2021
DOI: 10.1080/00343404.2021.1902975
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Measuring regional quality of government: the public spending quality index based on government contracting data

Abstract: Government contracting is crucial for defining the quality of government and public services because it amounts to about 29% of government spending. However, regional quality of government indicators, especially for public spending, are largely missing. We assess the quality of public spending by transparency, competition, efficiency and corruption using a novel database of 4 million contracts from the EU-28 between 2006 and 2015. We find that public spending quality is associated with gross domestic product (… Show more

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Cited by 17 publications
(9 citation statements)
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“…These and other similar red flags or corruption risk indicators, as they are referred to in the literature, predict low levels of competition and high prices [Fazekas and Kocsis, 2020]. In aggregate, the share of procurement awarded as single-bid contracts is significantly correlated with national and regional measures [Fazekas and Czibik, 2021] of corruption drawn from surveys or measures of institutions.…”
Section: Measuring Corruption Via Procurement Datamentioning
confidence: 74%
“…These and other similar red flags or corruption risk indicators, as they are referred to in the literature, predict low levels of competition and high prices [Fazekas and Kocsis, 2020]. In aggregate, the share of procurement awarded as single-bid contracts is significantly correlated with national and regional measures [Fazekas and Czibik, 2021] of corruption drawn from surveys or measures of institutions.…”
Section: Measuring Corruption Via Procurement Datamentioning
confidence: 74%
“…We are thus confident that the GSPS contributes to the growing set of micro datasets available to study governments around the world (cf. Baig et al, 2021; Charron et al, 2021; Fazekas & Czibik, 2021), and offers a sea change in micro data availability to study comparative civil service management and organizational behavior in particular.…”
Section: Discussionmentioning
confidence: 99%
“…As in previous studies (Alexander et al, 2020;Charron et al, 2015Charron et al, , 2019Charron et al, , 2021Fazekas & Czibik, 2021), we rely on corruption and public governance quality data from "The Quality of Government EU Regional Dataset -version Sep16" (Charron et al, 2016). These data are disaggregated by nomenclature of territorial units for statistics (NUTS) 1 for Germany and for NUTS 2 for Italy and France.…”
Section: Methodsmentioning
confidence: 99%