The Obstacle Named 'Corruption': An Empirical Analysis of Indian Firms

Nabamita Dutta ()

Review of Economics & Finance, 2019, vol. 17, 51-64

Abstract: Using an individual level database of 9,000 plus Indian firms, we undertake a comprehensive empirical analysis examining factors that affect perception of corruption among firm owners. Our results find that being located in the official capital city as well as being dependent on credit are associated with higher perceptions of corruption. Interaction effect shows that being dependent on bank credit is especially harder for small and medium sized firms who then perceive greater corruption experiences. We also find female owned firms perceive corruption to be of greater obstacle. Finally, all types of firms ¨C government owned, private owned or foreign owned ¨C face higher perception of corruption. Our study has important implications for policy makers in India who wish to encourage small and medium business scenario.

Keywords: India; Firm level data; Corruption perception; Firm size; Bank credit (search for similar items in EconPapers)
JEL-codes: D73 L20 L26 O53 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.bapress.ca/ref/ref-article/1923-7529-2019-03-51-14.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bap:journl:190304

Ordering information: This journal article can be ordered from
17 Alton Towers Circle, Unit 101 Toronto, ON, M1V3L8, Canada

Access Statistics for this article

Review of Economics & Finance is currently edited by H. Carlson

More articles in Review of Economics & Finance from Better Advances Press, Canada 17 Alton Towers Circle, Unit 101 Toronto, ON, M1V3L8, Canada.
Bibliographic data for series maintained by Carlson ( this e-mail address is bad, please contact ).