Pub Date : 2023-01-01DOI: 10.17059/ekon.reg.2023-2-17
E. Piskun, K. B. Brusnikin
Analysis of statistics at the micro-level shows that the development trends of a large number of resident entrepreneurial structures of industrial parks are characterised by adverse dynamics. Accordingly, assessment of the performance of entrepreneurial structures and improvement of their management models in the general system of industrial parks become more relevant. This paper presents a methodological approach to the construction of a spatial-rating assessment of the performance of entrepreneurial structures in the system of industrial parks functioning. As a result, two groups of Russian regions were identified, among which a potential resident, when making a decision on the placement of production facilities, can choose a region taking into account its investment attractiveness and industrial activity. Two discriminant groups of industrial parks were determined, the condition of which can be defined as economically inefficient and efficient, by evaluating parks with low and high values of the park rating level in terms of attractiveness for external investors and resident entrepreneurial structures. The proposed methodological approach can be applied to improve the quality of decisions on the formation of differentiated strategies for sustainable development of both individual entrepreneurial structures in the system of industrial parks and their clusters, and regions as a whole. It is recommended for both enterprises and industrial parks when making decisions on the formation of strategies and development scenarios, as well as for federal and regional authorities when designing documents for the territorial development on the strategic and tactical level.
{"title":"Spatial-Rating Assessment of Entrepreneurial Performance in Industrial Parks of Russian Regions","authors":"E. Piskun, K. B. Brusnikin","doi":"10.17059/ekon.reg.2023-2-17","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-17","url":null,"abstract":"Analysis of statistics at the micro-level shows that the development trends of a large number of resident entrepreneurial structures of industrial parks are characterised by adverse dynamics. Accordingly, assessment of the performance of entrepreneurial structures and improvement of their management models in the general system of industrial parks become more relevant. This paper presents a methodological approach to the construction of a spatial-rating assessment of the performance of entrepreneurial structures in the system of industrial parks functioning. As a result, two groups of Russian regions were identified, among which a potential resident, when making a decision on the placement of production facilities, can choose a region taking into account its investment attractiveness and industrial activity. Two discriminant groups of industrial parks were determined, the condition of which can be defined as economically inefficient and efficient, by evaluating parks with low and high values of the park rating level in terms of attractiveness for external investors and resident entrepreneurial structures. The proposed methodological approach can be applied to improve the quality of decisions on the formation of differentiated strategies for sustainable development of both individual entrepreneurial structures in the system of industrial parks and their clusters, and regions as a whole. It is recommended for both enterprises and industrial parks when making decisions on the formation of strategies and development scenarios, as well as for federal and regional authorities when designing documents for the territorial development on the strategic and tactical level.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"10 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85503089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","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.2023-1-13
F. Byk, L. Myshkina, M. Kozhevnikov
A modern organisational and technological structure of the energy sector emerged due to the development of distributed energy improving the reliability, efficiency and environmental friendliness of regional power supply systems. The study aims to substantiate the economic benefits of integrating smart local energy systems (SLES) based on distributed energy into regional power supply systems. Using heu-ristic and theoretical methods, the article explores the genesis of SLES and reveals factors that spur their development in regions. Analysis of empirical data from the implemented SLES projects revealed the ac-celerating pace of adoption of distributed energy by various regional economic sectors, allowing us to esti-mate the effects. Municipal smart local energy systems have a priority over those in agriculture and man-ufacturing, since their integration generates systemic effects significant for the region. These effects in-clude increased availability of energy at socially acceptable prices, reduced cross-subsidisation, flexible energy supply through the use of smart technology, and better conditions for small and medium-sized en-terprises. A key factor limiting the implementation of SLES projects is an underdeveloped institutional en-vironment, which could be improved by changing the current rules of the wholesale and retail markets of electricity and capacity. In particular, it might be expedient to include SLES in regional energy systems in order to justify changes in the regulatory framework. The paper presents a comprehensive examination of the properties and characteristics of smart local energy systems and suggests ways to obtain useful eco-nomic effects in the development of regional power supply systems. As for the practical value, the research emphasises the appeal of SLES to investment companies and outlines conditions for a region’s sustaina-ble development.
{"title":"Improving the Stability of power Supply in Regions on the Basis of Smart Local Energy Systems","authors":"F. Byk, L. Myshkina, M. Kozhevnikov","doi":"10.17059/ekon.reg.2023-1-13","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-13","url":null,"abstract":"A modern organisational and technological structure of the energy sector emerged due to the development of distributed energy improving the reliability, efficiency and environmental friendliness of regional power supply systems. The study aims to substantiate the economic benefits of integrating smart local energy systems (SLES) based on distributed energy into regional power supply systems. Using heu-ristic and theoretical methods, the article explores the genesis of SLES and reveals factors that spur their development in regions. Analysis of empirical data from the implemented SLES projects revealed the ac-celerating pace of adoption of distributed energy by various regional economic sectors, allowing us to esti-mate the effects. Municipal smart local energy systems have a priority over those in agriculture and man-ufacturing, since their integration generates systemic effects significant for the region. These effects in-clude increased availability of energy at socially acceptable prices, reduced cross-subsidisation, flexible energy supply through the use of smart technology, and better conditions for small and medium-sized en-terprises. A key factor limiting the implementation of SLES projects is an underdeveloped institutional en-vironment, which could be improved by changing the current rules of the wholesale and retail markets of electricity and capacity. In particular, it might be expedient to include SLES in regional energy systems in order to justify changes in the regulatory framework. The paper presents a comprehensive examination of the properties and characteristics of smart local energy systems and suggests ways to obtain useful eco-nomic effects in the development of regional power supply systems. As for the practical value, the research emphasises the appeal of SLES to investment companies and outlines conditions for a region’s sustaina-ble development.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"41 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81304212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","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.2023-2-1
. И.В.ЛутошкинiD, М. С. Рыбина, . IgorV.LutoshkiniD, Maria S. Rybina
Economic globalisation, logistics intensification, world population growth and increasing mobility lead to the emergence of mass diseases, determining the behaviour of various economic agents. The article offers a new tool for analysing regional economic management in conditions of mass diseases, which combines both socio-biological and economic factors in one economic and mathematical model. The proposed model is based on the description of disease dynamics among various population groups (SIR or SIER compartmental models) and corresponding socio-economic changes. Investments in the improvement of hospital beds, in the construction of new hospitals, and in information campaigns to combat the disease are considered as control actions on the economic system. Thus, the regional management system can apply this tool to quantify and compare possible management decisions, taking into account the mutual influence of biological and socio-economic factors. Mathematical models in population biology and epidemiology were analysed in order to construct the tool and assess its parameters by the methods of regression correlation analysis, simulation modelling, and numerical analysis of the differential equation system. In particular, statistical information on the COVID-19 pandemic in Russia and Ulyanovsk oblast for 2020 was examined during the research. The developed software package was utilised to model the presence or absence of restrictive measures during the reviewed period; then, a comparative analysis of these strategies was conducted. The described tool can be adapted to assess the management strategies of various economic agents. It can be further supplemented with quality criteria and appropriate algorithms for selecting optimal strategies to manage regional economy in conditions of mass diseases.
{"title":"Modelling of Regional Economic Management in Conditions of Mass Diseases","authors":". И.В.ЛутошкинiD, М. С. Рыбина, . IgorV.LutoshkiniD, Maria S. Rybina","doi":"10.17059/ekon.reg.2023-2-1","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-1","url":null,"abstract":"Economic globalisation, logistics intensification, world population growth and increasing mobility lead to the emergence of mass diseases, determining the behaviour of various economic agents. The article offers a new tool for analysing regional economic management in conditions of mass diseases, which combines both socio-biological and economic factors in one economic and mathematical model. The proposed model is based on the description of disease dynamics among various population groups (SIR or SIER compartmental models) and corresponding socio-economic changes. Investments in the improvement of hospital beds, in the construction of new hospitals, and in information campaigns to combat the disease are considered as control actions on the economic system. Thus, the regional management system can apply this tool to quantify and compare possible management decisions, taking into account the mutual influence of biological and socio-economic factors. Mathematical models in population biology and epidemiology were analysed in order to construct the tool and assess its parameters by the methods of regression correlation analysis, simulation modelling, and numerical analysis of the differential equation system. In particular, statistical information on the COVID-19 pandemic in Russia and Ulyanovsk oblast for 2020 was examined during the research. The developed software package was utilised to model the presence or absence of restrictive measures during the reviewed period; then, a comparative analysis of these strategies was conducted. The described tool can be adapted to assess the management strategies of various economic agents. It can be further supplemented with quality criteria and appropriate algorithms for selecting optimal strategies to manage regional economy in conditions of mass diseases.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"109 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80877652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","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.2023-1-1
Z. Belyaeva, Y. Lopatkova
The world economic development nowadays is characterised by the significance of digital in-novations and sustainable development in all areas of production and management. However, the exist-ing literature still cannot explain how environmental, economic and social factors of sustainable develop-ment corresponding to these innovations affect the new global ecosystem, based on the introduction and adaptation of digital technologies and achievement of the United Nations Sustainable Development Goals (SDGs) at the national level. The article presents the results of the authors’ assessment and classification of countries according to the achievement of the SDGs and implementation of digital innovations in the national and global economy. The empirical analysis utilises the data on the digitalisation performance in-dicators of the Global Innovation Index (GII) and the Sustainable Development Goals Index (SDG Index). The country assessment matrix was classified in terms of digitalisation and sustainable development and tested on a sample of European countries. Cluster analysis of 39 European countries identified four homo-geneous clusters, which have distinctive systemic characteristics: advanced countries, catching-up coun-tries, locomotive countries and leaders in sustainable and digital development. The identified clusters ex-pand the possibilities for substantiating socio-economic and technological strategies at the country — re-gion — industry level. Russia is revealed as one of the eleven catching-up countries. The paper specifies the directions of the strategy to achieve the target digitalisation and sustainable development in the pro-cess of integration of the SDGs into national indicators. The proposed assessment can be used to adjust the state policy for the co-development of digital innovations and sustainable development indicators.
{"title":"Cluster Assessment of European Countries in Terms of Digitalisation and Sustainable Development","authors":"Z. Belyaeva, Y. Lopatkova","doi":"10.17059/ekon.reg.2023-1-1","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-1","url":null,"abstract":"The world economic development nowadays is characterised by the significance of digital in-novations and sustainable development in all areas of production and management. However, the exist-ing literature still cannot explain how environmental, economic and social factors of sustainable develop-ment corresponding to these innovations affect the new global ecosystem, based on the introduction and adaptation of digital technologies and achievement of the United Nations Sustainable Development Goals (SDGs) at the national level. The article presents the results of the authors’ assessment and classification of countries according to the achievement of the SDGs and implementation of digital innovations in the national and global economy. The empirical analysis utilises the data on the digitalisation performance in-dicators of the Global Innovation Index (GII) and the Sustainable Development Goals Index (SDG Index). The country assessment matrix was classified in terms of digitalisation and sustainable development and tested on a sample of European countries. Cluster analysis of 39 European countries identified four homo-geneous clusters, which have distinctive systemic characteristics: advanced countries, catching-up coun-tries, locomotive countries and leaders in sustainable and digital development. The identified clusters ex-pand the possibilities for substantiating socio-economic and technological strategies at the country — re-gion — industry level. Russia is revealed as one of the eleven catching-up countries. The paper specifies the directions of the strategy to achieve the target digitalisation and sustainable development in the pro-cess of integration of the SDGs into national indicators. The proposed assessment can be used to adjust the state policy for the co-development of digital innovations and sustainable development indicators.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"139 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86578838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","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.2023-2-21
Sanaa Maswadeh
Governments care about the tax system and pay attention to it not as a tool for collecting money, but rather as a tool of economic reform, so that taxes achieve their financial, economic and social goals, and then achieve tax justice and protect the poor and middle class. Thus, this study came to investigate the effect of the tax revenue structure in Jordan on economics reform indicators (per individual income growth rate, public debt, openness trade, and inflation) as a challenge to the economic reform. The study population consists of the public sector of the ministries and public sector departments responsible for preparing the general budget and the Jordanian Department of Statistics, with the aim of relying on data issued by them during the time period 1990-2019. Multiple regression models were used to study hypotheses. The research results showed that direct tax (income and profits tax) in Jordan did not significantly affect the economic reform indicators, while there was a negative significant impact at a significance level (á ≤ 0.05) of sales tax on the economic reform indicators. Additionally, the study found that there is no significant effect of indirect taxes (property tax and foreign trade) on economic indicators relative to GDP represented in per individual income growth rate, public debt, and inflation. Among the recommendations of the study is that Jordan must develop the country’s public revenues from its own resources in order to reduce dependence on foreign debt.
{"title":"Tax System Reform as a Challenge to Economic Reform: A Case Study of Jordan","authors":"Sanaa Maswadeh","doi":"10.17059/ekon.reg.2023-2-21","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-21","url":null,"abstract":"Governments care about the tax system and pay attention to it not as a tool for collecting money, but rather as a tool of economic reform, so that taxes achieve their financial, economic and social goals, and then achieve tax justice and protect the poor and middle class. Thus, this study came to investigate the effect of the tax revenue structure in Jordan on economics reform indicators (per individual income growth rate, public debt, openness trade, and inflation) as a challenge to the economic reform. The study population consists of the public sector of the ministries and public sector departments responsible for preparing the general budget and the Jordanian Department of Statistics, with the aim of relying on data issued by them during the time period 1990-2019. Multiple regression models were used to study hypotheses. The research results showed that direct tax (income and profits tax) in Jordan did not significantly affect the economic reform indicators, while there was a negative significant impact at a significance level (á ≤ 0.05) of sales tax on the economic reform indicators. Additionally, the study found that there is no significant effect of indirect taxes (property tax and foreign trade) on economic indicators relative to GDP represented in per individual income growth rate, public debt, and inflation. Among the recommendations of the study is that Jordan must develop the country’s public revenues from its own resources in order to reduce dependence on foreign debt.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"40 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74214382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","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.2023-1-3
D. Gainanov, R. Gataullin, R. Safiullin
The Paris Agreement on climate change was adopted on December 12, 2015 by 197 states. Despite mutual sanctions between Russia and a group of countries led by the United States, the agree-ment remains in force. Since sanctions negatively affect the dynamics of the global economy, they cannot be perpetually imposed. Therefore, the state should be ready for any changes in foreign economic relations, including the lifting of sanctions and, in particular, fulfilment of the requirements of the Paris Agreement. To decarbonise the economy, regions have to take effective action and thoroughly assess the future work. The influence of the emission factor in each region is determined by the scale and structure of the econ-omy. The study presents a typology of regions based on the scale of production, functional localisation, vol-ume and structure of exports to non-CIS countries, volume and structure of exports by economic sectors subject to environmental taxation by the European Union and members of the Paris Agreement. Industrial regions, being major exporters of fuel and energy, chemistry and petrochemistry, metals, agricultural pro-duction, are more dependent on decarbonisation. Economically underdeveloped regions, such as Dagestan, Ingushetia, Kabardino-Balkaria, Kalmykia, Karachay-Cherkessia, Tyva, Chechnya and Jewish Autonomous Oblast, do not actively participate in the international division of labour and, consequently, do not depend on decarbonisation processes. Thus, the territorial differentiation of Russian regional systems should be considered when implementing socio-economic strategies, which take into account decarbonisation pro-cesses. Introduction of international hydrocarbon regulation by the European Union and transition to envi-ronmentally friendly technologies for the production of goods and services will require the territorial and structural transformation of regional economic systems.
{"title":"Typology of Russian Regional Systems in Connection with the Decarbonisation of the Economy","authors":"D. Gainanov, R. Gataullin, R. Safiullin","doi":"10.17059/ekon.reg.2023-1-3","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-3","url":null,"abstract":"The Paris Agreement on climate change was adopted on December 12, 2015 by 197 states. Despite mutual sanctions between Russia and a group of countries led by the United States, the agree-ment remains in force. Since sanctions negatively affect the dynamics of the global economy, they cannot be perpetually imposed. Therefore, the state should be ready for any changes in foreign economic relations, including the lifting of sanctions and, in particular, fulfilment of the requirements of the Paris Agreement. To decarbonise the economy, regions have to take effective action and thoroughly assess the future work. The influence of the emission factor in each region is determined by the scale and structure of the econ-omy. The study presents a typology of regions based on the scale of production, functional localisation, vol-ume and structure of exports to non-CIS countries, volume and structure of exports by economic sectors subject to environmental taxation by the European Union and members of the Paris Agreement. Industrial regions, being major exporters of fuel and energy, chemistry and petrochemistry, metals, agricultural pro-duction, are more dependent on decarbonisation. Economically underdeveloped regions, such as Dagestan, Ingushetia, Kabardino-Balkaria, Kalmykia, Karachay-Cherkessia, Tyva, Chechnya and Jewish Autonomous Oblast, do not actively participate in the international division of labour and, consequently, do not depend on decarbonisation processes. Thus, the territorial differentiation of Russian regional systems should be considered when implementing socio-economic strategies, which take into account decarbonisation pro-cesses. Introduction of international hydrocarbon regulation by the European Union and transition to envi-ronmentally friendly technologies for the production of goods and services will require the territorial and structural transformation of regional economic systems.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"167 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73395298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","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.2023-1-18
G. H. González, E. Sapir, A. Vasilchenko
Recent transformations following the global financial crisis of 2009, COVID-19 pandemic, supply chains disruptions and newest shocks have radically reshaped global production landscape and challenged comparative benefits of global production networks (GPN) vs global value chains (GVC) paradigms in international production analysis. The study tests the hypothesis that GPN concept allows for a better identification of structural shifts in international production structures while revealing regional patterns of cooperation. In the first section, the main methodological constraints of GVC paradigm are specified. Additionally, the reasons for the application of network-based approach to international production are outlined. The second section dissects the EU automotive manufacturing to support the theoretical propositions. While comparing GVC and GPN quantitative toolkits, the possible trade-off has been reached which is to calculate network indicators (transitivity, centrality, etc.) on the inter-country input-output tables. As a result, the hypothesis was confirmed. Specifically, betweenness centrality metric suggests that Czechia and Slovakia have immediately favoured a positive effect of the entry into the EU, whereas neither of GVC indicators reveals such a shift. Simultaneously, 2008 crisis is depicted via GVC indicators, whilst network metrics suggest no structural changes in the production system. These results corroborate to our theoretical juxtaposition of GVC/GPN approaches. The methodological cohesion of two sets of indicators further advances the views on European regional coreperiphery integration and automotive production networks dynamics. At the same time, the findings may contribute to the reassessment of regional integration developments in Europe, as well as in Latin America and Eurasia.
{"title":"Global Production Networks in the Regional Analysis Framework: Case of the EU Peripheral Automotive Manufacturing","authors":"G. H. González, E. Sapir, A. Vasilchenko","doi":"10.17059/ekon.reg.2023-1-18","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-18","url":null,"abstract":"Recent transformations following the global financial crisis of 2009, COVID-19 pandemic, supply chains disruptions and newest shocks have radically reshaped global production landscape and challenged comparative benefits of global production networks (GPN) vs global value chains (GVC) paradigms in international production analysis. The study tests the hypothesis that GPN concept allows for a better identification of structural shifts in international production structures while revealing regional patterns of cooperation. In the first section, the main methodological constraints of GVC paradigm are specified. Additionally, the reasons for the application of network-based approach to international production are outlined. The second section dissects the EU automotive manufacturing to support the theoretical propositions. While comparing GVC and GPN quantitative toolkits, the possible trade-off has been reached which is to calculate network indicators (transitivity, centrality, etc.) on the inter-country input-output tables. As a result, the hypothesis was confirmed. Specifically, betweenness centrality metric suggests that Czechia and Slovakia have immediately favoured a positive effect of the entry into the EU, whereas neither of GVC indicators reveals such a shift. Simultaneously, 2008 crisis is depicted via GVC indicators, whilst network metrics suggest no structural changes in the production system. These results corroborate to our theoretical juxtaposition of GVC/GPN approaches. The methodological cohesion of two sets of indicators further advances the views on European regional coreperiphery integration and automotive production networks dynamics. At the same time, the findings may contribute to the reassessment of regional integration developments in Europe, as well as in Latin America and Eurasia.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"108 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78780354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","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.2023-2-6
С. В. Дорошенко, О. В. Санаева, . SvetlanaV.DoroshenkoiD, O. Sanaeva
Nowadays, it is necessary to analyse the influence of various socio-economic factors on the regional heterogeneity of tobacco consumption in Russia, since there is a lack of econometric studies based on regional data. The present study aims to assess the impact of financial, economic and educational factors on tobacco consumption in Russian regions. To this end, a simultaneous quantile regression approach, resistant to outliers, was applied to separately estimate the influence of the above factors on regions classified as light and heavy smokers. Panel data on 82 Russian regions for the period 2005-2019 was examined. The dependent variable is the percentage of household expenditures on tobacco obtained from a sample survey of household budgets. The main independent variables are education, income, unemployment, loan debt. Control variables include alcohol consumption, male-to-female ratio, divorce rate, proportion of the rural population, binary variables. The invariance of the impact of factors relative to the percentiles of regions was revealed. The greatest differences are observed between light and heavy smokers regions (q10 and q90 groups). Individual loan debts, average per capita income, alcohol consumption, increase in excise tax, divorces and emergence of e-cigarettes are significant for regions with low tobacco consumption and insignificant for regions with high consumption. High consumption regions are greatly influenced by the male-to-female ratio, number of graduates of secondary vocational institutions and proportion of the rural population. Such factors as higher education, crises and anti-tobacco laws are significant for each quintile. The results can be used to improve state policy measures to reduce the consumption of nicotine products. The study is limited by the lack of regional data in terms of age and gender.
{"title":"Socio-Economic Determinants of Tobacco Consumption in Russian Regions","authors":"С. В. Дорошенко, О. В. Санаева, . SvetlanaV.DoroshenkoiD, O. Sanaeva","doi":"10.17059/ekon.reg.2023-2-6","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-6","url":null,"abstract":"Nowadays, it is necessary to analyse the influence of various socio-economic factors on the regional heterogeneity of tobacco consumption in Russia, since there is a lack of econometric studies based on regional data. The present study aims to assess the impact of financial, economic and educational factors on tobacco consumption in Russian regions. To this end, a simultaneous quantile regression approach, resistant to outliers, was applied to separately estimate the influence of the above factors on regions classified as light and heavy smokers. Panel data on 82 Russian regions for the period 2005-2019 was examined. The dependent variable is the percentage of household expenditures on tobacco obtained from a sample survey of household budgets. The main independent variables are education, income, unemployment, loan debt. Control variables include alcohol consumption, male-to-female ratio, divorce rate, proportion of the rural population, binary variables. The invariance of the impact of factors relative to the percentiles of regions was revealed. The greatest differences are observed between light and heavy smokers regions (q10 and q90 groups). Individual loan debts, average per capita income, alcohol consumption, increase in excise tax, divorces and emergence of e-cigarettes are significant for regions with low tobacco consumption and insignificant for regions with high consumption. High consumption regions are greatly influenced by the male-to-female ratio, number of graduates of secondary vocational institutions and proportion of the rural population. Such factors as higher education, crises and anti-tobacco laws are significant for each quintile. The results can be used to improve state policy measures to reduce the consumption of nicotine products. The study is limited by the lack of regional data in terms of age and gender.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"53 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90828769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","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.2023-1-2
I. Korshunov
The adoption of the UN 2030 Agenda for Sustainable Development by the Russian Federation in 2016 requires the introduction of the United Nations Sustainable Development Goals (SDGs) into na-tional strategies and policies. As most SDGs are already included in the main strategic planning documents, regional development strategies should be changed accordingly. This emerging practice of regional stra-tegic planning needs to be carefully studied. Based on the analysis of socio-economic strategies of eleven Russian regions included in the Northwestern Federal District, the present study shows the incorporation of the SDGs into regional strategic plans. The findings lead to the following conclusions. The implementa-tion of the SDGs in regional strategies is extremely heterogeneous, ranging from complete abstraction to their recognition as key development benchmarks. However, even the regions, which expressed the inten-tion to follow the UN Agenda in their strategies, did not establish clear plans for its implementation. The economic component of sustainable development is considered a priority, while social and environmen-tal components are underestimated, indicating that sustainable economic growth and related goals are seen as the main direction of regional development. Thus, sustainable development is yet to be achieved in the context determined by the UN Agenda and government strategic planning documents. It is necessary to further examine each region’s motivation for the introduction of the UN 2030 Agenda for Sustainable Development into regional strategies. Government and administrative bodies can use the research find-ings to improve approaches to strategic planning and management of the development of Russia and its regions.
{"title":"Sustainable Development in Regional Strategies: Approaches and Solutions","authors":"I. Korshunov","doi":"10.17059/ekon.reg.2023-1-2","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-1-2","url":null,"abstract":"The adoption of the UN 2030 Agenda for Sustainable Development by the Russian Federation in 2016 requires the introduction of the United Nations Sustainable Development Goals (SDGs) into na-tional strategies and policies. As most SDGs are already included in the main strategic planning documents, regional development strategies should be changed accordingly. This emerging practice of regional stra-tegic planning needs to be carefully studied. Based on the analysis of socio-economic strategies of eleven Russian regions included in the Northwestern Federal District, the present study shows the incorporation of the SDGs into regional strategic plans. The findings lead to the following conclusions. The implementa-tion of the SDGs in regional strategies is extremely heterogeneous, ranging from complete abstraction to their recognition as key development benchmarks. However, even the regions, which expressed the inten-tion to follow the UN Agenda in their strategies, did not establish clear plans for its implementation. The economic component of sustainable development is considered a priority, while social and environmen-tal components are underestimated, indicating that sustainable economic growth and related goals are seen as the main direction of regional development. Thus, sustainable development is yet to be achieved in the context determined by the UN Agenda and government strategic planning documents. It is necessary to further examine each region’s motivation for the introduction of the UN 2030 Agenda for Sustainable Development into regional strategies. Government and administrative bodies can use the research find-ings to improve approaches to strategic planning and management of the development of Russia and its regions.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"2015 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82623313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","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.2023-2-14
Н. М. Светлов, Nikolai M. Svetlov, Nikolai M. Svetlov — Dr
The impact of climate change on the social and institutional conditions of agriculture (as opposed to technological ones) in Russia has hardly been studied. With a limited budget, such research should examine a small sample of regions. To reduce the subjectivity, a formalised methodology for creating and ranking small samples of regions was developed. While occupying the largest possible share in the country’s gross agricultural production, the regions included in the sample should significantly differ in natural and agricultural zones, agricultural production efficiency, contribution of peasant farms to agricultural output. Unlike other methods, the proposed technique uses a linear programming problem, where all corner solutions are integer. Data envelopment analysis (DEA) was utilised to ensure the inclusion of both efficient and inefficient regions in the sample. In accordance with these requirements, Altai, Krasnoyarsk, Krasnodar krais and Moscow oblast were selected for analysis. For the regions included in at least one of the five best samples (such as Volgograd, Saratov and Leningrad oblasts), a model of partial equilibrium on the wholesale markets of agricultural products of the constituent entities of the Russian Federation (VIAPI model) was applied to assess the impact of scenario climate change on the output and wholesale prices of ten types of agricultural products. The research revealed that while the production in the selected regions is resistant to this influence, except for Altai and Krasnoyarsk krais, regional market prices are still rising due to the impact of world prices for milk products and grain.
{"title":"Methodology for Selecting Regions to Study the Adaptation of Agriculture to Climate Change","authors":"Н. М. Светлов, Nikolai M. Svetlov, Nikolai M. Svetlov — Dr","doi":"10.17059/ekon.reg.2023-2-14","DOIUrl":"https://doi.org/10.17059/ekon.reg.2023-2-14","url":null,"abstract":"The impact of climate change on the social and institutional conditions of agriculture (as opposed to technological ones) in Russia has hardly been studied. With a limited budget, such research should examine a small sample of regions. To reduce the subjectivity, a formalised methodology for creating and ranking small samples of regions was developed. While occupying the largest possible share in the country’s gross agricultural production, the regions included in the sample should significantly differ in natural and agricultural zones, agricultural production efficiency, contribution of peasant farms to agricultural output. Unlike other methods, the proposed technique uses a linear programming problem, where all corner solutions are integer. Data envelopment analysis (DEA) was utilised to ensure the inclusion of both efficient and inefficient regions in the sample. In accordance with these requirements, Altai, Krasnoyarsk, Krasnodar krais and Moscow oblast were selected for analysis. For the regions included in at least one of the five best samples (such as Volgograd, Saratov and Leningrad oblasts), a model of partial equilibrium on the wholesale markets of agricultural products of the constituent entities of the Russian Federation (VIAPI model) was applied to assess the impact of scenario climate change on the output and wholesale prices of ten types of agricultural products. The research revealed that while the production in the selected regions is resistant to this influence, except for Altai and Krasnoyarsk krais, regional market prices are still rising due to the impact of world prices for milk products and grain.","PeriodicalId":47897,"journal":{"name":"Cambridge Journal of Regions Economy and Society","volume":"68 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79546683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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