Legislative Bias and RIA Case Study of Article 17 CDSM in Czech Republic, Public Choice Theory and Cognitive Biases

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14220%2F25%3A00142450" target="_blank" >RIV/00216224:14220/25:00142450 - isvavai.cz</a>

Výsledek na webu

<a href="https://viennalawreview.com/index.php/vlr/article/view/9850" target="_blank" >https://viennalawreview.com/index.php/vlr/article/view/9850</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.25365/vlr-2025-9-3-169" target="_blank" >10.25365/vlr-2025-9-3-169</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Legislative Bias and RIA Case Study of Article 17 CDSM in Czech Republic, Public Choice Theory and Cognitive Biases

Popis výsledku v původním jazyce

Regulatory impact assessment (RIA) is a regular part of modern lawmakers' toolkit aiming to improve legislation and promote efficient decision-making by supporting the creation of evidence-based policies. RIA is a systemic evidence-based approach that employs empirical methodology to assess the proposed legislation and its alternatives. In its very essence, it requires legislators to perform and document a cost-benefit analysis. Research explores RIA processes and the challenges characteristic to RIA in a case study of the transposition of Article 17 CDSM Directive in the Czech Republic. Article 17 CDSM is a substantive legislation that shapes online copyright and the use of user-generated content. The article identifies the forces and biases that negatively impact RIA using the tools of law &amp; economics. First, the research employs public choice theory to analyze the problem of regulatory capture. Second, the article offers insight from behavioral economics on the influence of cognitive biases on the RIA. These findings inform and enrich practical legislative processes and promote good law-making. To this end, the article proposes strategies that mitigate RIA's risks and challenges. As such, the findings translate outside the Czech Republic, where the case study was performed.

Název v anglickém jazyce

Legislative Bias and RIA Case Study of Article 17 CDSM in Czech Republic, Public Choice Theory and Cognitive Biases

Popis výsledku anglicky

Regulatory impact assessment (RIA) is a regular part of modern lawmakers' toolkit aiming to improve legislation and promote efficient decision-making by supporting the creation of evidence-based policies. RIA is a systemic evidence-based approach that employs empirical methodology to assess the proposed legislation and its alternatives. In its very essence, it requires legislators to perform and document a cost-benefit analysis. Research explores RIA processes and the challenges characteristic to RIA in a case study of the transposition of Article 17 CDSM Directive in the Czech Republic. Article 17 CDSM is a substantive legislation that shapes online copyright and the use of user-generated content. The article identifies the forces and biases that negatively impact RIA using the tools of law &amp; economics. First, the research employs public choice theory to analyze the problem of regulatory capture. Second, the article offers insight from behavioral economics on the influence of cognitive biases on the RIA. These findings inform and enrich practical legislative processes and promote good law-making. To this end, the article proposes strategies that mitigate RIA's risks and challenges. As such, the findings translate outside the Czech Republic, where the case study was performed.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

—

OECD FORD obor

50501 - Law

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

University of Vienna Law Review

ISSN

2521-3962

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

25

Strana od-do

169-193

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—