Corruption and Socioeconomics Determinants:Empirical Evidence of Twenty Nine Countries

Halkos, George and Tzeremes, Nickolaos (2007): Corruption and Socioeconomics Determinants:Empirical Evidence of Twenty Nine Countries.

Abstract

This paper measures the effect of different socioeconomic determinants on countries’ transparency efficiency. Specifically, using Data Envelopment Analysis (DEA), the transparency efficiency of twenty nine countries is calculated. Then with the help of factor analysis we extract two factors from seven socioeconomic variables according to their communality of influence. Finally we set up a logistic regression using the efficiencies derived from DEA and the factors extracted from factor analysis. The results suggest that higher transparency efficiency appears in countries with cultural values of lower power distance, masculinity, uncertainty avoidance and lower individualism. Additionally, lower inflation rates and lower political and economical risks constitute to higher levels of countries’ transparency efficiency while positive GDP growth doesn’t ensure countries’ transparency efficiency.

• Item Type: MPRA Paper
• Institution: Department of Economics, University of Thessaly, Greece
• Language: English
• Keywords: Perceived transparency; business ethics; cultural dimensions; factor analysis; logistic regression; DEA
• Subjects: Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z10 - General; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C10 - General; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M2 - Business Economics > M20 - General

References

Charnes, A., Cooper, W. W. and Rhodes, E. (1978), Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, Vol. 2, pp. 429-444.

Charnes, A., Cooper, W. W., Lewin, A. Y. and Seiford, L. M., (1994), Data Envelopment Analysis: Theory, Methodology and Application, Kluwer Academic Publishers, Boston/Dordrecht/London.

Cooper, W.W., Seiford, L. M. and Tone, K. (2000), Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software, Kluwer Academic Publishers: Boston

Davids, M. (1999), Global standards, Local Problems, Journal of Business Strategy, 38-43.

Davis, H. J. and Ruhe, A., J, (2003), Perceptions of country corruption: Antecedents and outcomes, Journal of Business Ethics, 43, 275-288.

Dunteman, G.H. (1989), Principal Components Analysis, Sage.

Farrell, M. J. (1957), The Measurement of Productive Efficiency, Journal of Royal Statistical Society A, Vol. 120, pp. 253-281.

Getz, A., K. and Volkema, R., J. (2001), Culture, perceived corruption and economics: a model of predictors and outcomes, Business &Society, 40,1, 7-30.

Greene, W. (2000), Econometric Analysis, Prentice Hall International.

Gurmu, S., P. Rilstone and S. Stern (1999), ‘Semiparametric estimation of count regression models. ’, Journal of Econometrics, 88(1), 123-150.

Habib, M. and Zurawicki, L. (2002), Corruption and Foreign Direct Investment, International Journal of Business Studies, 33, 2, 291-307.

Hair, J. F, Anderson R. E, Tatham, R. L and Black, W. C. (1998). Multivariate data analysis, Prentice Hall, Fifth Edition

Halkos G. E. (2006), Econometrics : Theory and Practice, Giourdas Publications.

Hofstede, G. (1980a), Culture’s consequences: international differences in work related values, Sage: Beverly Hills, CA.

Hofstede, G. (1980b), Motivation, leadership and organization: do American theories apply abroad?, Organizational Dynamics, 9, 1, 42-63.

Hofstede, G. (1994), Cultures and Organizations: Software of the mind, Harper Collins Business.

Hosmer D., W and Lemeshow S. (1989). Applied logistic regression. John Wiley and Sons, New York

Husted, B. (1999), Wealth, culture and corruption, Journal of International Business Studies, 30, 2, 339-360.

Johnson, R.A. and Wichern, D.W. (1998), Applied Multivariate Statistical Analysis, Fourth Edition, Prentice Hall.

Kleinbaum D., G. and Kupper L.,L., Muller KE. and Nizam A. (1999). Applied regression analysis and other multivariate techniques, Duxbury, Third Edition.

Kleinbaum D.G. (1994). Logistic regression: A self learning text, Springer- Verlag, New York.

Leeflang, P., Wittink, D., Wedel, M. and Naert, P. (2000), ‘Building models for marketing decisions’, Kluwer Academic Publishers.

Mauro, P. (1995), Corruption and Growth, Quarterly Journal of Economics, 109, 681-712.

OECD (2005), OECD in figures 2005 edition, Statistics on the member states countries, OECD Observer.

Robertson, C., J. and Watson, A. (2004), Corruption and Change: the impact of foreign direct investment, Strategic Management Journal, 25, 4, 385-396.

Sharma S. 1996. Applied multivariate techniques, John Wiley and Sons, New York.

Stolp, C. (1990), Strengths and Weaknesses of Data Envelopment Analysis: An Urban and Regional Perspective, Computers, Environment and Urban Systems, Vol. 14, No. 2, pp. 103-116.

Tanzi, V. and Davoodi, H., (1997), Corruption, Public Investment and Growth, International Monetary Fund, Working paper, 97/139.

Thanassoulis, E. (2001), Introduction to Theory and Application of Data Envelopment Analysis, Kluwer Academic Publishers, Norwell.

Transparency International, (2005), Corruption Perception Index, Retrieved from: www.transparency.org.

World Investment Report (2005), Transnational Corporations and Internationalization of R&D, United Nations, New York and Geneva.