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Decision-Making Model to Support Agricultural Policies in Realizing Economic and Social Sustainability Cover

Decision-Making Model to Support Agricultural Policies in Realizing Economic and Social Sustainability

Open Access
|Oct 2024

Abstract

Background

Achieving economic and social sustainability is the goal of any policy when defining measures. We focus on the beef sector, where many challenges have arisen due to its structural characteristics, such as an unfavourable scale structure, high costs, low efficiency, and a low environmental footprint. This paper presents an example of the support provided by a mathematical programming model in the development of a Common Agricultural Policy Strategic Plan for the period 2023-2027.

Methods/approach

It is a model based on linear programming that allows such an ex-ante analysis by calculating production plans at the farm level and aggregating the results at the sector level.

Objectives

When defining the interventions, the question arose as to what the reform of the Common Agricultural Policy will bring and to what extent the sector should be supported in meeting these challenges. These were the concerns of agricultural policy that we sought to support by modelling different scenarios.

Results

The results show that the situation of the sector will worsen, especially for larger farms, but they also show the great importance of production-related payments to mitigate the negative trend.

Conclusions

The applied approach proves to be suitable for supporting the design of agricultural policy and achieving greater economic and social sustainability in the sector.

DOI: https://doi.org/10.2478/bsrj-2024-0023 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 177 - 190
Submitted on: Feb 12, 2024
Accepted on: Jun 22, 2024
Published on: Oct 10, 2024
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Jaka Žgajnar, Lidija Zadnik Stirn, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.