Access to Credit and Loan Repayment by Households of Non-Farmers in Nigeria: New Evidence from Binary Logit Regression

Authors

  • Obed I. Ojonta University of Nigeria
  • Jonathan E. Ogbuabor University of Nigeria
  • Anthony Orji University of Nigeria
  • Onyinye I. Anthony-Orji University of Nigeria
  • Ndubuisi Chukwu University of Nigeria
  • Emmanuel T. Ideba University of Nigeria

DOI:

https://doi.org/10.26493/1854-6935.22.405-422

Keywords:

credit access, household, non-farmers, binary logistic regression

Abstract

Access to credit is the desire of every developing economy as well as a coping strategy in starting up and expanding businesses. Hence, this study critically examines how access to credit responds to loan repayment by households of non-farmers in Nigeria. To achieve this purpose, some important variables like spending on transport, other business costs, salaries/wages and rent were included in the model. Other variables in the model include age and location for the households of non-farmers. The study shows that loan repayment by households of non-farmers and their place of residence are significant drivers of access to finance inĀ  Nigeria while other characteristics of non-farmers such as spending on transport, other business costs, salaries/wages, rent and age are muted throughout.

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Published

30.12.2024

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Section

Articles