Economic Affairs
  • Year: 2024
  • Volume: 69
  • Issue: 1

Determinants of rural financial inclusion in India: A short note using the AIDIS 2019

  • Author:
  • Bhagirath Prakash Baria1,*, Devanshi Himanshu Mehta2
  • Total Page Count: 8
  • Published Online: Feb 18, 2025
  • Page Number: 437 to 444

1Department of Banking and Insurance, Faculty of Commerce, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India

2Department of Business Economics, Faculty of Commerce, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India

*Corresponding author: bhagirath.baria-bi@msubaroda.ac.in (ORCID ID: 0000-0003-3465-3272)

Online published on 18 February, 2025.

Abstract

The present study utilizes the latest All India Debt & Investment Survey released in 2019 to examine the factors shaping rural financial inclusion across 28 selected states of India. A fresh set of socio-economic factors are incorporated into the analysis of financial inclusion determinants identified through a rigorous review of literature. Rural asset ownership including land, rural wealth inequality, education, rural population density, and rural unemployment are located as the key determinants. Elasticities of financial inclusion, measured from a deposit perspective, concerning these variables are worked out using a log-log regression model. The study found that improvements in the level of wealth ownership, education, and population density can promote rural financial inclusion. However, inequality in distribution of rural wealth, higher land ownership amongst indebted households, and higher rural unemployment worsens financial inclusivity in rural India. Furthermore, results show considerable robustness across gender-based inclusion measures; though, the size of the estimated elasticities differs across gender-specifications of financial inclusion.

⓿ Rural financial inclusion is examined across genders through a unique socio-economic database.

⓿ Wealth and its distribution have a significant impact on inclusivity in rural India.

⓿ Gender differences are reflected in the size of the estimated elasticities but not the direction.

Keywords

Development Economics, Econometrics, Financial Inclusion, Log-Log regression, Rural Economics, Wealth Distribution