War and Peace: Structural changes in the U.S. industries 1939–1958

Q3 Decision Sciences
Kazusuke Tsujimura, Masako Tsujimura
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引用次数: 0

Abstract

In his memoir published in 2002, George Dantzig, who had invented the simplex algorithm to solve linear programming problems, praised Wassily Leontief as a great pioneer for proposing a large but simple matrix model that represents the interindustry input-output structure of an economy. Input-output tables, which depict the transactions of goods and services between industries, have been intensively used to prepare the U.S. economy for World War II, and to eventually liberate Europe. This paper not only revisits the early development of structural analysis but also applies it to the 1939, 1947 and 1958 U.S. input-output tables using triangulation and dispersion indices as fundamental tools. The degree of integrity represented in the Leontief inverse significantly increased as the division of work progressed in the time of war to achieve maximum productivity. The structural changes ensured a smooth transition of the American economy from peacetime to wartime, and later, the fast rebuilding of European economies that had been completely devastated during the war.
战争与和平:1939年至1958年美国工业的结构变化
乔治·丹齐格(George Dantzig)在2002年出版的回忆录中称赞瓦西里·莱昂惕夫(Wassily Leontief)是一位伟大的先驱,他提出了一个庞大而简单的矩阵模型,代表了一个经济体的产业间投入产出结构。丹齐格发明了单纯形算法来解决线性规划问题。投入产出表描述了工业之间的商品和服务交易,它被广泛用于美国经济为第二次世界大战做准备,并最终解放了欧洲。本文不仅回顾了结构分析的早期发展,而且将其应用于1939年、1947年和1958年的美国投入产出表,使用三角测量和分散指数作为基本工具。Leontief逆图所代表的完整性程度随着战争时期工作分工的发展而显著增加,以实现最大的生产力。结构性变化确保了美国经济从和平时期到战时的平稳过渡,随后,在战争期间被彻底摧毁的欧洲经济得以迅速重建。
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来源期刊
Statistical Journal of the IAOS
Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
0.00%
发文量
116
期刊介绍: This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.
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