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European Policy Analysis
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Decision‐making traps behind low regional absorption of Cohesion Policy funds

Authors: Giovanni Cunico; Eirini Aivazidou; Edoardo Mollona;

Decision‐making traps behind low regional absorption of Cohesion Policy funds

Abstract

AbstractWithin European Cohesion Policy, some regions manifest chronic problems with absorbing structural funds, probably due to inadequate administrative capacity. Despite the continuous assistance to improve capacity and the accumulation of learning and experience, poor performances still persist in some territories, rendering the initial explanation partial. By collecting (reports' analysis and field research), consolidating (grounded theory), and mapping (system dynamics) two Italian regions with contrasting absorption performance, this study investigates how regional authorities may be trapped in systemic decision‐making structures that prioritize short‐term outcomes perpetuating low absorption rates. Within a multilevel‐governance context, we suggest that these decision‐making traps stem from the discrepancy between European and local policy‐makers' mental models; although European policies aim to promote timely absorption, sometimes they fail to acknowledge local authorities' actual agenda and may unintentionally prompt regions to overemphasize short term funds' expenditure instead of improving administrative capacity in the long term.

Country
Italy
Keywords

absorption rate; mental models; multilevel governance; regional performance; structural funds

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
Green
hybrid