audiences, many of whom would otherwise use too-simple models of policymaking to guide their understanding.

The following articles engage with these issues in five different ways:

Occupy the semantic space! Opening up the language of better regulation

Evidence-Based Policy, Artificial Intelligence, and the Ethical Practice of Policy Analysis 

Social identities and deadlocked debates on nuclear energy policy 

Discourse analysis and strategic policy advice: manoeuvring, navigating, and transforming policy

Blood, Sweat, and Cannabis: Real-World Policy Evaluation of Controversial Issues  

You can also read the full introduction to the Special Issue: Cairney, P. (2023) ‘The politics of policy analysis: theoretical insights on real world problems’, Journal of European Public Policy, https://www.tandfonline.com/doi/full/10.1080/13501763.2023.2221282

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Applied Policy Analysis: A Taste of Reality

Dr Céline Mavrot, Dr Susanne Hadorn, and Professor Fritz Sager introduce the fifth article – ‘Blood, Sweat, and Cannabis: Real-World Policy Evaluation of Controversial Issues’ – published in the Journal of European Public Policy Special Issue ‘The Politics of Policy Analysis’. They reflect on the relationship between policy analysis and real-world politics, such as when salient issues divide actors and undermine the trust required to foster collaboration. An academic focus on the wider policymaking context can encourage policy actors to cooperate, while assigning some empirical authority to researchers can reduce the tendency for each actor to pursue their own interpretation of the current evidence.

The recent COVID-19 pandemic has once again highlighted ambivalent feelings regarding the role of science. Governments worldwide have given an unprecedented platform to scientists, and many suddenly became the Prince’s closest advisors. However, the pandemic has also prompted a massive infodemic, some of which promotes skepticism regarding COVID-19 and scientific authority. Democracies and evidence-based policies have a love–hate history. Scientists tend to have an equivocal attitude towards their role in real-world matters, torn between the will to bring useful information to the debate, and the fear of being instrumentalized. This dynamic makes policy analysis all the more intriguing.

What is the role of political science in such activity? It is the discipline most directly concerned with real-world politics, but has also devoted much effort to distinguish itself from the applied matters of power and politics. Some streams of public policy – such as policy evaluation – have kept applied social science at the center of their activity, but are often received with polite indifference or marked skepticism among the scientific community. However, far from being subordinated to the constraints of political mandates and lacking independence, applied streams of policy analysis have – when performed properly – developed reflectivity and instruments to maintain an analytical distance from their object of study. Therefore, a stronger dialogue between applied and theoretical streams of policy analysis would benefit the discipline.

In this contribution, we address the question of hands-on policy analysis, and question what politics does to science and what science does to policies. The article is based on a case of applied policy evaluation. The research team has evaluated the highly controversial policy on medical cannabis in Switzerland. The team was asked to assess the legality and adequacy of its implementation against the backdrop of a parliamentary and administrative controversy. We hold that policy analysis has much to gain from undertaking applied studies around concrete policy problems, and vice versa. We discuss four specific challenges policy analysis faces in its applied endeavors:

  • political pressure (how to resist external pressure toward the results)
  • scientific integrity (how to balance scientific rigor and needs in the field)
  • access to sensitive data (how to manage explosive situations and confidential information), and
  • epistemic legitimacy (how to defend the distinctive added value of political science applied to sectoral and highly specialized issues).

Bringing transversal concepts and an external viewpoint, policy analysis can contribute to de-escalating controversies by providing a 360-degree perspective on the issue at hand, and by retracing the historical reasons that account for policy incoherencies of deadlocks. In return, applied mandates allow policy analysts to penetrate the realm of policies behind closed doors. Mavrot, C., Hadorn, S. and Sager, F. (2023) ‘Blood, Sweat, and Cannabis: Real-World Policy Evaluation of Controversial Issues’, Journal of European Public Policy, https://doi.org/10.1080/13501763.2023.2222141

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Discourse analysis and strategic policy advice: manoeuvring, navigating, and transforming policy

Dr Kennet Lynggaard and Professor Peter Triantafillou introduce the fourth article – ‘Discourse analysis and strategic policy advice: manoeuvring, navigating, and transforming policy’ – to be published in the Journal of European Public Policy Special Issue ‘The Politics of Policy Analysis’. They explore and conceptualizes how discourse analysis can be used as the foundation for policy advice. The article highlights how discourse analysis may provide strategic advice for policy actors (including politicians, policy strategists, public managers, and citizen groups) to shape policy. They compare strategies to underpin policy advice: to manoeuvre within a dominant ‘discursive framework’, navigate between different and conflicting discourses, or seek to transform existing discourse.

In the past, discourse analytical approaches have been somehow reluctant in offering strategies for policy advice. This reluctance relates partly to the critical ethos often associated with discourse analysis. It may follow the view that policymaking is often non-rational and not a linear process, which makes policy advice very demanding. Yet, this reluctance limits the utility of discourse analysis for providing new and partly alternative policy ideas and advice on how to steer policy processes and outputs. It also confines the practical use of one the key analytical merits of discourse analysis, namely to capture and analyse complex societal problems. Perhaps more than ever, western liberal democracies are faced by highly complex problems such as financial crises, long-term unemployment, pandemics, and global warming, demanding innovative policy solutions and solutions that may also better ensure minority interests or have democratic credence.

In this article, we explore the prospects of discourse analysis for offering policy advice and extend the scope of discourse analysis from explaining and critiquing discourses to also include changing or modifying the ways in which they are turned into policy. We elaborate and analyse discursive agency as a means of strategically operating within and using a given discursive context. Discursive agency, we argue, comes in three general types of agency – manoeuvring, navigation and transformation – and seven specific ones – normative power, manipulation, exclusion, multiple functionality, vagueness, rationalism, and securitisation.

The three general types of discursive agency and associated specific ones are illustrated by three examples. German labour market reforms from the early 2000s and the recent reform proposals introduced in 2021 serve as an illustration of how the German Social Democratic Party has successfully been manoeuvring within an existing German ‘version’ of neoliberal discourse with the purpose to consolidating status quo labour market policies.

To illustrate navigation as a type of discursive agency, we use the example of Danish Social Democratic minority government during the Covid-19 pandemic from spring 2020 to spring 2022. Like many other governments in Europe, the Danish government navigated between the epidemiological discourses encouraging the protection of life and wellbeing of the population and the liberal discourses ensuring individual freedoms.

Finally, deliberate attempts to transform a discourse is illustrated by the European Parliaments declaration of climate and environmental emergency in late 2019, which allow for the adoption of extraordinary policy measures with potential radical societal consequences.   

We argue that discourse analysis should use its insightful and often critical analyses of political struggles and how they affect the solution of real-world problems to also engage in strategic policy advice. It is highly useful for all policy actors to be aware and reflective of the various forms of discursive agency, both in cases where they want to use them for what many would think are benevolent purposes and in cases where other policy actors may try to push less benevolent policies. In the latter situation, awareness of the opponent’s strategic choice of discursive agency may prove useful for hindering undesirable policies.

Lynggaard, K and Triantafillou, P. (2023) ‘Discourse analysis and strategic policy advice: manoeuvring, navigating, and transforming policy’, Journal of European Public Policy, https://doi.org/10.1080/13501763.2023.2217846

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Social identities and deadlocked debates on nuclear energy policy

Dr Johanna Hornung introduces the third article – Social identities and deadlocked debates on nuclear energy policy – to be published in the Journal of European Public Policy Special Issue ‘The Politics of Policy Analysis’. Hornung uses the issue of energy transitions to show that academics can translate conceptual advances into new avenues of research for analysts. The aim is to go further than encouraging an ‘evidence informed’ process, which is the usual – ineffective – refrain of scientists. Rather, try to understand why policymaking bottlenecks have arisen. Entrenched positions may reflect the ‘dominant identities’ of key participants, which have developed in relation to context-specific events, choices, and debates, prompting social groups to fiercely protect their stances. The implications for policy analysis are profound, since these stances may be impervious to the use of evidence and argumentation to update or challenge beliefs.

Among the multiple crises that our society faces today, the energy crisis is one of them. First put on the agenda in the context of a sustainability-oriented supply of energy, the debate on alternative energy sources has been fueled by global conflicts. It seems almost natural that in times when governments are considering the regulation of energy use in winter, or the reduction of temperatures in public swimming pools, that they are also open-endedly discussing solutions for providing energy efficiently and sustainably.

Yet, it seems as if some options are by default excluded from some national debates, while they are prominently adopted in others. This suggests that logics other than a rationalist or evidence-informed solution – based on a thorough weighing of costs and benefits – are at work.

Focusing on the debate on energy sources currently led in France and Germany, I start from the puzzle that (1) nuclear energy is very differently considered in both countries, and (2) the debates seem to be deadlocked nationally. More specifically, nuclear energy is an option that is not seriously considered as an alternative source of energy in Germany, neither politically nor in public debates. By contrast, France builds heavily on nuclear energy and perceives it as a sustainable source, thereby providing an answer to the current tradeoff between cheap, available, but unsustainable sources of energy on the one hand (especially gas and coal) and between cost-intensive sustainable sources of regenerative energy (especially solar and wind), which are not (yet) able to sufficiently cover demand.

To explain these deadlocked stances on nuclear energy, I apply a social psychological lens on social identities. The idea of the Social Identity Approach (SIA) and the perspective on Social Identities in the Policy Process (SIPP) is to focus on group dynamics and the effects that group identification has on individual thinking and behavior. The main argument is that instead of joining groups on the grounds of shared preferences, individuals hold preferences as a result of group membership. By belonging to a certain social group, individuals take over norms, values, and behavior, which manifest themselves the longer the group exists, the more contact individuals have with other group members, and the stronger the group identity is connected to the topic at hand.

For example, in France, the dominance of nuclear energy can be explained by the presence of a social group within the public sector, including actors from the sectoral industry, who themselves are closely tied to the state administration.

However, in Germany, the opposition towards nuclear energy is closely tied to the Green party, whose group identity is anti-nuclear at its core, which hampers an evidence-informed debate on nuclear energy.

I demonstrate these claims with a discourse network analysis of the period following the EU’s decision to label nuclear energy as climate-friendly.

Understanding the deadlocked debates on energy sources as expression of group identities, that dominate discourses and policymaking on nuclear energy, provides two important insights

1. If the energy decision is dependent on identity – and not on beliefs or rationally formed preferences – new information does not lead to learning or a decision based on an exchange of informed arguments.

2. If it is a question of social identities, overcoming the deadlock is only possible if superordinate social identities are provided, or if social groups are transformed.

These insights contribute to completely different practical advice: to achieve an evidence-informed debate on nuclear energy, it is necessary to pay attention to social group dynamics and the identity of groups, and not to the provision of rational arguments.

This article does not take a stand for or against nuclear energy. Rather, it shows that policy theory insights help to identify and resolve deadlocked debates.

Hornung, J. (2023) ‘Social identities and deadlocked debates on nuclear energy policy’, Journal of European Public Policy, https://doi.org/10.1080/13501763.2023.2215495

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Evidence-Based Policy, Artificial Intelligence, and the Ethical Practice of Policy Analysis

Dr Joshua Newman and Professor Michael Mintrom introduce the second article – Mapping the Discourse on Evidence-Based Policy, Artificial Intelligence, and the Ethical Practice of Policy Analysis  – to be published in the Journal of European Public Policy Special Issue ‘The Politics of Policy Analysis’. They explore the role of artificial intelligence (AI) as a new technology that may encourage old ideas about policy analysis. The ability to use AI, in tandem with ‘big data’, to process huge amounts of policy relevant information, raises (again) the prospect that key parts of decision-making can be routinised and removed from politics. Yet, applications so far show that each aspect of that process contains – or hides – a multitude of political decisions that should be surfaced to allow proper debate and routine accountability.

Evidence-based policy is a hotly debated topic. Supporters argue that public sector decision making is in bad shape, influenced primarily by ideological thinking, pressure from special interest groups, and heavy demands on resource-poor public servants who are frequently asked to provide crucial advice within short timeframes. Critics argue that information is subjective, and decision-making is necessarily political, so evidence-based policy is in any case both unachievable and undesirable. However, this is where the debate has stalled.

We are rapidly entering an age of advanced computer systems that can recognise patterns, analyse large datasets, and autonomously improve their own programming, functions that are often referred to as ‘artificial intelligence’, or AI. The use of AI in the public sector is on the rise, in areas of service delivery as diverse as education, traffic management, and criminal justice.

What impact will AI have on how we think about evidence-based policy? Can we call information generated by computer algorithms, ‘evidence’? Are we prepared to deal with the ethical concerns inherent in letting computers inform decisions with material consequences for the lives of ordinary citizens and service users?

In this article, we argue that in light of advances in AI, debates about evidence-based policy will need to be updated. By looking at different arguments in support of and critical of evidence-based policy, and the various concerns that have been raised with respect to the ethical dilemmas related to using AI for public service delivery, we outline eight different directions in which the debate could advance. Then, using the SyRI welfare fraud detection scandal that brought down the government in the Netherlands in 2021 as an illustrative example, we show how different perspectives on evidence can actually be combined in a way that lets us see many sides of a complex issue at once. Discussions about the use of — or even the existence of — evidence in public sector decision making may already be lively, but the advent of AI threatens to make these debates even more competitive. However, it is possible that arguments that seem to be at odds could be made to work together, to support a more holistic understanding of how computers and automation can influence decision making, and how to prepare for policy controversies in an AI-enabled future.

Newman, J. and Mintrom, M. (2023) ‘Mapping the Discourse on Evidence-Based Policy, Artificial Intelligence, and the Ethical Practice of Policy Analysis’, Journal of European Public Policy, https://www.tandfonline.com/doi/full/10.1080/13501763.2023.2193223

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Occupy the semantic space! Opening up the language of better regulation

Professor Claudio Radaelli introduces the first article – ‘Occupy the semantic space!’ – to be published in the Journal of European Public Policy Special Issue ‘The Politics of Policy Analysis’. Radaelli analyses the regulatory reform agenda of international organizations to shine a light on the language of depoliticization. He highlights a tendency for policymakers to use the phrase ‘Better Regulation’ as a tool to describe policy activities as self-evident, common sense, or natural (who would not want regulation to be better?). This approach helps to insulate current approaches from debate. Such cases studies highlight the need for policy actors to challenge attempts to ‘occupy the semantic space’.

What do ‘better regulation’, ‘policy coherence’, ‘agile governance’, ‘smart cities’, and ‘social value judgements’ have in common? They are all part of our contemporary language of governance. Policymakers use them every day. International organizations publish indicators on the progress made by individual countries in achieving better, coherent, agile governance. But, there is something else.

Look at the semantics

Semantically, these conceptual entities have something important in common. It is difficult to object to language that points to something naturally desirable. Who can argue for worse regulation or policy incoherence? The whole semantic space is kind of already taken, occupied by the dominant language of governance. Then, you either talk within that language or you do not find semantic space to explore, argue for, and organise alternatives. In a recent article, I explore what happens with this language of governance.

I explore in detail better regulation as policy reform agenda. This appears at first glance unquestionable, universally desirable. Yet, the content of better regulation is actually assembled in distinctive ways – such as the pivotal role of economics as justification for regulatory choice, the concerns about excessive regulatory burdens, the imperative to use regulation to stimulate innovation. Again, I am not saying these are wrong concepts. But they are one of the ways we can reason about regulation, not the only one. Instead, with better regulation, it looks like there is no other way.

As political theorist Michael Freeden would say, concepts are assembled in morphologies that make up an ideology. I use ideology not in the sense that this reform agenda is ideological or false consciousness. Ideology, in this case, is how concepts are assembled and work together.

A semantic double act

So, how do concepts work together? First, the adoption of better regulation language limits semantic fragmentation within large coalitions for reforms, for example it keeps together the delegates of the Regulatory Policy Committee of the OECD. Imagine a semantic big tent where all delegates can say ‘we are all for better regulation’ whilst at the same time muting the difference between those of us who want to cut regulation and those who care more about the quality of regulation than its quantity.

This is the first move of the semantic act: all concepts are essentially contestable, but here, in this language, they appear de-contested. The second move is to erect a semantic wall that leaves no space to those outside. There is no semantic room for those who disagree with better regulation, only the absurdity of asking for ‘worse’ regulation. It is a bit like saying ‘here, we are all liberals’ (although policy disagreements exist within the liberal front) and vehemently discrediting how the concept of freedom is understood by libertarians. 

Not just language

It is not just a story about language. It is a story about how dominant policy coalitions shield internal conflict (by de-contesting concepts) and make it difficult to build alternative agendas.

I extend the analysis to other domains, such as policy coherence – a morphology of concepts that has been proved analytically flawed, yet it still seduces policy-makers and generates guidance documents of international organizations like the United Nations. In certain domains, these semantic constructions obfuscate winners and losers (as in the case of smart cities), in others they do not provide the correct basis for taking decisions (such as social value judgements).

So what?

In terms of policy practice, to understand how polysemy works brings in transparency. It allows a more diverse dialogue about the advantages and limitations of reform agendas, without obfuscating practice under generically attractive labels.

Providers of public management executive training should be able to discuss the tools they teach by opening up the semantic horizon, considering concepts that allow for an open discussion with practitioners. For policy entrepreneurs who want to contest dominant language, the pathway is the following: show the fragility of the intellectual foundations of certain morphologies of concepts, expose internal ambiguity camouflaged by decontestation, gain a discursive level-playing-field, re-configure polysemy in ways that are more transparent and inclusive.

Looking critically into the language that is taken for granted in international organizations, governments, and many schools of public policy is a valuable task. Unveiling and exposing the double act can empower alternative coalitions but also benefit the members of the dominant coalition willing to reduce ambiguity and increase transparency in the connection between language and practice. To expose ambiguity helps a dominant coalition to move forward – for example the OECD has carried out a project on moving beyond the classic perimeter of better regulation, discussing four beliefs systems.

And what about us, policy researchers? In the end, all concepts are contestable: policy researchers can contribute to keep this important door (to contestation) open. The identification and critical discussion of dominant language offers citizens the possibility to discuss what is really ‘better’ and ‘for whom’.

Claudio M. Radaelli (2023) ‘Occupy the semantic space! Opening up the language of better regulation’, Journal of European Public Policy, https://doi.org/10.1080/13501763.2023.2181852 (Special Issue: The politics of policy analysis: theoretical insights on real world problems)

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