We apply a four-stage methodology (i.e., cluster analysis, data mining, partial least square path modeling, and importance-performance analysis) to identify the critical paths to multi-dimensional prosperity of nations. Using the Legatum Prosperity Index across 142 countries as a proxy for prosperity, we find strong evidence of the positive causal mechanisms among dimensions of prosperity. This implies that individual dimensions of prosperity should not be weighted equally in designing policies that support prosperity of nations. In line with human capital theory, we find that education and the pupil to teacher ratio are the key policy drivers of prosperity enhancement.

我们应用四阶段方法（即聚类分析、数据挖掘、偏最小二乘路径建模和重要性绩效分析）来确定国家多维繁荣的关键路径。使用跨越 142 个国家的 Legatum 繁荣指数作为繁荣的代理，我们发现了繁荣维度之间积极因果机制的有力证据。这意味着在设计支持国家繁荣的政策时，繁荣的各个方面不应该被同等重视。根据人力资本理论，我们发现教育和师生比例是促进繁荣的关键政策驱动因素。