LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Credit Constraints and Beginning Farmers’ Production in the U.S.: Evidence from Propensity Score Matching with Principal Component Clustering

Photo from wikipedia

Beginning Farmers and Ranchers (BFRs) in the U.S. represent a diverse and important subset of family farms. Understanding their financial needs is of paramount importance for supporting the future of… Click to show full abstract

Beginning Farmers and Ranchers (BFRs) in the U.S. represent a diverse and important subset of family farms. Understanding their financial needs is of paramount importance for supporting the future of American farmers. The focus of this work is on evaluating to what extent credit constraints affect the BFRs’ production. We use propensity score matching to show that credit constraints are associated with significantly lower production levels. To address the highly heterogeneous nature of BFRs, we complement the matching procedure with Principal Components Analysis and clustering to extract more information from the available Agricultural Resource Management Survey data. The results show losses in the total and per acre production values attributed to being credit-constrained, ranging between 14–77% and 24–72%, depending on the matching method, which has important policy implications.

Keywords: credit; production; score matching; beginning farmers; propensity score; credit constraints

Journal Title: Sustainability
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.