Joint modeling in the bovine livestock network: application of the Game Theory framework.

  • Santiago Agustín Perez Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) – Facultad de Agrono-mía, Universidad Nacional de La Pampa https://orcid.org/0000-0002-7679-8819
  • Santiago Ferro Moreno Facultad de Agronomía, Universidad Nacional de La Pampa
  • Gastón Silverio Milanesi Departamento de Ciencias de la Administración, Universidad Nacional del Sur

Keywords:

Coordination, Economic model, Joints, Equilibrium

Abstract

The game theory framework can be used in a wide range of disciplines and case studies. The present work proposes the game theory approach and binomial grids, as strategic tools to analyze and evaluate the articulation and decision making of actors of the bovine livestock complex, specifically breeding and wintering. The originality arises from incorporating the strategic interdependence and articulations between players considering different scenarios of each particular business. The results allow us to conclude that a prisoner's dilemma is reached from the differences between articulating through raised channels. The breeder, as an actor with less power, is the one who should guide greater efforts of direct articulation with the winterer.

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Author Biography

Santiago Agustín Perez, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) – Facultad de Agrono-mía, Universidad Nacional de La Pampa

Licenciado en Administración de Negocios Agropecuarios, Facultad de Agronomía, Universidad Nacional de La Pampa. Actualmente se desempeña como Becario Doctoral de CONICET, desarrollando el Doctorado en Ciencias de la Administración de la Universidad Nacional del Sur. 

Published

2023-02-24

How to Cite

Perez, S. A., Ferro Moreno, S., & Milanesi, G. S. (2023). Joint modeling in the bovine livestock network: application of the Game Theory framework. Perspectivas De Las Ciencias Económicas Y Jurídicas, 13(1). Retrieved from https://cerac.unlpam.edu.ar/ojs/index.php/perspectivas/article/view/6972

Issue

Section

Investigación científica