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Synergizing farmland reverting and energy substitution programs in Wolong through agent-based modelling and cost-efficiency analysis

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  • Liu, Keyi
  • Chen, Yufeng
  • Xu, Liyan
  • Zhang, Xiao
  • Wang, Zilin
  • Li, Hailong
  • Yang, Yansheng
  • You, Hong
  • Li, Dihua

Abstract

Balancing human development with conservation necessitates ecological policies that optimize outcomes within limited budgets, highlighting the importance of cost-efficiency and local impact analysis. This study employs the Socio-Econ-Ecosystem Multipurpose Simulator (SEEMS), an Agent-Based Model (ABM) designed for simulating small-scale Coupled Human and Nature Systems (CHANS), to evaluate the cost-efficiency of two major ecology conservation programs: Grain-to-Green (G2G) and Firewood-to-Electricity (F2E). Focusing on China's Wolong National Reserve, a worldwide hot spot for flagship species conservation, the study evaluates the direct benefits of these programs, including reverted farmland area and firewood consumption, along with their combined indirect benefits on habitat quality, carbon emissions, and gross economic benefits. The findings are as follows: (1) The G2G program achieves optimal financial efficiency at approximately 500 CNY/Mu (∼1177.5 USD/ha), with diminishing returns observed beyond 1000 CNY/Mu (∼2355 USD/ha); (2) For the F2E program, the most fiscally cost-efficient option arises when the subsidized electricity price is at 0.4–0.5 CNY/kWh (∼0.063–0.079 USD/kWh), while further reductions of the prices to below 0.1 CNY/kWh (∼0.0157 USD/kWh) result in a diminishing cost-benefit ratio; (3) Comprehensive cost-efficiency analysis reveals no significant link between financial burden and carbon emissions, but a positive correlation with habitat quality and an inverted U-shaped relationship with total economic income; (4) Pareto analysis identifies 18 optimal dual-policy combinations for balancing carbon footprint, habitat quality, and gross economic benefits; (5) Posterior Pareto optimization further refines the selection of a specific policy scheme for a given realistic scenario. The analytical framework of this paper helps policymakers design economically viable and environmentally sustainable policies, addressing global conservation challenges.

Suggested Citation

  • Liu, Keyi & Chen, Yufeng & Xu, Liyan & Zhang, Xiao & Wang, Zilin & Li, Hailong & Yang, Yansheng & You, Hong & Li, Dihua, 2025. "Synergizing farmland reverting and energy substitution programs in Wolong through agent-based modelling and cost-efficiency analysis," Ecological Modelling, Elsevier, vol. 504(C).
    • Handle: RePEc:eee:ecomod:v:504:y:2025:i:c:s0304380025000651
    DOI: 10.1016/j.ecolmodel.2025.111079
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    1. Maestre Andrés, Sara & Calvet Mir, Laura & van den Bergh, Jeroen C.J.M. & Ring, Irene & Verburg, Peter H., 2012. "Ineffective biodiversity policy due to five rebound effects," Ecosystem Services, Elsevier, vol. 1(1), pages 101-110.
    2. Li, Hailong & Li, Dihua & Li, Ting & Qiao, Qing & Yang, Jian & Zhang, Hemin, 2010. "Application of least-cost path model to identify a giant panda dispersal corridor network after the Wenchuan earthquake—Case study of Wolong Nature Reserve in China," Ecological Modelling, Elsevier, vol. 221(6), pages 944-952.
    3. Norman Myers & Russell A. Mittermeier & Cristina G. Mittermeier & Gustavo A. B. da Fonseca & Jennifer Kent, 2000. "Biodiversity hotspots for conservation priorities," Nature, Nature, vol. 403(6772), pages 853-858, February.
    4. Emi Uchida & Jintao Xu & Scott Rozelle, 2005. "Grain for Green: Cost-Effectiveness and Sustainability of China’s Conservation Set-Aside Program," Land Economics, University of Wisconsin Press, vol. 81(2).
    5. Chen, Yufeng & Xu, Liyan & Zhang, Xiao & Wang, Zilin & Li, Hailong & Yang, Yansheng & You, Hong & Li, Dihua, 2023. "Socio-econ-ecosystem multipurpose simulator (SEEMS): An easy-to-apply agent-based model for simulating small-scale coupled human and nature systems in biological conservation hotspots," Ecological Modelling, Elsevier, vol. 476(C).
    6. Meyer, Paul A & Shipley, J J, 1970. "Pareto Optimal Redistribution: Comment," American Economic Review, American Economic Association, vol. 60(5), pages 988-990, December.
    7. Robinson, D.T. & Brown, D.G. & Currie, W.S., 2009. "Modelling carbon storage in highly fragmented and human-dominated landscapes: Linking land-cover patterns and ecosystem models," Ecological Modelling, Elsevier, vol. 220(9), pages 1325-1338.
    8. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
    9. Knetsch, Jack L, 1989. "The Endowment Effect and Evidence of Nonreversible Indifference Curves," American Economic Review, American Economic Association, vol. 79(5), pages 1277-1284, December.
    10. Williams, Perry J. & Kendall, William L., 2017. "A guide to multi-objective optimization for ecological problems with an application to cackling goose management," Ecological Modelling, Elsevier, vol. 343(C), pages 54-67.
    11. Paul A. Samuelson, 1956. "Social Indifference Curves," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 1-22.
    12. Frederick van der Ploeg & Cees Withagen, 2015. "Global Warming and the Green Paradox: A Review of Adverse Effects of Climate Policies," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 9(2), pages 285-303.
    13. Kenneth Chomitz & Charles Griffiths, 2001. "An Economic Analysis and Simulation of Woodfuel Management in the Sahel," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(3), pages 285-304, July.
    14. Aydilek, Harun & Aydilek, Asiye, 2020. "Do we really need heterogeneous agent models?," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 147-153.
    15. Gallen, Trevor S., 2021. "Predicting and decomposing why representative agent and heterogeneous agent models sometimes diverge," Economic Modelling, Elsevier, vol. 101(C).
    16. Massimiliano Piacenza, 2006. "Regulatory Contracts and Cost Efficiency: Stochastic Frontier Evidence from the Italian Local Public Transport," Journal of Productivity Analysis, Springer, vol. 25(3), pages 257-277, June.
    17. A. Greening, Lorna & Greene, David L. & Difiglio, Carmen, 2000. "Energy efficiency and consumption -- the rebound effect -- a survey," Energy Policy, Elsevier, vol. 28(6-7), pages 389-401, June.
    18. Herring, Horace, 2006. "Energy efficiency—a critical view," Energy, Elsevier, vol. 31(1), pages 10-20.
    19. Li An & Marc Linderman & Jiaguo Qi & Ashton Shortridge & Jianguo Liu, 2005. "Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 95(1), pages 54-79, March.
    Full references (including those not matched with items on IDEAS)

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