Capital and Crime–Corruption Nexus in the Shadow of the Law: A Theoretical Analysis of Public Policy
Rohan Kanti Khan,
Sushobhan Mahata and
Ranjanendra Narayan Nag
Public Finance Review, 2024, vol. 52, issue 6, 791-825
Abstract:
Corruption is a symptom of wider political dynamics intertwined with sectors prone to criminal activities. This arises due to the laxity of legal enforcement or a dysfunctional political system. This paper analytically demonstrates the nexus between organized crime and corruption in the presence of the public sector. The relevant questions at this juncture are: (i) How does capital investment in the industrial sectors affect the crime–corruption nexus? (ii) Why a more stringent law-and-order enforcement may produce counterproductive outcomes? and (iii) Whether the creation of alternative income opportunities in the legally approved sectors by the government will lower corruption and decriminalize society? What we will try to show is that when corruption becomes necessary to sustain the criminal sector, capital expansion and deterrence policy augment crime and corruption. This crucially depends on a multitude of general equilibrium factors including the labor relocation effect, capital relocation effect, and factor intensity of sectors.
Keywords: crime; corruption; capital; general equilibrium; public policy; JEL codes:; D50; K42; H39 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/10911421221127098 (text/html)
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:sae:pubfin:v:52:y:2024:i:6:p:791-825
DOI: 10.1177/10911421221127098
Access Statistics for this article
More articles in Public Finance Review
Bibliographic data for series maintained by SAGE Publications ().