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Modelling the interactions between regional farming structure, nitrogen losses and environmental regulation

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Cited by:

  1. Xiaoxing Qi & Jialong Xie & Hangyu Huang & Jianchun Li & Wenhua Yuan, 2024. "Reconciling grain production and environmental costs during rural livelihood transitions: a simulation-based approach in southern China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 16(3), pages 781-799, June.
  2. Zheng, Chaohui & Liu, Yi & Bluemling, Bettina & Chen, Jining & Mol, Arthur P.J., 2013. "Modeling the environmental behavior and performance of livestock farmers in China: An ABM approach," Agricultural Systems, Elsevier, vol. 122(C), pages 60-72.
  3. Mack, Gabriele & Huber, Robert, 2017. "On-farm compliance costs and N surplus reduction of mixed dairy farms under grassland-based feeding systems," Agricultural Systems, Elsevier, vol. 154(C), pages 34-44.
  4. Brown, Bijon & Schoney, Richard & Nolan, James, 2021. "Assessing the food vs. fuel issue: An agent-based simulation," Energy Policy, Elsevier, vol. 159(C).
  5. Zheng, Yanan & Goddard, Ellen W. & Qiu, Feng, "undated". "Exploring the Effect of Disease Outbreaks on Farm Structure Change: A Dynamic Analysis for Canadian Pig Industry," 2018 Annual Meeting, August 5-7, Washington, D.C. 273801, Agricultural and Applied Economics Association.
  6. 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.
  7. Alena Schmidt & Magdalena Necpalova & Albert Zimmermann & Stefan Mann & Johan Six & Gabriele Mack, 2017. "Direct and Indirect Economic Incentives to Mitigate Nitrogen Surpluses: A Sensitivity Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-7.
  8. Jouan, Julia & Ridier, Aude & Carof, Matthieu, 2020. "SYNERGY: A regional bio-economic model analyzing farm-to-farm exchanges and legume production to enhance agricultural sustainability," Ecological Economics, Elsevier, vol. 175(C).
  9. Schaefer, David & Britz, Wolfgang & Kuhn, Till, "undated". "Modelling policy induced manure transports at large scale using an agent-based simulation model," Discussion Papers 305270, University of Bonn, Institute for Food and Resource Economics.
  10. Claudia Parra Paitan & Peter H. Verburg, 2019. "Methods to Assess the Impacts and Indirect Land Use Change Caused by Telecoupled Agricultural Supply Chains: A Review," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
  11. Utomo, Dhanan Sarwo & Onggo, Bhakti Stephan & Eldridge, Stephen, 2018. "Applications of agent-based modelling and simulation in the agri-food supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 794-805.
  12. Julia Jouan & Aude Ridier & Matthieu Carof, 2018. "SYNERGY: a bio economic model assessing the economic and environmental impacts of increased regional protein self-sufficiency," Post-Print hal-01937084, HAL.
  13. Mikkel Bojesen & Hans Skov-Petersen & Morten Gylling, 2013. "Forecasting the potential of Danish biogas production: spatial representation of Markov chains," IFRO Working Paper 2013/16, University of Copenhagen, Department of Food and Resource Economics.
  14. Kremmydas, Dimitris & Athanasiadis, Ioannis N. & Rozakis, Stelios, 2018. "A review of Agent Based Modeling for agricultural policy evaluation," Agricultural Systems, Elsevier, vol. 164(C), pages 95-106.
  15. Malawska, Anna & Topping, Christopher John, 2016. "Evaluating the role of behavioral factors and practical constraints in the performance of an agent-based model of farmer decision making," Agricultural Systems, Elsevier, vol. 143(C), pages 136-146.
  16. Soraya Tanure & Carlos Nabinger & João Luiz Becker, 2015. "Bioeconomic Model of Decision Support System for Farm Management: Proposal of a Mathematical Model," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(6), pages 658-671, November.
  17. Eigner, Amanda E. & Nuppenau, Ernst-August, 2019. "Applied spatial approach of modelling field size changes based on a consideration of farm and landscape interrelations," Agricultural Systems, Elsevier, vol. 176(C).
  18. Djanibekov, Utkur & Finger, Robert, 2015. "The effects of variability under farm land consolidation process: A perspective of cotton-growing farmers in Uzbekistan," 2015 Conference, August 9-14, 2015, Milan, Italy 211829, International Association of Agricultural Economists.
  19. Elodie Letort & Pierre Dupraz & Laurent Piet, 2017. "The impact of environmental regulations on the farmland market and farm structures: An agent-based model applied to the Brittany region of France," Working Papers SMART 17-01, INRAE UMR SMART.
  20. Kirchweger, Stefan & Kantelhardt, Jochen, 2014. "Structural Change and Farm Investment Support in Austria," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170545, Agricultural Economics Society.
  21. Djanibekov, Utkur & Finger, Robert, 2018. "Agricultural risks and farm land consolidation process in transition countries: The case of cotton production in Uzbekistan," Agricultural Systems, Elsevier, vol. 164(C), pages 223-235.
  22. Aihua Long & Pei Zhang & Yang Hai & Xiaoya Deng & Junfeng Li & Jie Wang, 2020. "Spatio-Temporal Variations of Crop Water Footprint and Its Influencing Factors in Xinjiang, China during 1988–2017," Sustainability, MDPI, vol. 12(22), pages 1-15, November.
  23. Reidsma, Pytrik & Janssen, Sander & Jansen, Jacques & van Ittersum, Martin K., 2018. "On the development and use of farm models for policy impact assessment in the European Union – A review," Agricultural Systems, Elsevier, vol. 159(C), pages 111-125.
  24. Sardorbek Musayev & Jonathan Mellor & Tara Walsh & Emmanouil Anagnostou, 2022. "Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia," Forecasting, MDPI, vol. 4(1), pages 1-22, March.
  25. Berre, D. & Diarisso, T. & Andrieu, N. & Le Page, C. & Corbeels, M., 2021. "Biomass flows in an agro-pastoral village in West-Africa: Who benefits from crop residue mulching?," Agricultural Systems, Elsevier, vol. 187(C).
  26. Dimitris Kremmydas, 2012. "Agent based modeling for agricultural policy evaluation: A review," Working Papers 2012-3, Agricultural University of Athens, Department Of Agricultural Economics.
  27. Hao, Xiaoli & Wen, Shufang & Xue, Yan & Wu, Haitao & Hao, Yu, 2023. "How to improve environment, resources and economic efficiency in the digital era?," Resources Policy, Elsevier, vol. 80(C).
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