Changes in the labor market with the introduction of scientific and technological innovations into the economy (foreign and domestic experience)

V. V. Erokhin
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Abstract

The article presents the impact of scientific and technological innovations on the industrial structure of the tradable sector of the economy. The analysis of economic data was carried out on the basis of the VAR model by Christopher Albert Sims for 15 developed countries with open economies and without a sanction’s regime, including the Russian Federation, for the period 1995…2013. Research has shown that the greater the continuous growth of total factor productivity (TFP) in the tradable sector of the economy compared to growth in the non-tradable sector, the more labor resources move from the tradable sector to the non-tradable sector of the economy, which has a stimulating effect on the share of labor income in both sectors of the economy. A model of the influence of scientific and technological innovations on the labor market in the tradable sector of the economy has been developed. The model allows for a state with an open economy and taking into account cross-country dispersion of redistribution effects to calculate factor technological changes. The model predicts the most accurate results for states where capital-intensive industries make a greater contribution to the increase in total factor productivity of the trade sector of the economy, i. e. for states in which capital increases in relation to labor efficiency.
劳动力市场随着经济引入科技创新而发生的变化(国外和国内经验)
文章介绍了科技创新对可贸易经济部门产业结构的影响。根据克里斯托弗-阿尔伯特-西姆斯(Christopher Albert Sims)的 VAR 模型,对包括俄罗斯联邦在内的 15 个经济开放且无制裁制度的发达国家 1995...2013 年期间的经济数据进行了分析。研究表明,与非贸易部门的增长相比,可贸易经济部门全要素生产率(TFP)的持续增长越大,从可贸易经济部门转移到非贸易经济部门的劳动力资源就越多,从而对这两个经济部门的劳动收入份额产生刺激作用。我们建立了一个科技创新对可贸易经济部门劳动力市场影响的模型。该模型考虑了开放经济国家的情况,并考虑了再分配效应的跨国分散性,以计算要素技术变化。在资本密集型产业对经济贸易部门全要素生产率的提高贡献较大的国家,即资本的增长与劳动效率相关的国家,该模型预测的结果最为准确。
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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