Journalartikel

Why farm households have differences in corruption experiences? Evidences from Bangladesh


AutorenlisteAnik, Asif Reza; Bauer, Siegfried; Alam, Mohammad Jahangir

Jahr der Veröffentlichung2013

Seiten478-488

ZeitschriftAgricultural Economics

Bandnummer59

Heftnummer10

ISSN0139-570X

eISSN1805-9295

Open Access StatusGold

DOI Linkhttps://doi.org/10.17221/41/2013-AGRICECON

VerlagCzech Academy of Agricultural Sciences


Abstract
The article explores the household-level determinants of corruption and its different forms in Bangladesh. It also identifies the micro-level factors for which households pay different amount of bribe. To attain these objectives, experiences of 210 Bangladeshi farm households belonging to six different districts of the country are analyzed. The econometric analyses show that the households with higher expenditure are more likely to face corruption and bribery, and also pay a higher amount of bribe. However, these households are less likely to face the negligence of duty and nepotism or favouritism. Such differences in the impact of the expenditure variable can be argued to be the outcome of a situation where corruption is pervasive and the officials have the bribe maximizing objective. Relationships with different power entities reduce the households' probability to face corruption and its different forms, and can avoid a higher bribe payment. The results argue for several policy actions for combating corruption in the country.



Zitierstile

Harvard-ZitierstilAnik, A., Bauer, S. and Alam, M. (2013) Why farm households have differences in corruption experiences? Evidences from Bangladesh, Agricultural Economics, 59(10), pp. 478-488. https://doi.org/10.17221/41/2013-AGRICECON

APA-ZitierstilAnik, A., Bauer, S., & Alam, M. (2013). Why farm households have differences in corruption experiences? Evidences from Bangladesh. Agricultural Economics. 59(10), 478-488. https://doi.org/10.17221/41/2013-AGRICECON



Schlagwörter


CORRUPTIONCragg's double hurdle modelprobit modelTobit model

Zuletzt aktualisiert 2025-10-06 um 10:15