2021/06/07 by Samuel P. Loomis, Loomis, Samuel P., Mark Cooper +4
Computer Science · Economics, Econometrics and Finance · Environmental Science · Mathematics · Physics and Astronomy · #Artificial intelligence #Climate Change Policy and Economics #Combinatorics #Computer science #Distribution (mathematics) #Econometrics #Economics #Embodied cognition #Energy, Environment, Economic Growth #Environmental Impact and Sustainability #Liberian dollar #Majorization #Mathematical economics #Mathematics #Non-equilibrium thermodynamics #Physics #Sustainability and Ecological Systems Analysis #Thermodynamics #cond-mat.stat-mech #cs.IT #math.IT #physics.soc-ph #quant-ph
paper · pdf · doi:10.48550/arxiv.2106.03948
published in arXiv (Cornell University) (Cornell University) · 14 pages, 5 figures; 1 appendix; http://csc.ucdavis.edu/~cmg/compmech/pubs/netacam.htm
openalex publication_date 2021/06/07 · arxiv created 2021/11/12 · arxiv updated 2021/11/16 · openalex created_date 2022/07/25 · openalex updated_date 2026/08/05
Multiregional input-output (MRIO) tables, in conjunction with Leontief\nanalysis, are widely-used to assess the geographical distribution of carbon\nemissions and the economic activities that cause them. Majorization, a tool\noriginating in economics that has found utility in statistical mechanics, can\nprovide insight into how Leontief analysis links disparities in emissions with\nglobal income inequality. We examine Leontief analysis as a model, drawing out\nsimilarities with modern nonequilibrium statistical mechanics. Paralleling the\nphysical concept of thermo-majorization, we define the concept of\neco-majorization and show it is a sufficient condition to determine the\ndirectionality of embodied emission flows. Surprisingly, relatively small trade\ndeficits and a geographically heterogeneous emissions-per-dollar ratio greatly\nincreases the appearance of eco-majorization, regardless of any further content\nin the MRIO tables used. Our results are bolstered by a statistical analysis of\nnull models of MRIO tables, based on data provided by the Global Trade\nAggregation Project9\n