scholarly journals THE FACTOR MODEL FOR FINANCING THE INCREASE OF GROSS REGIONAL PRODUCT

2015 ◽  
Vol 6 (3) ◽  
Author(s):  
Вячеслав Бубнов
2019 ◽  
Vol 16 (6) ◽  
pp. 4-18 ◽  
Author(s):  
Yu. S. Ivchenko

The purpose of the research is to identify factors that determine the level of gross regional product, using the construction of econometric models. In terms of the economic theory the volume of gross added value of the region depends on existence of resources, efficiency of use of resources, level of effective demand for the consumption of gross added value, level of export, structure of the regional economy. In the article, by constructing econometric models with a different set of factors, the most essential and statistically significant factors determining the level of gross regional product were identified.Materials and methods. Official data of Federal State Statistics Service for 2016 formed empirical base of the research. The aggregate of the constituent entities of the Russian Federation was considered as a statistical aggregate as an object of study, and both the complete aggregate of subjects and the aggregate of entities with a gross regional product level of less than and more than a trillion rubles were studied. Research method is econometric modeling of gross regional product based on spatial data on constituent entities of the Russian Federation. The parameters of the multiple linear regression models in absolute values and in logarithms were estimated using the least squares method. To test the null hypotheses, a five percent significance level was adopted. Interval estimation of model parameters was carried out taking into account standard errors consistent under heteroskedasticity. The quality of models was defined by coefficient of determination, mean relative error of approximation, Ramsey’s test checking a null hypothesis about lack of the passed variables in model. Implementation of the research was carried out in the RStudio software product.Results. Eight qualitative models of multiple linear regression are constructed. Two models are constructed on the general set of constituent entities of the Russian Federation: 1) model in absolute values with three quantitative signs and one attributive sign characterizing group of entities on the level of a gross regional product; 2) three-factor model in logarithms. Two models are constructed on set of entities with a gross regional product less than one trillion rubles: 1) model in absolute values with seven quantitative signs, five of which were statistically significant; 2) four-factor model in logarithms. Four two-factor models are constructed on set of entities with a gross regional product more than one trillion rubles.Conclusion. In all constructed models the most significant factors of the level of gross regional product are: a) factor of fixed capital (average annual residual cost of fixed assets); b) factor of effective demand (expressed by one of the following indicators: social expenses of the budget, total income of the population, wage fund); c) factor of level of financial resources (expressed by the volume of average annual balances on ruble accounts of legal persons and balance of incomes and expenses of the enterprises and organizations). At creation of econometric models statistically insignificant were factors of resource efficiency (capital productivity, labor productivity, profitability), factors characterizing the volume of foreign economic activity and a share of the extractive industries. The economy of the regions in 2016 can be described as an economy of an extensive type, focusing on the use of domestic capital and financial resources.


2020 ◽  
Vol 18 (4) ◽  
pp. 662-674
Author(s):  
S.G. Serikov

Subject. This article explores the changes in the economic development of the Chukotka Autonomous Okrug during the Soviet and post-Soviet periods. Objectives. The article aims to identify trends and features of the socio-economic development of the Chukotka Autonomous Okrug. Methods. For the study, I used the comparative, computational, constructive, and statistical analysis methods. Results. The article reveals key factors in the growth of the Chukotka Autonomous Okrug's gross regional product and the economic challenges to the region. As well, the article considers and proposes some possible options for further socio-economic development of the Okrug. Conclusions. The Okrug's current socio-economic problems are caused by not objective reasons only, but subjective factors, as well.


Author(s):  
Н.А. ЧИСТОВА ◽  
А.С. БОРОДИН ◽  
А.Е. КУЧЕРЯВЫЙ

Статья посвящена анализу возможностей сетей связи для сокращения цифрового разрыва между регионами Российской Федерации. Основным результатом статьи является установление взаимосвязи валового регионального продукта и доли занятых в сфере информатизации и связи в общем числе занятых во всех отраслях. Результаты статьи могут быть использованы заинтересованными министерствами и ведомствами при реализации программы цифровой экономики, научными и проектными организациями при планировании и проектировании сетей связи, а также университетами в учебном процессе. The article is devoted to the analysis of the capabilities of telecommunication networks with ultralow latency to reduce the digital divide between the regions of the Russian Federation. The main result of the article is to establish the relationship between the gross regional product and the share of people employed in the field of informatization and communications in the total number of people employed in all industries. The results of the article can be used by interested ministries and departments in the implementation of the digital economy program, scientific and design organizations in the planning and design of communication networks, as well as by universities in the educational process.


1967 ◽  
Vol 1 (1) ◽  
pp. 33-45
Author(s):  
Harold T. Moody ◽  
Frank W. Puffer ◽  
Robert M. Williams

Kavkaz-forum ◽  
2021 ◽  
pp. 113-123
Author(s):  
М.Р. КУЛОВА ◽  
Е.Ю. ИВАНОВА ◽  
Т.Ю. ИТАРОВА

В статье рассматриваются особенности взаимосвязи, инертность и изменчивость динамики доходов населения и показателей валового регионального продукта в субъектах Северо-Кавказского федерального округа. В условиях стагнации российской экономики в последние годы проблема роста валового регионального продукта и доходов населения в депрессивных регионах Северного Кавказа приобретает особую значимость. Проведенный авторами корреляционный анализ доходов населения и валового регионального продукта за 2000-2018 гг. методом Пирсона выявил, что, в отличие от российских регионов в целом с их достаточно сильной связью между валовым региональным продуктом и доходами населения, в регионах Северного Кавказа наблюдалось очень значительное расхождение в коэффициентах корреляции. В частности, в Северной Осетии в течение 2011-2015 гг. экономический рост и доходы населения находились в состоянии слабой зависимости, а уже в 2015-2018 гг. эта связка стала почти идеальной, когда коэффициент корреляции достиг 0,99. Резкие скачки в тесноте связей ВРП и доходов населения имели место в Дагестане, Карачаево-Черкессии, в то время как относительно стабильная динамика коэффициентов корреляции ВРП с доходами была характерна для Ингушетии. В Кабардино-Балкарии и Ставропольском крае, где были отмечены низкие и отрицательные значения коэффициентов корреляции, в динамике доходов населения и экономическим ростом проявилась либо слабая связь, либо обратная связь, когда увеличение одной переменной приводит к уменьшению другой. В целом, разнонаправленность динамики показателей валового регионального продукта и доходов населения в регионах СКФО отражает неэффективность экономической политики и необходимость более дифференцированного подхода к отдельным территориям макрорегиона. The article discusses the features of the relationship, inertia and variability of the dynamics of household income and gross regional product indicators in the subjects of the North Caucasian Federal District. In the context of the stagnation of the Russian economy in recent years, the problem of the growth of GRP and income of the population in the depressed regions of the North Caucasus is of particular importance. The authors' correlation analysis of the population's income and the gross regional product for 2000-2018 according to Pearson method revealed that, in contrast to the Russian regions as a whole with their rather strong relationship between the gross regional product and the population's income, there was a very significant discrepancy in the correlation coefficients in the regions of the North Caucasus. In particular, in North Ossetia, during 2011-2015, economic growth and income of the population were in a state of weakened mutual dependence, and already in 2015-2018, this link became almost perfect, when the correlation coefficient reached 0.99. Sharp changes in the close relationship between GRP and income of the population occurred in Dagestan, Karachay-Cherkessia, while the relatively stable dynamics of the correlation coefficients of GRP with income was characteristic of Ingushetia. In Kabardino-Balkaria and Stavropol Krai, where low and negative values of correlation coefficients were noted, the dynamics of household income and economic growth showed either a weak relationship or an inverse relationship, when an increase in one variable leads to a decrease in the other. In general, the divergence of the dynamics of the gross regional product and income indicators in the regions of the NCFD reflects the inefficiency of economic policy and the need for a more differentiated approach to individual territories of the macroregion.


Author(s):  
G. A. AKZHANOVA ◽  
◽  
G. A. SHMARLOUSKAYA ◽  

The article considers the terms “innovation potential”, “regional innovation potential”, and the state of innovation potential. The purpose of this article is to determine the current state and prospects for the development of the innovative potential of the Akmola region. The research methodology consists in systematization of innovative indicators of the region by comparison and economic and statistical groupings. The analysis of the formation of the innovative potential of the region on the example of the Northern regions of the Republic of Kazakhstan is carried out. In particular, the dynamics of the gross regional product and innovation activity in the Akmola region is presented.


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