Predicting Firm Diversification in Agri-Food Value Chains

Andrew W. Stevens, Jim Teal, Christa D. Court, Gigi Digiacomo, Michelle Miller, Hikaru Hanawa Peterson

Research output: Contribution to journalArticlepeer-review

Abstract

Diversifying agri-food value chains and the firms within them is one proposed strategy for increasing resilience within the global agri-food sector; however, adapting policy to specific firms based on their level of diversification is challenging in practice due to frequent data limitations. We investigate whether more easily observable firm characteristics can predict diversification for firms in the agri-food value chain, thereby facilitating policy targeting. Using regression analysis of survey-based data from roughly 200 agri-food firms in the United States, we find that few firm characteristics reliably predict diversification, but engagement in direct-to-consumer sales is positively correlated with firm diversification.

Original languageEnglish (US)
Pages (from-to)43-64
Number of pages22
JournalJournal of Food Distribution Research
Volume55
Issue number3
StatePublished - Nov 2024

Bibliographical note

Publisher Copyright:
© 2024, Food Distribution Research Society. All rights reserved.

Keywords

  • agri-food value chains
  • direct-to-consumer sales
  • diversification
  • policy targeting

Fingerprint

Dive into the research topics of 'Predicting Firm Diversification in Agri-Food Value Chains'. Together they form a unique fingerprint.

Cite this