Equity-Ecological Food System Based on Hierarchical Clustering

Abstract

The modernization of life has witnessed profound changes triggered by human intervention, and currently, the current food system seems to act extraordinarily well. However, with the technology of agriculture’s evolution and the establishment of the world market of the modern economic system, the gap between the rich and the poor still exists, and the nutritional structure between regions is also very different because of the gap between the rich and the poor. The hunger rate still maintains at a high level. Moreover, the ecology of environment is over concerned by experts since the area of cultivated land continue to rise, which substantially increases carbon dioxide emissions. An Equity-Ecological Food System is required extremely, considering the environmental protection and equity. What we urge to do is turn this gorgeous assumption to truth. In order to meet the most basic food needs of our human beings, we should try our best to meet the needs of people’s lives and vigorously maintain the current level of enjoyment, reduce the hunger rate and improve the nutritional structure as far as possible. In this paper, apply available information to convert the food system optimization into a new mathematical model and compare it to the old one. Some representative countries are selected by data preprocessing based on hierarchical clustering, which greatly reduces the complexity of the model algorithm. Then we abandon the idea of efficiency and income first in the existing food system, and use (0.8, 0.2) ranking vector to weight the satiety rate and income, and carry out multi-objective programming under the constraints of cultivated land area, per capita daily intake of calories and protein. An improved program is developed through goal planning to optimize the food system in the region to achieve the goals of reducing hunger, improving nutrition and increasing overall efficiency