2019年4月 - 2022年3月
Testing for Distributional Divergence in the Pillars of Global Sustainable Development: Integrating the Insights from a New Hierarchical Clustering Algorithm
日本学術振興会 科学研究費補助金 Testing for Distributional Divergence in the Pillars of Global Sustainable Development: Integrating the Insights from a New Hierarchical Clustering Algorithm
- 担当区分
- 研究代表者
- 資金種別
- 競争的資金
Sustainable global development is commonly view as an equilibrium that rests upon three pillars: economic transformation, social inclusion, and environmental sustainability. However, the cross-country convergence/divergence dynamics of such a multidimensional concept are not yet well understood. In this study, I will test whether there is an increasing degree of distributional divergence in the pillars of sustainable development. To do so, I will integrate the distribution dynamics framework of the economic growth econometrics literature with a new hierarchical clustering algorithm of the unsupervised machine learning literature. More specifically, I will test distributional divergence as the formation of multiple basins of attraction (stationary clusters) that polarize or stratify the nonparametric kernel distribution of each supportive pillar. In doing so, I aim to provide a more complete representation of the recent dynamics and multidimensional structure of sustainable global development.