Modeling the efficiency of financial inclusion in Bihar: A data envelopment analysis

The study aims to evaluate the effectiveness of financial inclusion in Bihar from 2016-2017 to 2020-2021 and analyze the variations across different districts. The study uses secondary data from the State Level Bankers Committee Report and employs the CCR 1978 model and the Super Radial Efficiency model of DEA to measure overall technical efficiency. The analysis considers 10 indicators representing 4 dimensions of financial inclusion. The study identifies districts with improving financial inclusion levels and identifies efficient districts as benchmarks for others to emulate. Some districts show stagnation or decline, indicating the need for targeted interventions and policy measures. Policymakers can use the efficiency scores to identify districts requiring more support for enhancing financial inclusion. Financial institutions can learn from the practices of efficient districts to improve their services in less efficient areas. The focus on district-level analysis highlights the importance of decentralization in financial inclusion planning and implementation.

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Publication Details

Journal
International Journal of Accounting Business and Finance
Published
2025-05-29
DOI
https://doi.org/10.55429/ijabf.v3i2.147
Citations
1
Primary Topic
Microfinance and Financial Inclusion
Type
article
Field-Weighted Citation Impact
3.13
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article

Modeling the efficiency of financial inclusion in Bihar: A data envelopment analysis

Brajesh Kumar, Pooja Kumari, Archila Kushwaha
1 citations
International Journal of Accounting Business and Finance
Microfinance and Financial Inclusion
3.13
article

Modeling the efficiency of financial inclusion in Bihar: A data envelopment analysis

Brajesh Kumar, Pooja Kumari, Archila Kushwaha
article en
1 citations

Abstract

The study aims to evaluate the effectiveness of financial inclusion in Bihar from 2016-2017 to 2020-2021 and analyze the variations across different districts. The study uses secondary data from the State Level Bankers Committee Report and employs the CCR 1978 model and the Super Radial Efficiency model of DEA to measure overall technical efficiency. The analysis considers 10 indicators representing 4 dimensions of financial inclusion. The study identifies districts with improving financial inclusion levels and identifies efficient districts as benchmarks for others to emulate. Some districts show stagnation or decline, indicating the need for targeted interventions and policy measures. Policymakers can use the efficiency scores to identify districts requiring more support for enhancing financial inclusion. Financial institutions can learn from the practices of efficient districts to improve their services in less efficient areas. The focus on district-level analysis highlights the importance of decentralization in financial inclusion planning and implementation.

International Journal of Accounting Business and FinanceVol. 3(2)
Central University of South Bihar (IN), Kushabhau Thakre Patrakarita Avam Jansanchar University (IN)
Openalex Percentile: Top 8%
Microfinance and Financial Inclusion
3.13
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Modeling the efficiency of financial inclusion in Bihar: A data envelopment analysis — Brajesh Kumar, Pooja Kumari, et al. · International Journal of Accounting Business and Finance (2025) | TGRS Research Map | TGRS