Multiregional input-output (MRIO) tables, in conjunction with Leontief analysis, are widely-used to assess the geographical distribution of carbon emissions and the economic activities that cause them. Majorization, a tool originating in economics that has found utility in statistical mechanics, can provide insight into how Leontief analysis links disparities in emissions with global income inequality. We examine Leontief analysis as a model, drawing out similarities with modern nonequilibrium statistical mechanics. Paralleling the physical concept of thermo-majorization, we define the concept of eco-majorization and show it is a sufficient condition to determine the directionality of embodied emission flows. Surprisingly, relatively small trade deficits and a geographically heterogeneous emissions-per-dollar ratio greatly increases the appearance of eco-majorization, regardless of any further content in the MRIO tables used. Our results are bolstered by a statistical analysis of null models of MRIO tables, based on data provided by the Global Trade Aggregation Project9
翻译:多区域投入-产出(MRIO)表,连同Leontief分析,被广泛用于评估碳排放和导致碳排放的经济活动的地理分布。主要化是源于经济学的一个工具,在统计机械方面很有用,主要化可以使人们深入了解Leontief分析如何将排放差异与全球收入不平等联系起来。我们研究Leontief分析作为模型,从中得出与现代的无平衡统计机制的相似之处。与热占多数的物理概念平行,我们界定了生态占多数的概念,并表明它是确定内含排放流动方向的充足条件。令人惊讶的是,相对较小的贸易赤字和地域差异化的每美元排放比率大大增加了生态占多数的外观,而不论所用MRIO表格中的任何进一步内容如何。我们的成果得到基于全球贸易汇总项目提供的数据对MRIO表格无效模型进行统计分析的支持。