Author(s)

Junqi Liang, Xinpeng He, Junfan Zuo, Changpeng Wang

Corresponding Author

Junqi Liang

ABSTRACT

Based on the existing Computable General Equilibrium (CGE) policy analysis model, a set of Computable Food Equilibrium (CFE) system models are established. Efficiency, profitability, sustainability, and equity are introduced as essential indicator of our model. To optimize and predict the data selected for sustainability and equity, factor analysis is used to select the main relevant indicators. According to the existing multi-objective programming model, function programming is applied to the optimization of sustainability. By applying neural network model, the time of implementation of optimized system is predicted, which is 2027. Through the simulation of the CFE model, we have found that the model is particularly approximate for data from developing countries, and in the case study of Mexico we found that our system has some advantages to investigate indicators in terms of equity and sustainability.

KEYWORDS

Computable General Equilibrium, factor analysis, multi-objective programming, neural network model