索引(排版)
输入/输出
表(数据库)
航程(航空)
系列(地层学)
计算机科学
电
计量经济学
时间序列
统计
运筹学
集合(抽象数据类型)
环境科学
数学
数据挖掘
工程类
古生物学
电气工程
生物
万维网
程序设计语言
航空航天工程
操作系统
作者
Duo Xu,Gengyuan Liu,Hui Li,Fanjuan Meng,Changlin Yu,Feni Agostinho,Camila de Almeida,Biagio F. Giannetti
出处
期刊:iScience
[Elsevier]
日期:2023-11-01
卷期号:26 (11): 108045-108045
标识
DOI:10.1016/j.isci.2023.108045
摘要
This paper proposes a process for updating monthly input-output tables with monthly macroeconomic statistics and published input-output tables. Reasonable assumptions are set up and 48 monthly input-output tables are prepared from 2018 to 2021 with the combination of the row range series method and nonlinear mathematical planning. The Weaver-Thomas composite index is used to analyze the role of the sector in the economic network, and the sectoral correlation indicators are used to analyze the correlation change of the sector's monthly electricity emissions to show an environmental application effect of the monthly input-output table. The results show that the monthly input-output tables can be prepared with acceptable accuracy, and they can reveal the sectoral network structure changes and sectoral carbon emissions changes in continuous monthly time series. The proposed approach contributes for the compilation of high-time-frequency input-output tables, so as to support high-frequency industrial environmental impact analysis.
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