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

被引:21
作者
Bert, Federico [1 ,2 ]
North, Michael [3 ]
Rovere, Santiago [4 ]
Tatara, Eric [3 ]
Macal, Charles [3 ]
Podesta, Guillermo [5 ]
机构
[1] Univ Buenos Aires, Fac Agron, Buenos Aires, DF, Argentina
[2] Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina
[3] Argonne Natl Lab, Decis & Informat Sci Div, Argonne, IL 60439 USA
[4] Univ Buenos Aires, Fac Ingn, Buenos Aires, DF, Argentina
[5] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA
基金
美国国家科学基金会;
关键词
Agricultural land markets; Agricultural production; Land tenure; Argentina; Agent-based modeling; COMPUTATIONAL ECONOMICS; ASPIRATION LEVEL; SYSTEMS; ADAPTATION; TAXONOMY; BEHAVIOR; ADOPTION; TRADE;
D O I
10.1016/j.envsoft.2015.05.005
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:97 / 110
页数:14
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