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A review of Agent Based Modeling for agricultural policy evaluation

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  1. Diego Ferraro & Daniela Blanco & Sebasti'an Pessah & Rodrigo Castro, 2021. "Land use change in agricultural systems: an integrated ecological-social simulation model of farmer decisions and cropping system performance based on a cellular automata approach," Papers 2109.01031, arXiv.org, revised Sep 2021.
  2. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
  3. Christian Troost & Julia Parussis-Krech & Matías Mejaíl & Thomas Berger, 2023. "Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 721-759, October.
  4. Jörg Rieger & Florian Freund & Frank Offermann & Inna Geibel & Alexander Gocht, 2023. "From fork to farm: Impacts of more sustainable diets in the EU‐27 on the agricultural sector," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(3), pages 764-784, September.
  5. Ben Fradj, Nosra & Jayet, Pierre Alain & Rozakis, Stelios & Georganta, Eleni & Jędrejek, Anna, 2020. "Contribution of agricultural systems to the bioeconomy in Poland: Integration of willow in the context of a stylised CAP diversification," Land Use Policy, Elsevier, vol. 99(C).
  6. Shang, Linmei & Heckelei, Thomas & Börner, Jan & Rasch, Sebastian, 2020. "Adoption and Diffusion of Digital Farming Technologies – Integrating Farm-Level Evidence and System-Level Interaction," 60th Annual Conference, Halle/ Saale, Germany, September 23-25, 2020 305586, German Association of Agricultural Economists (GEWISOLA).
  7. Cristina Vaquero-Piñeiro, 2020. "A voyage in the role of territory: are territories capable of instilling their peculiarities in local production systems," Departmental Working Papers of Economics - University 'Roma Tre' 0251, Department of Economics - University Roma Tre.
  8. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
  9. Stefano Yohanes Munaiseche & Abdul Rahman Dilapanga & Recky Herold Elby Sendouw & Marthinus Mandagi, 2022. "Evaluation of Beriman's Terminal Retribution at Tomohon City," Technium Social Sciences Journal, Technium Science, vol. 29(1), pages 29-41, March.
  10. Ida Nadia S. Djenontin & Leo C. Zulu & Arika Ligmann-Zielinska, 2020. "Improving Representation of Decision Rules in LUCC-ABM: An Example with an Elicitation of Farmers’ Decision Making for Landscape Restoration in Central Malawi," Sustainability, MDPI, vol. 12(13), pages 1-35, July.
  11. Zantsi, Siphe & Mack, Gabriele & Möhring, Anke & Cloete, Kandas & Greyling, Jan C & Mann, Stefan, 2024. "How can South Africa’s land redistribution succeed? An agent-based modelling approach for assessing structural and economic impacts," IAAE 2024 Conference, August 2-7, 2024, New Delhi, India 344233, International Association of Agricultural Economists (IAAE).
  12. Ainsworth, Penelope & Bell, Kendon & Barker, Adam, 2024. "An agent-based approach to QUICKly valuing the benefits of agricultural research and extension," Agricultural Systems, Elsevier, vol. 216(C).
  13. Le, Thi Ha Lien & Kristiansen, Paul & Vo, Brenda & Moss, Jonathan & Welch, Mitchell, 2024. "Understanding factors influencing farmers’ crop choice and agricultural transformation in the Upper Vietnamese Mekong Delta," Agricultural Systems, Elsevier, vol. 216(C).
  14. Njiru, Ruth & Appel, Franziska & Dong, Changxing & Balmann, Alfons, 2024. "Application of Deep Learning to Emulate an Agent-Based Model," FORLand Project Publications 340874, University of Natural Resources and Applied Life Sciences, Vienna, Department of Economics and Social Sciences.
  15. Anshuka Anshuka & Floris F. Ogtrop & David Sanderson & Simone Z. Leao, 2022. "A systematic review of agent-based model for flood risk management and assessment using the ODD protocol," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 2739-2771, July.
  16. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
  17. van der Linden, Aart & de Olde, Evelien M. & Mostert, Pim F. & de Boer, Imke J.M., 2020. "A review of European models to assess the sustainability performance of livestock production systems," Agricultural Systems, Elsevier, vol. 182(C).
  18. Mössinger, Johannes & Troost, Christian & Berger, Thomas, 2022. "Bridging the gap between models and users: A lightweight mobile interface for optimized farming decisions in interactive modeling sessions," Agricultural Systems, Elsevier, vol. 195(C).
  19. Huber, Robert & Bakker, Martha & Balmann, Alfons & Berger, Thomas & Bithell, Mike & Brown, Calum & Grêt-Regamey, Adrienne & Xiong, Hang & Le, Quang Bao & Mack, Gabriele & Meyfroidt, Patrick & Millingt, 2018. "Representation of decision-making in European agricultural agent-based models," Agricultural Systems, Elsevier, vol. 167(C), pages 143-160.
  20. Linmei Shang & Jifeng Wang & David Schäfer & Thomas Heckelei & Juergen Gall & Franziska Appel & Hugo Storm, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 235-260, February.
  21. Alper Bayram & Antonino Marvuglia & Maria Myridinas & Marta Porcel, 2022. "Increasing Biowaste and Manure in Biogas Feedstock Composition in Luxembourg: Insights from an Agent-Based Model," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
  22. Huber, Robert & Kreft, Cordelia & Späti, Karin & Finger, Robert, 2024. "Quantifying the importance of farmers' behavioral factors in ex-ante assessments of policies supporting sustainable farming practices," Ecological Economics, Elsevier, vol. 224(C).
  23. Williams, T.G. & Guikema, S.D. & Brown, D.G. & Agrawal, A., 2020. "Resilience and equity: Quantifying the distributional effects of resilience-enhancing strategies in a smallholder agricultural system," Agricultural Systems, Elsevier, vol. 182(C).
  24. Ran Sun & James Nolan & Suren Kulshreshtha, 2022. "Agent-based modeling of policy induced agri-environmental technology adoption," SN Business & Economics, Springer, vol. 2(8), pages 1-26, August.
  25. Lisa Baldi & Arfini, Filippo & Calzolai, Sara & Donati, Michele, 2023. "CAP reform and GHG emissions: policy assessment using a PMP agent-based model," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334520, Agricultural Economics Society - AES.
  26. Alina Evelyn Badillo-Márquez & Alberto Alfonso Aguilar-Lasserre & Marco Augusto Miranda-Ackerman & Oscar Osvaldo Sandoval-González & Daniel Villanueva-Vásquez & Rubén Posada-Gómez, 2021. "An Agent-Based Model-Driven Decision Support System for Assessment of Agricultural Vulnerability of Sugarcane Facing Climatic Change," Mathematics, MDPI, vol. 9(23), pages 1-32, November.
  27. Marten Graubner & Richard J. Sexton, 2023. "More competitive than you think? Pricing and location of processing firms in agricultural markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(3), pages 784-808, May.
  28. Reinhard, Stijn & Naranjo, María A. & Polman, Nico & Hennen, Wil, 2022. "Modelling choices and social interactions with a threshold public good: Investment decisions in a polder in Bangladesh," Land Use Policy, Elsevier, vol. 113(C).
  29. Carauta, Marcelo & Troost, Christian & Guzman-Bustamante, Ivan & Hampf, Anna & Libera, Affonso & Meurer, Katharina & Bönecke, Eric & Franko, Uwe & Ribeiro Rodrigues, Renato de Aragão & Berger, Thomas, 2021. "Climate-related land use policies in Brazil: How much has been achieved with economic incentives in agriculture?," Land Use Policy, Elsevier, vol. 109(C).
  30. Seidel, Claudia & Shang, Linmei & Britz, Wolfgang, 2023. "A critical assessment of neural networks as meta-model of a farm optimization model," Discussion Papers 338200, University of Bonn, Institute for Food and Resource Economics.
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