household income and relationships with different power entities as determinants of corruption

household income and relationships with different power entities as determinants of corruption

;Asif Reza Anik;Siegfried Bauer
results in mathematics 2014 Vol. 8 pp. 1-105
17
anik2014contemporaryhousehold

Abstract

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.

Citation

ID: 178778
Ref Key: anik2014contemporaryhousehold
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
178778
Unique Identifier:
10.5709/ce.1897-9254.145
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet