Determinants of corruption: a panel data analysis of Visegrad countries
Keywords:corruption, control of corruption, determinants, panel data analysis, Visegrad countires
Research background: Corruption is a phenomenon that has no borders, thus hindering the proper functioning of the social, economic, and legal systems of a given state. As the rankings assessing the level of corruption in various countries show, transition economies are more vulnerable to corruption than countries that have not undergone changes in the political and economic order. The Visegrad group is an example of such countries. Despite their efforts, these countries? governments have yet to match the evaluation of corruption indices for developed European countries.
Purpose of the article: This study analyses the determinants of corruption in Visegrad countries to identify which determinants are the most impactful and thus should be the focus of Visegrad countries?governments when creating anti-corruption policies.
Methods: Data for the period 1996?2019 from the databases of the World Bank, Transparency International, and the European Central Bank were used for panel data analysis. The study uses a comprehensive set of economic, socio-cultural, and political determinants that can influence corruption. The purpose of this large set of variables is to prevent possible distortion owing to omitted variables.
Findings & value added: The results of the analysis of panel data show the main determinants of corruption in Visegrad countries are economic, political, and socio-cultural (phase of economic development, openness of the economy, size of the public sector, degree of urbanization, and women's share in the labour force). A significant effect was also demonstrated in the case of regulatory quality and public sector wages. The findings can serve as a valuable resource for policymakers to develop government policies in individual countries and to implement effective anti-corruption tools.
Aidt, T. S. (2009). Corruption, institutions, and economic development. Oxford Review of Economic Policy, 25(2), 271?291. doi: 10.1093/oxrep/grp012.
Awan, R. U., Akhtar, T., Rahim, S., Sher, F., & Cheema, A. R. (2018). Governance, corruption and economic growth. Pakistan Economic and Social Review, 56(1), 1?20. doi: 10.1006/jcec.2000.1703.
Baltagi, B.H. (2005). Econometric analysis of panel data. Chichester, West Sussex: JW & Sons, England.
Bentzen, J. S. (2012). How bad is corruption? Cross?country evidence of the impact of corruption on economic prosperity. Review of Development Economics, 16(1), 167?184. doi: 10.1111/j.1467-9361.2011.00653.x.
Billger, S., & Goel, R. (2009). Do existing corruption levels matter in controlling corruption?: Cross-country quantile regression estimates. Journal of Development Economics, 90(2), 299?305. doi: 10.1016/j.jdeveco.2008.07.006.
Bitterhout, S., & Simo-Kengne, B. D. (2020). The effect of corruption on economic growth in the BRICS countries. A panel data analysis. University of Johannesburg, EDWRG Working Paper, 03-2020.
Blagojevič, S., & Damijan, J. P. (2013). The impact of corruption and ownership on the performance of firms in Central and Eastern Europe. Post-Communist Economies, 25(2), 133?158. doi: 10.1080/14631377.2013.787734.
Corrado, G., & Rossetti, F. (2018). Public corruption: a study across regions in Italy. Journal of Policy Modeling, 40(6), 1126?1139. doi: 10.1016/j.jpolmo d.2018.01.001.
Davies, A., & Lahiri, K. (1995). A new framework for testing rationality and measuring aggregate shocks using panel data. Journal of Econometrics, 68(1), 205?227. doi: 10.1016/0304-4076(94)01649-K.
Deyshappriya, N. P. (2015). Do corruption and peace affect economic growth? Evidences from the cross-country analysis. Journal of Social and Economic Development, 17(2), 135?147. doi: 10.1007/s40847-015-0016-1.
Elbahnasawy, N., & Revier, Ch.F. (2012). The determinants of corruption: cross-country-panel-data analysis. Developing Economies, 50(4), 311?33. doi: 10.111 1/j.1746-1049.2012.00177.x.
European Central Bank (2022). Public sector wage. Retrieved from https://sdw.e cb.europa.eu/ (02.03.2022).
Feruni, N., Hysa, E., Panait, M., Radulescu, I. G., & Brezoi, A. (2020). The impact of corruption, economic freedom and urbanization on economic development: Western Balkans versus EU-27. Sustainability, 12(22), 9743. doi: 10.3390/su 12229743.
Fisman, R., & Gatti, R. (2002). Decentralization and corruption: evidence across countries. Journal of Public Economics, 83, 325?345. doi: 10.1016/S0047-2727 (00)00158-4.
Ghaniy, N., & Hastiadi, F.F. (2016). Political, social and economics determinants of corruption. University of Indonesia, Working Paper in Economics and Business, V(4/2016).
Greene, W. H. (2003). Econometric analysis. New Jersey: Prentice-Hall.
Holmes, L. (1999). Corruption, weak states and economic rationalism in Central and Eastern Europe. Melbourne: University of Melbourne.
Hsiao, C. (2007). Panel data analysis?advantages and challenges. Test, 16(1), 1?22. doi: 10.1007/s11749-007-0046-x.
Hsiao, C. (2014). Analysis of panel data. Cambridge: Cambridge University Press.
Jaba, E., Robu, I. B., & Balan, C. B. (2017). Panel data analysis applied in financial performance assessment. Romanian Statistical Review, 65(2), 3?20.
Kasik, J. (2013). Corruption as an actual problem of economic environment in the Czech Republic. Actual Problems of Economics, 143(5), 287?291.
Kaufmann, D., Kraay, A., & Mastruzzi, M. (2010). The worldwide governance indicators: methodology and analytical issues. World Bank Working Paper 5430.
Kaufmann, D., Kraay, A., & Mastruzzi, M. (2006). Governance matters V: aggregate and individual governance indicators for 1996-2005. Washington, DC: The World Bank.
Knack, S., & Azfar, O. (2003). Trade intensity, country size and corruption. Economics of Governance, 4(1), 1?18. doi: 10.1007/S101010200051.
Knack, S., & Omar A. (2000). Are larger countries really more corrupt? World Bank Policy Research Working Paper, 2470.
Kotlánová, E., & Kotlán I. (2013). Determinants of corruption: a dynamic panel analysis. In Proceeding of 21st international business information management association confrence on visin 2020. Innovation, development sustainability, and economic growth. Vienna: University of Technology, 660?667.
Krajewska, A., & Makowski, G. (2017). Corruption, anti-corruption and human rights: the case of Poland's integrity systém. Crime Law and Social Change, 68(3), 325?339. doi: 10.1007/s10611-017-9710-6.
Kwong, J. (2015). The political economy of corruption in China. London: Routledge.
Laurent, H. (2021). Corruption and politicians' horizon. Economics of Governance, 22(1), 65?91. doi: 10.1007/s10101-021-00250-1.
Lederman, D., Loayza, N. V., & Soares, R. R. (2005). Accountability and corruption: political institutions matter. Economics & Politics, 17(1), 1?35. doi: 10.11 11/j.1468-0343.2005.00145.x.
Lendvorský, M., Mališová, D., Pekár, B., Mikušová Meričková, B., & Štrangfeldová, J. (2021). Legal responsibility for corrupt practices with an impact on the enforcement of political accountability: case study of Slovakia. Scientific Papers of the University of Pardubice, Series D, Faculty of Economics and Administration, 29(3), 1395. doi: 0.46585/sp29031395.
Linhartová, V., & Volejníková, J. (2015). Quantifying corruption at a subnational level. Economics and Management, 18(2), 25?39. doi: 10.15240/tul/001/2015-2-003.
Liptakova, K. (2020). Options for quantitation public sector corruption in Slovakia and in the Czech Republic. Politicke Vedy, 23(1), 81?102. doi: 10.24040/politic kevedy.2020.23.1.81-102.
Matei, L., & Matei, A. (2009). Corruption in the public organizations. Towards a model of cost-benefit analysis for the anticorruption strategies. Transylvanian Review of Administrative Sciences, 27E, 145?171.
Meyer-Sahling, J. H., & Mikkelsen, K. S. (2020). Codes of ethics, disciplinary codes, and the effectiveness of anti-corruption frameworks: evidence from a survey of civil servants in Poland. Review of Public Personnel Administration. Advance online publication. doi: 10.1177/0734371X20949420.
Meyer, D. F. (2019). A quantitative assessment of the impact of government activities on the economy of Poland. Journal of Eastern European and Central Asian Research, 6(2), 220?233. doi: 10.15549/jeecar.v6i2.338.
Merickova, B. M., Bastekova, A., Stejskal, J., & Pekar, B. (2017). Economic, political, social factor of corruption in the Slovak Republic. Nispacee Journal of Public Administration and Policy, 10(1), 99?120. doi: 10.1515/nispa-2017-0005.
Moene, K., & S?reide, T. (2016). Corruption control. Crime, Law and Social Change, 66(2), 147?163. doi: 10.1007/s10611-016-9618-6.
Moldogaziev, T. T., & Liu, Ch. (2020). Public sector corruption and perceived government performance in transition. Governance-An International Journal of Policy Administration and Institutions, 34(2), 475?504. doi: 10.1111/gove.12 519.
Montes, G. C., & Paschoal, P. C. (2016). Corruption: what are the effects on government effectiveness? Empirical evidence considering developed and developing countries. Applied Economics Letters, 23(2), 146?150. doi: 10.1080/135048 51.2015.1058900.
Mustapha, N. (2014). The impact of corruption on GDP per capita. Journal of Eastern European and Central Asian Research, 1(2), 1?5. doi: 10.15549/jeeca r.v1i2.76.
Naxera, V. (2020). About the space of corruption opportunities: when, where and how it is created in the Czech Republic. Sociologicky Casopis-Czech Sociological Review, 56(5), 671?673.
Němec, D., Kotlánová, E., Kotlán, I., & Machová, Z. (2021). Corruption, taxation and the impact on the shadow economy. Economies, 9(1), 18. doi: 10.3390/ec onomies9010018.
Nowak, R. (2001). Corruption and transition economies. Economic analysis division. Bucharest: United Nations Economic Commission for Europe.
Nye, J. S. (1967). Corruption and political development: a cost-benefit analysis. American Political Science Review, 61(2), 417?427.
Ochulor, C. L. (2011). Ethical and moral implications of corruption. Canadian Social Science, 7(5), 223?228.
Olken, B.A. (2009). Corruption perceptions vs. corruption reality. Journal of Public Economics, 93(7/8), 950?964. doi: 10.1016/j.jpubeco.2009.03.001.
Park, H. (2003). Determinants of corruption: a cross-national analysis. Multinational Business Review, 11(2), 29?48. doi: 10.1108/1525383X2003000 10.
Picón, C., & Boehm, F. (2019). Do the determinants of corruption differ between countries with different levels of corruption? A cross-country quantile regression analysis. Revista de Economía del Caribe, 23, 88?100. doi: 10.14482/eco ca.23.3604.
Pirvu, D. (2015). Corruption: profile of political companies in Romania. Acta Oeconomica, 65(1), 65?82. doi: 10.1556/032.65.2015.S1.5.
Pirro, A. L. P., & Della Porta, D. (2021). On corruption and state capture: the struggle of anti-corruption activism in Hungary. Europe-Asia Studies, 73(3), 433?450. doi: 10.1080/09668136.2020.1798684.
Popova, M., & Post, V. (2018). Prosecuting high-level corruption in Eastern Europe. Communist and Post-Communist Studies, 51(3), 231?244. doi: 10.1016/j. postcomstud.2018.06.004.
Senaviratna, N. A. M. R., & Cooray, T. M. J. A. (2019). Diagnosing multicollinearity of logistic regression model. Asian Journal of Probability and Statistics, 5(2),1?9. doi: 10.9734/ajpas/2019/v5i230132.
Serra, D. (2006). Empirical determinants of corruption: a sensitivity analysis. Public Choice, 126(1-2), 225?256. doi: 10.1007/s11127-006-0286-4.
Sicakova-Beblava, E., & Beblavy, M. (2016). Using government manifestos to analyse the political salience and shape of anti-corruption policies in the Czech Republic and Slovakia. Policy Studies, 37(4), 295?313. doi: 10.1080/01442872. 2016.1146247.
Snegovaya, M. (2020). Voice or exit? Political corruption and voting intentions in Hungary. Democratization, 27(7), 1162?1182. doi: 10.1080/13510347.2020.17 66447.
Svensson, J. (2005). Eight questions about corruption. Journal of Economic Perspectives, 19(3), 19?42. doi: 10.1257/089533005774357860.
Sviderskyi, O., & Lubentsov, A. (2020). The impact of corruption on the development of legal and economic systems of state. Baltic Journal of Economic Studies, 6(1), 125?129. doi: 10.30525/2256-0742/2020-6-1-125-129.
Swamy, A., Knack, S., Lee, Y., & Azfar, O. (2001). Gender and corruption. Journal of Development Economics, 64(1), 25?55. doi: 10.1016/S0304-3878(0 0)00123-1.
Tanzi, V. (1998). Corruption around the world: causes, consequences, scope, and cures. Staff Papers, 45(4), 559?594.
Transparency International (2022a). Corruption Perceptions Index. Retrieved from https://www.transparency.org/en/cpi/2021 (8.3.2022).
Transparency International (2022b). Corruption Perceptions Index Report 2021. Retrieved form CPI2021_Report_EN-web.pdf (transparencycdn.org) (28.2. 2022).
Transparency International (2019). What is corruption? Retrieved form https://www.transparency.org/what-is-corruption/#define (20.02. 2022).
Transparency International (2020). The high costs journalists pay when reporting corruption. Retrieved form https://www.transparency.org/en/news/the-high-costs-journalists-pay-when-reporting-on-corruption (15.06. 2021).
Treisman, D. (2000). The causes of corruption: a cross-national study. Journal of Public Economics, 76(3), 399?457. doi: 10.1016/S0047-2727(99)00092-4.
Williams, A., & Le Billon, P. (Eds.). (2017). Corruption, natural resources and development: from resource curse to political ecology. Edward Elgar Publishing.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. MIT press.
World Bank (2021). Worldwide Governance Indicators. Retrieved form https://info.worldbank.org/governance/wgi/ (15.06 2021).
World Bank (2022). World Development Indicators. Retrieved form https://databank.worldbank.org/reports.aspx?source=world-development-indica tors (02.02.2022).
Zhan, J. V. (2017). Do natural resources breed corruption? Evidence from China. Environmental and Resource Economics, 66(2), 237?259. doi: 10.1007/s10 640-015-9947-4.
Zafarullah, H., & Siddiquee, N. A. (2001). Dissecting public sector corruption in Bangladesh: issues and problems of control. Public Organization Review, 1(4), 465?486. Doi: 10.1023/A:1013740000213.
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