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How can banks and finance companies incorporate value chain factors in their risk management strategy? The case of agro‐food firms

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  • Pratibha Wasan
  • Ashwani Kumar
  • Sunil Luthra

Abstract

A value chain framework for guiding the financial firms in their credit decisions is urgent, as the current COVID‐19 pandemic has highlighted, but missing in the extant literature, particularly for those that lend to industries sensitive to value and supply chain bottlenecks. This study creates knowledge in value chain finance, a big untapped and un‐researched market. It constructs, confirms, and validates a value chain framework for assessing risks in lending to Agro and Food Processing firms in which value chain risks are major business concerns globally. To pursue the objectives of the study, we use a novel methodology that integrates the Modified Delphi technique, exploratory factor analysis, confirmatory factor analysis, and discriminant analysis. Based on testing and analysis of primary data, including loan data, a framework comprising six factors is proposed for use in conjunction with existing risk assessment models of finance companies to improve the quality of their credit decisions, contributing to their performance sustainability.

Suggested Citation

  • Pratibha Wasan & Ashwani Kumar & Sunil Luthra, 2023. "How can banks and finance companies incorporate value chain factors in their risk management strategy? The case of agro‐food firms," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 858-877, January.
  • Handle: RePEc:bla:bstrat:v:32:y:2023:i:1:p:858-877
    DOI: 10.1002/bse.3179
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    1. Soleman Imbiri & Raufdeen Rameezdeen & Nicholas Chileshe & Larissa Statsenko, 2021. "A Novel Taxonomy for Risks in Agribusiness Supply Chains: A Systematic Literature Review," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    2. Steven Carnovale & Sengun Yeniyurt, 2015. "The Role of Ego Network Structure in Facilitating Ego Network Innovations," Journal of Supply Chain Management, Institute for Supply Management, vol. 51(2), pages 22-46, April.
    3. Tripoli, Mischa & Schmidhuber, Josef, 2018. "Emerging Opportunities for the Application of Blockchain in the Agri-Food Industry," Post-Nairobi WTO Agenda 320187, International Centre for Trade and Sustainable Development (ICTSD).
    4. Ghosh, Madanmohan & Luo, Deming & Siddiqui, Muhammad Shahid & Zhu, Yunfa, 2012. "Border tax adjustments in the climate policy context: CO2 versus broad-based GHG emission targeting," Energy Economics, Elsevier, vol. 34(S2), pages 154-167.
    5. Heitor Almeida & Kristine Watson Hankins & Ryan Williams, 2017. "Risk Management with Supply Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 30(12), pages 4179-4215.
    6. Nunzia Carbonara & Roberta Pellegrino, 2018. "Real options approach to evaluate postponement as supply chain disruptions mitigation strategy," International Journal of Production Research, Taylor & Francis Journals, vol. 56(15), pages 5249-5271, August.
    7. Francisco Ascui & Theodor F. Cojoianu, 2019. "Implementing natural capital credit risk assessment in agricultural lending," Business Strategy and the Environment, Wiley Blackwell, vol. 28(6), pages 1234-1249, September.
    8. Matthias Breier & Andreas Kallmuenzer & Thomas Clauss & Johanna Gast & Sascha Kraus & Victor Tiberius, 2021. "The role of business model innovation in the hospitality industry during the COVID-19 crisis," Post-Print hal-03514806, HAL.
    9. Muhammad Atif & Searat Ali, 2021. "Environmental, social and governance disclosure and default risk," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3937-3959, December.
    10. Helen Toxopeus & Elisa Achterberg & Friedemann Polzin, 2021. "How can firms access bank finance for circular business model innovation?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(6), pages 2773-2795, September.
    11. Marc F. Bellemare & Casey J. Wichman, 2020. "Elasticities and the Inverse Hyperbolic Sine Transformation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(1), pages 50-61, February.
    12. G. Behzadi & M.J. O’Sullivan & T.L. Olsen & A. Zhang, 2018. "Allocation flexibility for agribusiness supply chains under market demand disruption," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3524-3546, May.
    13. Edward I. Altman & Gabriele Sabato, 2013. "MODELING CREDIT RISK FOR SMEs: EVIDENCE FROM THE US MARKET," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 9, pages 251-279, World Scientific Publishing Co. Pte. Ltd..
    14. Chen, Chung-Jen & Lin, Bou-Wen & Lin, Ya-Hui & Hsiao, Yung-Chang, 2016. "Ownership structure, independent board members and innovation performance: A contingency perspective," Journal of Business Research, Elsevier, vol. 69(9), pages 3371-3379.
    15. Olaf Weber & Roland W. Scholz & Georg Michalik, 2010. "Incorporating sustainability criteria into credit risk management," Business Strategy and the Environment, Wiley Blackwell, vol. 19(1), pages 39-50, January.
    16. Simon Norris & Julia Hagenbeck & Stefan Schaltegger, 2021. "Linking sustainable business models and supply chains — Toward an integrated value creation framework," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3960-3974, December.
    17. de Janvry, Alain & Sadoulet, Elisabeth, 2020. "Using agriculture for development: Supply- and demand-side approaches," World Development, Elsevier, vol. 133(C).
    18. Vera Belaya & Jon Henrich Hanf, 2016. "The dark and the bright side of power: implications for the management of business-to-business relationships," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-17, December.
    19. Jianjun Yu & Dan Zhu, 2018. "Study on the Selection Strategy of Supply Chain Financing Modes Based on the Retailer’s Trade Grade," Sustainability, MDPI, vol. 10(9), pages 1-12, August.
    20. Heckmann, Iris & Comes, Tina & Nickel, Stefan, 2015. "A critical review on supply chain risk – Definition, measure and modeling," Omega, Elsevier, vol. 52(C), pages 119-132.
    21. Wuttke, David A. & Blome, Constantin & Henke, Michael, 2013. "Focusing the financial flow of supply chains: An empirical investigation of financial supply chain management," International Journal of Production Economics, Elsevier, vol. 145(2), pages 773-789.
    22. Behzadi, Golnar & O’Sullivan, Michael Justin & Olsen, Tava Lennon & Zhang, Abraham, 2018. "Agribusiness supply chain risk management: A review of quantitative decision models," Omega, Elsevier, vol. 79(C), pages 21-42.
    23. Céline Bonnet & Zohra Bouamra-Mechemache, 2016. "Organic Label, Bargaining Power, and Profit-sharing in the French Fluid Milk Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(1), pages 113-133.
    24. WUTTKE, David A & BLOME, Constantin & HENKE, Michael, 2013. "Focusing the financial flow of supply chains: an empirical investigation of financial supply chain management," LIDAM Reprints CORE 2601, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    25. Zericho R Marak & Deepa Pillai, 2018. "Factors, Outcome, and the Solutions of Supply Chain Finance: Review and the Future Directions," JRFM, MDPI, vol. 12(1), pages 1-23, December.
    26. Ciampi, Francesco, 2015. "Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms," Journal of Business Research, Elsevier, vol. 68(5), pages 1012-1025.
    27. Lee, Sang M. & Trimi, Silvana, 2021. "Convergence innovation in the digital age and in the COVID-19 pandemic crisis," Journal of Business Research, Elsevier, vol. 123(C), pages 14-22.
    28. Heitor Almeida & Kristine Watson Hankins & Ryan Williams, 2017. "Risk Management with Supply Contracts," NBER Working Papers 23331, National Bureau of Economic Research, Inc.
    29. Guangyou Zhou & Lian Liu & Sumei Luo, 2022. "Sustainable development, ESG performance and company market value: Mediating effect of financial performance," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3371-3387, November.
    30. Behzadi, Golnar & O'Sullivan, Michael Justin & Olsen, Tava Lennon & Scrimgeour, Frank & Zhang, Abraham, 2017. "Robust and resilient strategies for managing supply disruptions in an agribusiness supply chain," International Journal of Production Economics, Elsevier, vol. 191(C), pages 207-220.
    31. Joffre, Olivier M. & Poortvliet, P. Marijn & Klerkx, Laurens, 2019. "To cluster or not to cluster farmers? Influences on network interactions, risk perceptions, and adoption of aquaculture practices," Agricultural Systems, Elsevier, vol. 173(C), pages 151-160.
    32. Ting Kong & Taiwen Feng & Baofeng Huo, 2021. "Green supply chain integration and financial performance: A social contagion and information sharing perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2255-2270, July.
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