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Does collaboration pay in agricultural supply chain? An empirical approach

Author

Listed:
  • Stella Despoudi
  • Grammatoula Papaioannou
  • George Saridakis
  • Samir Dani

Abstract

This paper examines the effect of different types of collaboration on the level of Postharvest Food Losses (PHFL) and the proportion of low-quality peaches produced using a unique data-set of Greek peach producers. Quantile regression techniques are adopted to estimate the effects at different points of the conditional distribution of our variables of interest. The findings of this study suggest that high levels of collaboration between producers and cooperatives are associated with both low levels of PHFL and a low proportion of low-quality peaches. We also find that specific types of collaboration, such as ‘goal congruence’, can play a significant role in reducing PHFL and improving the quality of peach production at the extremes of the distribution. Important policy implications regarding collaborative practices and systems that can be implemented to reduce PHFL and boost a producer’s performance together with sustainability credentials are drawn from this study.

Suggested Citation

  • Stella Despoudi & Grammatoula Papaioannou & George Saridakis & Samir Dani, 2018. "Does collaboration pay in agricultural supply chain? An empirical approach," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4396-4417, July.
    • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:13:p:4396-4417
    DOI: 10.1080/00207543.2018.1440654
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    Citations

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    Cited by:

    1. Luo, Na & Olsen, Tava & Liu, Yanping & Zhang, Abraham, 2022. "Reducing food loss and waste in supply chain operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    2. Alwin Dsouza & Ashok K. Mishra & Scott Webster, 2023. "Vertical coordination and post‐harvest losses: Implications on food loss," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 460-486, March.
    3. Theocharis Moysiadis & Konstantina Spanaki & Ayalew Kassahun & Sabine Kläser & Nicolas Becker & George Alexiou & Nikolaos Zotos & Iliada Karali, 2022. "AgriFood Supply Chain Traceability: Data Sharing in a farm-to-fork case," Post-Print hal-03766179, HAL.
    4. Thanos Papadopoulos & Uthayasankar Sivarajah & Konstantina Spanaki & Stella Despoudi & Angappa Gunasekaran, 2022. "Editorial: Artificial Intelligence (AI) and Data Sharing in Manufacturing, Production and Operations Management Research," Post-Print hal-03766170, HAL.
    5. Nguyen Thi Nha Trang & Thanh-Thuy Nguyen & Hong V. Pham & Thi Thu Anh Cao & Thu Huong Trinh Thi & Javad Shahreki, 2022. "Impacts of Collaborative Partnership on the Performance of Cold Supply Chains of Agriculture and Foods: Literature Review," Sustainability, MDPI, vol. 14(11), pages 1-28, May.
    6. Lei Wang & Weijia You & Yingying Zhou & Fei Meng, 2022. "How Does Green Supply Chain Management Promote the Success of Crowdfunding Projects? Empirical Research Based on the QCA Method," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    7. Na Luo & Tava Lennon Olsen & Yanping Liu, 2021. "A Conceptual Framework to Analyze Food Loss and Waste within Food Supply Chains: An Operations Management Perspective," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    8. George Mutugu Mwangi & Stella Despoudi & Oscar Rodriguez Espindola & Konstantina Spanaki & Thanos Papadopoulos, 2022. "A planetary boundaries perspective on the sustainability: resilience relationship in the Kenyan tea supply chain," Annals of Operations Research, Springer, vol. 319(1), pages 661-695, December.

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