Regulation in the COVID-19 pandemic and post-pandemic times: day-watchman tackling the novel coronavirus
Notice bibliographique
Résumé
Purpose While fighting with the novel coronavirus will not be the main goal of sectoral regulators, different regulatory authorities join the struggle by providing a regulatory response. The purpose of this paper is to address this regulatory response in pandemic gathered around eight thematic areas. Design/methodology/approach This paper discusses the regulatory response in pandemic gathered around eight thematic areas, namely, the objectives, rules and standards, authorization and permits, procedure, monitoring and surveillance, enforcement, accountability and an institution presenting regulatory actions to tackle coronavirus (COVID-19) in reference to day-watchman type regulation. Findings Tackling the COVID-19 pandemic should be a knowledge-based approach (taking as much as possible from best available practices with respect to the novel coronavirus) with a framework of rules, standards, authorization, permits and guidance, monitored and enforced in a way adjusted to conditions of the pandemic, being as safe (as non-physical, as online) as possible, with suspended or extended deadlines, free of unnecessary administrative burdens. In this way, regulation should be pragmatic and flexible, as under the day-watchman model. Research limitations/implications In a post-pandemic regime, in the short run, the regulators should try to minimize the social and economic challenges faced by consumers and entrepreneurs. Among them, one may find scaling back, at least temporarily, the rules developed in non-disaster contexts. However, in the end, the post-disaster reforms tended to strengthen regulators’ hands, also under the deregulated government. The day-watchman type regulation balances both, as a middle ground approach, being a bridge between “a total subordination” and “a complete release.” Practical implications The disaster management (including public law regulation) provided by public authorities when tackling the effects of hurricanes, earthquakes or tsunamis can be a benchmark for regulatory responses to the COVID-19 pandemic. This concerns the support offered to entities and individuals affected by the negative consequences of reducing or stopping their businesses and staying in isolation. Social implications The day-watchman approach, visible in certain examples of public response to COVID-19 may serve as a framework for establishing a regulatory regime that would automatically take effect in case of another pandemic, limiting delays in regulatory actions, reducing non-compliance and accelerating recovery. Originality/value This study provides an analysis of different theories on public regulation addressing the notion of regulation using the day-watchman theory, which could be applied in regulatory actions during a pandemic. The paper discusses concrete steps taken by regulatory authorities worldwide, bringing examples from the USA, Canada, the UK, France, China, Japan, Australia and New Zealand. It juxtaposes the regulatory experiences derived from different catastrophes such as hurricanes, earthquakes or tsunamis with the regulatory response in a pandemic.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,021 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,014 |
| Communication savante | 0,009 | 0,007 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,005 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».