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Post-crisis Emergency Legislation Consolidation: Regulatory Quality Principles for Good Times Only?

Published online by Cambridge University Press:  23 October 2023

Katarina Staronova*
Affiliation:
Institute of Public Policy, Faculty of Social and Economic Sciences, Comenius University Bratislava, Bratislava, Slovakia
Nina Lacková
Affiliation:
Institute of Public Policy, Faculty of Social and Economic Sciences, Comenius University Bratislava, Bratislava, Slovakia
Matúš Sloboda
Affiliation:
Institute of Public Policy, Faculty of Social and Economic Sciences, Comenius University Bratislava, Bratislava, Slovakia
*
Corresponding author: Katarina Staronova; Email: katarina.staronova@fses.uniba.sk
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Abstract

This article analyses how emergency legislation has affected law-making and regulatory quality principles (RQPs) before, during and after the COVID-19 pandemic (2019–2021) from stakeholders’ perspectives. It takes Slovakia as a case study, as this country was considered a high performer in the adoption of RQPs before the crisis, while empirical findings suggest a subsequent decline in their use. We argue that formal RQPs are not deeply embedded and are vulnerable to crises. In doing so, we conceptually distinguish between standard (fully following the RQPs), emergency (modified to accommodate crisis) and non-standard law-making (violating formal rules and the RQPs). In the transition from a crisis to a post-crisis context, the deployment of both emergency and non-standard law-making has become relatively permanent without proper justification having been provided. This reinforces the notion that RQPs and governance legitimacy became less important for the executive than in the pre-crisis period and emergency and non-standard regulatory law-making became institutionalised as new norms of swift law-making. All of these factors prevent stakeholders from being informed and from engaging in deliberation, which jeopardises the legitimacy of post-crisis law-making governance.

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Type
Articles
Copyright
© The Author(s), 2023. Published by Cambridge University Press
Figure 0

Figure 1. National ranking in terms of regulatory quality principle adoption, 2021 (see online for colour).Source: OECD Indicators of Regulatory Policy and Governance Surveys (iREG; http://oe.cd/ireg).

Figure 1

Figure 2. Composite indicators: Stakeholder Engagement in Developing Primary Laws, 2018 (see online for colour).Source: OECD Indicators of Regulatory Policy and Governance Surveys (iREG; http://oe.cd/ireg).

Figure 2

Table 1. Codebook – a list of variables, their description and their values.

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Table 2. Law-making types.

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Figure 3. Publication (transparency) by different time periods.Note: n = 536. A chi-square test of independence was performed to examine the relationship between transparency (standard, emergency, non-standard procedures) and COVID-19 waves/non-emergency periods. The relationship between these variables was significant (χ2(8, n = 536) = 153.63, p < 0.0001). To measure association between variables, we used Cramér’s V statistic, and the association was moderate (Cramér’s V = 0.38).Source: the authors, data from Open Government Portal.

Figure 5

Figure 4. Publication (transparency) as a response to COVID-19 issues.Note: n = 536, only legislative drafts from the government. A chi-square test of independence was performed to examine the relation between transparency (standard, emergency, non-standard procedures) and COVID-19 response legislation. The relationship between these variables was significant (χ2(8, n = 536) = 286.41, p < 0.0001). To measure the association between variables we used Cramér’s V statistic, and the association was moderate (Cramér’s V = 0.517).Source: the authors, data from Open Government Portal.

Figure 6

Figure 5. Participation (accessible on the governmental e-platform Slov-lex).Note: n = 536. A chi-square test of independence was performed to examine the relationship between access to law-making on the e-platform Slov-lex and COVID-19 crisis/post-crisis periods. The relationship between these variables was significant (χ2(4, n = 536) = 137.33, p < 0.0001). To measure association between variables, we used Cramér’s V statistic, and the association was moderate (Cramér’s V = 0.506).Source: the authors, data from the Slov-lex platform.

Figure 7

Figure 6. Participation for COVID-19 items (accessible on the governmental e-platform Slov-lex).Note: n = 536, only legislative drafts from the government. A chi-square test of independence was performed to examine the relation between access to law-making and COVID-19-related legislation. The relationship between these variables was significant (χ2(4, n = 536) = 283.07, p < 0.0001). To measure the association between the variables we used Cramér’s V statistic (both variables are nominal scale, Cramér’s V = 0.731, which indicates a strong association).Source: the authors, data from the Slov-lex platform.

Supplementary material: File

Staronova et al. supplementary material

Tables S1-S4

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