Policy analysis or public policy analysis is a technique used in the public administration sub-field of political science to enable civil servants, nonprofit organizations, and others to examine and evaluate the available options to implement the goals of laws and elected officials. People who regularly use policy analysis skills and techniques on the job, particularly those who use it as a major part of their job duties are generally known by the title policy analyst. The process is also used in the administration of large organizations with complex policies. It has been defined as the process of "determining which of various policies will achieve a given set of goals in light of the relations between the policies and the goals." [1]
Policy analysis can be divided into two major fields: [2]
One definition states that: [3]
Policy Analysis is the process of identifying potential policy options that could address your problem and then comparing those options to choose the most effective, efficient, and feasible one.
The areas of interest and the purpose of analysis determine what types of analysis are conducted. A combination of two kinds of policy analyses together with program evaluation is defined as policy studies . [4] Policy analysis is frequently deployed in the public sector, but is equally applicable elsewhere, such as nonprofit organizations and non-governmental organizations. Policy analysis has its roots in systems analysis, an approach used by United States Secretary of Defense Robert McNamara [5] in the 1960s.
Various approaches to policy analysis exist. The analysis for policy (and analysis of policy) is the central approach in social science and educational policy studies. It is linked to two different traditions of policy analysis and research frameworks. The approach of analysis for policy refers to research conducted for actual policy development, often commissioned by policymakers inside the bureaucracy (e.g. civil servants) within which the policy is developed. Analysis of policy is more of an academic exercise, conducted by academic researchers, professors and think tank researchers, who are often seeking to understand why a particular policy was developed at a particular time and assess the effects, intended or otherwise, of that policy when it was implemented. [6]
There are three approaches that can be distinguished: the analysis-centric, the policy process, and the meta-policy approach. [2]
The analysis-centric (or "analycentric") approach focuses on individual problems and their solutions. Its scope is the micro-scale and its problem interpretation or problem resolution usually involves a technical solution. The primary aim is to identify the most effective and efficient solution in technical and economic terms (e.g. the most efficient allocation of resources).
The policy process approach puts its focal point onto political processes and involved stakeholders; its scope is the broader meso-scale and it interprets problems using a political lens (i.e., the interests and goals of elected officials). It aims at determining what processes, means and policy instruments (e.g., regulation, legislation, subsidy) are used. As well, it tries to explain the role and influence of stakeholders within the policy process. [8] Stakeholders is defined broadly to include citizens, community groups, non-governmental organizations, businesses and even opposing political parties. By changing the relative power and influence of certain groups (e.g., enhancing public participation and consultation), solutions to problems may be identified that have more "buy in" from a wider group. One way of doing this follows a heuristic model called the policy cycle . In its simplest form, the policy cycle, which is often depicted visually as a loop or circle, starts with the identification of the problem, proceeds to an examination of the different policy tools that could be used to respond to that problem, then goes on to the implementation stage, in which one or more policies are put into practice (e.g., a new regulation or subsidy is set in place), and then finally, once the policy has been implemented and run for a certain period, the policy is evaluated. A number of different viewpoints can be used during evaluation, including looking at a policy's effectiveness, cost-effectiveness, value for money, outcomes or outputs.
The meta-policy approach is a systems and context approach; i.e., its scope is the macro-scale and its problem interpretation is usually of a structural nature. It aims at explaining the contextual factors of the policy process; i.e., what the political, economic and socio-cultural factors are that influence it. As problems may result because of structural factors (e.g., a certain economic system or political institution), solutions may entail changing the structure itself.
Policy analysis uses both qualitative methods and quantitative methods. Qualitative research includes case studies and interviews with community members. Quantitative research includes survey research, statistical analysis (also called data analysis) and model building. A common practice is to define the problem and evaluation criteria; identify and evaluate alternatives; and recommend a certain policy accordingly. Promotion of the best agendas are the product of careful "back-room" analysis of policies by a priori assessment and ' a posteriori evaluation.
Several methods used in policy analysis are:[ citation needed ]
There are six dimensions to policy analysis categorized as the effects and implementation of the policy across a period of time. Also collectively known as "Durability" of the policy, which means the capacity in content of the policy to produce visible
Effects
Effectiveness | What effects does the policy have on the targeted problem? |
Unintended effects [9] [ full citation needed ] | What are the unintended effects of this policy? |
Equity [10] [ full citation needed ] | What are the effects of this policy on different population groups? |
Implementation
Cost | What is the financial cost of this policy? |
Feasibility | Is the policy technically feasible? |
Acceptability [11] [ full citation needed ] | Do the relevant policy stakeholders view the policy as acceptable? |
The strategic effects dimensions can pose certain limitations due to data collection. However the analytical dimensions of effects directly influences acceptability. The degree of acceptability is based upon the plausible definitions of actors involved in feasibility. If the feasibility dimension is compromised, it will put the implementation at risk, which will entail additional costs. Finally, implementation dimensions collectively influence a policy's ability to produce results or impacts.
One model of policy analysis is the "five-E approach", which consists of examining a policy in terms of: [12]
Policies are viewed as frameworks with the potential to optimize the general well-being. These are commonly analyzed by legislative bodies and lobbyists. Every policy analysis is intended to bring an evaluative outcome. A systemic policy analysis is meant for in depth study for addressing a social problem. Following are steps in a policy analysis: [13]
Many models exist to analyze the development and implementation of public policy. Analysts use these models to identify important aspects of policy, as well as explain and predict policy and its consequences. Each of these models are based upon the types of policies.
Public policy is determined by a range of political institutions, which give policy legitimacy to policy measures. In general, the government applies policy to all citizens and monopolizes the use of force in applying or implementing policy (through government control of law enforcement, court systems, imprisonment and armed forces). The legislature, executive and judicial branches of government are examples of institutions that give policy legitimacy. Many countries also have independent, quasi-independent or arm's length bodies which, while funded by government, are independent from elected officials and political leaders. These organizations may include government commissions, tribunals, regulatory agencies and electoral commissions.
Policy creation is a process that typically follows a sequence of steps or stages:
This model, however, has been criticized for being overly linear and simplistic. [15] In reality, stages of the policy process may overlap or never happen. Also, this model fails to take into account the multiple factors attempting to influence the process itself as well as each other, and the complexity this entails.
One of the most widely used model for public institutions is one developed by Herbert A. Simon, the "father of rational models"; tt is also used by private corporations.[ citation needed ] However, many[ who? ] criticise the model due to some of its characteristics being impractical and relying on unrealistic assumptions. For instance, it is a difficult model to apply in the public sector because social problems can be very complex, ill-defined, and inter-dependent. The problem lies in the thinking procedure implied by the model which is linear and can face difficulties in extraordinary problems or social problems which have no sequences of happenings.[ citation needed ]
The rational planning model of decision-making is a process for making sound decisions in policy-making in the public sector. Rationality is defined as “a style of behavior that is appropriate to the achievement of given goals, within the limits imposed by given conditions and constraints”. [16] The model makes a series of assumptions, such as: "The model must be applied in a system that is stable"; "The government is a rational and unitary actor and that its actions are perceived as rational choices"; "The policy problem is unambiguous"; "There are no limitations of time or cost".[ citation needed ]
In the context of the public sector, policy models are intended to achieve maximum social gain, and may involved the following steps to achieve rational decisions: [17]
The Rational planning model has also proven to be very useful to several decision making processes in industries outside the public sphere.[ citation needed ] Nonetheless, there are some who criticize the rational model due to the major problems which can be faced & which tend to arise in practice because social and environmental values can be difficult to quantify and forge consensus around. [18] Furthermore, the assumptions stated by Simon are never fully valid in a real-world context.[ citation needed ]
Further criticism of the rational model include: leaving a gap between planning and implementation, ignoring of the role of people, entrepreneurs, leadership, etc., the insufficiency of technical competence (i.e. ignoring the human factor), reflecting too mechanical an approach (i.e. the organic nature of organizations), requiring of multidimensional and complex models, generation of predictions which are often wrong (i.e. simple solutions may be overlooked), and incurring of cost (i.e. costs of rational-comprehensive planning may outweigh the cost savings of the policy).[ citation needed ]
However, Thomas R. Dye, the president of the Lincoln Center for Public Service, states the rational model provides a good perspective since in modern society rationality plays a central role and everything that is rational tends to be prized. Thus, it does not seem strange that "we ought to be trying for rational decision-making". [19]
An incremental policy model relies on features of incremental decision-making such as: satisficing, organizational drift, bounded rationality, and limited cognition, among others. Such policies are often called "muddling through" and represent a conservative tendency: new policies are only slightly different from old policies. Policy-makers are too short on time and other resources to make totally new policies; thus, past policies are accepted as having some legitimacy. When existing policies have sunk costs which discourage innovation, incrementalism is an easier approach than rationalism, and the policies are more politically expedient because they do not necessitate any radical redistribution of values. Such models necessarily struggle to, improve the acceptability of public policy.[ citation needed ]
Criticisms of such a policy approach include: challenges to bargaining (i.e. not successful with limited resources), downplaying useful quantitative information, obscuring real relationships between political entities, an anti-intellectual approach to problems (i.e. the preclusion of imagination), and a bias towards conservatism (i.e. bias against far-reaching solutions).[ citation needed ]
There are many contemporary policies relevant to gender and workplace issues. Actors analyze contemporary gender-related employment issues ranging from parental leave and maternity programs, sexual harassment, and work/life balance to gender mainstreaming. It is by the juxtaposition of a variety of research methodologies focused on a common theme the richness of understanding is gained. This integrates what are usually separate bodies of evaluation on the role of gender in welfare state developments, employment transformations, workplace policies, and work experience.[ citation needed ]
There are several other major types of policy analysis, broadly groupable into competing approaches:[ citation needed ]
The success of a policy can be measured by changes in the behavior of the target population and active support from various actors and institutions involved. A public policy is an authoritative communication prescribing an unambiguous course of action for specified individuals or groups in certain situations. There must be an authority or leader charged with the implementation and monitoring of the policy with a sound social theory underlying the program and the target group. Evaluations can help estimate what effects will be produced by program objectives/alternatives. However, claims of causality can only be made with randomized control trials in which the policy change is applied to one group and not applied to a control group and individuals are randomly assigned to these groups. [20] [21] [22]
To obtain compliance of the actors involved, the government can resort to positive sanctions, such as favorable publicity, price supports, tax credits, grants-in-aid, direct services or benefits; declarations; rewards; voluntary standards; mediation; education; demonstration programs; training, contracts; subsidies; loans; general expenditures; informal procedures, bargaining; franchises; sole-source provider awards...etc. [23] [ full citation needed ]
Policy evaluation is used to examine content, implementation or impact of the policy, which helps to understand the merit, worth and the utility of the policy. Following are National Collaborating Centre for Healthy Public Policy's (NCCHPP) 10 steps: [24]
Details of such a plan may vary by institution and context. For example, a Public Health Ontario revision of the above replaces the first three steps with "describe the program", "identify and engage partners", and "determine timelines and available resources", while otherwise retaining the model. [25]
There is sometimes a need for policy assessment to be conducted at speed, using rapid evaluation and assessment methods (REAM). [26]
Characteristics of REAM include setting clear and targeted objectives at the start of a policy cycle, participation and interdisciplinary teamwork, simultaneous collection and analysis of data, and the staged reporting of findings. These require front-loaded effort: consulting with funders and achieving buy-in from informants who will face competing demands during implementation phases. They also blur the distinction between evaluation and implementation, as interim findings are used to adapt and improve processes. [27]
Rapid methods can be used when there is a short policy cycle. For instance, they are often used in international development to assess the impact of aid policies in response to natural disasters. It has been suggested that rapid assessment methods may be necessary to evaluate energy and climate policies in the context of the climate emergency. [28]
Policy analysis affects policymakers' decisions by introducing them to new ideas to consider, through the work of policy analysts summarizing ideas and frameworks found in the relevant literature. [29]
Policymakers tend to value policy analysis more depending on the cause of a policy problem. Evidence of a purposeful cause for a problem can compel policy decisions more than unguided causes. [30]
Risk management is the identification, evaluation, and prioritization of risks, followed by the minimization, monitoring, and control of the impact or probability of those risks occurring.
In common usage, evaluation is a systematic determination and assessment of a subject's merit, worth and significance, using criteria governed by a set of standards. It can assist an organization, program, design, project or any other intervention or initiative to assess any aim, realizable concept/proposal, or any alternative, to help in decision-making; or to generate the degree of achievement or value in regard to the aim and objectives and results of any such action that has been completed.
Technology assessment is a practical process of determining the value of a new or emerging technology in and of itself or against existing technologies. This is a means of assessing and rating the new technology from the time when it was first developed to the time when it is potentially accepted by the public and authorities for further use. In essence, TA could be defined as "a form of policy research that examines short- and long term consequences of the application of technology."
Transportation planning is the process of defining future policies, goals, investments, and spatial planning designs to prepare for future needs to move people and goods to destinations. As practiced today, it is a collaborative process that incorporates the input of many stakeholders including various government agencies, the public and private businesses. Transportation planners apply a multi-modal and/or comprehensive approach to analyzing the wide range of alternatives and impacts on the transportation system to influence beneficial outcomes.
Public policy is an institutionalized proposal or a decided set of elements like laws, regulations, guidelines, and actions to solve or address relevant and real-world problems, guided by a conception and often implemented by programs. These policies govern and include various aspects of life such as education, health care, employment, finance, economics, transportation, and all over elements of society. The implementation of public policy is known as public administration. Public policy can be considered the sum of a government's direct and indirect activities and has been conceptualized in a variety of ways.
In systems engineering, information systems and software engineering, the systems development life cycle (SDLC), also referred to as the application development life cycle, is a process for planning, creating, testing, and deploying an information system. The SDLC concept applies to a range of hardware and software configurations, as a system can be composed of hardware only, software only, or a combination of both. There are usually six stages in this cycle: requirement analysis, design, development and testing, implementation, documentation, and evaluation.
Development communication refers to the use of communication to facilitate social development. Development communication engages stakeholders and policy makers, establishes conducive environments, assesses risks and opportunities and promotes information exchange to create positive social change via sustainable development. Development communication techniques include information dissemination and education, behavior change, social marketing, social mobilization, media advocacy, communication for social change, and community participation.
Scenario planning, scenario thinking, scenario analysis, scenario prediction and the scenario method all describe a strategic planning method that some organizations use to make flexible long-term plans. It is in large part an adaptation and generalization of classic methods used by military intelligence.
Program evaluation is a systematic method for collecting, analyzing, and using information to answer questions about projects, policies and programs, particularly about their effectiveness and efficiency.
Soft systems methodology (SSM) is an organised way of thinking that's applicable to problematic social situations and in the management of change by using action. It was developed in England by academics at the Lancaster Systems Department on the basis of a ten-year action research programme.
A feasibility study is an assessment of the practicality of a project or system. A feasibility study aims to objectively and rationally uncover the strengths and weaknesses of an existing business or proposed venture, opportunities and threats present in the natural environment, the resources required to carry through, and ultimately the prospects for success. In its simplest terms, the two criteria to judge feasibility are cost required and value to be attained.
Business analysis is a professional discipline focused on identifying business needs and determining solutions to business problems. Solutions may include a software-systems development component, process improvements, or organizational changes, and may involve extensive analysis, strategic planning and policy development. A person dedicated to carrying out these tasks within an organization is called a business analyst or BA.
Object-oriented analysis and design (OOAD) is a technical approach for analyzing and designing an application, system, or business by applying object-oriented programming, as well as using visual modeling throughout the software development process to guide stakeholder communication and product quality.
The rational planning model is a model of the planning process involving a number of rational actions or steps. Taylor (1998) outlines five steps, as follows:
DPSIR is a causal framework used to describe the interactions between society and the environment. It seeks to analyze and assess environmental problems by bringing together various scientific disciplines, environmental managers, and stakeholders, and solve them by incorporating sustainable development. First, the indicators are categorized into "drivers" which put "pressures" in the "state" of the system, which in turn results in certain "impacts" that will lead to various "responses" to maintain or recover the system under consideration. It is followed by the organization of available data, and suggestion of procedures to collect missing data for future analysis. Since its formulation in the late 1990s, it has been widely adopted by international organizations for ecosystem-based study in various fields like biodiversity, soil erosion, and groundwater depletion and contamination. In recent times, the framework has been used in combination with other analytical methods and models, to compensate for its shortcomings. It is employed to evaluate environmental changes in ecosystems, identify the social and economic pressures on a system, predict potential challenges and improve management practices. The flexibility and general applicability of the framework make it a resilient tool that can be applied in social, economic, and institutional domains as well.
Policy impact assessments, or simply impact assessments (IAs), are formal, evidence-based procedures that assess prospective economic, social, and environmental effects of a public policy proposal. They have been incorporated into policy making in the OECD countries and the European Commission. If the assessment is favourable, and the proposed policy is enacted—after a suitable length of time for the policy to gain traction—it might be followed by an impact evaluation; ideally, assessed impacts before the fact and evaluated impacts after the fact are not wildly divergent. In some cases, impact becomes politicized due to a change in the governing regime between assessment and evaluation, and non-congruence might be amplified for ideological reasons. In other cases, the world is a complex place, and assessment is not a perfect art.
Interactive planning is a concept developed by Russell L. Ackoff, an American theorist, early proponent of the field of operations research and recognized as the pioneer in systems thinking. Interactive planning forwards the idea that in order to arrive at a desirable future, one has to create a desirable present and create ways and means to resemble it. One of its unique features is that development should be ideal-oriented. Interactive planning is unlike other types of planning such as reactive planning, inactive planning, and preactive planning.
Robust decision-making (RDM) is an iterative decision analytics framework that aims to help identify potential robust strategies, characterize the vulnerabilities of such strategies, and evaluate the tradeoffs among them. RDM focuses on informing decisions under conditions of what is called "deep uncertainty", that is, conditions where the parties to a decision do not know or do not agree on the system models relating actions to consequences or the prior probability distributions for the key input parameters to those models.
Collaborative e-democracy refers to a hybrid democratic model combining elements of direct democracy, representative democracy, and e-democracy. This concept, first introduced at international academic conferences in 2009, offers a pathway for citizens to directly or indirectly engage in policymaking. Steven Brams and Peter Fishburn describe it as an "innovative way to engage citizens in the democratic process," that potentially makes government "more transparent, accountable, and responsive to the needs of the people."
The PRECEDE–PROCEED model is a cost–benefit evaluation framework proposed in 1974 by Lawrence W. Green that can help health program planners, policy makers and other evaluators, analyze situations and design health programs efficiently. It provides a comprehensive structure for assessing health and quality of life needs, and for designing, implementing and evaluating health promotion and other public health programs to meet those needs. One purpose and guiding principle of the PRECEDE–PROCEED model is to direct initial attention to outcomes, rather than inputs. It guides planners through a process that starts with desired outcomes and then works backwards in the causal chain to identify a mix of strategies for achieving those objectives. A fundamental assumption of the model is the active participation of its intended audience — that is, that the participants ("consumers") will take an active part in defining their own problems, establishing their goals and developing their solutions.
... it determines which of the various alternative public or government policies will most achieve a given set of goals in light of the relations between the policies and the goals and in light of politically feasible courses of action, it generates information and evidence in order to help the policymaker choose the most advantageous action ....