Evidence-based policy making is a well understood and accepted tenet of good governance. Policies and/or regulations should be always based on the best available information, data, analysis and scientific expertise and take into account all potential alternative solutions to a problem. However, government interventions, whether they are a policy, law, regulation or other type of “rule”, do not always fully consider their likely effects at the time of their development. In addition, government intervention has costs and there might be cases where those costs might outweigh the anticipated benefits. As a result, there are many instances of unintended consequences and ultimately negative impacts for citizens, businesses and society as a whole that could be avoided, and essentially result from badly designed interventions. Often, these negative impacts are felt more by smaller, unorganised, hard-to-reach, less well informed or marginalised constituents in society, which is detrimental to achieving inclusive growth, sustainable development, building trust and maintaining the integrity of the rule of law.
The policy-making environment has also become more complex and fast paced. Digital and shared economies, innovative industries, technological advancements, social media and not to mention the move of governments towards digitalisation have created challenges for ensuring and maintaining quality or at least fit-for-purpose regulatory frameworks. This is often within the context of limited public sector resources and increasing demands on administration.
If used systematically and as a government-wide approach, regulatory impact assessment (RIA) provides a critical tool to ensure greater quality of government intervention. In addition, the documentation and publication of the evidence and analysis to design interventions provides the opportunity to enhance accountability and transparency in the policy-making and decision-making processes. Regulatory impact assessment provides crucial information to decision makers on whether and how to regulate to achieve public policy goals (OECD, 2012[1]). It is challenging to develop “correct” policy responses which also maximise societal well‑being. It is the role of RIA to help assist with this, by critically examining the impacts and consequences of a range of alternative options. Improving the evidence base for regulation through RIA is one of the most important regulatory tools available to governments (OECD, 2012[1]).1
RIA also helps policymakers to defend decisions not to intervene in markets where the costs of doing so outweigh the benefits. RIA further helps defend policymakers’ decisions by presenting that there are in fact benefits to regulation – something that is often overlooked by society and governments. Implementing a functioning RIA framework might therefore represent an important step in a policy-change from ‘deregulation’ to more systemic ‘better’ or ‘smart regulation’.
The motivations for implementing RIA in some countries might also, either explicitly or implicitly, include a desire to impose greater discipline on the quasi-independent regulators and agencies with delegated powers to regulate, to increase democratic accountability of administrations, or even the bias against regulation (or, more narrowly, a desire to minimise compliance costs for business) or just international pressure. This document will mostly focus on the evidence-based policy-making rationale.
The use of RIA can also be viewed by government officials as a key part of the exercise of their professional responsibility to try to reduce the impact of their inevitable behavioural biases and errors on their analysis and advice, which might include:
framing and anchoring effects (our conclusions are affected by how the problem is framed, or our recent experience);
conformance and group-think (we trust those we like, and we generally wish to avoid conflict or maintain group solidarity);
over-confidence and optimism bias (we fail to identify knowledge gaps, and fail to assess what could go wrong);
confirmation bias and motivated reasoning (we amplify what suits us, and ignore or reinterpret what does not).
The evidence shows many challenges and shortcomings of RIA implementation. As pointed out in the 2018 Regulatory Policy Outlook, in many instances “RIA has become over-procedural and is not targeted to the most significant laws and regulations, either because there is no triage system or because regulatory proposals with significant impacts are exempted. Where assessments are undertaken, they often focus on narrowly defined economic impacts, such as regulatory burdens for business, ignoring other significant effects” (OECD, 2018[2]).
The OECD has produced a wide range of documents on RIA (see Box 1). In addition, the OECD Regulatory Reform Reviews of countries along with country programmes supporting RIA implementation have provided in-depth understanding of RIA “in the field”. The 2015 and 2018 Regulatory Policy Outlooks have provided further data on how RIA is being implemented and the challenges as well as successful strategies that are being utilised. Also, there is new evidence collected from the application of RIA to specific areas such as inclusive growth, trade, environmental policy and transport (Deighton-Smith, Erbacci and Kauffmann, 2016[3]); (Basedow and Kauffmann, 2016[4]).