Government failures and non-performing loans in European countries: a spatial approach

Purpose The purpose is to analyze the spatially varying impacts of corruption and public debt as % of GDP (proxies of government failures) on non-performing loans (NPLs) in European countries; comparing two periods: one prior to the crisis of 2007 and another one after that. The authors first modele...

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Published in:Journal of Economic Studies
Main Authors: Ofria, Ferdinando, Mucciardi, Massimo
Format: Article in Journal/Newspaper
Language:English
Published: Emerald 2021
Subjects:
Online Access:http://dx.doi.org/10.1108/jes-01-2021-0010
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spelling cremerald:10.1108/jes-01-2021-0010 2024-06-23T07:54:05+00:00 Government failures and non-performing loans in European countries: a spatial approach Ofria, Ferdinando Mucciardi, Massimo 2021 http://dx.doi.org/10.1108/jes-01-2021-0010 https://www.emerald.com/insight/content/doi/10.1108/JES-01-2021-0010/full/xml https://www.emerald.com/insight/content/doi/10.1108/JES-01-2021-0010/full/html en eng Emerald https://www.emerald.com/insight/site-policies Journal of Economic Studies volume 49, issue 5, page 876-887 ISSN 0144-3585 journal-article 2021 cremerald https://doi.org/10.1108/jes-01-2021-0010 2024-06-05T04:06:07Z Purpose The purpose is to analyze the spatially varying impacts of corruption and public debt as % of GDP (proxies of government failures) on non-performing loans (NPLs) in European countries; comparing two periods: one prior to the crisis of 2007 and another one after that. The authors first modeled the NPLs with an ordinary lest square (OLS) regression and found clear evidence of spatial instability in the distribution of the residuals. As a second step, the authors utilized the geographically weighted regression (GWR) to explore regional variations in the relationship between NPLs and the proxies of “Government failures”. Design/methodology/approach The authors first modeled the NPL with an OLS regression and found clear evidence of spatial instability in the distribution of the residuals. As a second step, the author utilized the Geographically Weighted Regression (GWR) (Fotheringham et al. , 2002) to explore regional variations in the relationship between NPLs and proxies of “Government failures” (corruption and public debt as % of GDP). Findings The results confirm that corruption and public debt as % of GDP, after the crisis of 2007, have affected significantly on NPLs of the EU countries and the following countries neighboring the EU: Switzerland, Iceland, Norway, Montenegro, and Turkey. Originality/value In a spatial prospective, unprecedented in the literature, this research focused on the impact of corruption and public debt as % of GDP on NPLs in European countries. The positive correlation, as expected, between public debt and NPLs highlights that fiscal problems in Eurozone countries have led to an important rise of problem loans. The impact of institutional corruption on NPLs reports that the higher the corruption, the higher is the level of NPLs. Article in Journal/Newspaper Iceland Emerald Norway Journal of Economic Studies ahead-of-print ahead-of-print
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description Purpose The purpose is to analyze the spatially varying impacts of corruption and public debt as % of GDP (proxies of government failures) on non-performing loans (NPLs) in European countries; comparing two periods: one prior to the crisis of 2007 and another one after that. The authors first modeled the NPLs with an ordinary lest square (OLS) regression and found clear evidence of spatial instability in the distribution of the residuals. As a second step, the authors utilized the geographically weighted regression (GWR) to explore regional variations in the relationship between NPLs and the proxies of “Government failures”. Design/methodology/approach The authors first modeled the NPL with an OLS regression and found clear evidence of spatial instability in the distribution of the residuals. As a second step, the author utilized the Geographically Weighted Regression (GWR) (Fotheringham et al. , 2002) to explore regional variations in the relationship between NPLs and proxies of “Government failures” (corruption and public debt as % of GDP). Findings The results confirm that corruption and public debt as % of GDP, after the crisis of 2007, have affected significantly on NPLs of the EU countries and the following countries neighboring the EU: Switzerland, Iceland, Norway, Montenegro, and Turkey. Originality/value In a spatial prospective, unprecedented in the literature, this research focused on the impact of corruption and public debt as % of GDP on NPLs in European countries. The positive correlation, as expected, between public debt and NPLs highlights that fiscal problems in Eurozone countries have led to an important rise of problem loans. The impact of institutional corruption on NPLs reports that the higher the corruption, the higher is the level of NPLs.
format Article in Journal/Newspaper
author Ofria, Ferdinando
Mucciardi, Massimo
spellingShingle Ofria, Ferdinando
Mucciardi, Massimo
Government failures and non-performing loans in European countries: a spatial approach
author_facet Ofria, Ferdinando
Mucciardi, Massimo
author_sort Ofria, Ferdinando
title Government failures and non-performing loans in European countries: a spatial approach
title_short Government failures and non-performing loans in European countries: a spatial approach
title_full Government failures and non-performing loans in European countries: a spatial approach
title_fullStr Government failures and non-performing loans in European countries: a spatial approach
title_full_unstemmed Government failures and non-performing loans in European countries: a spatial approach
title_sort government failures and non-performing loans in european countries: a spatial approach
publisher Emerald
publishDate 2021
url http://dx.doi.org/10.1108/jes-01-2021-0010
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geographic Norway
geographic_facet Norway
genre Iceland
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op_source Journal of Economic Studies
volume 49, issue 5, page 876-887
ISSN 0144-3585
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op_doi https://doi.org/10.1108/jes-01-2021-0010
container_title Journal of Economic Studies
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