Integrating Structural Risk Analysis into GRECO Evaluations: Methodological Refinement within the Council of Europe Anti-Corruption Framework "Methodological Refinement"

The Council of Europe anti-corruption framework, articulated through the Criminal Law Convention on Corruption, the Civil Law Convention on Corruption, and the monitoring mechanism of the Group of States against Corruption (GRECO), combines specific legal obligations with periodic compliance evaluation. While corruption is institutionally recognized as capable of generating structural effects on the functioning of the rule of law, monitoring practices remain primarily focused on conduct-based compliance. This paper identifies a methodological tension between structural diagnosis and individualized verification. Building on an analytical distinction between conduct-based and structural assessment, the study proposes a two-level evaluation model designed to enhance monitoring coherence within GRECO’s existing mandate. The proposal does not advocate treaty reform or normative expansion, but suggests methodological refinement through the integration of institutional risk indicators and contextual information already available within the Council of Europe system. The paper aims to contribute to technical reflection on strengthening the preventive dimension of European anti-corruption monitoring while preserving legal certainty and institutional balance.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-05
DOI
https://doi.org/10.5281/zenodo.18871430
Primary Topic
Corruption and Economic Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating Structural Risk Analysis into GRECO Evaluations: Methodological Refinement within the Council of Europe Anti-Corruption Framework "Methodological Refinement"

Javier Marzal
Zenodo (CERN European Organization for Nuclear Research)
Corruption and Economic Development
article

Integrating Structural Risk Analysis into GRECO Evaluations: Methodological Refinement within the Council of Europe Anti-Corruption Framework "Methodological Refinement"

Javier Marzal
article en

Abstract

The Council of Europe anti-corruption framework, articulated through the Criminal Law Convention on Corruption, the Civil Law Convention on Corruption, and the monitoring mechanism of the Group of States against Corruption (GRECO), combines specific legal obligations with periodic compliance evaluation. While corruption is institutionally recognized as capable of generating structural effects on the functioning of the rule of law, monitoring practices remain primarily focused on conduct-based compliance. This paper identifies a methodological tension between structural diagnosis and individualized verification. Building on an analytical distinction between conduct-based and structural assessment, the study proposes a two-level evaluation model designed to enhance monitoring coherence within GRECO’s existing mandate. The proposal does not advocate treaty reform or normative expansion, but suggests methodological refinement through the integration of institutional risk indicators and contextual information already available within the Council of Europe system. The paper aims to contribute to technical reflection on strengthening the preventive dimension of European anti-corruption monitoring while preserving legal certainty and institutional balance.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 40%
Corruption and Economic Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.