DO DEVELOPING FINANCIAL SERVICES AFFECT CORRUPTION?

SUMMARY

The study examines the relationship between the perception of corruption and financial inclusion, that is, the prevalence and use of modern financial services. The authors use Transparency International’s corruption index and the World Bank’s Global Findex database of financial inclusion. Based on the time series data of Hungary and Mexico between 2009-2022, statistical methods are used to examine the evolution of performance. First, they compare data by geographic region. The countries are then classified into clusters, and then the results of Mexico and Hungary are analysed. Based on the results, the authors did not find a direct correlation between the financial culture and the reduced perception of the severity of the corruption problem in the examined period.

2023. SPECIAL ISSUE 2 47-50

DOI: 10.24387/CI.2023.SPECIAL ISSUE 2.8

Cikk megtekintése: http://controllerinfo.hu/wp-content/uploads/2024/02/ContrInf_beliv_kulonszam_2023_2-8.pdf

REFERENCES

CHEN, H. – VOLPE, R. P. (2002): Gender differences in personal financial literacy among college students. Financial Services Review, 11(3), 289–307. link.gale.com/apps/doc/A149166047/AONE?u=anon~41b83dd7&sid=googleScholar&xid=46728ad3. Accessed 26 Dec. 2023. ISSN: 1057-0810

EC. (2022): Corruption (523; Special Eurobarometer, p. 105). European Commission. Directorate General for Migration and Home Affairs Publications Office. https://data.europa.eu/doi/10.2837/110098 Accessed 26 Nov. 2023 DOI: 10.2837/110098

ELŐD, F. (2020, January 23). Dél-Afrikával kerültünk egy szintre korrupcióban. (We are on par with South Africa in terms of corruption – in Hungarian) https://index.hu/gazdasag/2020/01/23/transparency_international_korrupcio_index_2020_korruptabb_lett_magyarorszag/ Accessed 26 Nov. 2023

FENYVESI, É. (2013): Az ezerarcú korrupció. (Corruption with a thousand faces – in Hungarian) In Hamar F. (Ed.), Multidiszciplináris Kihívások – Sokszínű válaszok (pp. 17–27). Budapesti Gazdasági Főiskola Kereskedelmi, Vendéglátóipari és Idegenforgalmi Kar Közgazdasági és Társadalomtudományi Intézeti Tanszéki Osztály. https://epa.oszk.hu/03400/03448/00002/pdf/EPA03448_multidiszciplinaris_2013_1_017-027.pdf Accessed 26 Nov. 2023. E-ISSN 2630-886X

HE, Y. – ZHANG, G. & HSU, C.-H. (2021): Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9780429156397  ISBN 9781498722063)

KOSSEV, K. (2020): OECD/INFE 2020 International Survey of Adult Financial Literacy (OECD/INFE, p. 78) [International Survey of Adult Financial Literacy]. OECD. https://www.oecd.org/financial/education/oecd-infe-2020-international-survey-of-adult-financial-literacy.pdf Accessed 26 Nov. 2023.

LAMBSDORFF, J. G. (2008): The Methodology of the Corruption Perceptions Index 2008. Transparency International. https://files.transparencycdn.org/images/2008_CPI_LongMethodology_EN.pdf Accessed 26 Nov. 2023.

LUSARDI, A. & MITCHELL, O. S. (2014): The Economic Importance of Financial Literacy: Theory and Evidence. Journal of Economic Literature, 52(1), 5-44., 52(1), 5–44. https://doi.org/10.3386/w18952 ISSN. 00220515

NAGY, G. (2018, January 31). A korrupció fogalma mérése és hatása. (The concept, measurement and impact of corruption – in Hungarian). https://transparency.hu/wp-content/uploads/2018/02/A-korrupcio-fogalma-merese-%C3%A9s-hatasa.pdf Accessed 26 Nov. 2023.

NÉMETH, E. – VARGHA, B. T. & PÁLYI, K. Á. (2019): Nemzetközi korrupciós rangsorok tudományos megbízhatósága. (Scientific reliability of international corruption rankings. – in Hungarian) Pénzügyi Szemle/Public Finance Quarterly, 64(3), 321–337. https://doi.org/10.35551/PSZ_2019_3_1 ISSN: 2064-8278

POLYA, G. (1920): Über den zentralen Grenzwertsatz der Wahrscheinlichkeitsrechnung und das Momentenproblem. Mathematische Zeitschrift, 8(3–4), 171–181. https://doi.org/10.1007/BF01206525  ISSN: 0025-5874

PORTFOLIO.HU. (2021, January 28). Hármas holtversenyben az EU legkorruptabb országa lett Magyarország a Transparency International indexe szerint. (In a three-way tie, Hungary became the most corrupt country in the EU according to Transparency International’s index. – in Hungarian) Portfolio.hu. https://www.portfolio.hu/unios-forrasok/20210128/harmas-holtversenyben-az-eu-legkorruptabb-orszaga-lett-magyarorszag-a-transparency-international-indexe-szerint-467224 Accessed 26 Nov. 2023.

RAHMAN, G. & ISLAM, Z. (2011): A Decision Tree-based Missing Value Imputation Technique for Data Pre-processing. CRPIT Volume 121 – Data Mining and Analytics 2011, 121, 41–50. https://crpit.scem.westernsydney.edu.au/confpapers/CRPITV121Rahman.pdf Accessed 26 Nov. 2023.  ISSN 2096-0654

RAHMAN, G. & ISLAM, Z. (2016): Missing value imputation using a fuzzy clustering-based EM approach. Knowledge and Information Systems, 46(2), 389–422. https://doi.org/10.1007/s10115-015-0822-y ISSN: 0219-1377

SAISANA, M. & SALTELLI, A. (2012): Corruption Perceptions Index 2012: An updated methodology. European Commission Joint Research Centre. https://www.transparency.org/files/content/pressrelease/2012_CPIUpdatedMethodology_EMBARGO_EN.pdf Accessed 26 Nov. 2023.

SÍK, E. (2001): A korrupció nagysága. (The extent of corruption – in Hungarian) In Csefkó F. & Horváth C. (Eds.), Korrupció Magyarországon (pp. 233–253). Virágmandula Kft. https://www.libri.hu/konyv/csefko_ferenc.korrupcio-magyarorszagon.html Accessed 26 Nov. 2023. ISBN: 2050000049460.

STOLTON, S. (2023, February 13). New York Times sues EU over von der Leyen’s Pfizer texts. POLITICO. https://www.politico.eu/article/new-york-times-sue-european-union-ursula-von-der-leyen-pfizer-texts/ Accessed 26 Nov. 2023.

SY, A. – MAINO, R. – MASSARA, A. – SAIZ, H. P. & SHARMA, P. (2019): FinTech in Sub-Saharan African Countries: A Game Changer? IMF Departmental Papers / Policy Papers, 19(04), 1. https://doi.org/10.5089/9781484385661.087 ISBN/ISSN:9781484385661/2616-5333

SZÁNTÓ, Z. (2018): Korrupció és integritás (Corruption and integrity – in Hungarian). Magyar Tudomány, 179(4), 453–457. https://doi.org/10.1556/2065.179.2018.3.1 ISSN 0025 0325

TRANSPARENCY INTERNATIONAL. (2023): Financial Statements for The Year Ended 31 December 2022 (p. 62). Transparency International. https://files.transparencycdn.org/images/2022-Financial-Statements.pdf Accessed 26 Nov. 2023.

VAN BUUREN, S. (2018): Flexible Imputation of Missing Data, Second Edition (2nd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9780429492259  ISBN 9781032178639

WAX, E. – BRAUN, E. & WHEATON, S. (2023, June 11). 11 key Qatargate players—Where are they now? POLITICO. https://www.politico.eu/article/qatargate-corruption-scandal-13-key-players-six-months-on-european-parliament/ Accessed 26 Nov. 2023.

Z/YEN, & CDI. (2016): The Global Financial Centres Index 20 (p. 56). Z/Yen Group & China Development Isntitute. ISBN

Z/YEN, & CDI. (2023): The Global Financial Centres Index 33 (p. 62). Z/Yen Group & China Development Isntitute. https://www.longfinance.net/publications/long-finance-reports/the-global-financial-centres-index-33/ Accessed 26 Nov. 2023. ISSN, ISBN