Diagnosing internal control failures in India’s petroleum subsidy programs: A COSO-COBIT Governance Analysis

This study investigates systemic internal control failures within India’s petroleum subsidy programs, particularly Liquefied Petroleum Gas (LPG) and Public Distribution System (PDS) kerosene schemes. Using the COSO Internal Control Framework (2013) and COBIT (2019) governance principles, alongside forensic data analytics and selected case studies, this paper identifies recurring issues in beneficiary verification, delivery validation, invoice oversight, and IT governance. Despite reforms like Aadhaar-based deduplication and Direct Benefit Transfer for LPG (DBTL), vulnerabilities in real-time monitoring, audit trail consistency, and inter-agency data integration persist. Notably, over 35 million fraudulent LPG accounts were removed, highlighting both progress and past systemic flaws. This research proposes a robust governance model leveraging artificial intelligence, geo-mapping, and control matrices to enhance transparency and accountability. The model is designed to be replicable for other developing nations reforming public welfare distribution systems.

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Publication Details

Journal
World Journal of Advanced Research and Reviews
Published
2025-05-18
DOI
https://doi.org/10.30574/wjarr.2025.26.2.1863
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
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article

Diagnosing internal control failures in India’s petroleum subsidy programs: A COSO-COBIT Governance Analysis

Champak Dutta
World Journal of Advanced Research and Reviews
Market Dynamics and Volatility
article

Diagnosing internal control failures in India’s petroleum subsidy programs: A COSO-COBIT Governance Analysis

Champak Dutta
article en

Abstract

This study investigates systemic internal control failures within India’s petroleum subsidy programs, particularly Liquefied Petroleum Gas (LPG) and Public Distribution System (PDS) kerosene schemes. Using the COSO Internal Control Framework (2013) and COBIT (2019) governance principles, alongside forensic data analytics and selected case studies, this paper identifies recurring issues in beneficiary verification, delivery validation, invoice oversight, and IT governance. Despite reforms like Aadhaar-based deduplication and Direct Benefit Transfer for LPG (DBTL), vulnerabilities in real-time monitoring, audit trail consistency, and inter-agency data integration persist. Notably, over 35 million fraudulent LPG accounts were removed, highlighting both progress and past systemic flaws. This research proposes a robust governance model leveraging artificial intelligence, geo-mapping, and control matrices to enhance transparency and accountability. The model is designed to be replicable for other developing nations reforming public welfare distribution systems.

World Journal of Advanced Research and ReviewsVol. 26(2)
Openalex Percentile: Top 85%
Market Dynamics and Volatility
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