Understanding Public Policy (in 1000 and 500 words) – Détails, épisodes et analyse

By James Nicholls and Paul Cairney, for the University of Stirling MPH and MPP programmes.

There are strong links between the study of public health and public policy. For example, public health scholars often draw on policy theories to help explain (often low amounts of) policy change to foster population health or reduce health inequalities. Studies include a general focus on public health strategies (such as HiAP) or specific policy instruments (such as a ban on smoking in public places). While public health scholars may seek to evaluate or influence policy, policy theories tend to focus on explaining processes and outcomes,.

To demonstrate these links, we present this podcast and blog post to (1) use an initial description of a key alcohol policy instrument (minimum unit pricing in Scotland) to (2) describe the application of policy concepts and theories and reflect on the empirical and practical implications. 

Using policy theories to interpret public health case studies: the example of a minimum unit price for alcohol | Paul Cairney: Politics & Public Policy (wordpress.com)

The eight (and final) of a series of podcasts tying together multiple 500 Words posts. They’ll sound a bit different from the  1000 Words podcasts because I recorded them in front of our MPP students.

This brief lecture is on the role of policymaking environments and the theories that describe them (also based on text in Chapter 13):

"The second part of our universal story is that people respond to bounded rationality within complex policymaking environments. We can describe this environment with reference to five or six constituent parts (John, 2003: 495; Heikkila and Cairney, 2018). First, there are many actors – including policymakers and influencers – spread across many types of policymaking venues. Second, each venue contains its own ‘institutions’, or formal and informal rules governing behaviour. Third, each venue can produce its own networks of policymakers and influencers, and the lines between formal responsibility and informal influence are blurry. Fourth, actors in each venue draw on a dominant set of ideas or beliefs about the nature of policy problems and the acceptable range of solutions. Fifth, natural, social, and economic factors limit policymakers’ abilities to address and solve policy problems. Finally, routine and non-routine events help set the policy agenda and influence the resources available to actors. Combined, these factors produce the broad sense that policymaking environments – or, in some accounts, ‘context’ or ‘systems’ – constrain and facilitate action and are out of the control (or even understanding) of individual actors. Figure 13.1 provides the simplest way to visualize these concepts, partly to compete with the visual simplicity of the policy cycle while maintaining the assumption of complexity"

Relevant posts:

Policy in 500 Words: The Policy Process

Policy Concepts in 1000 Words: The Policy Process

Policy in 500 Words: if the policy cycle does not exist, what do we do?

(see also 12 things to know about studying public policy and 5 images of the policy process).

From Policy Concepts in 1000 Words: The Psychology of Policymaking

Psychology is at the heart of policymaking, but the literature on psychology is not always at the heart of policy theory. Most theories identify ‘bounded rationality’ which, on its own, is little more than a truism: people do not have the time, resources and cognitive ability to consider all information, all possibilities, all solutions, or anticipate all consequences of their actions. Consequently, they use informational shortcuts or heuristics – perhaps to produce ‘good-enough’ decisions. This is where psychology comes in, to:

1. Describe the thought processes that people use to turn a complex world into something simple enough to understand and/ or respond to; and
2. To compare types of thought process, such as (a) goal-oriented and reasoned, thoughtful behaviour and (b) the intuitive, gut, emotional or other heuristics we use to process and act on information quickly.

Where does policy theory come in? It seeks to situate these processes within a wider examination of policymaking systems and their environments, identifying the role of:

• A wide range of actors making choices.
• Institutions, as the rules, norms, and practices that influence behaviour.
• Policy networks, as the relationships between policymakers and the ‘pressure participants’ with which they consult and negotiate.
• Ideas – a broad term to describe beliefs, and the extent to which they are shared within groups, organisations, networks and political systems.
• Context and events, to describe the extent to which a policymaker’s environment is in her control or how it influences her decisions.

Putting these approaches together is not easy. It presents us with an important choice regarding how to treat the role of psychology within explanations of complex policymaking systems – or, at least, on which aspect to focus.

Our first choice is to focus specifically on micro-level psychological processes, to produce hypotheses to test propositions regarding individual thought and action. There are many from which to choose, although from Daniel Kahneman’s Thinking, Fast and Slow (p 20), we can identify a basic distinction between two kinds ‘System 1 operates automatically and quickly, with little or no effort and no sense of voluntary control. System 2 allocates attention to the effortful mental activities that demand it, including complex computations … often associated with the subjective experience of agency, choice and concentration’. Further, system 1 can be related to a series of cognitive shortcuts which develop over time as people learn from experience, including:

For more see Policy Concepts in 1000 Words: The Psychology of Policymaking

From Policy Concepts in 1000 Words: Combining Theories

The combination of multiple theories in policy studies is like a valence issue in politics: few would disagree with the idea, largely because the sentiment is rather vague. Who would not want to combine the insights of a wide range of theories and studies to advance our knowledge? The more problematic and debatable part of this task relates to the details: how do we do it? I outline three main ways in which scholars address this issue and highlight the problems that may arise in each case:

Synthesis. We combine the insights of multiple theories, concepts or models to produce a single theory.  One key problem is that when we produce a synthetic theory, from a range of other theories or concepts, we have to assume that the component parts of this new hybrid are consistent with each other. Yet, if you scratch the surface of many concepts – such as ‘new institutionalism’ or ‘policy networks’ – you find all sorts of  disagreement about the nature of the world, how our concepts relate to it and how we gather knowledge of it. There are also practical problems regarding our assumption that the authors of these concepts have the same thing in mind when they describe things like ‘punctuated equilibrium’.  In other words, imagine that you have constructed a new theory based on the wisdom of five other people.  Then, get those people in the same room and you will find that they will share all sorts of – often intractable – disagreements with each other.  In that scenario, could you honestly state that your theory was based on accumulated knowledge?

The ‘Complementary’ Approach. In this case, you accept that people have these differences and so you accommodate them – you entertain a range of theories/ concepts and explore the extent to which they explain the same thing in different ways.  This is a popular approach associated with people like Allison) and used by several others to compare policy events.  One key problem with this approach is that it is difficult to do full justice to each theory.  Most theories have associated methods which are labour intensive and costly, putting few in the position to make meaningful comparisons.  Instead, the comparisons tend to be desktop exercises based on a case study and the authors’ ability to consider how each theory would explain it.

The ‘Contradictory’ Approach.  In that context, another option is to encourage the independence of such theories.

For more see Policy Concepts in 1000 Words: Combining Theories

From Policy Concepts in 1000 Words: the intersection between evidence and policy transfer

We can generate new insights on policymaking by connecting the dots between many separate concepts. However, don’t underestimate some major obstacles or how hard these dot-connecting exercises are to understand. They may seem clear in your head, but describing them (and getting people to go along with your description) is another matter. You need to set out these links clearly and in a set of logical steps. I give one example – of the links between evidence and policy transfer – which I have been struggling with for some time.

In this post, I combine three concepts – policy transfer, bounded rationality, and ‘evidence-based policymaking’ – to identify the major dilemmas faced by central government policymakers when they use evidence to identify a successful policy solution and consider how to import it and ‘scale it up’ within their jurisdiction. For example, do they use randomised control trials (RCTs) to establish the effectiveness of interventions and require uniform national delivery (to ensure the correct ‘dosage’), or tell stories of good practice and invite people to learn and adapt to local circumstances? I use these examples to demonstrate that our judgement of good evidence influences our judgement on the mode of policy transfer.

Insights from each concept

From studies of policy transfer, we know that central governments (a) import policies from other countries and/ or (b) encourage the spread (‘diffusion’) of successful policies which originated in regions within their country: but how do they use evidence to identify success and decide how to deliver programs?

From studies of ‘evidence-based policymaking’ (EBPM), we know that providers of scientific evidence identify an ‘evidence-policy gap’ in which policymakers ignore the evidence of a problem and/ or do not select the best evidence-based solution: but can policymakers simply identify the ‘best’ evidence and ‘roll-out’ the ‘best’ evidence-based solutions?

To read on, see Policy Concepts in 1000 Words: the intersection between evidence and policy transfer

see also Teaching evidence based policy to fly: how to deal with the politics of policy learning and transfer

From Policy Concepts in 1000 Words: Policy Transfer and Learning

‘Policy learning’ describes the use of knowledge to inform policy decisions. That knowledge can be based on information regarding the current problem, lessons from the past or lessons from the experience of others. This is a political, not technical or objective, process (for example, see the ACF post). ‘Policy transfer’ describes the transfer of policy solutions or ideas from one place to another, such as by one government importing the policy in another country (note related terms such as ‘lesson-drawing’, ‘policy diffusion’ and ‘policy convergence’ – transfer is a catch-all, umbrella, term). Although these terms can be very closely related (one would hope that a government learns from the experiences of another before transferring policy) they can also operate relatively independently. For example, a government may decide not to transfer policy after learning from the experience of another, or it may transfer (or ‘emulate’) without really understanding why the exporting country had a successful experience (see the post on bounded rationality).

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The descriptive/ empirical side asks these sorts of questions:

From where are lessons drawn? In the US, the diffusion literature examines which states tend to innovate or emulate. Some countries are also known as innovators in certain fields – such as Sweden and the social democratic state, Germany on inflation control and the UK on privatization. The US (or its states) tends to be a major exporter of ideas. Some countries often learn consistently from the same source (such as the UK from the US). Studies tend to highlight the reasons for borrowing from certain countries – for example, they share an ideology, common problems or policy conditions. ‘Globalization’ has also reduced practical barriers to learning between countries.

Who is involved? Apart from the usual suspects (elected officials, civil servants, interest groups), we can identify the role of federal governments (for states), international organizations (for countries), ‘policy entrepreneurs’ (who use their experience in one country to sell that policy to another – such as the Harvard Business School professor travelling the world selling ‘new public management’), international networks of experts (who feed up ideas to their national governments), multinational corporations (who encourage the ‘race to the bottom’, or the reduction of taxes and regulations in many countries), and other countries (such as the US).

For more see Policy Concepts in 1000 Words: Policy Transfer and Learning

From Policy Concepts in 1000 Words: the Westminster Model and Multi-level Governance

A stark comparison between the ‘Westminster Model’ (WM) and Multi-level Governance (MLG) allows us to consider the difference between accountable government and the messy real world of policymaking. The WM may be used as an ideal-type to describe how power is centralized in the hands of a small number of elites:

• We rely on representative, not participatory, democracy.
• The plurality electoral system exaggerates the parliamentary majority of the biggest party and allows it to control Parliament.
• A politically neutral civil service acts according to ministerial wishes.
• The prime minister controls cabinet and ministers.

We may also identify an adversarial style of politics and a ‘winner takes all’ mentality which tends to exclude opposition parties. The government is responsible for the vast majority of public policy and it uses its governing majority, combined with a strong party ‘whip’ to make sure that its legislation is passed by Parliament.  Power is centralized and government policy is made from the top-down. In turn, the government is accountable to public, via Parliament, on the assumption that it is powerful, responsible and takes responsibility for public policy.

In contrast, MLG suggests that power is spread widely across the political system:

• Vertically – at supranational, national, regional and local levels ((hence multi-level).
• Horizontally – shared between government departments and a range of non-governmental and quasi-non-governmental (quango) bodies (hence governance rather than government).

The hook is that we are witnessing a major transformation: from national governing institutions to supranational and sub-national governing institutions; and, from central government to the different levels of government and non-governmental organizations that interact with them. MLG identifies blurred boundaries between formal and informal sources of authority which make it difficult to identify clear-cut decisions or power relations.

[for more see Policy Concepts in 1000 Words: the Westminster Model and Multi-level Governance]

From Policy Concepts in 1000 Words: Power and Ideas

Compare with Policy in 500 Words: Power and Knowledge

Policy theory is about the relationship between power and ideas. These terms are difficult to disentangle, even analytically, because people often exercise power by influencing the beliefs of others. A good rule of thumb, from classic studies, is that the more profound and worrying kinds of power are the hardest to observe.

Dahl argued that elitism was unobservable; that it was ‘virtually impossible to disprove’ the idea that inequalities in society translate into systematic advantages across the political system. Dahl’s classic statement is that, ‘A has power over B to the extent that he can [or does] get B to do something that B would not otherwise do’. To demonstrate this power requires the identification of A’s: resources, means to exploit those resources, willingness to engage in political action; the amount of power exerted (or threatened) by A and the effect of A’s action on B. Dahl identified ‘key political choices’ involving a significant conflict of preferences – suggesting that the powerful are those that benefit from ‘concrete outcomes’. He identified inequalities in many areas but no overall, coordinated, control of the policy process. His work is often described as ‘pluralist’.

Subsequent debates were based on a critique of pluralist methods. Bachrach and Baratz argued that the ‘second face’ of power is exercised before Dahl’s ‘key political choices’. Power is not simply about visible conflicts. It can relate to two barriers to engagement. First, groups may exercise power to reinforce social attitudes. If the weight of public opinion is against government action, maybe governments will not intervene. In such cases, power and powerlessness relates to the inability of groups to persuade the public, media and/ or government that there is a reason to make policy; a problem to be solved.  Second, policymakers can only pay attention to a tiny amount of issues for which they are responsible. So, groups may exercise power to keep some issues on their agenda at the expense of others.  Issues on the agenda may be ‘safe’ – more attention to them means less attention to the imbalances of power within society. Schattschneider argues (in A Realist’s View of Democracy) that the structures of government, such as legislative procedures controlling debate, reinforce this problem when determining which conflicts receive attention and which are ignored.

The ‘third dimension’ of power suggests that people or organizations can be powerful without appearing to act.

[see Policy Concepts in 1000 Words: Power and Ideas for more]

From Policy Concepts in 1000 Words: Context, Events, Structural and Socioeconomic Factors

We need a way to describe the things that policymakers take into account when they make decisions. We also need a way to categorise these things in order of importance, from factors that simply catch their eye, to factors that seem to be out of their control and/ or force them into making particular choices.

For example, ‘policy context’ or ‘structural factors’ may be used to describe the extent to which a policymaker’s ‘environment’ is in her control. It can refer to the policy conditions that policymakers take into account when identifying problems and deciding how to address them, such as a political system’s: geography, demographic profile, economy, and mass social attitudes and behaviour.

Or, we might refer to‘events’, which can be: routine, such as the elections, or unanticipated incidents, including social or natural crises, major scientific breakthroughs and technological change (see Weible).

Or, we might refer to policymaker ‘inheritance’ – of laws, rules, and programs (Rose, 1990). The first thing that a new government does is accept responsibility for the decisions made in its name in the past. New policymakers also realise that they are engaging in governing organisations which often have well-established rules, to which they either have to adapt or expend energy to challenge.

Structure and agency

Our challenge is to find a way to incorporate these factors into a convincing account of policymaking.

From Policy Concepts in 1000 Words: Complex Systems

There is an unnecessary tendency for proponents of complexity theory to say that it is radically new; a scientific revolution; that it will change the way we think about, and study, the natural and social world. It suggests that we shift our analysis from individual parts of a system to the system as a whole; as a network of elements that interact and combine to produce systemic behaviour that cannot be broken down merely into the actions of its constituent parts. The metaphor of a microscope or telescope, in which we zoom in to analyse individual components or zoom out to see the system as a whole, sums up this alleged shift of approach.

Complexity theory has been applied to a wide range of activity, from the swarming behaviour of bees, the weather and the function of the brain, to social and political systems.  The argument is that all such systems have common properties, including:

1. A complex system is greater than the sum of its parts; those parts are interdependent – elements interact with each other, share information and combine to produce systemic behaviour.
2. Some attempts to influence complex systems are dampened (negative feedback) while others are amplified (positive feedback). Small actions can have large effects and large actions can have small effects.
3. Complex systems are particularly sensitive to initial conditions that produce a long-term momentum or ‘path dependence’.
4. They exhibit ‘emergence’, or behaviour that results from the interaction between elements at a local level rather than central direction.
5. They may contain ‘strange attractors’ or demonstrate extended regularities of behaviour which may be interrupted by short bursts of change.

As you might expect from a theory of many things, the language is vague and needs some interpretation in each field. In the policymaking field, the identification of a complex system is often used to make the following suggestions:

• Law-like behaviour is difficult to identify – so a policy that was successful in one context may not have the same effect in another.
• Policymaking systems are difficult to control; policy makers should not be surprised when their policy interventions do not have the desired effect.
• Policy makers in the UK have been too driven by the idea of order, maintaining rigid hierarchies and producing top-down, centrally driven policy strategies.  An attachment to performance indicators, to monitor and control local actors, may simply result in policy failure and demoralised policymakers.
• Policymaking systems or their environments change quickly. Therefore, organisations must adapt quickly and not rely on a single policy strategy.

On this basis, there is a tendency in the literature to encourage

..

For more see Policy Concepts in 1000 Words: Complex Systems