Research on Global Fairness Coefficient Based on AHM-CRITIC-TOPSIS Algorithm

Abstract

With the signing of treaties for the exploration and utilization of outer space by most countries, mankind has begun to advance the exploitation of asteroid resources. However, due to the large number of countries involved and the limited space and resources of the planets, the issue of fairness in resource exploitation is gradually emerging. Asteroid mining is a typical example. To define global fairness, analyze the national allocation of asteroid mining, with the impact of mining sector changes, and propose mining fairness policies, we construct one model to measure global equity. in order to construct a Global Fairness Coefficient (GFC) and allocate mining resources and space, we collect data of 14 indicators from 5 dimensions of 266 countries, measure the global fairness coefficient of each country based on the AHM-CRITIC-TOPSIS coupled evaluation model, and rank countries by this coefficient. Finally, countries are divided into three categories using hierarchical clustering, and mineral resources are allocated to countries by category. Among them, the United States (0.482), China (0. 452), and Japan (0.414) are the top three countries in the ranking. In conclusion, the global equity coefficient model, linear regression model of planetary mining task allocation, sectoral change impact regression model, and global mining hierarchy analysis model constructed in this paper can provide a better assessment of global equity and provide relevant policy recommendations and decision options.