Vol. 14 No. 3 (2025)
Special Issue 13th AIEAA Conference

Agriculture and Environment: The inclusion of Italy in the SIMPLE and SIMPLE-G models

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  • Cristina Vaquero-Piñeiro,
  • Maria Laura Ojeda,
  • Exequiel Romero Gomez,
  • Luca Salvatici
Cristina Vaquero-Piñeiro
Department of Economics, Statistics and Business, Universitas Mercatorum, Rome, Italy
Maria Laura Ojeda
Universidad de Buenos Aires. Facultad de Ciencias Económicas. Departamento de Economía. Buenos Aires, Argentina
Exequiel Romero Gomez
Universidad de Buenos Aires. Facultad de Ciencias Económicas. Departamento de Economía. Buenos Aires, Argentina
Luca Salvatici
Department of Economics, Statistics and Business, Universitas Mercatorum, Rome, Italy
DOI: https://doi.org/10.36253/bae-16785

Published 2025-06-23

Keywords

  • Climate change,
  • Agriculture Sustainability,
  • Simulation Models,
  • SIMPLE,
  • SIMPLE-G

How to Cite

Vaquero-Piñeiro, C., Ojeda, M. L., Gomez, E. R., & Salvatici, L. (2025). Agriculture and Environment: The inclusion of Italy in the SIMPLE and SIMPLE-G models. Bio-Based and Applied Economics, 14(3), 123–141. https://doi.org/10.36253/bae-16785

Copyright (c) 2025 Cristina Vaquero Piñeiro, Maria Laura Ojeda, Exequiel Romero Gomez, Luca Salvatici

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

The paper presents a methodological contribution to analysing the interactions between economic and environmental factors by using the Simplified International Model of Agricultural Prices, Land Use and Environment (SIMPLE) model and its gridded version (SIMPLE-G). While SIMPLE addresses national agricultural trends, SIMPLE-G offers a detailed, spatially disaggregated analysis essential for assessing local impacts. We improve these models by building a comprehensive database, capturing aggregate and georeferenced data regarding Italy. The use of the models with the extended dataset may support the implementation of adaptation strategies offering boundary conditions for local decision-makers while reflecting the impact of policies on national and global variables. The article outlines the models’ structure, data sources, and calibration process, providing a preliminary application of SIMPLE for updating the baseline.

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