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Grain self-sufficiency versus environmental stress: An integration of system dynamics and life cycle assessment

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Listed:
  • Zhai, Yijie
  • Bai, Yueyang
  • Wu, Zhen
  • Hong, Jinglan
  • Shen, Xiaoxu
  • Xie, Fei
  • Li, Xiangzhi

Abstract

Developing a sustainable grain supply is essential, especially in China. However, most previous research adopted a static approach to assess the environmental impacts of grain production, and such an approach focuses only on the product supply chain. An integrated system dynamics and life cycle assessment model was employed in this study to estimate and simulate the long-term performance of China's grain system from 2009 to 2030 from a holistic and dynamic perspective. Results showed that the fossil depletion of China's current 1 t of grain production per year was 1.11 × 104 MJ, which was mainly attributed to fertilizer production. For water footprint, the human health impact was 4.85 × 10−4 DALY/t, in which the water consumption contributed almost 77%, while the ecosystem quality impact was 7.86 × 10−6 species. yr/t, overwhelmingly derived from water pollution. Simulation results showed that the environmental impacts of China's grain production will increase by at least 19% in 2030 compared with the current situation if current development modes remain unchanged. Considerable benefits were observed in the integrated scenario, which would decrease the footprint results by up to 27% while increasing the self-sufficiency rate by 10%. Scenario analyses indicated that adopting measures from the production and consumption perspectives (e.g., simultaneously adjusting planting structure, increasing rural investment, reducing fertilizer application, and modifying diet structure) could effectively mitigate the environmental burdens while enhancing food security. Moreover, promoting the development of agricultural water conservancy measures and renewable energy with high utilization rates is recommended to ameliorate the water scarcity impact and ensure sustainable agricultural development.

Suggested Citation

  • Zhai, Yijie & Bai, Yueyang & Wu, Zhen & Hong, Jinglan & Shen, Xiaoxu & Xie, Fei & Li, Xiangzhi, 2022. "Grain self-sufficiency versus environmental stress: An integration of system dynamics and life cycle assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
  • Handle: RePEc:eee:rensus:v:159:y:2022:i:c:s1364032122000818
    DOI: 10.1016/j.rser.2022.112153
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    1. Guohua He & Yong Zhao & Jianhua Wang & Haihong Li & Yongnan Zhu & Shang Jiang, 2019. "The water–energy nexus: energy use for water supply in China," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 35(4), pages 587-604, July.
    2. Zhang, Biao & Fu, Zetian & Wang, Jieqiong & Zhang, Lingxian, 2019. "Farmers’ adoption of water-saving irrigation technology alleviates water scarcity in metropolis suburbs: A case study of Beijing, China," Agricultural Water Management, Elsevier, vol. 212(C), pages 349-357.
    3. Li, Fu Jia & Dong, Suo Cheng & Li, Fei, 2012. "A system dynamics model for analyzing the eco-agriculture system with policy recommendations," Ecological Modelling, Elsevier, vol. 227(C), pages 34-45.
    4. Zhang, Dahai & Wang, Jiaqi & Lin, Yonggang & Si, Yulin & Huang, Can & Yang, Jing & Huang, Bin & Li, Wei, 2017. "Present situation and future prospect of renewable energy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 865-871.
    5. Zhang, Ruirui & Wang, Guiling & Shen, Xiaoxu & Wang, Jinfeng & Tan, Xianfeng & Feng, Shoutao & Hong, Jinglan, 2020. "Is geothermal heating environmentally superior than coal fired heating in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    6. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
    7. Inas El-Gafy, 2014. "System Dynamic Model for Crop Production, Water Footprint, and Virtual Water Nexus," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4467-4490, October.
    8. Kakali Mukhopadhyay & Paul J. Thomassin & Jingyuan Zhang, 2018. "Food security in China at 2050: a global CGE exercise," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-29, December.
    9. Feng, Le & Chen, Bin & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2017. "Dynamic forecasting of agricultural water footprint based on Markov Chain-a case study of the Heihe River Basin," Ecological Modelling, Elsevier, vol. 353(C), pages 150-157.
    10. Markus Berger & Matthias Finkbeiner, 2013. "Methodological Challenges in Volumetric and Impact‐Oriented Water Footprints," Journal of Industrial Ecology, Yale University, vol. 17(1), pages 79-89, February.
    11. Guangyang Wu & Lanhai Li & Sajjad Ahmad & Xi Chen & Xiangliang Pan, 2013. "A Dynamic Model for Vulnerability Assessment of Regional Water Resources in Arid Areas: A Case Study of Bayingolin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 3085-3101, June.
    12. Cui, Xiaowei & Hong, Jinglan & Gao, Mingming, 2012. "Environmental impact assessment of three coal-based electricity generation scenarios in China," Energy, Elsevier, vol. 45(1), pages 952-959.
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    1. Zhai, Yijie & Bai, Yueyang & Shen, Xiaoxu & Zhang, Tianzuo & Jia, Yuke & Ren, Ke & Zhou, Xinying & Cheng, Ziyue & Hong, Jinglan, 2023. "Provincial water availability footprint evaluation and transfer analysis of China’s grain products: A life cycle perspective," Agricultural Water Management, Elsevier, vol. 276(C).
    2. Hai, Nan & Gong, Daqing & Liu, Shifeng & Dai, Zixuan, 2022. "Dynamic coupling risk assessment model of utility tunnels based on multimethod fusion," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

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