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Simulation of Water–Energy–Food–Carbon Nexus in the Agricultural Production Process in Liaocheng Based on the System Dynamics (SD)

Author

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  • Wenshuang Yuan

    (School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China)

  • Hao Wang

    (Postdoctoral Research Center of Water Resources Research Institute of Shandong Province, Jinan 250013, China)

  • Yuyu Liu

    (School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
    Postdoctoral Research Center of Water Resources Research Institute of Shandong Province, Jinan 250013, China)

  • Song Han

    (School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China)

  • Xin Cong

    (School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China)

  • Zhenghe Xu

    (School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China)

Abstract

To achieve regional sustainable development, the low-carbon transformation of agriculture is essential, as it serves both as a significant carbon source and as a potential carbon sink. This study calculated the agricultural carbon emissions in Liaocheng from 2010 to 2022 by analyzing processes including crop cultivation, animal husbandry, and agricultural input. Additionally, a simulation model of the water–energy–food–carbon nexus (WEFC-Nexus) for Liaocheng’s agricultural production process was developed. Using Vensim PLE 10.0.0 software, this study constructed a WEFC-Nexus model encompassing four major subsystems: economic development, agricultural production, agricultural inputs, and water use. The model explored four policy scenarios: business-as-usual scenario (S1), ideal agricultural development (S2), strengthening agricultural investment (S3), and reducing agricultural input costs (S4). It also forecast the trends in carbon emissions and primary sector GDP under these different scenarios from 2023 to 2030. The conclusions were as follows: (1) Total agricultural carbon emissions exhibited a three-phase trajectory, namely, “rapid growth (2010–2014)–sharp decline (2015–2020)–gradual rebound (2021–2022)”, with sectoral contributions ranked as livestock farming (50%) > agricultural inputs (27%) > crop cultivation (23%). (2) The carbon emissions per unit of primary sector GDP (CEAG) for S2, S3, and S4 decreased by 8.86%, 5.79%, and 7.72%, respectively, compared to S1. The relationship between the carbon emissions under the four scenarios is S3 > S1 > S2 > S4. The relationship between the four scenarios in the primary sector GDP is S3 > S2 > S4 > S1. S2 can both control carbon emissions and achieve growth in primary industry output. Policy recommendations emphasize reducing chemical fertilizer use, optimizing livestock management, enhancing agricultural technology efficiency, and adjusting agricultural structures to balance economic development with environmental sustainability.

Suggested Citation

  • Wenshuang Yuan & Hao Wang & Yuyu Liu & Song Han & Xin Cong & Zhenghe Xu, 2025. "Simulation of Water–Energy–Food–Carbon Nexus in the Agricultural Production Process in Liaocheng Based on the System Dynamics (SD)," Sustainability, MDPI, vol. 17(14), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:14:p:6607-:d:1705454
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    References listed on IDEAS

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