Abstract

<p style="text-align: justify;">The current global food system is unstable. Even if the food produced is enough to feed everyone in the world, many people still go hungry and cause tremendous damage to the environment. Therefore, it is very important to optimize the current food system. <p style="text-align: justify;">We have established an EESPE model to evaluate the current food system and an optimized OESPE model. Through the comparison of the two models, our OESPE model is based on optimizing the current food system in terms of fairness and sustainability, and also makes profits and efficiency maintains a high level, and has a faster implementation time. <p style="text-align: justify;">We used 16 separate indicators to measure these four aspects. We adopted the AHP and entropy method to determine the weights of indicators at all levels of the system. Rely on indicators at all levels to quantify the impact on the food system. <p style="text-align: justify;">We specifically analyzed the differences in the system before and after the optimization of the food system and the impact on various indicators, and predicted the relevant time of the system through the time prediction model. Based on the OESPE model, EESPE model, to solve the problems of developed and developing countries. <p style="text-align: justify;">Finally, we discussed the advantages and disadvantages of the model and summarized it.

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