Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-3
I. D. Turgel, I. S. Antonova
Nowadays, creative industries are becoming a driving force for urban economic development, inspiring the emergence of a new conceptual framework in regional economy, which includes the notion of «creative reindustrialisation of cities». Traditionally, scientific review is used to present theoretical and methodological foundations of a new subject area. However, individual use of such tools as author search or information systems analysis does not allow for a comprehensive scientific review on the emerging topic. The study aims to substantiate the creation of a new subject area, focused on the creative reindustrialisation of the second-tier cities in the digital transformation era, and to identify theoretical and practical trends in its development. To this end, the following steps were performed: identifying specific elements and establishing a general model of the subject area; comparing model and existing elements; modelling the new subject area using the developed logical scheme; analysing the new subject area and comparing it with existing ones. Since the examined subject area is not presented in the SciVal system, this paper developed the logical scheme for creating a new subject area through keywords, and proposed four models. After the models were tested using the SciVal tools, the subject area of regional economics called Creindustrialisation was established. It identified a pool of the most relevant publications on regional economy, confirming the importance of the creative reindustrialisation of cities, including second-tier cities, and assessing the impact of the digital context on cultural transformations. It was revealed that digitalisation of creative industries leads to the convergence of social classes. However, mindless replication of creative practices at the local level reduces their efficiency, hindering the widespread of the creative reindustrialisation tools, requiring further research.
{"title":"Creative Reindustrialisation of the Second-Tier Cities in the Digital Transformation Era: A Study Using SciVal Tools","authors":"I. D. Turgel, I. S. Antonova","doi":"10.17059/ekon.reg.2023-3-3","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-3","url":null,"abstract":"Nowadays, creative industries are becoming a driving force for urban economic development, inspiring the emergence of a new conceptual framework in regional economy, which includes the notion of «creative reindustrialisation of cities». Traditionally, scientific review is used to present theoretical and methodological foundations of a new subject area. However, individual use of such tools as author search or information systems analysis does not allow for a comprehensive scientific review on the emerging topic. The study aims to substantiate the creation of a new subject area, focused on the creative reindustrialisation of the second-tier cities in the digital transformation era, and to identify theoretical and practical trends in its development. To this end, the following steps were performed: identifying specific elements and establishing a general model of the subject area; comparing model and existing elements; modelling the new subject area using the developed logical scheme; analysing the new subject area and comparing it with existing ones. Since the examined subject area is not presented in the SciVal system, this paper developed the logical scheme for creating a new subject area through keywords, and proposed four models. After the models were tested using the SciVal tools, the subject area of regional economics called Creindustrialisation was established. It identified a pool of the most relevant publications on regional economy, confirming the importance of the creative reindustrialisation of cities, including second-tier cities, and assessing the impact of the digital context on cultural transformations. It was revealed that digitalisation of creative industries leads to the convergence of social classes. However, mindless replication of creative practices at the local level reduces their efficiency, hindering the widespread of the creative reindustrialisation tools, requiring further research.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135799186","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 : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-14
T. K. Rostovskaya, O. A. Zolotareva
Numerous Russian demographers and statisticians have considered the issues of predicting fertility. In recent years, the Federal State Statistics Service (Rosstat) has been publishing demographic forecasts, including data on the total fertility rate. However, despite extensive research, insufficient attention is paid to the analysis of the possibilities of using adaptive forecasting methods to assess the future dynamics of fertility. In this regard, the present study aims to build fertility prediction models for regions based on adaptive methods. The Republic of Tuva was chosen for testing as one of the unique constituent entities of the Russian Federation. During the implementation of the Concept of demographic policy, in particular maternity capital, the total fertility rate in Tuva did not fall below the replacement level fertility (2.14). Adaptive forecasting methods, such as ARIMA, Holt’s and Brown’s models, were utilised. In order to select the best prediction model, the study conducted a formal-logical analysis with a comparison of the main characteristics of the forecast accuracy and quality. The obtained results revealed promising development scenarios: moderately optimistic and regressive. The moderately optimistic scenario scientifically substantiated the feasibility of achieving fertility growth in the Republic of Tuva by 2025, focusing on the higher values of the average total fertility rate — 3.10 children per woman of reproductive age — that meets the goals of the demographic policy.
{"title":"Fertility Prediction Models: Example of the Republic of Tuva","authors":"T. K. Rostovskaya, O. A. Zolotareva","doi":"10.17059/ekon.reg.2023-3-14","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-14","url":null,"abstract":"Numerous Russian demographers and statisticians have considered the issues of predicting fertility. In recent years, the Federal State Statistics Service (Rosstat) has been publishing demographic forecasts, including data on the total fertility rate. However, despite extensive research, insufficient attention is paid to the analysis of the possibilities of using adaptive forecasting methods to assess the future dynamics of fertility. In this regard, the present study aims to build fertility prediction models for regions based on adaptive methods. The Republic of Tuva was chosen for testing as one of the unique constituent entities of the Russian Federation. During the implementation of the Concept of demographic policy, in particular maternity capital, the total fertility rate in Tuva did not fall below the replacement level fertility (2.14). Adaptive forecasting methods, such as ARIMA, Holt’s and Brown’s models, were utilised. In order to select the best prediction model, the study conducted a formal-logical analysis with a comparison of the main characteristics of the forecast accuracy and quality. The obtained results revealed promising development scenarios: moderately optimistic and regressive. The moderately optimistic scenario scientifically substantiated the feasibility of achieving fertility growth in the Republic of Tuva by 2025, focusing on the higher values of the average total fertility rate — 3.10 children per woman of reproductive age — that meets the goals of the demographic policy.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135800854","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 : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-6
V. G. Zakshevskii, I. N. Merenkova, I. I. Novikova, E. A. Parkhomov
Despite the extensive literature on rural issues, the relationship between sustainable development of rural areas and spatial localisation (bound to local conditions with a focus on own sources of development) remains debatable. The paper aims to determine the impact of territorial differences and existing restrictions on the sustainability of social, ecological and economic processes in rural areas. According to the hypothesis, a system of indicators can be developed to comprehensively assess sustainable rural development considering the localisation component, as well as to propose relevant management tools. The research methodology is based on the discourse, fundamental approaches, criteria, and the system of indicators. Methods of comparative analysis, ranking and clustering were utilised. The developed approach to the comprehensive assessment of sustainable rural development, tested in Belgorod oblast, includes three steps. First, indicators of sustainable development and local specificity of rural municipalities were identified. Second, rural areas were classified according to the sustainable development coefficient and degree of localisation. Third, a differentiated approach to the management of sustainable rural development was presented. 4 types of municipalities were identified: low localised with a high level of sustainable development (3 districts); moderately and highly localised with high and average levels of sustainable development (8 districts); low localised with an average level of sustainable development (2 districts); highly localised with average and low levels of sustainable development (8 districts). This result indicates the complex spatial structure of the region. Measures for ensuring the sustainable rural development in each type of municipality were substantiated. The findings can be considered by the government for creating socio-economic strategies and programmes to develop rural settlements, as well as for studying the inter-municipal polarisation of rural areas.
{"title":"Sustainable Rural Development: A New Perspective on the Assessment in the Context of Spatial Localisation","authors":"V. G. Zakshevskii, I. N. Merenkova, I. I. Novikova, E. A. Parkhomov","doi":"10.17059/ekon.reg.2023-3-6","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-6","url":null,"abstract":"Despite the extensive literature on rural issues, the relationship between sustainable development of rural areas and spatial localisation (bound to local conditions with a focus on own sources of development) remains debatable. The paper aims to determine the impact of territorial differences and existing restrictions on the sustainability of social, ecological and economic processes in rural areas. According to the hypothesis, a system of indicators can be developed to comprehensively assess sustainable rural development considering the localisation component, as well as to propose relevant management tools. The research methodology is based on the discourse, fundamental approaches, criteria, and the system of indicators. Methods of comparative analysis, ranking and clustering were utilised. The developed approach to the comprehensive assessment of sustainable rural development, tested in Belgorod oblast, includes three steps. First, indicators of sustainable development and local specificity of rural municipalities were identified. Second, rural areas were classified according to the sustainable development coefficient and degree of localisation. Third, a differentiated approach to the management of sustainable rural development was presented. 4 types of municipalities were identified: low localised with a high level of sustainable development (3 districts); moderately and highly localised with high and average levels of sustainable development (8 districts); low localised with an average level of sustainable development (2 districts); highly localised with average and low levels of sustainable development (8 districts). This result indicates the complex spatial structure of the region. Measures for ensuring the sustainable rural development in each type of municipality were substantiated. The findings can be considered by the government for creating socio-economic strategies and programmes to develop rural settlements, as well as for studying the inter-municipal polarisation of rural areas.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135798990","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 : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-22
H. Yanıkkaya, K. Altay
There are significant differences between governments in the context of the objectives of incentive policies. However, they are generally focused on macroeconomic purposes such as eliminating regional inequalities and increasing investment level, employment, industrialisation and therefore raising economic growth. In Turkey, The New Investment Incentive System, which has been implemented since 2012, essentially aimed to mitigate interregional inequalities. This study investigates the impact of investment incentives on provincial per capita growth of 81 provinces for the years 2004-2017. Our data are also available for capital types and sectoral levels. The dynamic panel data estimates show that while the impact of the number of incentive certificates on provincial growth is significantly positive, there is no effect of fixed investment and employment on provincial growth. Moreover, given the significantly positive estimated coefficients on all three measures of investment incentives for the energy and manufacturing sectors, we conclude that incentives raise provincial growth for these two sectors. However, investment incentives in services, mining and agriculture sectors have no impact on regional growth. Results of the analysis of investment incentives by investor type imply that while investment incentives provided to domestic firms have no effect on growth, incentives for firms owned by foreigners have positive effects. Our study thus makes important contributions to the literature by considering both province-level incentive measures and five main sectors, namely energy, manufacturing, services, mining and agriculture in the sectoral analysis.
{"title":"An Empirical Analysis of the Impacts of Investment Incentives on Provincial Economic Growth in Turkey","authors":"H. Yanıkkaya, K. Altay","doi":"10.17059/ekon.reg.2023-3-22","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-22","url":null,"abstract":"There are significant differences between governments in the context of the objectives of incentive policies. However, they are generally focused on macroeconomic purposes such as eliminating regional inequalities and increasing investment level, employment, industrialisation and therefore raising economic growth. In Turkey, The New Investment Incentive System, which has been implemented since 2012, essentially aimed to mitigate interregional inequalities. This study investigates the impact of investment incentives on provincial per capita growth of 81 provinces for the years 2004-2017. Our data are also available for capital types and sectoral levels. The dynamic panel data estimates show that while the impact of the number of incentive certificates on provincial growth is significantly positive, there is no effect of fixed investment and employment on provincial growth. Moreover, given the significantly positive estimated coefficients on all three measures of investment incentives for the energy and manufacturing sectors, we conclude that incentives raise provincial growth for these two sectors. However, investment incentives in services, mining and agriculture sectors have no impact on regional growth. Results of the analysis of investment incentives by investor type imply that while investment incentives provided to domestic firms have no effect on growth, incentives for firms owned by foreigners have positive effects. Our study thus makes important contributions to the literature by considering both province-level incentive measures and five main sectors, namely energy, manufacturing, services, mining and agriculture in the sectoral analysis.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135801835","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 : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-7
T. V. Mirolubova, M. V. Radionova
The modern world economy is transforming into the digital economy. Digital transformation can be a driver of socio-economic and technological development of various states and regions. As shown by the experience of developed countries, digital transformation contributes to the creation of new business opportunities, emergence of new markets and niches, and consequently affects regional socio-economic development. However, this process is uneven across countries, leading to significant differences between regions. Additionally, the connection between digital transformation and regional sustainable development should be considered. The paper presents the authors’ perspective on digital transformation and analyses the impact of digital transformation on the socio-economic development of Russian regions in terms of sustainable development priorities. The research aims to develop and verify a multilevel multiple regression model, which illustrates regional digital transformation through integral indicators and describes its impact on regional sustainable development. In particular, the study examined the integral indicator of digital transformation and integral indicator of sustainable development, revealing a correlation between them for Russian regions. The regions were clustered according these indicators. Panel data econometric models for different clusters showed that such factors as digital labour and digital capital greatly influence socio-economic indicators of Russian regions. The direct correlation between the share of manufacturing in gross regional product and regional digital transformation was established. The calculation of integral indicators for all Russian regions identified significant spatial heterogeneity of Russian regions in terms of their sustainable development and digital transformation. At the same time, an increase in the share of manufacturing share in gross regional product causes a decrease in regional sustainable development.
{"title":"Digital Transformation and its Impact on the Socio-Economic Development of Russian Regions","authors":"T. V. Mirolubova, M. V. Radionova","doi":"10.17059/ekon.reg.2023-3-7","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-7","url":null,"abstract":"The modern world economy is transforming into the digital economy. Digital transformation can be a driver of socio-economic and technological development of various states and regions. As shown by the experience of developed countries, digital transformation contributes to the creation of new business opportunities, emergence of new markets and niches, and consequently affects regional socio-economic development. However, this process is uneven across countries, leading to significant differences between regions. Additionally, the connection between digital transformation and regional sustainable development should be considered. The paper presents the authors’ perspective on digital transformation and analyses the impact of digital transformation on the socio-economic development of Russian regions in terms of sustainable development priorities. The research aims to develop and verify a multilevel multiple regression model, which illustrates regional digital transformation through integral indicators and describes its impact on regional sustainable development. In particular, the study examined the integral indicator of digital transformation and integral indicator of sustainable development, revealing a correlation between them for Russian regions. The regions were clustered according these indicators. Panel data econometric models for different clusters showed that such factors as digital labour and digital capital greatly influence socio-economic indicators of Russian regions. The direct correlation between the share of manufacturing in gross regional product and regional digital transformation was established. The calculation of integral indicators for all Russian regions identified significant spatial heterogeneity of Russian regions in terms of their sustainable development and digital transformation. At the same time, an increase in the share of manufacturing share in gross regional product causes a decrease in regional sustainable development.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135799193","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 : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-17
L. D. Gitelman, M. V. Kozhevnikov
The energy transition is a global problem affecting environmental and energy security, sustainable economic development, social well-being. However, since its implementation differs in certain regions, it is necessary to develop specific approaches that consider local factors, external threats and risks. The article proposes a conceptual vision of energy transition at the regional level in the context of crisis, economic and logistical changes, and socio-economic, scientific and technical transformations. It is hypothesised that in order to implement the energy transition, a compensation method is required to ensure the equivalence of environmental, economic and technical results. The study analysed expert opinions published in foreign and Russian journals indexed in the SCOPUS, Science Direct, MDPI, WIT Press databases, as well as analytical reports of international energy agencies and consulting firms. The analysis revealed that the most appropriate form of organisation of the regional electric power system is a flexible model combining system and regional circuits and involving power plants with a wide range of generating capacities. The integrated power system and decentralised energy sources are seen as energy transition objects. The study presented an energy transition scheme from the implementation of low-cost energy demand management measures to the reconstruction of coal-fired power plants and construction of renewable energy facilities. An ideal model of the regional electric power system was developed as a strategic guideline in the energy transition implementation. Possible scenarios and stages of the energy transition were discussed. The findings can be applied by government and industry regulators, energy companies, large electricity consumers when planning structural, organisational and market transformations in the regional energy sector under uncertainty.
{"title":"Conceptual Vision of Energy Transition in the Regional Electric Power System in New Realities","authors":"L. D. Gitelman, M. V. Kozhevnikov","doi":"10.17059/ekon.reg.2023-3-17","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-17","url":null,"abstract":"The energy transition is a global problem affecting environmental and energy security, sustainable economic development, social well-being. However, since its implementation differs in certain regions, it is necessary to develop specific approaches that consider local factors, external threats and risks. The article proposes a conceptual vision of energy transition at the regional level in the context of crisis, economic and logistical changes, and socio-economic, scientific and technical transformations. It is hypothesised that in order to implement the energy transition, a compensation method is required to ensure the equivalence of environmental, economic and technical results. The study analysed expert opinions published in foreign and Russian journals indexed in the SCOPUS, Science Direct, MDPI, WIT Press databases, as well as analytical reports of international energy agencies and consulting firms. The analysis revealed that the most appropriate form of organisation of the regional electric power system is a flexible model combining system and regional circuits and involving power plants with a wide range of generating capacities. The integrated power system and decentralised energy sources are seen as energy transition objects. The study presented an energy transition scheme from the implementation of low-cost energy demand management measures to the reconstruction of coal-fired power plants and construction of renewable energy facilities. An ideal model of the regional electric power system was developed as a strategic guideline in the energy transition implementation. Possible scenarios and stages of the energy transition were discussed. The findings can be applied by government and industry regulators, energy companies, large electricity consumers when planning structural, organisational and market transformations in the regional energy sector under uncertainty.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135800851","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 : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-16
A. Dionísio, M. C. Rego, T. Sequeira
The estimation of the level of development of a territory is an issue that has had different approaches and methodologies. If the first attempts were associated with determining the income generated and retained by the territory, the most recent indicators of quality of life or well-being are based on a multidimensional concept, improved by adding other dimensions including several variables. On the other hand, despite the statistical difficulties, analysis of smaller geographic units is closer to reality, allowing researchers to draw relevant and effective final considerations. Focusing on the case of Portugal mainland, an old country with strong and persistent development asymmetries, this work sought to examine the similarities and differences in various dimensions of the concept of quality of life, in the positioning of the chosen territorial units, the municipalities. Then, after collecting recent annual variables at the municipality level, data were processed using multivariate analysis. The construction of clusters revealed affinities between the municipalities. The results obtained show the asymmetries of development and well-being in the national territory, and their disaggregation, both in terms of the multiple dimensions under analysis and in terms of the municipalities. The study offers a greater and deeper understanding of the regional reality and consequently can favour the efficiency of cohesion policies.
{"title":"Quality of Life in Portuguese Municipalities: A Multidimensional Approach","authors":"A. Dionísio, M. C. Rego, T. Sequeira","doi":"10.17059/ekon.reg.2023-3-16","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-16","url":null,"abstract":"The estimation of the level of development of a territory is an issue that has had different approaches and methodologies. If the first attempts were associated with determining the income generated and retained by the territory, the most recent indicators of quality of life or well-being are based on a multidimensional concept, improved by adding other dimensions including several variables. On the other hand, despite the statistical difficulties, analysis of smaller geographic units is closer to reality, allowing researchers to draw relevant and effective final considerations. Focusing on the case of Portugal mainland, an old country with strong and persistent development asymmetries, this work sought to examine the similarities and differences in various dimensions of the concept of quality of life, in the positioning of the chosen territorial units, the municipalities. Then, after collecting recent annual variables at the municipality level, data were processed using multivariate analysis. The construction of clusters revealed affinities between the municipalities. The results obtained show the asymmetries of development and well-being in the national territory, and their disaggregation, both in terms of the multiple dimensions under analysis and in terms of the municipalities. The study offers a greater and deeper understanding of the regional reality and consequently can favour the efficiency of cohesion policies.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135800853","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 : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-20
A. A. Fedyunina, Yu. V. Simachev, I. M. Drapkin
The impact of foreign trade on the Russian economy’s growth remains debatable. In 2014, the economy faced initial sanctions, leading to export restructuring and affecting growth. In 2022, a second unprecedented wave of sanctions necessitated export restructuring and intensified the challenge of sourcing economic growth. This study evaluates the impact of intensive and extensive export margins on Russian regions’ growth from 2015 to 2021 and discusses post-2022 implications. It is hypothesised that new export goods and markets are vital for economic growth in Russian regions. The study shows that both intensive and extensive margins are positively related to the level of development in Russian regions, and developed regions with diversified economic structures had higher values of export margins. The methodology uses panel regression with random and fixed effects. The empirical results show Russian regions’ market share in the products they export and in the countries where they export (i. e. intensive product and geographic margin) is important for the economic growth of Russian regions, while the results for extensive margin are ambiguous. The obtained findings have implications for industrial policy, which should prioritise the development of measures aimed at supporting existing exporting companies in expanding their presence in familiar markets. The task of export diversification should primarily be addressed through working with existing exporters and export products, while the export of innovative products should be viewed as a gradual evolutionary process within the framework of long-term planning.
{"title":"Intensive and Extensive Margins of Export: Determinants of Economic Growth in Russian Regions under Sanctions","authors":"A. A. Fedyunina, Yu. V. Simachev, I. M. Drapkin","doi":"10.17059/ekon.reg.2023-3-20","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-20","url":null,"abstract":"The impact of foreign trade on the Russian economy’s growth remains debatable. In 2014, the economy faced initial sanctions, leading to export restructuring and affecting growth. In 2022, a second unprecedented wave of sanctions necessitated export restructuring and intensified the challenge of sourcing economic growth. This study evaluates the impact of intensive and extensive export margins on Russian regions’ growth from 2015 to 2021 and discusses post-2022 implications. It is hypothesised that new export goods and markets are vital for economic growth in Russian regions. The study shows that both intensive and extensive margins are positively related to the level of development in Russian regions, and developed regions with diversified economic structures had higher values of export margins. The methodology uses panel regression with random and fixed effects. The empirical results show Russian regions’ market share in the products they export and in the countries where they export (i. e. intensive product and geographic margin) is important for the economic growth of Russian regions, while the results for extensive margin are ambiguous. The obtained findings have implications for industrial policy, which should prioritise the development of measures aimed at supporting existing exporting companies in expanding their presence in familiar markets. The task of export diversification should primarily be addressed through working with existing exporters and export products, while the export of innovative products should be viewed as a gradual evolutionary process within the framework of long-term planning.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135801844","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 : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-10
A. A. Kireyeva, A. S. Nurbatsin, M. M. Khalitova
In the current social conditions, the problems of inequality associated with the uneven distribution of income in society is an important research problem. Thus, it is necessary to investigate the level of regional differences in income distribution in developing countries like Kazakhstan. The study aims to assess the influence of income, social expenditures, and inequality in the distribution of education and education costs between different regions of Kazakhstan. Unlike previous scientific papers in this area, this paper uses panel data on the distribution of human capital and income in 17 regions of Kazakhstan. The methodological framework of the research is represented by methods of statistical assessment of economic inequality, such as the indicator of differentiation, reflecting the degree of social and economic inequality. Based on the proposed methodology, we analysed the disparity in the level of education and obtained data on the standard deviations of the distribution of education for the population of the regions of Kazakhstan. According to these data, inequality changes over time and affects the distribution of education and education costs between different areas. Income inequality is slightly higher in Karaganda and East-Kazakhstan regions; other areas have a more equitable income distribution by about 0.05 Gini coefficients. The regression specification shows that large megacities like Shymkent, Almaty, and Astana have a more significant influence, while Mangystau and North-Kazakhstan regions have minor power. The obtained results emphasise the importance ensuring access to education for reducing regional disparities and achieving stability in income distribution.
{"title":"Assessing Inequality of Income Distribution and Education in the Regions of Kazakhstan","authors":"A. A. Kireyeva, A. S. Nurbatsin, M. M. Khalitova","doi":"10.17059/ekon.reg.2023-3-10","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-10","url":null,"abstract":"In the current social conditions, the problems of inequality associated with the uneven distribution of income in society is an important research problem. Thus, it is necessary to investigate the level of regional differences in income distribution in developing countries like Kazakhstan. The study aims to assess the influence of income, social expenditures, and inequality in the distribution of education and education costs between different regions of Kazakhstan. Unlike previous scientific papers in this area, this paper uses panel data on the distribution of human capital and income in 17 regions of Kazakhstan. The methodological framework of the research is represented by methods of statistical assessment of economic inequality, such as the indicator of differentiation, reflecting the degree of social and economic inequality. Based on the proposed methodology, we analysed the disparity in the level of education and obtained data on the standard deviations of the distribution of education for the population of the regions of Kazakhstan. According to these data, inequality changes over time and affects the distribution of education and education costs between different areas. Income inequality is slightly higher in Karaganda and East-Kazakhstan regions; other areas have a more equitable income distribution by about 0.05 Gini coefficients. The regression specification shows that large megacities like Shymkent, Almaty, and Astana have a more significant influence, while Mangystau and North-Kazakhstan regions have minor power. The obtained results emphasise the importance ensuring access to education for reducing regional disparities and achieving stability in income distribution.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135838691","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 : 2023-01-01DOI: 10.17059/ekon.reg.2023-3-19
A. P. Siregar, N. P. A. Widjanarko
Economic development at the national level cannot be separated from the influence of economic performance at the regional level. As a country with abundant natural resources and great human resource potential, Indonesia has 34 provinces with relatively different economic bases. Some areas depend on a single category: the primary, secondary, or tertiary sector. Meanwhile, the other provinces have business fields that contribute relatively equal to forming a fairly balanced Gross Regional Domestic Product (GRDP). These different economic bases produce various impacts when an economic shock occurs. Unfortunately, the effect of economic diversity on GRDP has rarely been the focus of previous studies. Therefore, this study investigates the influence of economic diversity on regional economic growth. Data were collected from the Central Agency of Statistics (BPS) from 2013 to 2020. Then, panel data with a fixed effects generalised least squares method were employed to determine the changes in the dependent variable caused by the changes of the independent variable. Furthermore, data analysis revealed that economic diversity positively and significantly impacts GRDP. In other words, encouraging all business fields to generate value-added goods and services within the region may increase its economy. Moreover, past time experiences empirically conclude that economic shocks heavily hit the tertiary sector. At the same time, the primary industry relatively survived and played the role of economic bearing to prevent an area from further suffering. Lastly, a suggestion for further study is to investigate a combination model of the primary, secondary, and tertiary sectors to support sustainable economic growth.
{"title":"Impact of Diversity on Regional Economic Growth: A Case Study of Indonesia","authors":"A. P. Siregar, N. P. A. Widjanarko","doi":"10.17059/ekon.reg.2023-3-19","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-3-19","url":null,"abstract":"Economic development at the national level cannot be separated from the influence of economic performance at the regional level. As a country with abundant natural resources and great human resource potential, Indonesia has 34 provinces with relatively different economic bases. Some areas depend on a single category: the primary, secondary, or tertiary sector. Meanwhile, the other provinces have business fields that contribute relatively equal to forming a fairly balanced Gross Regional Domestic Product (GRDP). These different economic bases produce various impacts when an economic shock occurs. Unfortunately, the effect of economic diversity on GRDP has rarely been the focus of previous studies. Therefore, this study investigates the influence of economic diversity on regional economic growth. Data were collected from the Central Agency of Statistics (BPS) from 2013 to 2020. Then, panel data with a fixed effects generalised least squares method were employed to determine the changes in the dependent variable caused by the changes of the independent variable. Furthermore, data analysis revealed that economic diversity positively and significantly impacts GRDP. In other words, encouraging all business fields to generate value-added goods and services within the region may increase its economy. Moreover, past time experiences empirically conclude that economic shocks heavily hit the tertiary sector. At the same time, the primary industry relatively survived and played the role of economic bearing to prevent an area from further suffering. Lastly, a suggestion for further study is to investigate a combination model of the primary, secondary, and tertiary sectors to support sustainable economic growth.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135800138","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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