Abstract
This paper deals with the problem of corruption, with a focus on both individual and country-specific institutional factors that may affect this problem. We analyse the determinants of the incidence of corruption as well as the tolerance of corruption. We used logit regressions that utilised data derived from Eurobarometer. The results strongly suggest gender, age, and education are important factors. We may say that anti-corruption policy ought to be targeted towards younger, less-educated, self-employed people with no children. On the other hand, a better-educated man in his early 30s seems to be a typical victim of corruption. The same is true for those having problems paying their expenses. Furthermore, contact with public officials appears to be one of the key issues, with Internet-based interactions with the government perhaps serving as the most effective solution to this problem. The rule of law, government effectiveness, and public accountability seem to be other factors that negatively correlate with the level of corruption within a country.
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References
Andersen, T. B. (2009). E-Government as an anti-corruption strategy. Information Economic and Policy, 21(3), 201–210.
Ata, A. Y., & Arvas, M. A. (2011). Determinants of economic corruption: A cross-country data analysis. International Journal of Business and Social Science, 2(13), 161–169.
Brollo, F., & Troiano, U. (2016). What happens when a woman wins an election? Evidence from close races in Brazil. Journal of Development Economics, 122, 28–45.
Buehn, A., & Schneider, F. G. (2009). Corruption and the shadow economy: a structural equation model approach. IZA discussion papers No. 4182. http://ftp.iza.org/dp4182.pdf. Accessed 12 January 2016.
Dreher, A., Kotsogiannis, C., & McCorriston, S. (2007). Corruption around the world: Evidence from a structural model. Journal of Comparative Economics, 35(3), 443–466.
European Commission (2013). Eurobarometer 79.1: E-Communications in the Household and Corruption, February-March 2013. Cologne, Germany: GESIS/Ann Arbor, MI: Inter-university Consortium for Political and Social Research. doi:10.3886/ICPSR35083.v1.
Gerring, J., Thacker, S. C., & Moreno, C. (2005). Centripetal democratic governance: A theory and global inquiry. American Political Science Review, 99(4), 567–581. doi:10.1017/S0003055405051889.
Goel, R. K., & Nelson, M. A. (1998). Corruption and government size: A disaggregated analysis. Public Choice, 97(1–2), 107–120.
Gupta, S., Davoodi, H., & Alonso-Terme, R. (2002). Does corruption affect income inequality and poverty? Economics of Governance, 3(1), 23–45.
Gyimah-Brempong, K. (2002). Corruption, economic growth, and income inequality in Africa. Economics of Governance, 3(3), 183–209.
Heywood, P. M., & Rose, J. (2014). “Close but no Cigar”: The measurement of corruption. Journal of Public Policy, 34(3), 507–529.
Hudson, J., & Jones, P. (2008). Corruption and military expenditure: At ‘no cost to the king’. Defence and Peace Economics, 19(6), 387–403. doi:10.1080/10242690801962270.
Hudson, J., Williams, C., Orviska, M., & Nadin, S. (2012). Evaluating the impact of the informal economy on businesses in South East Europe: Some lessons from the 2009 World Bank Enterprise Survey. South East European Journal of Economics and Business, 7(1), 99–110.
Hunady, J., & Orviska, M. (2015). Does the internet usage reduce the corruption in public sector? The short run and long run causality. Acta Aerarii Publici, 12(1), 22–43.
Mauro, P. (1995). Corruption and growth. The Quarterly Journal of Economics, 110(3), 681–712.
Melgar, N., Rossi, M., & Smith, T. W. (2010). The perception of corruption. International Journal of Public Opinion Research, 22(1), 120–131. doi:10.1093/ijpor/edpo58.
Mocan, N. (2008). What determines corruption? International evidence from microdata. Economic Inquiry, 46(4), 493–510. doi:10.1111/j.1465-7295.2007.00107.x.
Mutascu, M. I. (2010). Corruption, social welfare, culture and religion in European Union 27. Transition Studies Review, 16(4), 908–917. doi:10.1007/s11300-009-0118-6.
Neudorfer, N. S. (2015). Development, democracy and corruption: how poverty and lack of political rights encourage corruption. Journal of Public Policy, 35(3), 1–37.
Olken, B. A. (2009). Corruption perceptions vs. corruption reality. Journal of Public economics, 93(7), 950–964.
Pellegrini, L., & Gerlagh, R. (2008). Causes of corruption: a survey of cross-country analyses and extended results. Economics of Governance, 9(3), 245–263.
Rehman, H. U., & Naveed, A. (2007). Determinants of corruption and its relation to GDP: A panel study. Journal of Political Studies, 12(2), 27–59.
Rizzica, L., & Tonello, M. (2015). Exposure to media and corruption perceptions. Bank of Italy Temi di Discussione (Working Paper) No, 1043.
Rose, R., & Mishler, W. (2010). Experience versus perception of corruption: Russia as a test case. Global Crime, 11(2), 145–163.
Rose-Ackerman, S. (1975). The economics of corruption. Journal of public economics, 4(2), 187–203.
Serra, D. (2006). Empirical determinants of corruption: A sensitivity analysis. Public Choice, 126, 225–256. doi:10.1007/s11127-006-0286-4.
Shim, D. C., & Eom, T. H. (2008). E-government and anti-corruption: Empirical analysis of international data. International Journal of Public Administration, 31(3), 298–316.
Stapenhurst, F., & Langseth, P. (1997). The role of the public administration in fighting corruption. International Journal of Public Sector Management, 10(5), 311–330.
Swamy, A., Knack, S., Lee, Y., & Azfar, O. (2001). Gender and corruption. Journal of Development Economics, 64(1), 25–55.
Torgler, B., & Valev, N. T. (2006). Corruption and age. Journal of Bioeconomics, 8(2), 133–145.
Torgler, B., & Valev, N. T. (2010). Gender and public attitudes toward corruption and tax evasion. Contemporary Economics Policy, 28(4), 554–568. doi:10.1111/j.1465-7287.2009.00188.x.
Treisman, D. (2007). What have we learned about the causes of corruption from ten years of cross-national empirical research? Annual Review of Political Science, 10, 211–244.
Truex, R. (2011). Corruption, attitudes, and education: Survey evidence from Nepal. World Development, 39(7), 1133–1142. doi:10.1016/j.worlddev.2010.11.003.
Wang, H., & Rosenau, J. N. (2001). Transparency international and corruption as an issue of global governance. Global Governance, 7(2001), 25–49.
World Bank. (2015). World databank: Worldwide Governance Indicators (WGI). http://databank.worldbank.org/data/reports.aspx?source=Worldwide-Governance-Indicators. Accessed 14 December 2015.
Zhao, X., & Xu, H. D. (2015). E-government and corruption: A longitudinal analysis of countries. International Journal of Public Administration, 38(6), 1–12. doi:10.1080/01900692.2014.942736.
Acknowledgements
This work was supported by the Slovak Research and Development Agency under the Contract No. APVV-15-0322. The author would like to thank the anonymous reviewers for their valuable suggestions and comments to improve the quality of the paper.
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Appendices
Appendix 1
Appendix 2
Description of socio-economic variables included in the regressions.
All data are retrieved from Eurobarometer 79.1 (2013) | |
Name of the variable | Description of dependent variables and their coding |
Experienced corruption | In the last 12 months, have you experienced any case of corruption? Yes = 1; no = 0 |
Reported corruption (exclusively victims) | Did your reported experienced corruption to anyone or not? Those that reported corruption = 1 Those that did not report a case of experienced corruption or did not experience corruption in the last 12 months = 0 |
Corruption tolerance (recoded as follows: acceptable or tolerated = 1, unacceptable = 0) | Talking more generally, if you wanted to get something from the public administration or public services, to what extent do you think it is acceptable to do any of the following money (always acceptable = 3; sometimes acceptable = 2; never acceptable = 1): (1) to give money, (2) to give a gift, (3) to do a favour. Based on the answers to previous question the index of tolerance to corruption is calculated. (recoded to binary variable as follows: acceptable or tolerated = 1; unacceptable = 0) |
Know where to report | If you were to experience or witness a case of corruption, would you know where to report it to? Yes = 1; no = 0 |
Education | How old were you when you stopped full-time education? (exact age) |
Married | Married = 1; unmarried = 0 |
Gender | Male = 1; female = 0 |
Age | How old are you? (exact age) |
Rural/urban | Would you say you live in a…? Rural area or village = 1; Small or middle sized town = 2; Large town = 3 |
Children | Are there any children less 14 years old living in the household? (yes = 1; no = 0) |
Tv | Which of the following goods do you have?…Television (yes = 1; no = 0) |
Car | Which of the following goods do you have?…Car (yes = 1; no = 0) |
Problems with paying bills | During the last twelve months, would you say you had difficulties to pay your bills at the end of the month…? Most of the time (coded = 3), From time to time (=2); almost never/never (=1) |
Unemployed | Did you do any paid work in the past? What is your current occupation?… Unemployed or temporarily not working (yes = 1, no = 0) |
Self employed | Did you do any paid work in the past? What is your current occupation?… Self employed (yes = 1, no = 0) |
Top management | Did you do any paid work in the past? What is your current occupation?… General management, director or top management (yes = 1, no = 0) |
Employed professional | Did you do any paid work in the past? What is your current occupation?… Employed professional (employed doctor, lawyer, accountant, architect…) (yes = 1, no = 0) |
Contact with authorities | Over the last 12 months, have you had any contact with any of the following: police, customs, tax authorities, social security and welfare authorities, public prosecution service, politicians, political parties, officials awarding public tenders, officials issuing building or business permits, health-care system, the education sector and inspectors in your country (yes = 1, no = 0) |
Appendix 3
Country-specific variables included in the regressions.
Variable name | Description of dependent variables and the coding | Source |
---|---|---|
Corruption perception (the country average) | How widespread do you think the problem of corruption is in your country? We calculated the country specific means of corruption as perceived by the respondents in each country | Eurobarometer 79.1 (2013) |
Internet interaction with government | Individuals using the internet for interaction with public authorities within 12 months before the survey (% of individuals aged 16–74) | Eurostat database (code: tin00013) |
Tertiary education | Population with tertiary educational attainment level (% of total population) | Eurostat database (code: edat_lfse_07) |
Rule of law | Rule of Law captures perceptions of the extent to which agents have confidence in and abide by the rules of society, and in particular the quality of contract enforcement, property rights, the police, and the courts, as well as the likelihood of crime and violence. The estimate gives the country’s score on the aggregate indicator, in units of a standard normal distribution | World bank database: Worldwide Governance Indicators. http://databank.worldbank.org/data/reports.aspx?source=worldwide-governance-indicators |
Government effectiveness | Government Effectiveness captures perceptions of the quality of public services, the quality of the civil service and the degree of its independence from political pressures, the quality of policy formulation and implementation, and the credibility of the government’s commitment to such policies. The estimate gives the country’s score on the aggregate indicator, in units of a standard normal distribution | |
Public voice accountability | Public voice and Accountability captures perceptions of the extent to which a country’s citizens are able to participate in selecting their government, as well as freedom of expression, freedom of association, and a free media. The estimate gives the country’s score on the aggregate indicator, in units of a standard normal distribution | |
Political stability | Political Stability and Absence of Violence/Terrorism measures perceptions of the likelihood of political instability and/or politically-motivated violence, including terrorism. The estimate gives the country’s score on the aggregate indicator, in units of a standard normal distribution |
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Hunady, J. Individual and institutional determinants of corruption in the EU countries: the problem of its tolerance. Econ Polit 34, 139–157 (2017). https://doi.org/10.1007/s40888-017-0056-4
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DOI: https://doi.org/10.1007/s40888-017-0056-4