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An empirical analysis using new instrumental variable methods of distributional effects of corruption on public expenditures in developing countries
This study analyses the distributional effects of corruption on public spending in developing countries. It hypothesized that public expenditures with long and complex budgetary procedures are more prone to corruption. However, the new instrumental variables method proposed by Norkute et al. (J Econ...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961305/ https://www.ncbi.nlm.nih.gov/pubmed/36874929 http://dx.doi.org/10.1007/s43546-023-00452-1 |
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author | Sombie, Ardjouma |
author_facet | Sombie, Ardjouma |
author_sort | Sombie, Ardjouma |
collection | PubMed |
description | This study analyses the distributional effects of corruption on public spending in developing countries. It hypothesized that public expenditures with long and complex budgetary procedures are more prone to corruption. However, the new instrumental variables method proposed by Norkute et al. (J Economet 10.1016/j.jeconom.2020.04.008, 2021), was used to correct for the endogenous nature of corruption and the cross-sectional dependence bias of the panel units. The empirical analysis involved data from a sample of 40 countries, observed over the period 2005–2018. The main results show that the bias induced by corruption on the allocation of public expenditure depends as much on the opportunity offered by the expenditure in terms of payment of bribes as on the recipient of this expenditure. Investment spending with complex procedures is favored by corrupt bureaucrats over current spending. Wages and salaries are favored by corruption because they increase the financial benefits of bureaucrats. National and international anti-corruption institutions need to pay particular attention to the channels through which these public expenditure components are processed to establish greater transparency. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43546-023-00452-1. |
format | Online Article Text |
id | pubmed-9961305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-99613052023-02-28 An empirical analysis using new instrumental variable methods of distributional effects of corruption on public expenditures in developing countries Sombie, Ardjouma SN Bus Econ Original Article This study analyses the distributional effects of corruption on public spending in developing countries. It hypothesized that public expenditures with long and complex budgetary procedures are more prone to corruption. However, the new instrumental variables method proposed by Norkute et al. (J Economet 10.1016/j.jeconom.2020.04.008, 2021), was used to correct for the endogenous nature of corruption and the cross-sectional dependence bias of the panel units. The empirical analysis involved data from a sample of 40 countries, observed over the period 2005–2018. The main results show that the bias induced by corruption on the allocation of public expenditure depends as much on the opportunity offered by the expenditure in terms of payment of bribes as on the recipient of this expenditure. Investment spending with complex procedures is favored by corrupt bureaucrats over current spending. Wages and salaries are favored by corruption because they increase the financial benefits of bureaucrats. National and international anti-corruption institutions need to pay particular attention to the channels through which these public expenditure components are processed to establish greater transparency. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s43546-023-00452-1. Springer International Publishing 2023-02-25 2023 /pmc/articles/PMC9961305/ /pubmed/36874929 http://dx.doi.org/10.1007/s43546-023-00452-1 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Sombie, Ardjouma An empirical analysis using new instrumental variable methods of distributional effects of corruption on public expenditures in developing countries |
title | An empirical analysis using new instrumental variable methods of distributional effects of corruption on public expenditures in developing countries |
title_full | An empirical analysis using new instrumental variable methods of distributional effects of corruption on public expenditures in developing countries |
title_fullStr | An empirical analysis using new instrumental variable methods of distributional effects of corruption on public expenditures in developing countries |
title_full_unstemmed | An empirical analysis using new instrumental variable methods of distributional effects of corruption on public expenditures in developing countries |
title_short | An empirical analysis using new instrumental variable methods of distributional effects of corruption on public expenditures in developing countries |
title_sort | empirical analysis using new instrumental variable methods of distributional effects of corruption on public expenditures in developing countries |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961305/ https://www.ncbi.nlm.nih.gov/pubmed/36874929 http://dx.doi.org/10.1007/s43546-023-00452-1 |
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