Pub Date : 2022-01-01DOI: 10.17059/ekon.reg.2022-4-20
O. Ovchinnikova, M. Kharlamov
Despite a significant number of studies on the development of single-industry towns and core enterprises, digital maturity of an enterprise and, subsequently, the impact of digital maturity of a core enterprise on the economic and social development of a territory remain an underdeveloped topic. Based on a hypothesis that digital maturity is a trigger for territorial development, this study assesses the digital maturity of core enterprises, i.e. their readiness to implement new technologies in all business processes for improving productivity and competitiveness. Digital maturity levels were determined according to the identification of strategic areas of activity, including unique technological competencies and personnel work. The proposed strategy for developing a new digital maturity model of enterprises takes into account the structure and content of existing models, since there are currently no best practices that can be scaled. In order to analyse digital maturity levels in detail, a survey of the expert community, as well interviews with digital transformation specialists were conducted. As a result, we constructed a digital maturity model of core enterprises that includes five levels, characterising organisational, production, human resources and external (impact on territorial development) processes. The parameter of the job creation multiplier was tested in the developed model. As a result, the conducted research confirmed the hypothesis that digital development of enterprises directly affects the territorial development. This, on the one hand, opens new opportunities for the socio-economic development of territories, and, on the other hand, places new demands on the digital infrastructure, quality of provided services, personnel competence, etc. The research results are of interest to state and local authorities, industry core enterprises, and the scientific community, as the obtained findings determine the prospects for studying digital maturity in relation to territorial and industrial development.
{"title":"Digital Maturity of Core Enterprises: Assessment and Impact on Territorial Development","authors":"O. Ovchinnikova, M. Kharlamov","doi":"10.17059/ekon.reg.2022-4-20","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-4-20","url":null,"abstract":"Despite a significant number of studies on the development of single-industry towns and core enterprises, digital maturity of an enterprise and, subsequently, the impact of digital maturity of a core enterprise on the economic and social development of a territory remain an underdeveloped topic. Based on a hypothesis that digital maturity is a trigger for territorial development, this study assesses the digital maturity of core enterprises, i.e. their readiness to implement new technologies in all business processes for improving productivity and competitiveness. Digital maturity levels were determined according to the identification of strategic areas of activity, including unique technological competencies and personnel work. The proposed strategy for developing a new digital maturity model of enterprises takes into account the structure and content of existing models, since there are currently no best practices that can be scaled. In order to analyse digital maturity levels in detail, a survey of the expert community, as well interviews with digital transformation specialists were conducted. As a result, we constructed a digital maturity model of core enterprises that includes five levels, characterising organisational, production, human resources and external (impact on territorial development) processes. The parameter of the job creation multiplier was tested in the developed model. As a result, the conducted research confirmed the hypothesis that digital development of enterprises directly affects the territorial development. This, on the one hand, opens new opportunities for the socio-economic development of territories, and, on the other hand, places new demands on the digital infrastructure, quality of provided services, personnel competence, etc. The research results are of interest to state and local authorities, industry core enterprises, and the scientific community, as the obtained findings determine the prospects for studying digital maturity in relation to territorial and industrial development.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"108 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":"83559363","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.2022-3-5
L. Leonova, V. Lakshina, A. Aladyshkina
Health is a comprehensive phenomenon with many determinants. The influence of environmental conditions on human health poses challenges for public health scientists. One of the main issues is the availability and relevance of the data on public health, including such indicators as morbidity and decease prevalence. In this study, we overcome this obstacle by using micro data on self-reported health from the Russia Longitudinal Monitoring Survey of Higher School of Economics. The study analyses the influence of environmental conditions on individual self-rated health in Russia, taking into account the heterogeneity of coefficients among self-rated health levels. We used generalised ordered probit model with random effects and embedded procedure for parallel line assumption violation testing. The characteristics of air, water and the quantity of pollutants in each region were considered as independent factors. The study showed significant negative influence of environmental factors on self-rated health throughout Russia. It is also demonstrated that higher self-rated health estimates are given by respondents whose level of education is no lower than that of vocational or trade school, who are married, and who are regularly engaged in physical activity. The results obtained can be used to improve regional state programmes aimed at improving the quality of life of the population in groups with different levels of health, for example, to the development and targeting of a set of health policy measures. Additionally, these findings can be utilised in programmes to improve the quality of the environment, which can increase the overall level of self-assessment of health in a particular region.
{"title":"Heterogeneous Effects of Individual Socio-Economic Characteristics and Regional Environmental Conditions on Self-Reported Health","authors":"L. Leonova, V. Lakshina, A. Aladyshkina","doi":"10.17059/ekon.reg.2022-3-5","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-3-5","url":null,"abstract":"Health is a comprehensive phenomenon with many determinants. The influence of environmental conditions on human health poses challenges for public health scientists. One of the main issues is the availability and relevance of the data on public health, including such indicators as morbidity and decease prevalence. In this study, we overcome this obstacle by using micro data on self-reported health from the Russia Longitudinal Monitoring Survey of Higher School of Economics. The study analyses the influence of environmental conditions on individual self-rated health in Russia, taking into account the heterogeneity of coefficients among self-rated health levels. We used generalised ordered probit model with random effects and embedded procedure for parallel line assumption violation testing. The characteristics of air, water and the quantity of pollutants in each region were considered as independent factors. The study showed significant negative influence of environmental factors on self-rated health throughout Russia. It is also demonstrated that higher self-rated health estimates are given by respondents whose level of education is no lower than that of vocational or trade school, who are married, and who are regularly engaged in physical activity. The results obtained can be used to improve regional state programmes aimed at improving the quality of life of the population in groups with different levels of health, for example, to the development and targeting of a set of health policy measures. Additionally, these findings can be utilised in programmes to improve the quality of the environment, which can increase the overall level of self-assessment of health in a particular region.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"50 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88148496","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.2022-4-23
T. Sarkhanov
Since oil plays an important role in the economy of Azerbaijan, the events in the global oil market deeply affect the national economy. Moreover, the COVID-19 pandemic influenced the economy of Azerbaijan, in which oil and gas have a significant place. In April 2020, the price of one barrel of oil on the world market fell to $1. One reason for this was the decrease in oil demand due to the lockdown regime implemented by many countries due to the rapid outbreak of the COVID-19 pandemic, and another reason was that the OPEC (Organization of the Petroleum Exporting Countries) countries could not agree on reducing oil production. The aim of this research is to show the impacts of oil prices on gross domestic product (GDP) of Azerbaijan, the growth rate of GDP, and the amount of oil production in Azerbaijan in 2009-2018. The hypothesis of the research is that oil prices seriously influence the economy of Azerbaijan and there is a correlation between the growth rate of Azerbaijan’s gross domestic product and the oil prices. The study starts with a brief description of the history of Azerbaijan’s oil industry, followed by oil industry’s importance in the economy of Azerbaijan, the role in foreign economic relations, and the effects on the economy of country. The quantitative method was used as a key research method. The data used in the analysis of this study were collected according to the literature scanning method, which is one of the data collection techniques. Further, descriptive statistics technique, which is a quantitative data analysis technique, was used to analyse the data. The findings show that the changes in oil prices in 2009-2018 directly affect the Azerbaijan’s gross domestic product, the growth rate of GDP, and the amount of oil production in Azerbaijan. Thus, as oil prices increase, the growth rate of the country’s gross domestic product and GDP increase and decrease as oil prices decrease.
{"title":"The Effect of Oil Prices on Azerbaijan’s Economy","authors":"T. Sarkhanov","doi":"10.17059/ekon.reg.2022-4-23","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-4-23","url":null,"abstract":"Since oil plays an important role in the economy of Azerbaijan, the events in the global oil market deeply affect the national economy. Moreover, the COVID-19 pandemic influenced the economy of Azerbaijan, in which oil and gas have a significant place. In April 2020, the price of one barrel of oil on the world market fell to $1. One reason for this was the decrease in oil demand due to the lockdown regime implemented by many countries due to the rapid outbreak of the COVID-19 pandemic, and another reason was that the OPEC (Organization of the Petroleum Exporting Countries) countries could not agree on reducing oil production. The aim of this research is to show the impacts of oil prices on gross domestic product (GDP) of Azerbaijan, the growth rate of GDP, and the amount of oil production in Azerbaijan in 2009-2018. The hypothesis of the research is that oil prices seriously influence the economy of Azerbaijan and there is a correlation between the growth rate of Azerbaijan’s gross domestic product and the oil prices. The study starts with a brief description of the history of Azerbaijan’s oil industry, followed by oil industry’s importance in the economy of Azerbaijan, the role in foreign economic relations, and the effects on the economy of country. The quantitative method was used as a key research method. The data used in the analysis of this study were collected according to the literature scanning method, which is one of the data collection techniques. Further, descriptive statistics technique, which is a quantitative data analysis technique, was used to analyse the data. The findings show that the changes in oil prices in 2009-2018 directly affect the Azerbaijan’s gross domestic product, the growth rate of GDP, and the amount of oil production in Azerbaijan. Thus, as oil prices increase, the growth rate of the country’s gross domestic product and GDP increase and decrease as oil prices decrease.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"16 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86928720","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.2022-4-9
V. Koksharov, G. Agarkov, A. Melnik
Training of a new generation of graduate students plays a key role in ensuring a country’s sustainable socio-economic development and active enhancement of human capital by continuous reproduction of cutting-edge knowledge in the form of research and development (R&D) for industry. In this context, it becomes important to examine the development dynamics of doctoral studies in Russian regions, as well as the graduate students’ financial well-being affecting their educational mobility and general opportunities to receive education (in particular, necessity of employment). The development of doctoral studies is analysed taking into account the distribution of resources (financial, intellectual) by regions and universities. The study also considers the concentration of resources in Russian universities capable of generating breakthrough ideas and technologies, which can be seen as centres of attraction for proactive youth. The methods of secondary data analysis, comparison, classification, and infographics were applied to process information. Such data as the monitoring of the effectiveness of Russian universities in 2014-2020 and sociological surveys of graduate students of a leading Russian university for 2017-2020 were analysed. As a result, the study presents a map showing the concentration of graduate students in certain regions, which takes into consideration their number, inflow and outflow. In addition to the capital regions (their share is 47.9 %), the Republic of Tatarstan (3.2 %), Tomsk oblast (2.4 %) and Sverdlovsk oblast (2.1 %), where leading Russian universities are located, were revealed to be the centres for attraction of graduate students. The top 7 regions also include Belgorod (the share of graduate students is 2.7 %) and Rostov oblasts (2.4 %) characterised by the presence of strong research and federal universities. However, due to the lack of funding (85 % of graduate students have to combine work and studies), the outflow to foreign universities is increasing even in the regions that attract a large number of scholars. The obtained findings can be used to improve the mechanisms for supporting graduate students in order to contribute to sustainable development of regions.
{"title":"University and Regional Landscape of Doctoral Studies in Russia: Financial Trajectories of Graduate Students","authors":"V. Koksharov, G. Agarkov, A. Melnik","doi":"10.17059/ekon.reg.2022-4-9","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-4-9","url":null,"abstract":"Training of a new generation of graduate students plays a key role in ensuring a country’s sustainable socio-economic development and active enhancement of human capital by continuous reproduction of cutting-edge knowledge in the form of research and development (R&D) for industry. In this context, it becomes important to examine the development dynamics of doctoral studies in Russian regions, as well as the graduate students’ financial well-being affecting their educational mobility and general opportunities to receive education (in particular, necessity of employment). The development of doctoral studies is analysed taking into account the distribution of resources (financial, intellectual) by regions and universities. The study also considers the concentration of resources in Russian universities capable of generating breakthrough ideas and technologies, which can be seen as centres of attraction for proactive youth. The methods of secondary data analysis, comparison, classification, and infographics were applied to process information. Such data as the monitoring of the effectiveness of Russian universities in 2014-2020 and sociological surveys of graduate students of a leading Russian university for 2017-2020 were analysed. As a result, the study presents a map showing the concentration of graduate students in certain regions, which takes into consideration their number, inflow and outflow. In addition to the capital regions (their share is 47.9 %), the Republic of Tatarstan (3.2 %), Tomsk oblast (2.4 %) and Sverdlovsk oblast (2.1 %), where leading Russian universities are located, were revealed to be the centres for attraction of graduate students. The top 7 regions also include Belgorod (the share of graduate students is 2.7 %) and Rostov oblasts (2.4 %) characterised by the presence of strong research and federal universities. However, due to the lack of funding (85 % of graduate students have to combine work and studies), the outflow to foreign universities is increasing even in the regions that attract a large number of scholars. The obtained findings can be used to improve the mechanisms for supporting graduate students in order to contribute to sustainable development of regions.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"141 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86200910","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.2022-4-5
J. Vacek, L. Dvořáková, L. Skřivan
The contribution presents results of the research focused on the adaptation of small and medium-sized enterprises (SMEs) in the service sector to technological, economic, social and environmental conditions of Industry and Society 4.0. The main goals of the research were the analysis and evaluation of the current state, preparedness, motivation and needs of SMEs in the sector of knowledge-intensive services for the timely, purposeful and effective implementation of Industry 4.0 methods and tools in the South-West region of the Czech Republic. The methodological approach is based on a mixed research strategy. Qualitative and quantitative methods such as desk research, explanatory and interpretation methods, questionnaire survey, semi-structured interview and evaluation of data and information were used to achieve the research goals. The results document the high current and future need to increase the knowledge and innovation potential of SMEs, the need for changes in the organisation and content of work, the need for changes in the competencies of employees in the context of robotisation, automation and digitisation of business processes. The results demonstrate barriers to access to sufficient internal and external financial resources, as well as a strong interest of SMEs in cooperation with the academic sector and regional authorities in the development of methodological tools for adaptation to new societal conditions and in the interest of the sustainable existence of these enterprises. The direction of future research is oriented towards the creation of a methodology for the adaptation of SMEs to the conditions of Industry and Society 4.0.
{"title":"Small and Medium-Sized Enterprises in the Service Sector in the Conditions of Industry 4.0 and Society 4.0: Evidence from the South-West Region of the Czech Republic","authors":"J. Vacek, L. Dvořáková, L. Skřivan","doi":"10.17059/ekon.reg.2022-4-5","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-4-5","url":null,"abstract":"The contribution presents results of the research focused on the adaptation of small and medium-sized enterprises (SMEs) in the service sector to technological, economic, social and environmental conditions of Industry and Society 4.0. The main goals of the research were the analysis and evaluation of the current state, preparedness, motivation and needs of SMEs in the sector of knowledge-intensive services for the timely, purposeful and effective implementation of Industry 4.0 methods and tools in the South-West region of the Czech Republic. The methodological approach is based on a mixed research strategy. Qualitative and quantitative methods such as desk research, explanatory and interpretation methods, questionnaire survey, semi-structured interview and evaluation of data and information were used to achieve the research goals. The results document the high current and future need to increase the knowledge and innovation potential of SMEs, the need for changes in the organisation and content of work, the need for changes in the competencies of employees in the context of robotisation, automation and digitisation of business processes. The results demonstrate barriers to access to sufficient internal and external financial resources, as well as a strong interest of SMEs in cooperation with the academic sector and regional authorities in the development of methodological tools for adaptation to new societal conditions and in the interest of the sustainable existence of these enterprises. The direction of future research is oriented towards the creation of a methodology for the adaptation of SMEs to the conditions of Industry and Society 4.0.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"76 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81654905","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.2022-2-21
M. Grzywińska-Rąpca
With an increase in COVID-19 cases and introduction of studying and working from home, households have begun to change their priorities in shopping behaviours. The source of the data was a survey conducted at the beginning of April 2020. The aim of the study was: (1) to demonstrate changes in respondents’ behaviour in the purchasing process and (2) to identify factors determining changes in these behaviours. The paper verified that, in the conditions of the pandemic, consumer shopping behaviour focuses on health safety. From a set of variables containing subjective opinions of respondents regarding factors influencing changes in their purchasing habits, dimensional reduction was carried out using factor analysis. Isolated factors were used to model Confirmatory Factor Analysis (CFA). The obtained assessments of the quality of the models (Hoelter value, CMIN/DF, RMSEA and others) indicate that the proposed models meet statistical standards and acceptability criteria. The models highlight the following factors: safety when shopping, prudence and a desire to protect health. Therefore, the assumptions were corroborated, according to which in a time of crisis and uncertainty (a pandemic is such a time), psychological factors and assumptions of behavioural theories are gaining in importance. This paper aims to complement existing research. The data obtained from the survey concern the level and frequency of expenditure on different product groups. Previous research has focused primarily on the impact of the pandemic on the economic situation. This document focuses on non-economic factors determining changes in consumer behaviour.
{"title":"Consumer Purchasing Behaviour during the COVID-19 Epidemic: A Case Study for Poland","authors":"M. Grzywińska-Rąpca","doi":"10.17059/ekon.reg.2022-2-21","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-21","url":null,"abstract":"With an increase in COVID-19 cases and introduction of studying and working from home, households have begun to change their priorities in shopping behaviours. The source of the data was a survey conducted at the beginning of April 2020. The aim of the study was: (1) to demonstrate changes in respondents’ behaviour in the purchasing process and (2) to identify factors determining changes in these behaviours. The paper verified that, in the conditions of the pandemic, consumer shopping behaviour focuses on health safety. From a set of variables containing subjective opinions of respondents regarding factors influencing changes in their purchasing habits, dimensional reduction was carried out using factor analysis. Isolated factors were used to model Confirmatory Factor Analysis (CFA). The obtained assessments of the quality of the models (Hoelter value, CMIN/DF, RMSEA and others) indicate that the proposed models meet statistical standards and acceptability criteria. The models highlight the following factors: safety when shopping, prudence and a desire to protect health. Therefore, the assumptions were corroborated, according to which in a time of crisis and uncertainty (a pandemic is such a time), psychological factors and assumptions of behavioural theories are gaining in importance. This paper aims to complement existing research. The data obtained from the survey concern the level and frequency of expenditure on different product groups. Previous research has focused primarily on the impact of the pandemic on the economic situation. This document focuses on non-economic factors determining changes in consumer behaviour.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"100 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86850563","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.2022-2-18
M. Dyakov
Sustainable regional development should consider the state and improvement of the quality of regional human capital. To this end, the present study focuses on economic assessment of human capital. Additionally, the research analyses the definitions of the “human capital” category, as well as approaches to identifying its composition and structure. After examining various economic assessment techniques, a definition of regional human capital was proposed. The cost approach was chosen as the most suitable tool for the economic assessment of human capital at the regional level. For economic valuation, the study uses a method developed by Chigoryaev and co-authors, including a number of theoretical and methodological modifications that take into account regional specificities. According to the assessment results, the total human capital in Kamchatka krai exceeded 191 billion roubles, of which more than 104 billion accounted for the fixed human capital. The constant growth of human capital in the period 2011–2018 was noted. Simultaneously, the share of the fixed human capital in the overall structure has been steadily increasing. The values of the chain growth rate of the operating human capital ranged from 1.0 to 1.06, while the values of this rate of the fixed human capital ranged from 1.14 to 2.05. A comparative analysis of the ratio of the total human and physical capital showed the presence of an imbalance: the share of human capital was gradually increasing and reached 37.5 % in 2018. The obtained results can be used to create strategic and programme documents in the field of regional socio-economic development. The modified method of Chigoryaev and co-authors can be applied for the valuation of regional human capital in other studies.
{"title":"Economic Assessment of Regional Human Capital","authors":"M. Dyakov","doi":"10.17059/ekon.reg.2022-2-18","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-18","url":null,"abstract":"Sustainable regional development should consider the state and improvement of the quality of regional human capital. To this end, the present study focuses on economic assessment of human capital. Additionally, the research analyses the definitions of the “human capital” category, as well as approaches to identifying its composition and structure. After examining various economic assessment techniques, a definition of regional human capital was proposed. The cost approach was chosen as the most suitable tool for the economic assessment of human capital at the regional level. For economic valuation, the study uses a method developed by Chigoryaev and co-authors, including a number of theoretical and methodological modifications that take into account regional specificities. According to the assessment results, the total human capital in Kamchatka krai exceeded 191 billion roubles, of which more than 104 billion accounted for the fixed human capital. The constant growth of human capital in the period 2011–2018 was noted. Simultaneously, the share of the fixed human capital in the overall structure has been steadily increasing. The values of the chain growth rate of the operating human capital ranged from 1.0 to 1.06, while the values of this rate of the fixed human capital ranged from 1.14 to 2.05. A comparative analysis of the ratio of the total human and physical capital showed the presence of an imbalance: the share of human capital was gradually increasing and reached 37.5 % in 2018. The obtained results can be used to create strategic and programme documents in the field of regional socio-economic development. The modified method of Chigoryaev and co-authors can be applied for the valuation of regional human capital in other studies.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"89 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83449398","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.2022-4-4
Yu. A. Gadzhiev, E. Timushev, M. Styrov
The conceptual ambiguity of the definition of regional competitiveness hinders the development of socio-economic policy measures to increase a region’s attractiveness to people and capital. The methodology for assessing competitiveness presented in this study evaluates the attractiveness of a region for business, considering the well-being of the population, environmental conditions, economic efficiency and development of innovation and information systems. Technically, the proposed methodology relies on the linear scaling method and various approaches to accounting for interregional price discrimination. Analysis of data obtained from the northern regions of Russia confirmed the conceptual link between competitiveness and productivity and production factors. The key regional competitiveness indicators are personal income and efficiency of production factors — capital intensity and wage intensity. The study revealed low competitiveness of the majority of the northern regions due to the insufficient development of the information system, low attractiveness for business and population, poor economic efficiency and little innovation. In order to maintain high competitiveness of the most successful regions — Yamalo-Nenets Autonomous Okrug, Khanty-Mansi Autonomous Okrug and Sakhalin Oblast — authorities should pay more attention to environment and innovation. The lagging regions need to implement measures to attract investment, increase spending on transport infrastructure, and reduce poverty and unemployment. Additionally, the least competitive regions — Nenets Autonomous Okrug, Kamchatka Krai, Arkhangelsk Oblast and the Republic of Sakha (Yakutia) — are recommended to focus on improving the regions’ information infrastructure and attractiveness for business. The article demonstrated that more reliable results can be obtained by using the index of budget expenditures instead of the cost of a fixed basket of goods and services adjusted for a specific region, since it better reflects the high cost of life in the northern regions. The findings can be used to develop socio-economic policy of the northern regions of Russia.
{"title":"Dynamics of Competitiveness of the Northern Regions in 2008–2020: Development of an Assessment Methodology","authors":"Yu. A. Gadzhiev, E. Timushev, M. Styrov","doi":"10.17059/ekon.reg.2022-4-4","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-4-4","url":null,"abstract":"The conceptual ambiguity of the definition of regional competitiveness hinders the development of socio-economic policy measures to increase a region’s attractiveness to people and capital. The methodology for assessing competitiveness presented in this study evaluates the attractiveness of a region for business, considering the well-being of the population, environmental conditions, economic efficiency and development of innovation and information systems. Technically, the proposed methodology relies on the linear scaling method and various approaches to accounting for interregional price discrimination. Analysis of data obtained from the northern regions of Russia confirmed the conceptual link between competitiveness and productivity and production factors. The key regional competitiveness indicators are personal income and efficiency of production factors — capital intensity and wage intensity. The study revealed low competitiveness of the majority of the northern regions due to the insufficient development of the information system, low attractiveness for business and population, poor economic efficiency and little innovation. In order to maintain high competitiveness of the most successful regions — Yamalo-Nenets Autonomous Okrug, Khanty-Mansi Autonomous Okrug and Sakhalin Oblast — authorities should pay more attention to environment and innovation. The lagging regions need to implement measures to attract investment, increase spending on transport infrastructure, and reduce poverty and unemployment. Additionally, the least competitive regions — Nenets Autonomous Okrug, Kamchatka Krai, Arkhangelsk Oblast and the Republic of Sakha (Yakutia) — are recommended to focus on improving the regions’ information infrastructure and attractiveness for business. The article demonstrated that more reliable results can be obtained by using the index of budget expenditures instead of the cost of a fixed basket of goods and services adjusted for a specific region, since it better reflects the high cost of life in the northern regions. The findings can be used to develop socio-economic policy of the northern regions of Russia.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"3 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80950146","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.2022-2-15
S. Nekrasov
The indicator of specific (per capita) electricity consumption (SEC) is stabilising in developed countries and increasing in developing economies. At least since the mid-2000s, the difference between the two groups of countries in terms of available power has been decreasing. In contrast to this trend, the transition of Russia to a market economy is characterised by the divergence of regions in terms of SEC. SEC of regions, being on average similar to that of the Netherlands, France, Germany, Great Britain, began to differ by 20 times. The technocenosis theory shows the need to change this negative trend. The low electricity consumption of developing countries depends on their inability to increase its production. In Russia, the problem is due to the low potential of the consumption sector, primarily in regions with SEC below 4 MWh/person per year. The solution of this macroeconomic problem, namely, the reduction of the existing differentiation in regional specific electricity consumption will help maintain the structural stability of the Russian economy and ensure its functioning in the context of external environment changes. Creation of conditions for the energy consumption development in industrial and agricultural enterprises is not a sectoral task of the electric power industry. Considering the sanctions imposed on Russia, structural stability of the national economy can be increased by improving the investment climate resulting from a decline in electricity prices for new non-residential consumers in regions with SEC below the level of developing countries. For these subsidy depending “outsider” regions, an increase in the availability of electricity, rather than the construction of new energy facilities, stimulates the labour productivity growth, re-industrialisation, and emergence of growth points.
{"title":"Electricity Consumption Growth in Russian Regions as a Factor of Their Socio-Economic Development","authors":"S. Nekrasov","doi":"10.17059/ekon.reg.2022-2-15","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-15","url":null,"abstract":"The indicator of specific (per capita) electricity consumption (SEC) is stabilising in developed countries and increasing in developing economies. At least since the mid-2000s, the difference between the two groups of countries in terms of available power has been decreasing. In contrast to this trend, the transition of Russia to a market economy is characterised by the divergence of regions in terms of SEC. SEC of regions, being on average similar to that of the Netherlands, France, Germany, Great Britain, began to differ by 20 times. The technocenosis theory shows the need to change this negative trend. The low electricity consumption of developing countries depends on their inability to increase its production. In Russia, the problem is due to the low potential of the consumption sector, primarily in regions with SEC below 4 MWh/person per year. The solution of this macroeconomic problem, namely, the reduction of the existing differentiation in regional specific electricity consumption will help maintain the structural stability of the Russian economy and ensure its functioning in the context of external environment changes. Creation of conditions for the energy consumption development in industrial and agricultural enterprises is not a sectoral task of the electric power industry. Considering the sanctions imposed on Russia, structural stability of the national economy can be increased by improving the investment climate resulting from a decline in electricity prices for new non-residential consumers in regions with SEC below the level of developing countries. For these subsidy depending “outsider” regions, an increase in the availability of electricity, rather than the construction of new energy facilities, stimulates the labour productivity growth, re-industrialisation, and emergence of growth points.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"27 5 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77834064","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.2022-2-13
L. Shkvarya, E. D. Frolova
Foreign trade, affected by digitalisation, acquired new features, while its development led to a new redistribution of world regions. The present article aims to reveal specific features and emerging trends in the digital segment of foreign trade and identify leading regions and success factors. In this case, the digital segment includes ICT-equipment and ICT-services trade. UNCTAD statistics for 2000–2019 were examined using the methodology of foreign trade structural and comparative analysis. We hypothesise that there are different development stages in the digital segment of foreign trade characterised by changes of leading regions. In particular, three waves in the development of the digital segment of foreign trade, corresponding to different characteristics, were identified. In the third wave, the growth rate of digital turnover remained the same but its share in the total global turnover decreased. It was revealed that the share of the digital segment is higher than the share of merchandise trade in the countries of one region. Asia-Pacific Region replaced the USA (that moved from the 1st place in the first wave to the 5th position) as the leading region. China, specialising in the export of ICT-equipment, came out on top with the 27.1 % share of digital exports in the country’s total exports, increasing by 15.9 times in 20 years. Russia, whose specialisation is the export of ICT-services, is closer to the end of the top 50 ranking of countries in this segment; its negative foreign trade balance was also revealed. The obtained findings can be useful for specialists developing the foreign digital trade strategy of Russia. In order to increase the potential of national economies, including Russia, in the digital segment of foreign trade, further research should focus on ways to prevent their lagging behind the leaders.
{"title":"Comparative Analysis of Foreign Trade Development in the Digital Segment by World Regions","authors":"L. Shkvarya, E. D. Frolova","doi":"10.17059/ekon.reg.2022-2-13","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-13","url":null,"abstract":"Foreign trade, affected by digitalisation, acquired new features, while its development led to a new redistribution of world regions. The present article aims to reveal specific features and emerging trends in the digital segment of foreign trade and identify leading regions and success factors. In this case, the digital segment includes ICT-equipment and ICT-services trade. UNCTAD statistics for 2000–2019 were examined using the methodology of foreign trade structural and comparative analysis. We hypothesise that there are different development stages in the digital segment of foreign trade characterised by changes of leading regions. In particular, three waves in the development of the digital segment of foreign trade, corresponding to different characteristics, were identified. In the third wave, the growth rate of digital turnover remained the same but its share in the total global turnover decreased. It was revealed that the share of the digital segment is higher than the share of merchandise trade in the countries of one region. Asia-Pacific Region replaced the USA (that moved from the 1st place in the first wave to the 5th position) as the leading region. China, specialising in the export of ICT-equipment, came out on top with the 27.1 % share of digital exports in the country’s total exports, increasing by 15.9 times in 20 years. Russia, whose specialisation is the export of ICT-services, is closer to the end of the top 50 ranking of countries in this segment; its negative foreign trade balance was also revealed. The obtained findings can be useful for specialists developing the foreign digital trade strategy of Russia. In order to increase the potential of national economies, including Russia, in the digital segment of foreign trade, further research should focus on ways to prevent their lagging behind the leaders.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":"155 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77997077","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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