Research on global equity evaluation model based on resource allocation---Illustrated by the case of asteroid mining

Abstract

When asteroid mining becomes a reality, distributing these resources fairly and reasonably is a new challenge for mankind. In order to establish a scientific global fairness evaluation model based on the three faces of international inequality, we have a total of 13 data from different perspectives from the six aspects of the economy, environment, natural resources, technology, education, and health. Set out to assess global equity. After the principal component analysis of these 13 indicators, we finally selected one indicator for each aspect's main indicator. Subsequently, we considered the calculation methods of various indicator weights and finally chose to use the combination of EWM and TOPSIS to measure more objectively and accurately. After EWM, each data is given a weight, and TOPSIS is used to calculate the annual score of each country. The standard deviation of the annual results is used to describe the degree of inequality between countries through the degree of dispersion of the values between countries. The higher the degree of dispersion, the higher the inequality. We use an autoregressive artificial neural network to predict the future index (standard deviation) using the first five years of each year's World Equality Index as a parameter.