Influence of Expenditures in the Development of the Digital Economy on the Volume of Russia's GDP

IF 0.7 Q3 ECONOMICS
S. Petrov, M. Maslov, A. Karpovich
{"title":"Influence of Expenditures in the Development of the Digital Economy on the Volume of Russia's GDP","authors":"S. Petrov, M. Maslov, A. Karpovich","doi":"10.15826/vestnik.2020.19.4.020","DOIUrl":null,"url":null,"abstract":"The purpose of this work is to assess the effectiveness of achieving planned investment indicators within the framework of the national program «Digital Economy of the Russian Federation» and the adequacy of investments in the digitalization of the economy to form positive dynamics of Russia's GDP. The hypothesis is tested about the presence of influence, along with the indicators of the functioning of traditional sectors of the economy, of indicators of digital sectors of the economy and indicators of investments in digital transformation in Russia. The methodology for such calculation is based on the theory of elasticity, which can be used to analyze the efficiency of resources (investments) in the case of alleged underfunding of a certain economic entity, that took place in the case of the specified program. This technique involves the construction of a Cobb-Douglas production function. The data of Russian statistical compilations in the regional context for the period from 2015 to 2018 were used as an information base for calculating and constructing a production function. Within the adopted specification of the cross-sectional regression model, the parameters of the production function were determined for each year within the specified period. Also, the predicted values ​​of the indicators of the used information base for 2019 and 2020 were determined using the linear regression method, and, proceeding from them, parameters of the production function were determined. Due to the incompatibility of data on the indicator of internal costs for the development of the digital economy in the program «Digital Economy of the Russian Federation» and the statistical indicator of the cost of information and communication technologies, it was necessary to calculate the ratio between these indicators. The solution to this problem showed that these indicators are in good agreement with each other with a difference of only a few percent. The final result of the study is an assessment of GDP losses while maintaining the dynamics of digitalization costs observed in 2015-2018, suggesting continuation of the trend towards the Digital Economy of the Russian Federation program being underfunded in 2019 and 2020.","PeriodicalId":44290,"journal":{"name":"Margin-Journal of Applied Economic Research","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Margin-Journal of Applied Economic Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15826/vestnik.2020.19.4.020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 2

Abstract

The purpose of this work is to assess the effectiveness of achieving planned investment indicators within the framework of the national program «Digital Economy of the Russian Federation» and the adequacy of investments in the digitalization of the economy to form positive dynamics of Russia's GDP. The hypothesis is tested about the presence of influence, along with the indicators of the functioning of traditional sectors of the economy, of indicators of digital sectors of the economy and indicators of investments in digital transformation in Russia. The methodology for such calculation is based on the theory of elasticity, which can be used to analyze the efficiency of resources (investments) in the case of alleged underfunding of a certain economic entity, that took place in the case of the specified program. This technique involves the construction of a Cobb-Douglas production function. The data of Russian statistical compilations in the regional context for the period from 2015 to 2018 were used as an information base for calculating and constructing a production function. Within the adopted specification of the cross-sectional regression model, the parameters of the production function were determined for each year within the specified period. Also, the predicted values ​​of the indicators of the used information base for 2019 and 2020 were determined using the linear regression method, and, proceeding from them, parameters of the production function were determined. Due to the incompatibility of data on the indicator of internal costs for the development of the digital economy in the program «Digital Economy of the Russian Federation» and the statistical indicator of the cost of information and communication technologies, it was necessary to calculate the ratio between these indicators. The solution to this problem showed that these indicators are in good agreement with each other with a difference of only a few percent. The final result of the study is an assessment of GDP losses while maintaining the dynamics of digitalization costs observed in 2015-2018, suggesting continuation of the trend towards the Digital Economy of the Russian Federation program being underfunded in 2019 and 2020.
数字经济发展支出对俄罗斯GDP体量的影响
这项工作的目的是评估在“俄罗斯联邦数字经济”国家计划框架内实现计划投资指标的有效性,以及经济数字化投资的充分性,以形成俄罗斯国内生产总值的积极动力。该假设与俄罗斯传统经济部门的功能指标、数字经济部门的指标和数字化转型投资指标一起,对影响力的存在进行了检验。这种计算的方法是基于弹性理论的,弹性理论可以用来分析在某一经济实体据称资金不足的情况下资源(投资)的效率,这种情况发生在特定方案的情况下。这种技术涉及到柯布-道格拉斯生产函数的构造。利用俄罗斯2015 - 2018年区域统计数据作为计算和构建生产函数的信息库。在采用截面回归模型的规范范围内,确定了规定时期内每年的生产函数参数。利用线性回归方法确定了2019年和2020年使用信息库各指标的预测值,并以此为基础确定了生产函数的参数。由于“俄罗斯联邦数字经济”计划中数字经济发展内部成本指标的数据与信息和通信技术成本的统计指标不兼容,有必要计算这些指标之间的比率。对这一问题的解决表明,这些指标之间的一致性很好,只有几个百分点的差异。该研究的最终结果是对GDP损失进行评估,同时保持2015-2018年观察到的数字化成本动态,表明2019年和2020年俄罗斯联邦数字经济项目资金不足的趋势将继续。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.40
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信