Import substitution Impact on Growth of Production of Mineral Products and Metallurgy: shortTerm and long-Term Forecasting of basic sectors of the National Economy

Q3 Economics, Econometrics and Finance
E. A. Fedorova, A. R. Nevredinov, K. S. Melikhov, A. Yashchenko
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Abstract

The purpose of the study is to identify ways of short- and medium-term development of mineral production and metallurgy in the Russian Federation in the context of the policy of sanctions based on economic and mathematical modeling. The impact of sanctions on production in the basic sectors of the Russian economy, as well as the impact of import substitution on production in the short- and long-term is investigated. The research methodology includes panel regression with fixed effects and Bayesian vector autoregression (BVAR model). The sanctions index is calculated based on a sentimental analysis of the texts of news publications. This index is based on the results of computer analysis of a set of thematic texts (evaluation of the frequency of words and phrases, correlation analysis, case analysis based on the BERT neural network). The paper demonstrates the importance of an industry-specific approach to the implementation of import substitution policy in view of its time horizon. For example, for the mineral products industry, the current import substitution policy can be considered effective in terms of the production index forecast, and for the metallurgical industry, the import substitution policy needs to be revised, since a sharp decline is expected in the short-term when the baseline scenario is implemented, and in the long-term production stabilizes without showing growth. As a result, the efficiency of the import substitution policy is considered to be completely dependent on the industry in which it is implemented. Fund intensity and other factors affecting industry cycles must be considered in order to forecast policy results. Import substitution also has a long-term positive impact.
进口替代对矿产品和冶金生产增长的影响:国民经济基本部门的短期和长期预测
本研究的目的是根据经济和数学模型确定在制裁政策背景下俄罗斯联邦矿产生产和冶金业的中短期发展方式。研究调查了制裁对俄罗斯经济基础部门生产的影响,以及进口替代对短期和长期生产的影响。研究方法包括固定效应面板回归和贝叶斯向量自回归(BVAR 模型)。制裁指数的计算基于对新闻出版物文本的情感分析。该指数基于对一组主题文本的计算机分析结果(词频和短语评估、相关性分析、基于 BERT 神经网络的案例分析)。本文从时间跨度的角度说明了针对具体行业实施进口替代政策的重要性。例如,对于矿产品行业来说,从生产指数预测来看,当前的进口替代政策可以被认为是有效的;而对于冶金行业来说,进口替代政策则需要进行修订,因为在实施基准方案时,预计短期内产量会急剧下降,而长期来看,产量会趋于稳定,不会出现增长。因此,进口替代政策的效率被认为完全取决于实施该政策的行业。为了预测政策结果,必须考虑资金密集度和影响行业周期的其他因素。进口替代也有长期的积极影响。
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
Finance: Theory and Practice
Finance: Theory and Practice Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
1.30
自引率
0.00%
发文量
84
审稿时长
8 weeks
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