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A Bibliometric Analysis of Borrowers’ Behavior

Author

Listed:
  • Douglas Mwirigi

    (Doctoral School of Economics and Regional Sciences, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, 2100 Gödöllő, Hungary)

  • Mária Fekete-Farkas

    (Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, 2100 Gödöllő, Hungary)

  • Zoltán Lakner

    (Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Páter Károly u. 1, 2100 Gödöllő, Hungary)

Abstract

Understanding borrowers’ behavior is essential in making lending decisions, strengthening financial inclusion, and alleviating poverty. This research adopts a bibliometric approach to provide an overview of the borrower’s behavior relative to the selected literature. Bibliometric analysis quantifies the impact and quality of scientific production. This study reviewed 989 articles obtained from SCOPUS and published from 1987 to 2023. Data were cleaned, formatted, and analyzed using VOS viewer (1.6.19) and the R-Bibliometrix package. The research established an increased interest in borrowers’ behavior among scholars. Nonetheless, it is overshadowed by studies in lending behavior, microfinance, banking, peer-to-peer lending, and fintech. The scholarly focus is mainly on the supply side of the credit industry with little regard to demand-side dynamics, such as borrowers’ decision-making processes, which can affect the performance of credit facilities. This study recommends that further studies on credit facility demand-side dynamics should be carried out to understand the drivers of borrowers’ decisions.

Suggested Citation

  • Douglas Mwirigi & Mária Fekete-Farkas & Zoltán Lakner, 2024. "A Bibliometric Analysis of Borrowers’ Behavior," JRFM, MDPI, vol. 17(3), pages 1-19, March.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:3:p:111-:d:1354239
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    References listed on IDEAS

    as
    1. Tian, Geran & Wu, Weixing, 2023. "Big data pricing in marketplace lending and price discrimination against repeat borrowers: Evidence from China," China Economic Review, Elsevier, vol. 78(C).
    2. Dezső, Linda & Loewenstein, George, 2012. "Lenders’ blind trust and borrowers’ blind spots: A descriptive investigation of personal loans," Journal of Economic Psychology, Elsevier, vol. 33(5), pages 996-1011.
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