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Modeling the environmental behavior and performance of livestock farmers in China: An ABM approach

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  • Zheng, Chaohui
  • Liu, Yi
  • Bluemling, Bettina
  • Chen, Jining
  • Mol, Arthur P.J.

Abstract

The diversity of farmers is a central concern in the development of environmental policies related to livestock production. However, this diversity is largely ignored in policy making, implementation and evaluation in China. In this research, an Agent-based Nutrient Emission Model (ANEM) was developed by integrating the decision making-process of individuals into an environmental impact assessment. The agent based model facilitates an improved understanding of how farmer behavior and associated environmental consequences change according to the heterogeneity of and interactions among farmers. Decisions related to farm-scale, manure collection technologies and manure handling patterns were identified as the most relevant behavior categories when analyzing nutrient emissions. The model was applied to pig farming in Zhongjiang County in Sichuan Province of China to simulate the dynamics of local livestock production and the associated nutrient emissions during the period from 2005 to 2008. The results suggest that ANEM adequately captures real-world dynamics and can provide recommendations to policy makers.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:agisys:v:122:y:2013:i:c:p:60-72
    DOI: 10.1016/j.agsy.2013.08.005
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    1. Happe, K. & Hutchings, N.J. & Dalgaard, T. & Kellerman, K., 2011. "Modelling the interactions between regional farming structure, nitrogen losses and environmental regulation," Agricultural Systems, Elsevier, vol. 104(3), pages 281-291, March.
    2. Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 57-72, March.
    3. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    4. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    5. Saqalli, M. & Gérard, B. & Bielders, C.L. & Defourny, P., 2011. "Targeting rural development interventions: Empirical agent-based modeling in Nigerien villages," Agricultural Systems, Elsevier, vol. 104(4), pages 354-364, April.
    6. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    7. Komarek, Adam M. & McDonald, Cam K. & Bell, Lindsay W. & Whish, Jeremy P.M. & Robertson, Michael J. & MacLeod, Neil D. & Bellotti, William D., 2012. "Whole-farm effects of livestock intensification in smallholder systems in Gansu, China," Agricultural Systems, Elsevier, vol. 109(C), pages 16-24.
    8. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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    Cited by:

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    7. Li, Jiangong & Akdeniz, Neslihan & Kim, Harrison Hyung Min & Gates, Richard S. & Wang, Xinlei & Wang, Kaiying, 2021. "Optimal manure utilization chain for distributed animal farms: Model development and a case study from Hangzhou, China," Agricultural Systems, Elsevier, vol. 187(C).

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