Pub Date : 2022-01-01DOI: 10.17059/ekon.reg.2022-2-4
B. Krasnopolski
An important problem of the impact of institutional infrastructure on the decomposition and spatial development transformation of regions of various hierarchical ranks, including the Arctic zone that is divided between the Arctic countries according to the national principle, is insufficiently studied. The majority of scientific works devoted to this issue mostly focus on the traditional economic assessment of the sectoral effect of activities and the concept of spatial economics. Thus, methodological approaches to the study of infrastructure and institutional structure should not rely on the traditional principles of mainstream economics. Instead, they should be based on the system-evolutionary model of modern natural science and should be closely related to such an indicator of system development as self-organisation. Internal (endogenous) and external (exogenous) elements of infrastructure cause stability (order) and chaos (disorder) in the development of systems, as well as lead to the interrelated and balanced formation of hierarchical and heterarchical organisational models of regional spatial units. This methodological approach also applies to institutional infrastructure. The present study provides theoretical justifications and methodological approaches corresponding with the aforementioned principles of infrastructure research, designed for the regions of the Arctic basin. In terms of scientific practice, it is proved that the intensification of institutional infrastructure in the Pacific Arctic depends on the creation of the Russian-American Bering/Pacific-Arctic Council (BPAC). Various expert communities discussed these proposals at several international conferences. At present, however, their practical implementation became impossible due to complicated geopolitical situation. Despite this, it is necessary to continue research aimed at the improvement of institutional structures and coordination of interactions between the Arctic regions, especially in cross-border areas of neighbouring countries. The obtained findings will definitely be useful for the Arctic community, when a reasonable approach to this problem will again prevail over geopolitical disputes.
{"title":"Institutional Infrastructure of Arctic Spatial-Economic Units","authors":"B. Krasnopolski","doi":"10.17059/ekon.reg.2022-2-4","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-4","url":null,"abstract":"An important problem of the impact of institutional infrastructure on the decomposition and spatial development transformation of regions of various hierarchical ranks, including the Arctic zone that is divided between the Arctic countries according to the national principle, is insufficiently studied. The majority of scientific works devoted to this issue mostly focus on the traditional economic assessment of the sectoral effect of activities and the concept of spatial economics. Thus, methodological approaches to the study of infrastructure and institutional structure should not rely on the traditional principles of mainstream economics. Instead, they should be based on the system-evolutionary model of modern natural science and should be closely related to such an indicator of system development as self-organisation. Internal (endogenous) and external (exogenous) elements of infrastructure cause stability (order) and chaos (disorder) in the development of systems, as well as lead to the interrelated and balanced formation of hierarchical and heterarchical organisational models of regional spatial units. This methodological approach also applies to institutional infrastructure. The present study provides theoretical justifications and methodological approaches corresponding with the aforementioned principles of infrastructure research, designed for the regions of the Arctic basin. In terms of scientific practice, it is proved that the intensification of institutional infrastructure in the Pacific Arctic depends on the creation of the Russian-American Bering/Pacific-Arctic Council (BPAC). Various expert communities discussed these proposals at several international conferences. At present, however, their practical implementation became impossible due to complicated geopolitical situation. Despite this, it is necessary to continue research aimed at the improvement of institutional structures and coordination of interactions between the Arctic regions, especially in cross-border areas of neighbouring countries. The obtained findings will definitely be useful for the Arctic community, when a reasonable approach to this problem will again prevail over geopolitical disputes.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"27 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75027779","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 : 2022-01-01DOI: 10.17059/ekon.reg.2022-3-17
N. Uruzbayeva
Small and medium-sized enterprises (SME) development in the regions of Kazakhstan is characterised by substantial imbalances. The cities of republican significance — Nur-Sultan and Almaty — are leading in terms of SME performance indicators. However, the quantitative development of such enterprises in these cities does not always lead to a corresponding increase in their contribution to output. Meanwhile, literature lacks studies on this relationship and its causal analysis necessary to provide scientific substantiation of the state policy to support SME development in regions. The present article aims to assess the contribution of SMEs to the output of the cities of republican significance and find solutions to the problems hindering business development. It is hypothesised that there is a weak linear correlation between the number of operating SMEs and output in Nur-Sultan and Almaty. The study utilised the Pearson correlation method, comparative and causal analysis. The presence of a positive correlation between the number of operating SMEs and the production output in the studied regions was confirmed, although, according to the correlation coefficient value, this relationship is weak. The suboptimal structure of the SME sector, as well as the low labour productivity in small enterprises are the key reasons for the weak correlation. Recommendations to stimulate the activities of SMEs were formulated based on the analysis of hindering factors (including inefficient government support). It is concluded that the reduction of the SME sector due to the COVID-19 pandemic in some way positively affected the market, since ineffectively functioning entities were eliminated. Thus, the state should focus on the targeted support and directly stimulate strong players capable of self-renewal. The research results can be useful to the state and local authorities to create measures to support SMEs and regional business regulation policy.
{"title":"Assessment of the Contribution of Small and Medium-Sized Enterprises to the Output of the Cities of Republican Significance in Kazakhstan","authors":"N. Uruzbayeva","doi":"10.17059/ekon.reg.2022-3-17","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-3-17","url":null,"abstract":"Small and medium-sized enterprises (SME) development in the regions of Kazakhstan is characterised by substantial imbalances. The cities of republican significance — Nur-Sultan and Almaty — are leading in terms of SME performance indicators. However, the quantitative development of such enterprises in these cities does not always lead to a corresponding increase in their contribution to output. Meanwhile, literature lacks studies on this relationship and its causal analysis necessary to provide scientific substantiation of the state policy to support SME development in regions. The present article aims to assess the contribution of SMEs to the output of the cities of republican significance and find solutions to the problems hindering business development. It is hypothesised that there is a weak linear correlation between the number of operating SMEs and output in Nur-Sultan and Almaty. The study utilised the Pearson correlation method, comparative and causal analysis. The presence of a positive correlation between the number of operating SMEs and the production output in the studied regions was confirmed, although, according to the correlation coefficient value, this relationship is weak. The suboptimal structure of the SME sector, as well as the low labour productivity in small enterprises are the key reasons for the weak correlation. Recommendations to stimulate the activities of SMEs were formulated based on the analysis of hindering factors (including inefficient government support). It is concluded that the reduction of the SME sector due to the COVID-19 pandemic in some way positively affected the market, since ineffectively functioning entities were eliminated. Thus, the state should focus on the targeted support and directly stimulate strong players capable of self-renewal. The research results can be useful to the state and local authorities to create measures to support SMEs and regional business regulation policy.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"15 79","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72410319","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 : 2022-01-01DOI: 10.17059/ekon.reg.2022-2-19
Y. Otmakhova, D. Devyatkin, I. Tikhomirov
Implementation of a new technological platform in Russia requires providing promising areas of professional qualification with human resources. Post-pandemic structural economic transformation has accelerated changes in the labour market and highlighted the need to develop new approaches and forecasting methods with the priorities of regional technological development. The study presents a methodology to reveal the regional demand for staffing based on the analysis of the factors affecting staff demands using structured and unstructured datasets. The study is focused on forecasting the region’s needs for human resources based on data mining and patent landscapes. That forecasting should consider the economic focus of a region as well as its location, investment and R&D development programme, labour market specificity. The advantage of the proposed methodology is obtaining reasonable estimates of the region’s needs for human resources with data mining and patent landscaping methods in conditions of limited official statistical data. Our database includes more than 25 million records: full-text collections of Russian and foreign patents, research papers, statistical indicators, etc. As a result, we identified promising training areas attractive for qualified personnel in the Vologda region corresponding with the priorities of regional technological development. The future development of this research is the improvement of the methodology for quantitative assessment of the regional need for professionals in particular industries. The obtained results can be useful to government bodies and research centres for the development of regional strategies.
{"title":"Methods for Evaluation of the Region’s Needs for Human Resources based on Statistics and Patent Landscapes","authors":"Y. Otmakhova, D. Devyatkin, I. Tikhomirov","doi":"10.17059/ekon.reg.2022-2-19","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-19","url":null,"abstract":"Implementation of a new technological platform in Russia requires providing promising areas of professional qualification with human resources. Post-pandemic structural economic transformation has accelerated changes in the labour market and highlighted the need to develop new approaches and forecasting methods with the priorities of regional technological development. The study presents a methodology to reveal the regional demand for staffing based on the analysis of the factors affecting staff demands using structured and unstructured datasets. The study is focused on forecasting the region’s needs for human resources based on data mining and patent landscapes. That forecasting should consider the economic focus of a region as well as its location, investment and R&D development programme, labour market specificity. The advantage of the proposed methodology is obtaining reasonable estimates of the region’s needs for human resources with data mining and patent landscaping methods in conditions of limited official statistical data. Our database includes more than 25 million records: full-text collections of Russian and foreign patents, research papers, statistical indicators, etc. As a result, we identified promising training areas attractive for qualified personnel in the Vologda region corresponding with the priorities of regional technological development. The future development of this research is the improvement of the methodology for quantitative assessment of the regional need for professionals in particular industries. The obtained results can be useful to government bodies and research centres for the development of regional strategies.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"12 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74409070","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 : 2022-01-01DOI: 10.17059/ekon.reg.2022-3-13
N. Matushkina, S. Kotlyarova, Y. Myslyakova
While the problem of digital transformation of the economy requires digital maturity of com-panies, the level, readiness and capabilities of individual industries, sectors and enterprises for such a transformation differ. The events of 2020 and emerging social and economic restrictions have increased the relevance of digital transformation, leading to the transition to new services, platforms, business mod-els, as well as to the development of digital systems. We believe that the regional potential for acceler-ated digitalisation is not fully realised in the current and projected periods. The study aims to substantiate and develop a new approach to assessing the readiness of regional transport systems for digital transfor-mation and identifying regions in which the potential of digital development is not fully exploited. Several approaches were used in the research, such as the index method, statistical methods (including standard deviation), the principal component method for selecting and evaluating indicators to create a composite index, etc. The study utilised data from the Federal State Statistics Service and its territorial departments, the Ministry of Digital Development of the Russian Federation, the Unified Interdepartmental Statistical Information System (EMISS), departmental statistics (JSC Russian Railways, the Federal Air Transport Agency (Rosaviatsia), Federal Road Transport Agency (Rosavtodor), etc.) for 2020. In particular, the proposed methodological approach was tested in the industrially developed regions of the Russian Federation. At the first stage of the assessment, industrialised regions were divided into 5 groups according to the read-iness of transport systems for digital transformation (extremely low, low, moderate, high, extremely high). The group with the lowest values of indicators included Vologda, Volgograd, and Irkutsk oblasts. A low level of readiness was recorded in Novgorod, Kaluga and Omsk oblasts and Krasnoyarsk krai. The largest group of regions with a moderate readiness index included seven regions: Vladimir, Yaroslavl, Leningrad, Rostov, Samara oblasts, Perm krai and the Republic of Bashkortostan. Lipetsk, Murmansk and Chelyabinsk oblasts are characterised by high readiness, while Nizhny Novgorod, Sverdlovsk and Moscow oblasts have an ex-tremely high level of readiness. At the second stage, the regions were distributed according to the devia-tion of the level of digitalisation from the level of readiness of the transport system for digital transforma-tion. As a result, the study revealed the potential of digital development of transport systems in industri-alised regions. The obtained findings can be used by state and local authorities to establish directions for national, regional and municipal policies to accelerate the digital transformation of the transport system and improve the efficiency of industry regulation.
{"title":"Assessment of the Readiness of Regional Transport Systems for Digital Transformation","authors":"N. Matushkina, S. Kotlyarova, Y. Myslyakova","doi":"10.17059/ekon.reg.2022-3-13","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-3-13","url":null,"abstract":"While the problem of digital transformation of the economy requires digital maturity of com-panies, the level, readiness and capabilities of individual industries, sectors and enterprises for such a transformation differ. The events of 2020 and emerging social and economic restrictions have increased the relevance of digital transformation, leading to the transition to new services, platforms, business mod-els, as well as to the development of digital systems. We believe that the regional potential for acceler-ated digitalisation is not fully realised in the current and projected periods. The study aims to substantiate and develop a new approach to assessing the readiness of regional transport systems for digital transfor-mation and identifying regions in which the potential of digital development is not fully exploited. Several approaches were used in the research, such as the index method, statistical methods (including standard deviation), the principal component method for selecting and evaluating indicators to create a composite index, etc. The study utilised data from the Federal State Statistics Service and its territorial departments, the Ministry of Digital Development of the Russian Federation, the Unified Interdepartmental Statistical Information System (EMISS), departmental statistics (JSC Russian Railways, the Federal Air Transport Agency (Rosaviatsia), Federal Road Transport Agency (Rosavtodor), etc.) for 2020. In particular, the proposed methodological approach was tested in the industrially developed regions of the Russian Federation. At the first stage of the assessment, industrialised regions were divided into 5 groups according to the read-iness of transport systems for digital transformation (extremely low, low, moderate, high, extremely high). The group with the lowest values of indicators included Vologda, Volgograd, and Irkutsk oblasts. A low level of readiness was recorded in Novgorod, Kaluga and Omsk oblasts and Krasnoyarsk krai. The largest group of regions with a moderate readiness index included seven regions: Vladimir, Yaroslavl, Leningrad, Rostov, Samara oblasts, Perm krai and the Republic of Bashkortostan. Lipetsk, Murmansk and Chelyabinsk oblasts are characterised by high readiness, while Nizhny Novgorod, Sverdlovsk and Moscow oblasts have an ex-tremely high level of readiness. At the second stage, the regions were distributed according to the devia-tion of the level of digitalisation from the level of readiness of the transport system for digital transforma-tion. As a result, the study revealed the potential of digital development of transport systems in industri-alised regions. The obtained findings can be used by state and local authorities to establish directions for national, regional and municipal policies to accelerate the digital transformation of the transport system and improve the efficiency of industry regulation.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"121 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76692818","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 : 2022-01-01DOI: 10.17059/ekon.reg.2022-4-11
O. Shubat, A. Bagirova, Dong Yan
Various social institutions may be involved in the implementation of the state’s pro-natalist policy. Family-friendly corporate policies, common in many countries, are still quite rare in Russia. At the same time, many socio-economic indicators significantly differ across Russian regions. The study aims to identify regional development models of the Russian corporate sector and determine those models that have the highest potential for dissemination of family-friendly corporate policies aimed at increasing the birth rate of the population in these regions. It is hypothesised that such Russian regions can be identified based on a multidimensional classification of socio-economic indicators. The hierarchical cluster analysis was used to model the Russian economic space. Then, the clusters were further grouped according to additional variables. The article analysed official regional statistics characterising the development of the corporate sector. Five clusters of Russian regions were identified. It is proved that corporate family-friendly policies can be disseminated in two regions in particular. Specific demographic (in particular, low birth rate and growth potential) and economic (high innovative activity, small number of loss-making enterprises, the highest demographic indicators among organisations and the average level of priveate consumption) conditions are observed in these clusters. It is concluded that in the corporate sector of these Russian regions, family-friendly policy may gain popularity among staff. This approach, accessible to enterprises, can act as an effective tool of demographic policy. Further research should focus on the analysis of cases of Russian enterprises implementing family-friendly policies, identification of benchmarks, assessment of the possibilities of scaling such experience and forecasting its demographic results.
{"title":"Corporate Family-Friendly Policies: The Possibility of Implementation in Russian Regions","authors":"O. Shubat, A. Bagirova, Dong Yan","doi":"10.17059/ekon.reg.2022-4-11","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-4-11","url":null,"abstract":"Various social institutions may be involved in the implementation of the state’s pro-natalist policy. Family-friendly corporate policies, common in many countries, are still quite rare in Russia. At the same time, many socio-economic indicators significantly differ across Russian regions. The study aims to identify regional development models of the Russian corporate sector and determine those models that have the highest potential for dissemination of family-friendly corporate policies aimed at increasing the birth rate of the population in these regions. It is hypothesised that such Russian regions can be identified based on a multidimensional classification of socio-economic indicators. The hierarchical cluster analysis was used to model the Russian economic space. Then, the clusters were further grouped according to additional variables. The article analysed official regional statistics characterising the development of the corporate sector. Five clusters of Russian regions were identified. It is proved that corporate family-friendly policies can be disseminated in two regions in particular. Specific demographic (in particular, low birth rate and growth potential) and economic (high innovative activity, small number of loss-making enterprises, the highest demographic indicators among organisations and the average level of priveate consumption) conditions are observed in these clusters. It is concluded that in the corporate sector of these Russian regions, family-friendly policy may gain popularity among staff. This approach, accessible to enterprises, can act as an effective tool of demographic policy. Further research should focus on the analysis of cases of Russian enterprises implementing family-friendly policies, identification of benchmarks, assessment of the possibilities of scaling such experience and forecasting its demographic results.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"48 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82603831","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 : 2022-01-01DOI: 10.17059/ekon.reg.2022-2-14
Łukasz Brzezicki, P. Pietrzak, M. Cieciora
The reform of the Polish education system (both lower and higher education) that was carried out in recent years has shown the need to improve the efficiency of schools. Therefore, it is reasonable to analyse and evaluate the efficiency of educational centres before implementing reforms. Educational units influence the development of human capital, which should translate into an increase in the wealth of a given region. To our knowledge, there is a lack of research on the technical efficiency of the primary, secondary and tertiary education systems in particular Polish voivodeships. Therefore, the aim of this paper was to present the results of studies on the efficiency of the three levels of the Polish education sector in 2016. The non-radial Slack-Based Directional Distance Function (SBDDF) model, which belongs to the nonparametric Data Envelopment Analysis (DEA) method, was used to test the efficiency. The number of teachers employed in particular voivodeships, as well as the number of schools and universities were assumed as inputs. The number of pupils and students was assumed as outputs. We hypothesise that there is a positive correlation between the efficiency of the education system and the labour market economic indicators in the province. The hypothesis was verified positively as the findings showed that the higher the education system efficiency indicator in a given voivodeship, the greater the number of the SME sector companies per 10,000 inhabitants, the higher the gross Domestic Product (GDP) per capita and the lower the percentage of the unemployed in the region. The study results may be of use to various groups of stakeholders, in particular, employees of ministries responsible for the functioning of primary, secondary and tertiary education. The limitations of the study concern the selection of variables adopted on the input and output side. Moreover, the conducted analysis is static (in one year). Therefore, there is a need to continue research using a dynamic approach.
{"title":"Efficiency of the Education System (Primary, Secondary and Tertiary) in Particular Voivodeships of Poland","authors":"Łukasz Brzezicki, P. Pietrzak, M. Cieciora","doi":"10.17059/ekon.reg.2022-2-14","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-14","url":null,"abstract":"The reform of the Polish education system (both lower and higher education) that was carried out in recent years has shown the need to improve the efficiency of schools. Therefore, it is reasonable to analyse and evaluate the efficiency of educational centres before implementing reforms. Educational units influence the development of human capital, which should translate into an increase in the wealth of a given region. To our knowledge, there is a lack of research on the technical efficiency of the primary, secondary and tertiary education systems in particular Polish voivodeships. Therefore, the aim of this paper was to present the results of studies on the efficiency of the three levels of the Polish education sector in 2016. The non-radial Slack-Based Directional Distance Function (SBDDF) model, which belongs to the nonparametric Data Envelopment Analysis (DEA) method, was used to test the efficiency. The number of teachers employed in particular voivodeships, as well as the number of schools and universities were assumed as inputs. The number of pupils and students was assumed as outputs. We hypothesise that there is a positive correlation between the efficiency of the education system and the labour market economic indicators in the province. The hypothesis was verified positively as the findings showed that the higher the education system efficiency indicator in a given voivodeship, the greater the number of the SME sector companies per 10,000 inhabitants, the higher the gross Domestic Product (GDP) per capita and the lower the percentage of the unemployed in the region. The study results may be of use to various groups of stakeholders, in particular, employees of ministries responsible for the functioning of primary, secondary and tertiary education. The limitations of the study concern the selection of variables adopted on the input and output side. Moreover, the conducted analysis is static (in one year). Therefore, there is a need to continue research using a dynamic approach.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"27 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75715887","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 : 2022-01-01DOI: 10.17059/ekon.reg.2022-3-22
V. Yakimova, S. Khmura
Due to the sanctions imposed by foreign states, modern Russian economy greatly depends on the economy of the Far East characterised by the formation and stimulation of investment in the territories of advanced development (TADs). However, at the present stage, economic growth measures are not working effectively in all Far Eastern regions. The article presents the results of an analysis of factors shaping the investment attractiveness of the territories of advanced development established in the Russian Far East. The study examines regional socio-economic indicators, accounting statements of residents and non-financial information on business reputation of enterprises. Since territories of advanced development are considered economic growth points of the Russian Far East, the research aims to identify relevant patterns and rank TADs according to the importance of the factors of investment potential and risks. To this end, the methods of econometric analysis and modelling were applied. The developed methodology for assessing investment attractiveness includes indicators adapted for TADs, component factor analysis and modelling. Based on the analysis, factor models were constructed and the factors were grouped according to their impact on the investment potential and risks of the territories of advanced development of the Far Eastern Federal District. The obtained results indicate that the initial development stage of economic growth points is characterised by various financial and social problems, insufficient investment and uneven distribution of investments to ensure advanced economic growth. The established factor models explain the importance of creating a favourable investment environment, attracting investments for the construction of infrastructure, increasing the efficiency of resource potential in the Far Eastern regions. Factors of the internal business environment of residents — financial condition and the initial stage of enterprise operation from the moment of state registration — are seen as constraining. Priority ranking of factors revealed key directions for improving the mechanism for attracting and distributing investments in the regions. Additionally, it can help coordinate the work of government bodies, development institutions and entrepreneurship and direct business support measures to important areas of territorial development, reducing the impact of constraining factors and risks.
{"title":"Determinants of Investment Attraction to Economic Growth Points of the Russian Far East","authors":"V. Yakimova, S. Khmura","doi":"10.17059/ekon.reg.2022-3-22","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-3-22","url":null,"abstract":"Due to the sanctions imposed by foreign states, modern Russian economy greatly depends on the economy of the Far East characterised by the formation and stimulation of investment in the territories of advanced development (TADs). However, at the present stage, economic growth measures are not working effectively in all Far Eastern regions. The article presents the results of an analysis of factors shaping the investment attractiveness of the territories of advanced development established in the Russian Far East. The study examines regional socio-economic indicators, accounting statements of residents and non-financial information on business reputation of enterprises. Since territories of advanced development are considered economic growth points of the Russian Far East, the research aims to identify relevant patterns and rank TADs according to the importance of the factors of investment potential and risks. To this end, the methods of econometric analysis and modelling were applied. The developed methodology for assessing investment attractiveness includes indicators adapted for TADs, component factor analysis and modelling. Based on the analysis, factor models were constructed and the factors were grouped according to their impact on the investment potential and risks of the territories of advanced development of the Far Eastern Federal District. The obtained results indicate that the initial development stage of economic growth points is characterised by various financial and social problems, insufficient investment and uneven distribution of investments to ensure advanced economic growth. The established factor models explain the importance of creating a favourable investment environment, attracting investments for the construction of infrastructure, increasing the efficiency of resource potential in the Far Eastern regions. Factors of the internal business environment of residents — financial condition and the initial stage of enterprise operation from the moment of state registration — are seen as constraining. Priority ranking of factors revealed key directions for improving the mechanism for attracting and distributing investments in the regions. Additionally, it can help coordinate the work of government bodies, development institutions and entrepreneurship and direct business support measures to important areas of territorial development, reducing the impact of constraining factors and risks.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"23 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84522275","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 : 2022-01-01DOI: 10.17059/ekon.reg.2022-2-9
A. Shirov, M. Uzyakov, E. Uzyakova
The existing income gaps significantly limit the regional and economic development. At the same time, the high economic growth potential due to the use of consumer demand necessitates the examination of the intensification of this factor of economic dynamics, including through the resource allocation policy. The article considers the macroeconomic efficiency of the redistribution of primary household incomes at the regional level. Regional distribution of the total income of the population by income quintile groups, as well as the average per capita income were analysed based on the data obtained from the Federal State Statistics Service. The redistribution of primary incomes through the differentiation of tax rates is considered the most important factor in increasing the dynamics of consumer demand (an increment of the personal income tax by 12 percentage points (up to 25 %) for the fifth quintile group is used in the calculations). The study aims to assess the possible impact of such redistribution on the income inequality and economic dynamics of Russia and its regions. The potential for gross regional product (GRP) growth resulting from an increase in social support for the least income groups was estimated using the methods of mathematical analysis, multisectoral and interregional modelling. The calculations show that an increase in consumer spending in 2019 in the economy as a whole could have amounted to +5.2 %; the estimate of the increase in total GRP was +2.7 %. Simultaneously, the ratio of the maximum and minimum regional per capita income decreased from 5 to 4 times, while the ratio of per capita GRP (excluding interregional price differentiation) decreased from 61.8 to 56.7 times (maximum/minimum level). The calculation results can be considered the first assessment of the possibilities of overcoming the limitations of regional development caused by low incomes and their significant differentiation. Future detailed studies should focus on developing comprehensive solutions in the field of economic policy.
{"title":"Redistribution of Primary Household Incomes as a Factor for Reducing Inequality and Accelerating Economic Growth at the Regional Level","authors":"A. Shirov, M. Uzyakov, E. Uzyakova","doi":"10.17059/ekon.reg.2022-2-9","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-9","url":null,"abstract":"The existing income gaps significantly limit the regional and economic development. At the same time, the high economic growth potential due to the use of consumer demand necessitates the examination of the intensification of this factor of economic dynamics, including through the resource allocation policy. The article considers the macroeconomic efficiency of the redistribution of primary household incomes at the regional level. Regional distribution of the total income of the population by income quintile groups, as well as the average per capita income were analysed based on the data obtained from the Federal State Statistics Service. The redistribution of primary incomes through the differentiation of tax rates is considered the most important factor in increasing the dynamics of consumer demand (an increment of the personal income tax by 12 percentage points (up to 25 %) for the fifth quintile group is used in the calculations). The study aims to assess the possible impact of such redistribution on the income inequality and economic dynamics of Russia and its regions. The potential for gross regional product (GRP) growth resulting from an increase in social support for the least income groups was estimated using the methods of mathematical analysis, multisectoral and interregional modelling. The calculations show that an increase in consumer spending in 2019 in the economy as a whole could have amounted to +5.2 %; the estimate of the increase in total GRP was +2.7 %. Simultaneously, the ratio of the maximum and minimum regional per capita income decreased from 5 to 4 times, while the ratio of per capita GRP (excluding interregional price differentiation) decreased from 61.8 to 56.7 times (maximum/minimum level). The calculation results can be considered the first assessment of the possibilities of overcoming the limitations of regional development caused by low incomes and their significant differentiation. Future detailed studies should focus on developing comprehensive solutions in the field of economic policy.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"34 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85004712","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 : 2022-01-01DOI: 10.17059/ekon.reg.2022-3-12
A. Anufrieva, N. Devyatova
In recent decades, the issues of rational use of natural resources and sustainable development of ecosystems (where forests are an important element) became acute. Forest management requires new approaches in order to create a forestry development strategy in accordance with the principles of green economy, including at the regional level. The article presents conceptual provisions of strategic forest management of regions from the perspective of sustainable development. When planning the socio-economic development of a region, it is necessary to consider the revenue and resource potential of its forest management system and strive to achieve a balance between forest exploitation and reforestation. In this connection, the key parameters for choosing strategic alternatives are the intensity of forest use (forest exploitation) and reforestation. After recording the values of indicators for specific forest territorial units, we constructed a positioning map as the basis for strategic development maps. The proposed approach was tested using data on regional forestry retrieved from the Ministry of Forestry of the Irkutsk Region and Ministry of Natural Resources and Environment of the Irkutsk region. Over the past decades, an increase in forest resource extraction in the Irkutsk region was noted. Regional forest development is characterised by excessive intensity and irregularity of timber harvest, as well as by ineffective reproduction and low productivity of forests, aggravated by large-scale fires. The positioning map of regional forestry in the Irkutsk region clearly demonstrates that the forestry development strategy based on the principles of green economy cannot be implemented in more than half of forest territorial units due to their strategic positioning.
{"title":"Strategic Planning of Regional Forest Development Based on the Principles of Green Economy","authors":"A. Anufrieva, N. Devyatova","doi":"10.17059/ekon.reg.2022-3-12","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-3-12","url":null,"abstract":"In recent decades, the issues of rational use of natural resources and sustainable development of ecosystems (where forests are an important element) became acute. Forest management requires new approaches in order to create a forestry development strategy in accordance with the principles of green economy, including at the regional level. The article presents conceptual provisions of strategic forest management of regions from the perspective of sustainable development. When planning the socio-economic development of a region, it is necessary to consider the revenue and resource potential of its forest management system and strive to achieve a balance between forest exploitation and reforestation. In this connection, the key parameters for choosing strategic alternatives are the intensity of forest use (forest exploitation) and reforestation. After recording the values of indicators for specific forest territorial units, we constructed a positioning map as the basis for strategic development maps. The proposed approach was tested using data on regional forestry retrieved from the Ministry of Forestry of the Irkutsk Region and Ministry of Natural Resources and Environment of the Irkutsk region. Over the past decades, an increase in forest resource extraction in the Irkutsk region was noted. Regional forest development is characterised by excessive intensity and irregularity of timber harvest, as well as by ineffective reproduction and low productivity of forests, aggravated by large-scale fires. The positioning map of regional forestry in the Irkutsk region clearly demonstrates that the forestry development strategy based on the principles of green economy cannot be implemented in more than half of forest territorial units due to their strategic positioning.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85065076","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 : 2022-01-01DOI: 10.17059/ekon.reg.2022-3-21
O. Gorbova, S. Perfiliev
Widely introduced competitive mechanisms (including in the financial services sector) require an assessment and measurement of the level of competition. Nowadays, the methods applied in practice are usually based on the calculation of indicators characterising market concentration. Simultaneously, little attention is paid to how consumers of services (represented by the population and business) assess the development of competition. Thus, the article presents a methodology for assessing the level of competition, which considers, among other things, the opinion of consumers. The methodology calculates a cumulative point score according to two groups of factors. The first group includes the so-called objective factors of competition development (independent of subjective opinion of consumers), while the other group presents subjective consumer assessments. The initial data for calculating the subjective component was gathered from population and business surveys. The assessment of objective factors is based on the materials of the Bank of Russia, as well as information published in open sources (financial reports of credit institutions, statistical databases of the Federal State Statistics Service, etc.). The proposed methodology was tested on various of regional financial markets: banking services, services of microfinance organisations, insurance. According to the obtained estimates, the examined markets can fall into one of three categories, namely, a market with developed competition, a market with insufficiently developed competition or a market with undeveloped competition. The calculation results show that the insurance market can be considered a market with developed competition in half of the analysed regions; the rest belongs to the category of markets with insufficiently developed competition. Based on the findings, it is possible to conduct a comparative analysis of the development of competition for individual markets and regions in general, as well as to examine relevant factors. In addition, objective competition and the development of competition noted by consumers of services can be compared.
{"title":"Assessment of the Development of Competition in Regional Financial Services Markets","authors":"O. Gorbova, S. Perfiliev","doi":"10.17059/ekon.reg.2022-3-21","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-3-21","url":null,"abstract":"Widely introduced competitive mechanisms (including in the financial services sector) require an assessment and measurement of the level of competition. Nowadays, the methods applied in practice are usually based on the calculation of indicators characterising market concentration. Simultaneously, little attention is paid to how consumers of services (represented by the population and business) assess the development of competition. Thus, the article presents a methodology for assessing the level of competition, which considers, among other things, the opinion of consumers. The methodology calculates a cumulative point score according to two groups of factors. The first group includes the so-called objective factors of competition development (independent of subjective opinion of consumers), while the other group presents subjective consumer assessments. The initial data for calculating the subjective component was gathered from population and business surveys. The assessment of objective factors is based on the materials of the Bank of Russia, as well as information published in open sources (financial reports of credit institutions, statistical databases of the Federal State Statistics Service, etc.). The proposed methodology was tested on various of regional financial markets: banking services, services of microfinance organisations, insurance. According to the obtained estimates, the examined markets can fall into one of three categories, namely, a market with developed competition, a market with insufficiently developed competition or a market with undeveloped competition. The calculation results show that the insurance market can be considered a market with developed competition in half of the analysed regions; the rest belongs to the category of markets with insufficiently developed competition. Based on the findings, it is possible to conduct a comparative analysis of the development of competition for individual markets and regions in general, as well as to examine relevant factors. In addition, objective competition and the development of competition noted by consumers of services can be compared.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"12 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85229592","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：