Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts: The case of the Argentine Pampas

Federico Bert, Michael North, Santiago Rovere, Eric Tatara, Charles Macal, Guillermo P Podesta

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Land exchange through rental transactions is a central process in agricultural systems. The land tenure regimes emerge from land transactions and structural and land use changes are tied to the dynamics of the land market. We introduce LARMA, a LAnd Rental MArket model embedded within the Pampas Model (PM), an agent-based model of Argentinean agricultural systems. LARMA produces endogenous formation of land rental prices. LARMA relies on traditional economic concepts for LRP formation but addresses some drawbacks of this approach by being integrated into an agent-based model that considers heterogeneous agents interacting with one another. PM-LARMA successfully reproduced the agricultural land tenure regimes and land rental prices observed in the Pampas. Including adaptive, heterogeneous and interacting agents was critical to this success. We conclude that agent-based and traditional economic models can be successfully combined to capture complex emergent land tenure and market price patterns while simplifying the overall model design.

Original languageEnglish (US)
Pages (from-to)97-110
Number of pages14
JournalEnvironmental Modelling and Software
Volume71
DOIs
StatePublished - Sep 1 2015

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agricultural land
Economics
market
economics
land tenure
land market
farming system
Land use
land use change
land
price

Keywords

  • Agent-based modeling
  • Agricultural land markets
  • Agricultural production
  • Argentina
  • Land tenure

ASJC Scopus subject areas

  • Ecological Modeling
  • Environmental Engineering
  • Software

Cite this

Simulating agricultural land rental markets by combining agent-based models with traditional economics concepts : The case of the Argentine Pampas. / Bert, Federico; North, Michael; Rovere, Santiago; Tatara, Eric; Macal, Charles; Podesta, Guillermo P.

In: Environmental Modelling and Software, Vol. 71, 01.09.2015, p. 97-110.

Research output: Contribution to journalArticle

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