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2014 | 8 | nr 3 | 275--288
Tytuł artykułu

Household Income and Relationships with Different Power Entities as Determinants of Corruption

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This article adds to the corruption literature by identifying factors influencing Bangladeshi farm households' probability of experiencing corruption in different service sectors. The econometric results show that households' probability of being exposed to corruption can largely be explained through their income and their relationship with different power entities. The direction of the relationship between income and corruption vary across services. Relatively rich households have a higher probability of experiencing corruption in sectors such as education, health and electricity. These households are less likely to experience corruption in local government and agricultural extension services. The results here are contrary to the common trend in corruption research that addresses households' aggregate corruption experiences. Households with relationships with different power entities have a lower probability of experiencing corruption than their counterparts without these types of relationships.(original abstract)
Rocznik
Tom
8
Numer
Strony
275--288
Opis fizyczny
Twórcy
  • Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Bangladesh
  • Justus-Liebig-University Giessen, Germany
Bibliografia
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  • Mocan, N. (2008). What determines corruption? International evidence from micro data. Economic Inquiry, 46 (4), 493-510.
  • Mocan, N. H. & Rees, D. (2005) Economic Conditions, Deterrence, and Juvenile Crime: Evidence from Micro Data. American Law and Economics Review 7 (2), 319-349.
  • Shaw, P. (2009). The determinants of educational corruption: The case of Ukraine. University of Hull. Retrieved from http://www.hull.ac.uk/php/ecskrb/GDP2009/Shaw2_Ukrain_GDP2009.pdf.
  • Smith, R. J., & Blundell, R. W. (1986). An exogeneity test for a simultaneous equation Tobit model with an application to labor supply. Econometrica, 54 (4), 679-686.
  • Svensson, J. (2003). Who Must Pay Bribes and How Much? Evidence from a Cross Section of Firms. The Quarterly Journal of Economics, 118 (1), 207-230.
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  • Torgler, B., and Valev, N. T. (2006). Corruption and age. Journal of Bioeconomics, 8 (2), 133-145.
  • Transparency International Bangladesh (2008). National Household Survey 2007 on Corruption in Bangladesh. TIB, Dhaka. Retrieved from http://www.ti-bangladesh.org/research/HHSurvey07full180608.pdf.
  • Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data (2nd Edition). Cambridge, MA: The MIT Press.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171288493

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