Application of system thinking approach in identifying the challenges of beef value chain

Parisa Alizadeh, Hosein Mohammadi, Naser Shahnoushi, Sayed Saghaian, Alireza Pooya

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In this study, the system thinking approach was used to explain the challenges of the beef value chain in Mashhad, Iran. Due to the complexity of the system and its dynamic nature, rich picture and CATWOE analysis were used to structure the problem. After structuring the problem, the relationships between the chain actors were drawn in the causal loop diagram. Then, the system archetypes were identified. Results showed that the dynamics of this value chain could be explained by limit to growth, fixes that fail and shifting the burden archetypes. The results indicated that the beef import policy has not been effective to regulate the domestic market. Also, it can be concluded that beef cattle production in Mashhad is largely dependent on sustainable supply of livestock feed. So, enhancing cattle production requires policy making to increase availability of livestock feed. Therefore, it is recommended to plan for increasing its production through changing irrigation system and using early maturing and drought-tolerant varieties of corn.

Original languageEnglish
Pages (from-to)3-16
Number of pages14
JournalAgris On-line Papers in Economics and Informatics
Issue number2
StatePublished - Jun 1 2020

Bibliographical note

Publisher Copyright:
© 2020 Faculty of Economics and Management.


  • Beef
  • Causal loop diagram
  • Rich picture
  • System archetype
  • Value chain

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Agricultural and Biological Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Management, Monitoring, Policy and Law


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