FIGARO-E3: a high-resolution extended multi-regional input-output database consistent with official statistics.

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2025-04-04 DOI:10.1038/s41597-025-04431-z

Ignacio Cazcarro, Arkaitz Usubiaga-Liaño, Marίa Victoria Román, Pablo Piñero, Erik Dietzenbacher, José Manuel Rueda-Cantuche, Iñaki Arto

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引用次数: 0

Abstract

Existing 'official' multi-regional input-output (MRIO) databases lack sufficient sectoral detail and extensions for calculating accurate environmental and social footprints. FIGARO-E3 is a highly disaggregated MRIO database for 2015 with labour and environmental extensions largely consistent with official statistics. The database has been created by disaggregating the official FIGARO database (46 countries, 64 industries/products) to achieve a resolution of 175 industries and 213 products based on the monetary structures of EXIOBASE. Labour accounts (including total employment and employment by gender and by skill) are based on OECD data and EXIOBASE structures. Energy accounts (primary energy supply, net, final and non-energy uses, energy industry own use and energy losses) are based on the IEA's extended energy balances and FIGARO-E3 MRIO tables. GHG emission accounts (covering four types of GHGs: CO2, CH4, N2O and fluorinated gases, both for combustion and non-combustion processes) are based on IEA and EDGAR data. GHG emission accounts for European countries have been reconciled with data from Eurostat. The FIGARO-E3 database is largely consistent with official statistics.

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FIGARO-E3：符合官方统计数据的高分辨率扩展多区域投入产出数据库。

现有的“官方”多区域投入产出（MRIO）数据库缺乏足够的部门细节和扩展来计算准确的环境和社会足迹。FIGARO-E3是2015年高度分类的MRIO数据库，其劳工和环境扩展与官方统计数据基本一致。该数据库是通过分解FIGARO官方数据库（46个国家，64个行业/产品）来创建的，以EXIOBASE的货币结构为基础，实现175个行业和213个产品的分辨率。劳动核算（包括总就业和按性别和技能划分的就业）以经合组织数据和EXIOBASE结构为基础。能源核算（初级能源供应、净、最终和非能源使用、能源工业自身使用和能源损失）是根据国际能源机构的扩展能源平衡和FIGARO-E3 MRIO表编制的。温室气体排放核算（包括燃烧和非燃烧过程的四种温室气体：CO2、CH4、N2O和氟化气体）以国际能源机构和EDGAR的数据为基础。欧洲各国的温室气体排放核算已与欧盟统计局的数据进行了核对。FIGARO-E3数据库与官方统计数据基本一致。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientific Data Social Sciences-Education

CiteScore

11.20

自引率

4.10%

发文量

689

审稿时长

16 weeks

期刊介绍： Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.