A STUDY OF FINANCIAL INCLUSION AND ITS IMPACT ON ECONOMIC DEVELOPMENT OF RURAL AREAS IN UDAIPUR DIVISION
DOI:
https://doi.org/10.29121/shodhkosh.v5.i6.2024.6428Keywords:
Financial Inclusion, Rural Development, Udaipur Division, Digital Financial, Literacy, Microenterprise, IndiaAbstract [English]
This study examines the relationship between financial inclusion and economic development in the rural areas of Udaipur Division (Rajasthan, India). Using a mixed-methods approach that combines household survey data, official secondary statistics, and qualitative interviews with key informants (bank officials, local entrepreneurs, and community leaders), the paper investigates how access to and usage of formal financial services influence indicators of rural economic development: income diversification, agricultural productivity, savings behaviour, microenterprise growth, and resilience to income shocks. The analysis constructs a composite Financial Inclusion Index (covering access, usage and quality) and employs regression models to estimate the effect of financial inclusion on household-level and village-level development outcomes, controlling for socio-demographic and infrastructure variables. Qualitative evidence is used to explicate causal pathways—credit access for productive investment, digital payment adoption for transaction efficiency, and insurance for income stabilization. Results indicate that greater depth of financial inclusion is associated with higher household incomes, increased non-farm enterprise activity, and improved capacity to cope with shocks; however, heterogeneity exists across caste, gender and remoteness, and digital access alone is insufficient without parallel efforts in financial literacy and trust-building. The paper concludes by offering policy recommendations targeted at last-mile banking infrastructure, context-sensitive digital literacy programs, and locally tailored credit products that can amplify the developmental gains of inclusion in Udaipur Division and similar rural settings.
References
P. Gin, A. Shrivastava, K. Mustal Bhihara, R. Dilip, and R. Manohar Paddar, "Underwater Motion Tracking and Monitoring Using Wireless Sensor Network and Machine Learning," Materials Today: Proceedings, vol. 8, no. 6, pp. 3121–3166, 2022
S. Gupta, S. V. M. Seeswami, K. Chauhan, B. Shin, and R. Manohar Pekkar, "Novel Face Mask Detection Technique using Machine Learning to Control COVID-19 Pandemic," Materials Today: Proceedings, vol. 86, pp. 3714–3718, 2023.
K. Kumar, A. Kaur, K. R. Ramkumar, V. Moyal, and Y. Kumar, "A Design of Power-Efficient AES Algorithm on Artix-7 FPGA for Green Communication," Proc. International Conference on Technological Advancements and Innovations (ICTAI), 2021, pp. 561–564.
V. N. Patti, A. Shrivastava, D. Verma, R. Chaturvedi, and S. V. Akram, "Smart Agricultural System Based on Machine Learning and IoT Algorithm," Proc. International Conference on Technological Advancements in Computational Sciences (ICTACS), 2023.
P. William, A. Shrivastava, U. S. Asmal, M. Gupta, and A. K. Rosa, "Framework for Implementation of Android Automation Tool in Agro Business Sector," 4th International Conference on Intelligent Engineering and Management (ICIEM), 2023. DOI: https://doi.org/10.1109/ICIEM59379.2023.10167328
H. Douman, M. Soni, L. Kumar, N. Deb, and A. Shrivastava, "Supervised Machine Learning Method for Ontology-based Financial Decisions in the Stock Market," ACM Transactions on Asian and Low Resource Language Information Processing, vol. 22, no. 5, p. 139, 2023. DOI: https://doi.org/10.1145/3554733
J. P. A. Jones, A. Shrivastava, M. Soni, S. Shah, and I. M. Atari, "An Analysis of the Effects of Nasofibital-Based Serpentine Tube Cooling Enhancement in Solar Photovoltaic Cells for Carbon Reduction," Journal of Nanomaterials, vol. 2023, pp. 346–356, 2023. DOI: https://doi.org/10.1155/2023/3456536
A. V. A. B. Ahmad, D. K. Kurmu, A. Khullia, S. Purafis, and A. Shrivastova, "Framework for Cloud Based Document Management System with Institutional Schema of Database," International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 3, pp. 692–678, 2024.
A. Reddy Yevova, E. Safah Alonso, S. Brahim, M. Robinson, and A. Chaturvedi, "A Secure Machine Learning-Based Optimal Routing in Ad Hoc Networks for Classifying and Predicting Vulnerabilities," Cybernetics and Systems, 2023. DOI: https://doi.org/10.1080/01969722.2023.2166241
P. Gin, A. Shrivastava, K. Mustal Bhihara, R. Dilip, and R. Manohar Paddar, "Underwater Motion Tracking and Monitoring Using Wireless Sensor Network and Machine Learning," Materials Today: Proceedings, vol. 8, no. 6, pp. 3121–3166, 2022
S. Gupta, S. V. M. Seeswami, K. Chauhan, B. Shin, and R. Manohar Pekkar, "Novel Face Mask Detection Technique using Machine Learning to Control COVID-19 Pandemic," Materials Today: Proceedings, vol. 86, pp. 3714–3718, 2023. DOI: https://doi.org/10.1016/j.matpr.2021.07.368
K. Kumar, A. Kaur, K. R. Ramkumar, V. Moyal, and Y. Kumar, "A Design of Power-Efficient AES Algorithm on Artix-7 FPGA for Green Communication," Proc. International Conference on Technological Advancements and Innovations (ICTAI), 2021, pp. 561–564. DOI: https://doi.org/10.1109/ICTAI53825.2021.9673435
S. Chokoborty, Y. D. Bordo, A. S. Nenoty, S. K. Jain, and M. L. Rinowo, "Smart Remote Solar Panel Cleaning Robot with Wireless Communication," 9th International Conference on Cyber and IT Service Management (CITSM), 2021 DOI: https://doi.org/10.1109/CITSM52892.2021.9588917
P. Bogane, S. G. Joseph, A. Singh, B. Proble, and A. Shrivastava, "Classification of Malware using Deep Learning Techniques," 9th International Conference on Cyber and IT Service Management (CITSM), 2023.
V. N. Patti, A. Shrivastava, D. Verma, R. Chaturvedi, and S. V. Akram, "Smart Agricultural System Based on Machine Learning and IoT Algorithm," Proc. International Conference on Technological Advancements in Computational Sciences (ICTACS), 2023. DOI: https://doi.org/10.1109/ICTACS56270.2022.9988530
A. Shrivastava, M. Obakawaran, and M. A. Stok, "A Comprehensive Analysis of Machine Learning Techniques in Biomedical Image Processing Using Convolutional Neural Network," 10th International Conference on Contemporary Computing and Informatics (IC3I), 2022, pp. 1301–1309. DOI: https://doi.org/10.1109/IC3I56241.2022.10072911
A. S. Kumar, S. J. M. Kumar, S. C. Gupta, K. Kumar, and R. Jain, "IoT Communication for Grid-Tied Matrix Converter with Power Factor Control Using the Adaptive Fuzzy Sliding (AFS) Method," Scientific Programming, vol. 2022, 364939, 2022 DOI: https://doi.org/10.1155/2022/5649363
Kamboj V, Sharma D (2023) Mapping the landscape of digital financial inclusion and proposing integrative framework: trends, influential works, and future directions. Humanities Soc Sci Commun 12:1082. DOI: https://doi.org/10.1057/s41599-025-05500-9
Becha H, Kalai M, Houidi S, Helali K (2023) Digital financial inclusion, environmental sustainability and regional economic growth in China: insights from a panel threshold model. J Econ Struct 14(1)(Special issue / case study) UPI and financial inclusion in rural India: a case study (2023) — authors vary; study examines UPI adoption and rural inclusion dynamics. (ScienceDirect / Elsevier collection). DOI: https://doi.org/10.1186/s40008-025-00347-4
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