Cargando…

Social capital predicts corruption risk in towns

Corruption is a social plague: gains accrue to small groups, while its costs are borne by everyone. Significant variation in its level between and within countries suggests a relationship between social structure and the prevalence of corruption, yet, large-scale empirical studies thereof have been...

Descripción completa

Detalles Bibliográficos
Autores principales: Wachs, Johannes, Yasseri, Taha, Lengyel, Balázs, Kertész, János
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502378/
https://www.ncbi.nlm.nih.gov/pubmed/31183137
http://dx.doi.org/10.1098/rsos.182103
_version_ 1783416255750864896
author Wachs, Johannes
Yasseri, Taha
Lengyel, Balázs
Kertész, János
author_facet Wachs, Johannes
Yasseri, Taha
Lengyel, Balázs
Kertész, János
author_sort Wachs, Johannes
collection PubMed
description Corruption is a social plague: gains accrue to small groups, while its costs are borne by everyone. Significant variation in its level between and within countries suggests a relationship between social structure and the prevalence of corruption, yet, large-scale empirical studies thereof have been missing due to lack of data. In this paper, we relate the structural characteristics of social capital of settlements with corruption in their local governments. Using datasets from Hungary, we quantify corruption risk by suppressed competition and lack of transparency in the settlement’s awarded public contracts. We characterize social capital using social network data from a popular online platform. Controlling for social, economic and political factors, we find that settlements with fragmented social networks, indicating an excess of bonding social capital has higher corruption risk, and settlements with more diverse external connectivity, suggesting a surplus of bridging social capital is less exposed to corruption. We interpret fragmentation as fostering in-group favouritism and conformity, which increase corruption, while diversity facilitates impartiality in public life and stifles corruption.
format Online
Article
Text
id pubmed-6502378
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-65023782019-06-10 Social capital predicts corruption risk in towns Wachs, Johannes Yasseri, Taha Lengyel, Balázs Kertész, János R Soc Open Sci Physics Corruption is a social plague: gains accrue to small groups, while its costs are borne by everyone. Significant variation in its level between and within countries suggests a relationship between social structure and the prevalence of corruption, yet, large-scale empirical studies thereof have been missing due to lack of data. In this paper, we relate the structural characteristics of social capital of settlements with corruption in their local governments. Using datasets from Hungary, we quantify corruption risk by suppressed competition and lack of transparency in the settlement’s awarded public contracts. We characterize social capital using social network data from a popular online platform. Controlling for social, economic and political factors, we find that settlements with fragmented social networks, indicating an excess of bonding social capital has higher corruption risk, and settlements with more diverse external connectivity, suggesting a surplus of bridging social capital is less exposed to corruption. We interpret fragmentation as fostering in-group favouritism and conformity, which increase corruption, while diversity facilitates impartiality in public life and stifles corruption. The Royal Society 2019-04-03 /pmc/articles/PMC6502378/ /pubmed/31183137 http://dx.doi.org/10.1098/rsos.182103 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Physics
Wachs, Johannes
Yasseri, Taha
Lengyel, Balázs
Kertész, János
Social capital predicts corruption risk in towns
title Social capital predicts corruption risk in towns
title_full Social capital predicts corruption risk in towns
title_fullStr Social capital predicts corruption risk in towns
title_full_unstemmed Social capital predicts corruption risk in towns
title_short Social capital predicts corruption risk in towns
title_sort social capital predicts corruption risk in towns
topic Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502378/
https://www.ncbi.nlm.nih.gov/pubmed/31183137
http://dx.doi.org/10.1098/rsos.182103
work_keys_str_mv AT wachsjohannes socialcapitalpredictscorruptionriskintowns
AT yasseritaha socialcapitalpredictscorruptionriskintowns
AT lengyelbalazs socialcapitalpredictscorruptionriskintowns
AT kerteszjanos socialcapitalpredictscorruptionriskintowns