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Nontraditional lenders and access to local agricultural credit markets by beginning and female farmers

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  • Denis Nadolnyak
  • Valentina Hartarska

Abstract

Purpose - The purpose of this study is to evaluate if access to local branch infrastructure of the farm credit system institutions (FCS), banks and credit unions (BCU), and alternative financial services (AFS) providers is related to the use of credit from non-traditional lenders (NTLs). The focus is on beginning and women operators who are typically credit constrained and thus more likely to suffer from closures of bank branches and consolidation of traditional agricultural lenders. Design/methodology/approach - Informed by Detragiacheet al.(2000), the authors specify farmers’ use of loans as a function of their access to credit (measured by the branch density of each lender type) along with operator’s and operation’s controls. The measures of loans by NTLs (number, use, share and lender type) require the use of Poisson, Probit, Tobit and Multinomial Logit techniques. This study utilizes individual producer data from the 2018 Agricultural Resource Management Survey and 2018 county-level branch density data for FCS, BCU and AFS providers. Findings - Access to credit from FCS is helpful to BFRs only, while access to AFS is associated with the use of loans from NTLs by women but not by BFRs. As expected, access to BCU credit matters for the use of loans from NTLs, with a complementary effect for BFRs but a substitution effect for women’s use of such loans. Originality/value - There are no studies on local agricultural credit markets in the US that evaluate the implications from changes in access to credit on credit-constrained borrowers and their use of NTLs’ credit.

Suggested Citation

  • Denis Nadolnyak & Valentina Hartarska, 2021. "Nontraditional lenders and access to local agricultural credit markets by beginning and female farmers," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 82(2), pages 268-284, December.
  • Handle: RePEc:eme:afrpps:afr-06-2021-0073
    DOI: 10.1108/AFR-06-2021-0073
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    Cited by:

    1. Claudia Schmidt & Steven C. Deller & Stephan J. Goetz, 2024. "Women farmers and community well‐being under modeling uncertainty," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(1), pages 275-299, March.

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