4.7 Article Data Paper

USEEIO v2.0, The US Environmentally-Extended Input-Output Model v2.0

期刊

SCIENTIFIC DATA
卷 9, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41597-022-01293-7

关键词

-

资金

  1. USEPA's Sustainable and Healthy Communities Research Program
  2. USEPA [HHSN316201200013W, EP-G16H-01256, EP-C-16-015, 68HERC19F0292]
  3. office of Fossil Energy (FE)
  4. United States Department of Energy (DOE), National Energy Technology Laboratory (NETL) under NETL [DE-FE0025912]

向作者/读者索取更多资源

USEEIO v2.0 is an environmental-economic model that can be used for various applications related to US goods and services. This paper describes the development of the model, introduces the model dataset and supporting datasets, and discusses the improvements made compared to previous versions. The model is validated through the reproduction of national totals and analysis of changes.
USEEIO v2.0 is an environmental-economic model of US goods and services that can be used for life cycle assessment, footprinting, national prioritization, and related applications. This paper describes the development of the model and accompanies the release of a full model dataset as well as various supporting datasets of national environmental totals by US industry. Novel methodological elements since USEEIO v1 models include waste sector disaggregation, final demand vectors for US consumption and production, a domestic form of the model that can be used to separate domestic and foreign impacts, and price adjustment matrices for converting outputs to purchaser price and in various US dollar years. Improvements in modeling national totals of industry and environmental flows are described. The model is validated through reproduction of national totals from input data sources and through analysis of changes from the most recent complete USEEIO model that can be explained based on data updates or method changes. The model datasets can all be reproduced with open source software packages.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据