Pub Date : 2022-10-05DOI: 10.29141/2658-5081-2022-23-3-4
E. Lebezova, L. Ovcharenko
{"title":"A model of citizens’ digital participation in the Smart Environment","authors":"E. Lebezova, L. Ovcharenko","doi":"10.29141/2658-5081-2022-23-3-4","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-3-4","url":null,"abstract":"","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46630047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-05DOI: 10.29141/2658-5081-2022-23-3-1
D. Sitkevich
{"title":"Shadow economy: To legalise or to tolerate?","authors":"D. Sitkevich","doi":"10.29141/2658-5081-2022-23-3-1","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-3-1","url":null,"abstract":"","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48204755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-05DOI: 10.29141/2658-5081-2022-23-3-6
T. Vinogradova, M. Kuvshinov
{"title":"The study of employees’ innovative behaviour at industrial enterprises","authors":"T. Vinogradova, M. Kuvshinov","doi":"10.29141/2658-5081-2022-23-3-6","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-3-6","url":null,"abstract":"","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44589917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-08DOI: 10.29141/2658-5081-2022-23-2-1
O. Romanova, D. V. Sirotin
Industrialisation remains the major factor of development in the era of radical changes. Its drivers – advanced digital production technologies – are transforming the entire industrial and spatial landscape. Industrial regions take a special role in these transformations. The research aims to identify trends in the development of basic industries in industrial regions and work out a method to form their new technological image. Methodologically, the study relies on the institutional theory, theories of sustainable and longterm technical and economic development; applies methods of comparative, statistical, structural analysis and neural network modelling. Considering the case of the Ural metal industries, the study reveals the main trends of development and possibilities of forming the image of future of the basic industries of Russia’s industrial regions, as well as specifies the factors that modify these trends under the New Normal. Due to institutional and technological transformations, the Russian metal industries have achieved impregnable positions in the world market. The paper substantiates the changes in the development of the basic industries linked with the formation of Industry 5.0 as the new management paradigm, which assigns priority to the ESG factors. The research demonstrates that an indispensable condition for the successful functioning of companies is the ability to cooperate and agree on decisions. The findings confirm that modernised metal and other basic industries through integrating green, digital and behavioural economy will not only maintain, but are likely to increase their importance in the economy of industrial regions.
{"title":"Basic industries of Russia’s industrial regions: The image of the future","authors":"O. Romanova, D. V. Sirotin","doi":"10.29141/2658-5081-2022-23-2-1","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-2-1","url":null,"abstract":"Industrialisation remains the major factor of development in the era of radical changes. Its drivers – advanced digital production technologies – are transforming the entire industrial and spatial landscape. Industrial regions take a special role in these transformations. The research aims to identify trends in the development of basic industries in industrial regions and work out a method to form their new technological image. Methodologically, the study relies on the institutional theory, theories of sustainable and longterm technical and economic development; applies methods of comparative, statistical, structural analysis and neural network modelling. Considering the case of the Ural metal industries, the study reveals the main trends of development and possibilities of forming the image of future of the basic industries of Russia’s industrial regions, as well as specifies the factors that modify these trends under the New Normal. Due to institutional and technological transformations, the Russian metal industries have achieved impregnable positions in the world market. The paper substantiates the changes in the development of the basic industries linked with the formation of Industry 5.0 as the new management paradigm, which assigns priority to the ESG factors. The research demonstrates that an indispensable condition for the successful functioning of companies is the ability to cooperate and agree on decisions. The findings confirm that modernised metal and other basic industries through integrating green, digital and behavioural economy will not only maintain, but are likely to increase their importance in the economy of industrial regions.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43917670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-08DOI: 10.29141/2658-5081-2022-23-2-4
E. Animitsa, N. Novikova
The scientific paradigm of studying old industrial regions is of interdisciplinary nature, which is due to their complexity and uniqueness. The research aims to generalise about and systematise the scientific heritage concerning the factors behind and conditions of emergence, formation and transformation of old industrial regions, as well as peculiarities of their economic structure and dynamics. Methodologically, the research relies on the economic and social geography (principles underlying the typology of settlements), and regional science (regional economics and an economic genetic approach to regions). The study applies methods of formalisation, systematisation, time series analysis, bibliometric and content analysis and examines the data of Russia’s Federal State Statistics Service (Rosstat) and the Ministry of Economics and Territorial Development of the Sverdlovsk oblast. As a result, the paper substantiates the sustainability and resilience of the regional economy of Sverdlovsk oblast, a typical representative of Russia’s old industrial regions, in conditions of global external challenges; reveals the main factor behind the sustainability and resilience of the old industrial region; interprets the ‘genetic code’ of the Sverdlovsk oblast characterised by a historically emerged industrial specialisation; justifies the prospects for the new modernisation, which will strengthen and refine the revealed ‘genetic code’ to ensure the economic dynamism of the old industrial region under the new sanctions-induced challenges. The authors specifically point to an increasing significance of the Sverdlovsk oblast in conditions of the current crisis, since only this region in Russia retained the official status of the “supporting edge of the state”.
{"title":"Trends in economic dynamics of Russia’s classic old industrial region: The case of the Sverdlovsk oblast","authors":"E. Animitsa, N. Novikova","doi":"10.29141/2658-5081-2022-23-2-4","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-2-4","url":null,"abstract":"The scientific paradigm of studying old industrial regions is of interdisciplinary nature, which is due to their complexity and uniqueness. The research aims to generalise about and systematise the scientific heritage concerning the factors behind and conditions of emergence, formation and transformation of old industrial regions, as well as peculiarities of their economic structure and dynamics. Methodologically, the research relies on the economic and social geography (principles underlying the typology of settlements), and regional science (regional economics and an economic genetic approach to regions). The study applies methods of formalisation, systematisation, time series analysis, bibliometric and content analysis and examines the data of Russia’s Federal State Statistics Service (Rosstat) and the Ministry of Economics and Territorial Development of the Sverdlovsk oblast. As a result, the paper substantiates the sustainability and resilience of the regional economy of Sverdlovsk oblast, a typical representative of Russia’s old industrial regions, in conditions of global external challenges; reveals the main factor behind the sustainability and resilience of the old industrial region; interprets the ‘genetic code’ of the Sverdlovsk oblast characterised by a historically emerged industrial specialisation; justifies the prospects for the new modernisation, which will strengthen and refine the revealed ‘genetic code’ to ensure the economic dynamism of the old industrial region under the new sanctions-induced challenges. The authors specifically point to an increasing significance of the Sverdlovsk oblast in conditions of the current crisis, since only this region in Russia retained the official status of the “supporting edge of the state”.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45561310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-08DOI: 10.29141/2658-5081-2022-23-2-7
P.S. Kuklinova, V. Ilyashenko
The priority goal of Russia’s monetary policy is keeping inflation close to the target. Within the inflation-targeting regime, the monetary policy is adopted at the national level and therefore, is uniform for all regions of the country. However, differentiation of inflation rates between regions characteristic of Russia’s economy gains even greater importance under the enacted policy, because inflation targeting produces different effects on the sustainability of the economic development of regions with different industrial structures. The paper aims to study the impact of the inflation-targeting regime on the economic performance of the Sverdlovsk oblast, which belongs to old industrial regions. The methodological basis of the research consists of the theoretical propositions of economic theory and macroeconomics. The authors use correlation and factor analysis, methods of observation and comparison. According to the findings, implementing inflation targeting since 2015 has permitted to reduce inflation and keep it down in the Sverdlovsk oblast. However, it has also contributed to the deterioration of the key indicators reflecting its economic development. The study concludes that despite being effective in terms of reducing inflation, the said regime impedes sustainable economic development of the industrial region.
{"title":"The impact of the inflation-targeting regime on the economic development of an industrial region","authors":"P.S. Kuklinova, V. Ilyashenko","doi":"10.29141/2658-5081-2022-23-2-7","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-2-7","url":null,"abstract":"The priority goal of Russia’s monetary policy is keeping inflation close to the target. Within the inflation-targeting regime, the monetary policy is adopted at the national level and therefore, is uniform for all regions of the country. However, differentiation of inflation rates between regions characteristic of Russia’s economy gains even greater importance under the enacted policy, because inflation targeting produces different effects on the sustainability of the economic development of regions with different industrial structures. The paper aims to study the impact of the inflation-targeting regime on the economic performance of the Sverdlovsk oblast, which belongs to old industrial regions. The methodological basis of the research consists of the theoretical propositions of economic theory and macroeconomics. The authors use correlation and factor analysis, methods of observation and comparison. According to the findings, implementing inflation targeting since 2015 has permitted to reduce inflation and keep it down in the Sverdlovsk oblast. However, it has also contributed to the deterioration of the key indicators reflecting its economic development. The study concludes that despite being effective in terms of reducing inflation, the said regime impedes sustainable economic development of the industrial region.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46477489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-08DOI: 10.29141/2658-5081-2022-23-2-2
E. Dvoryadkina, E. Dzhalilov, N. Istomina
Behind the quality of economic space of traditional industrial regions, there are various factors at play, including the performance of municipalities, among which the impact of industrial municipalities is particularly noticeable. Most of the programmes presented in the Russian academic discourse and used to assess municipalities focus on revealing trends in their socioeconomic development. At the same time, regional economics lacks methodological approaches to assessing them in a spatial context. The research aims to develop an original method for analysing and evaluating the development of industrial municipalities in economic space of traditional industrial regions. Methodologically, the study rests on spatial and municipal economics, and the concept of functional complexity. The suggested programme for research consists of five blocks. The first four blocks include the assessment of the industrial municipalities’ participation in ensuring the saturation of regional economic space, forming region’s industrial potential and its municipal economic space, and processes of strengthening functional complexity of regional economic space. The fifth block includes the calculation and interpretation of composite indicators as well as building a typology of industrial municipalities. The practical significance of the developed programme for research is that it meets the need for the assessment of industrial municipalities as a system-forming element in the economic space of traditional industrial region.
{"title":"Industrial municipalities in economic space of traditional industrial regions: A programme for research","authors":"E. Dvoryadkina, E. Dzhalilov, N. Istomina","doi":"10.29141/2658-5081-2022-23-2-2","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-2-2","url":null,"abstract":"Behind the quality of economic space of traditional industrial regions, there are various factors at play, including the performance of municipalities, among which the impact of industrial municipalities is particularly noticeable. Most of the programmes presented in the Russian academic discourse and used to assess municipalities focus on revealing trends in their socioeconomic development. At the same time, regional economics lacks methodological approaches to assessing them in a spatial context. The research aims to develop an original method for analysing and evaluating the development of industrial municipalities in economic space of traditional industrial regions. Methodologically, the study rests on spatial and municipal economics, and the concept of functional complexity. The suggested programme for research consists of five blocks. The first four blocks include the assessment of the industrial municipalities’ participation in ensuring the saturation of regional economic space, forming region’s industrial potential and its municipal economic space, and processes of strengthening functional complexity of regional economic space. The fifth block includes the calculation and interpretation of composite indicators as well as building a typology of industrial municipalities. The practical significance of the developed programme for research is that it meets the need for the assessment of industrial municipalities as a system-forming element in the economic space of traditional industrial region.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47784489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-08DOI: 10.29141/2658-5081-2022-23-2-3
V. Antonyuk, E. Kornienko
Among the old industrial constituting entities of the Russian Federation there are the territories with middle and border location. Both types perform important functions in the national economy, however, their average gross regional product per capita is less than the average of non-old industrial regions. The article aims to hold a theoretical and methodological study of the specifics and factors of development of Russia’s old industrial border regions in comparison with old industrial middle regions to identify the thrusts of modernisation of the industrial space for the former. The theories of economic development and border studies as well as the concept of old industrial regions form the methodological basis of the research. The authors apply systems approach, abstraction and generalisation, factor and comparative analysis. The paper presents a method for assessing the economic development of old industrial border regions. The employment of this method allowed (1) revealing that border regions outperform middle regions in such indicators as GRP, value of fixed assets, investments in the fixed capital per capita; (2) identifying the factors limiting GRP per capita; (3) rating old industrial regions and providing a system of suggestions for accelerating their development. The findings can be useful for federal and regional authorities for fueling the economic growth of old industrial border regions.
{"title":"Economic development of Russia’s old industrial border regions","authors":"V. Antonyuk, E. Kornienko","doi":"10.29141/2658-5081-2022-23-2-3","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-2-3","url":null,"abstract":"Among the old industrial constituting entities of the Russian Federation there are the territories with middle and border location. Both types perform important functions in the national economy, however, their average gross regional product per capita is less than the average of non-old industrial regions. The article aims to hold a theoretical and methodological study of the specifics and factors of development of Russia’s old industrial border regions in comparison with old industrial middle regions to identify the thrusts of modernisation of the industrial space for the former. The theories of economic development and border studies as well as the concept of old industrial regions form the methodological basis of the research. The authors apply systems approach, abstraction and generalisation, factor and comparative analysis. The paper presents a method for assessing the economic development of old industrial border regions. The employment of this method allowed (1) revealing that border regions outperform middle regions in such indicators as GRP, value of fixed assets, investments in the fixed capital per capita; (2) identifying the factors limiting GRP per capita; (3) rating old industrial regions and providing a system of suggestions for accelerating their development. The findings can be useful for federal and regional authorities for fueling the economic growth of old industrial border regions.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44793034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-08DOI: 10.29141/2658-5081-2022-23-2-5
A. Dzyuba, I. Solovyeva, Aleksandr V. Semikolenov
Improving energy efficiency keeps on being one of the most pressing problems for Russian industry. The paper aims to examine the prospects of using microgrids in Russian regions, including in the old industrial ones, to reduce energy costs of industrial enterprises. The methodological basis of the study comprises theoretical aspects of pricing within the models of retail and wholesale energy markets, tenets of uneven demand for energy under the use of microgrids. The authors apply analysis, synthesis, systematisation and statistical observation, create matrices and positioning maps and explore the parameters of energy consumption schedules at industrial enterprises of various types as well as the values of ‘common pot’ electricity transmission tariffs introduced in the subjects of the Russian Federation. The researchers develop own system of indicators for assessing the variability in the cost of electricity transmission services and present a map of Russian regions that illustrate the prospects of using microgrids and mechanisms of demand management in industrially developed regions with a view to cutting energy costs.
{"title":"Prospects of introducing microgrids in Russian industry","authors":"A. Dzyuba, I. Solovyeva, Aleksandr V. Semikolenov","doi":"10.29141/2658-5081-2022-23-2-5","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-2-5","url":null,"abstract":"Improving energy efficiency keeps on being one of the most pressing problems for Russian industry. The paper aims to examine the prospects of using microgrids in Russian regions, including in the old industrial ones, to reduce energy costs of industrial enterprises. The methodological basis of the study comprises theoretical aspects of pricing within the models of retail and wholesale energy markets, tenets of uneven demand for energy under the use of microgrids. The authors apply analysis, synthesis, systematisation and statistical observation, create matrices and positioning maps and explore the parameters of energy consumption schedules at industrial enterprises of various types as well as the values of ‘common pot’ electricity transmission tariffs introduced in the subjects of the Russian Federation. The researchers develop own system of indicators for assessing the variability in the cost of electricity transmission services and present a map of Russian regions that illustrate the prospects of using microgrids and mechanisms of demand management in industrially developed regions with a view to cutting energy costs.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42083405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-08DOI: 10.29141/2658-5081-2022-23-2-6
Daria S. Bents
Threats of increased differentiation across regions, which have caused inefficient spatial development, are progressively coming into the scientists’ focus. By and large, a peripheral region is unlikely to take the place of the center. In the Urals1 , the Sverdlovsk oblast has long been the center and stayed ahead of its neighbours in terms of socioeconomic performance. Our previous research revealed a phenomenon called ‘synchronisation of economies’. Accordingly, the Chelyabinsk oblast in many instances repeats the trends of the Sverdlovsk oblast, but remains at the periphery. In this regard, studying the differentiation between the two economies becomes a relevant issue. The research aims to construct long-term trends of differentiation between regions using the case of the Sverdlovsk and Chelyabinsk oblasts. The theories of spatial development, including the theory of cumulative growth, constitute the methodological basis of the research. Applying the methods of statistical comparison and times series analysis, the study interprets the data published by Russia’s Federal State Statistics Service (Rosstat), the Unified Interdepartmental Statistical Information System (UISIS), and generated by FIRA PRO information analytics system (OOO “First Independent Rating Agency”). The author proposes a method for assessing differentiation across regions based on 12 indicators. The findings demonstrate that for 2001–2020, the variation between the regions in terms of GRP per capita (in 2001 prices) has increased, whereas in terms of wages in prices of the same year it decreased. In relation to the outsider region, the Sverdlovsk oblast has kept its position in terms of the real GRP per capita compared to the Chelyabinsk oblast, which is approaching the outsider. At the same time, for 2001–2020, both regions have become closer to the leader. With regard to the real wages, the positions of the regions have nearly equalized, the ‘superiority’ over the outsider has decreased.
{"title":"Long-term trends in differentiation between regions: Sverdlovsk oblast vs Chelyabinsk oblast","authors":"Daria S. Bents","doi":"10.29141/2658-5081-2022-23-2-6","DOIUrl":"https://doi.org/10.29141/2658-5081-2022-23-2-6","url":null,"abstract":"Threats of increased differentiation across regions, which have caused inefficient spatial development, are progressively coming into the scientists’ focus. By and large, a peripheral region is unlikely to take the place of the center. In the Urals1 , the Sverdlovsk oblast has long been the center and stayed ahead of its neighbours in terms of socioeconomic performance. Our previous research revealed a phenomenon called ‘synchronisation of economies’. Accordingly, the Chelyabinsk oblast in many instances repeats the trends of the Sverdlovsk oblast, but remains at the periphery. In this regard, studying the differentiation between the two economies becomes a relevant issue. The research aims to construct long-term trends of differentiation between regions using the case of the Sverdlovsk and Chelyabinsk oblasts. The theories of spatial development, including the theory of cumulative growth, constitute the methodological basis of the research. Applying the methods of statistical comparison and times series analysis, the study interprets the data published by Russia’s Federal State Statistics Service (Rosstat), the Unified Interdepartmental Statistical Information System (UISIS), and generated by FIRA PRO information analytics system (OOO “First Independent Rating Agency”). The author proposes a method for assessing differentiation across regions based on 12 indicators. The findings demonstrate that for 2001–2020, the variation between the regions in terms of GRP per capita (in 2001 prices) has increased, whereas in terms of wages in prices of the same year it decreased. In relation to the outsider region, the Sverdlovsk oblast has kept its position in terms of the real GRP per capita compared to the Chelyabinsk oblast, which is approaching the outsider. At the same time, for 2001–2020, both regions have become closer to the leader. With regard to the real wages, the positions of the regions have nearly equalized, the ‘superiority’ over the outsider has decreased.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48669030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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