Data and code for "Meeting U.S. Greenhouse Gas Emissions Goals with the International Air Pollution Provision of the Clean Air Act"

<p>For the files and data associated with the Yuan et al. 2022 &quot;Meeting U.S. Greenhouse Gas Emissions Goals with the International Air Pollution Provision of the Clean Air Act&quot;</p> <p>Description: Data/code used in energy-economic impacts and health impacts analysis.</p> <p>Directory contents:</p> <p><strong>Energy Economic Impacts</strong></p> <ul> <li><strong>Code&nbsp;</strong>used for producing figures and data tables <ul> <li>&#39;paperFigs_March2022.Rmd&#39; contains the R code used for data analysis and visualization in the paper. (<em>The code runs with R v4.0.0, RStudio v1.4.1106, and the following packages: scales_1.1.1, ggpubr_0.4.0, cowplot_1.1.0, readxl_1.3.1, here_0.1, forcats_0.5.0, stringr_1.4.0, dplyr_1.0.4, purrr_0.3.4, readr_1.3.1, tidyr_1.1.0, tibble_3.0.6, ggplot2_3.3.4, and tidyverse_1.3.0.</em>)</li> <li>&#39;ERL_Figure4.py&#39; contains the Python code used for generating Figure 4 in the paper</li> </ul> </li> <li><strong>Table</strong>: data tables for figures in the paper and supplementary materials</li> <li><strong>Figure</strong>: figures in the paper and supplementary materials</li> <li><strong>Data</strong>: USREP-ReEDS results and data from other sources <ul> <li>&#39;rrpt_subset.csv&#39; contains the portions of the ReEDS output from February 26, 2021 that are necessary to create the figures in the paper.</li> <li>&#39;urpt_subset.csv&#39; contains the portions of the USREP output from February 26, 2021 that are necessary to create the figures in the paper.</li> <li>&#39;urpt_welfare_subset.csv&#39; contains more detailed USREP welfare output from February 26, 2021.</li> <li>&#39;cooper_pop_proj.csv&#39; contains U.S. population projections from the University of Virginia Weldon Cooper Center for Public Service published in 2018.</li> <li>&#39;carbon_price_comparison.csv&#39; contains data from other recent carbon pricing studies, as described in supplementary materials G.</li> </ul> </li> </ul> <p><strong>Health Impacts</strong></p> <ul> <li><strong>analysis</strong>: <ul> <li><strong>lib</strong>: annotated code library, which loads raw data from the root data folder and conducts health impacts analysis</li> <li><strong>data</strong>: outputs <ul> <li><strong>inmap</strong>: spatial inputs/outputs for inmap</li> <li><strong>working</strong>: intermediate procssed output files</li> <li><strong>final</strong>: final health impacts results</li> </ul> </li> </ul> </li> <li><strong>data</strong>: raw data used in analysis <ul> <li><strong>working</strong>: processed intermediate raw data for faster loading in R</li> </ul> </li> </ul>