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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65808
Volume:
10 |
7 |
Jul 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Research Scholar in Economics
Government College for Women (Autonomous) Research and Study Centre in Economics, Mandya -571401
Associate Professor in Economics
Government College for Women (Autonomous) Research and Study Centre in Economics, Mandya -571401
Research Scholar in Economics
Government College for Women (Autonomous) Research and Study Centre in Economics, Mandya -571401
This paper presents a comprehensive district-level analysis of Non-Performing Assets (NPAs) in the Karnataka banking sector, with a focused examination of Mandya, Belagavi, and Bangalore districts. Using secondary data from NABARD reports and RBI publications spanning 2012-2022, the study reveals significant inter-district variation in NPA performance. Mandya District Central Co-operative Bank demonstrates consistently low NPA levels (0.43% in 2021-22 for SHG loans), while Bangalore DCCB exhibits historically high stress (113.59% in 2012-13, improving to 8.17% in 2021-22). Belagavi shows moderate performance with notable challenges in urban livelihood programs (11.07% NPA under NULM/SJSRY). The analysis identifies agricultural dependence, rainfall variability, institutional capacity, and loan portfolio composition as key determinants of district-level NPA patterns. The findings underscore the importance of district-specific policy interventions and contribute to understanding regional disparities in banking sector health.
KEYWORDS
This district-level analysis reveals significant spatial variation in NPA performance within Karnataka's banking sector. The three studied districts represent distinct economic and institutional contexts that shape asset quality outcomes. Mandya demonstrates that favourable agricultural conditions combined with effective credit management can achieve exceptional asset quality. The district's sugarcane economy, supported by assured Cauvery irrigation and strong cooperative institutions, provides a stable foundation for credit repayment. Belagavi shows moderate performance with specific urban program challenges. The 11.07% NPA under urban livelihood programs highlights the distinct challenges of urban micro-credit delivery. The contrast with rural program performance (1.35%) suggests program-specific factors rather than institutional weakness. Bangalore presents the most dramatic story - from an NPA crisis exceeding 100% to moderate stress of 8.17%. This remarkable improvement indicates that aggressive recovery efforts, institutional reforms, and government program support can transform asset quality even in challenging urban contexts. The findings underscore the importance of district-level analysis in understanding NPA dynamics. Policy interventions must be calibrated to district-specific conditions, recognizing the interplay of agricultural patterns, economic structure, institutional capacity, and social factors in determining banking sector health. The success of government-sponsored programs in maintaining low NPA across districts offers a template for expanding protected lending while addressing challenges in unguaranteed portfolios. Future research should extend this analysis to include commercial bank and RRB district-level data, examine the impact of specific policy interventions, and explore the relationship between NPA performance and socio-economic development indicators at the district level.
1. NABARD. "Status of Microfinance in India 2012-13." District-level SHG NPA data for Karnataka DCCBs. 2. NABARD. "Status of Microfinance in India 2021-22." District-level SHG NPA data for Karnataka DCCBs. 3. NABARD. "Key Statistics of DCCBs 2021-22." Karnataka DCCB financial indicators. 4. Reserve Bank of India. "Salient Indicators of Financial Health of District Central Co-operative Banks." Appendix Table V.4, 2023-24 and 2024-25. 5. Darshan Gowda, H.R. (2009). "Analysis of Non-Performing Assets Management by Financial Institutions in Karnataka." MBA Thesis, University of Agricultural Sciences, Bengaluru. 6. Kumar S. (2016). "Priority Sector Financing by Public, Private and Co-Operative Banks in Karnataka – A Comparative Analysis." Ph.D. Thesis, University of Agricultural Science, Dharwad. 7. Times of India. (2025, April 5). "Over 70,000 microfinance accounts in Karnataka's Haveri default, become NPAs." Hubballi. 8. Shodhganga. "District-wise Gross NPA in Karnataka." List of Tables, INFLIBNET. 9. NABARD. "Status of Microfinance in India 2015." Southern Region DCCB NPA data. 10. SLBC Karnataka. "Performance of NPA Trends in Priority and Non-Priority Sectors of Commercial Banks in Karnataka." Shodhganga.
Publication Date
7/4/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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