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Does collaboration pay in agricultural supply chain? An empirical approach

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journal contribution
posted on 2018-02-02, 15:23 authored by Stella Despoudi, Grammatoula PapaioannouGrammatoula Papaioannou, George Saridakis, Samir Dani
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 dataset 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.

History

School

  • Business and Economics

Department

  • Business

Published in

International Journal of Production Research

Citation

DESPOUDI, S. ... et al, 2018. Does collaboration pay in agricultural supply chain? An empirical approach. International Journal of Production Research, 56(13), pp. 4396-4417.

Publisher

© Taylor & Francis

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2017-12-21

Publication date

2018-03-05

Notes

This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 5 March 2018, available online: http://www.tandfonline.com/10.1080/00207543.2018.1440654.

ISSN

0020-7543

eISSN

1366-588X

Language

  • en