Research on the Re-Optimizing Food Systems

Authors

  • Meiyao Xin
  • Qixuan Hu
  • Fangshuo Cai

DOI:

https://doi.org/10.54097/hset.v68i.12497

Keywords:

Principal component analysis; system optimization; comprehensive evaluation; time prediction.

Abstract

Because the current food system prioritizes efficiency and profitability without considering equity and sustainability, the system is already very unstable. Therefore, we put forward optimization policies without changing the free market, and based on this, we established the food system evaluation model, the food system optimization model, and the time prediction model. We use data to analyze major issues and estimate the benefits of these policies. Because the current food system prioritizes efficiency and profitability without considering equity and sustainability, the system is already very unstable. Therefore, we put forward optimization policies without changing the free market, and based on this, we established the food system evaluation model, the food system optimization model, and the time prediction model. We use data to analyze major issues and estimate the benefits of these policies. We use the R language to perform correlation analysis on factors that may affect the food system. Then we use principal component analysis and factor analysis to find direct connections between different variables and establish comprehensive indicators to evaluate the food system. We evaluate from the perspectives of market, industrial foundation, technology, and adjustment capabilities, and analyze changes in the food system through changes in indicators related to equity and sustainability. Then we establish the SI model to estimate the time required to implement the system.

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References

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EAT-Lancet_Commission_Summary_Report

http://net.blogchina.com/blog/article/958430259

https://m.thepaper.cn/newsDetail_forward_7962304

https://zh.wfp.org/food-systems

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Published

09-10-2023

How to Cite

Xin, M., Hu, Q., & Cai, F. (2023). Research on the Re-Optimizing Food Systems. Highlights in Science, Engineering and Technology, 68, 342-350. https://doi.org/10.54097/hset.v68i.12497