Pub Date : 2022-01-01DOI: 10.17059/ekon.reg.2022-2-12
A. Kireyeva, Z. Satpayeva, M. Urdabayev
The level of digital readiness and the application of information and communication technologies (ICT) are key factors of any innovation policy. This research has highlighted the development of analysis of the degree of digital readiness and assessment methods of digital transformations, which can be used at various levels of business management to formulate digital transformation strategies. The present study investigates the theoretical framework in the field of innovation and spatial development considering the impact of the level of ICT. The research was conducted using index and economic-statistical methods based on a systematic approach. We developed a methodological tool adapted to the regional management level. The ICT development index, Krugman localisation index and Herfindahl-Hirschman index were modified to analyse digital readiness and ICT development at the regional level. The algorithm includes the following steps: assessment of the internet usage level; analysis of the degree of costs for the production of ICT; evaluation of the digital literacy rate of the population; evaluation of the degree of regional industry specialisation in the field of ICT. It was revealed that Kazakhstan’s regions have varying levels of ICT development, which is why they have different prerequisites and prospects for digitalising their economy. The agglomerations that could become “growth poles” of Kazakhstan’s knowledge-based economy were identified, such as Almaty city, Nur-Sultan city, Karaganda, and Aktobe regions. Government bodies can use the research findings for Kazakhstani territories’ digital modernisation.
{"title":"Analysis of the Digital Readiness and the Level of the ICT Development in Kazakhstan’s Regions","authors":"A. Kireyeva, Z. Satpayeva, M. Urdabayev","doi":"10.17059/ekon.reg.2022-2-12","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-12","url":null,"abstract":"The level of digital readiness and the application of information and communication technologies (ICT) are key factors of any innovation policy. This research has highlighted the development of analysis of the degree of digital readiness and assessment methods of digital transformations, which can be used at various levels of business management to formulate digital transformation strategies. The present study investigates the theoretical framework in the field of innovation and spatial development considering the impact of the level of ICT. The research was conducted using index and economic-statistical methods based on a systematic approach. We developed a methodological tool adapted to the regional management level. The ICT development index, Krugman localisation index and Herfindahl-Hirschman index were modified to analyse digital readiness and ICT development at the regional level. The algorithm includes the following steps: assessment of the internet usage level; analysis of the degree of costs for the production of ICT; evaluation of the digital literacy rate of the population; evaluation of the degree of regional industry specialisation in the field of ICT. It was revealed that Kazakhstan’s regions have varying levels of ICT development, which is why they have different prerequisites and prospects for digitalising their economy. The agglomerations that could become “growth poles” of Kazakhstan’s knowledge-based economy were identified, such as Almaty city, Nur-Sultan city, Karaganda, and Aktobe regions. Government bodies can use the research findings for Kazakhstani territories’ digital modernisation.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86593664","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.2022-3-1
T. Rostovskaya, O. Zolotareva
Nowadays, intensive technological development and transition to a new (VI) technological paradigm are seen as determinants of the quality of economic and welfare growth. Thus, analysis of interregional differentiation of Russian constituent entities and assessment of the relationship between their socio-economic indicators and technological development became relevant. However, insufficient attention is paid to the influence of the regional technological development on the welfare of residents. In this regard, the present study aims to assess this influence in Russia, as well as to link the population welfare growth with the phases of Kondratieff waves and the stages of the technological paradigm. The research methodology includes: cluster analysis used to group regions according to a set of parameters characterising the welfare of their inhabitants; calculation of composite indicators that were applied to create a ranking of regions; estimation of correlation coefficients. An approach was developed to analyse the regional technological development based on a composite indicator that includes three indices: internal costs for research and development; the share of enterprises implementing technological innovations in the total number of surveyed organisations; the share of innovative goods, works, services in the total volume of shipped goods, works, services. The constituent entities of Russia were ranked according to the obtained composite indicator of technological development. Then, 20 leading and 20 lagging regions were identified, for which the correlation coefficients were calculated. The study concluded that an increase in the welfare is achieved at the growth stage of a new technological paradigm, while an increase in poverty and a decrease in incomes of the population can be observed at the maturity stage of the previous technological paradigms.
{"title":"Transition to a New Technological Paradigm as a Determinant of the Population Welfare Growth in Russian Regions","authors":"T. Rostovskaya, O. Zolotareva","doi":"10.17059/ekon.reg.2022-3-1","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-3-1","url":null,"abstract":"Nowadays, intensive technological development and transition to a new (VI) technological paradigm are seen as determinants of the quality of economic and welfare growth. Thus, analysis of interregional differentiation of Russian constituent entities and assessment of the relationship between their socio-economic indicators and technological development became relevant. However, insufficient attention is paid to the influence of the regional technological development on the welfare of residents. In this regard, the present study aims to assess this influence in Russia, as well as to link the population welfare growth with the phases of Kondratieff waves and the stages of the technological paradigm. The research methodology includes: cluster analysis used to group regions according to a set of parameters characterising the welfare of their inhabitants; calculation of composite indicators that were applied to create a ranking of regions; estimation of correlation coefficients. An approach was developed to analyse the regional technological development based on a composite indicator that includes three indices: internal costs for research and development; the share of enterprises implementing technological innovations in the total number of surveyed organisations; the share of innovative goods, works, services in the total volume of shipped goods, works, services. The constituent entities of Russia were ranked according to the obtained composite indicator of technological development. Then, 20 leading and 20 lagging regions were identified, for which the correlation coefficients were calculated. The study concluded that an increase in the welfare is achieved at the growth stage of a new technological paradigm, while an increase in poverty and a decrease in incomes of the population can be observed at the maturity stage of the previous technological paradigms.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91035011","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.2022-3-2
A. Mosalev
Domestic cooperation of companies in the field of innovative economy seems to be a promising research area in Russia, especially considering recent macroeconomic events caused by sanctions, in particular, restrictions on the import of high-tech goods. Thus, the present study examines the optimal spatial scale of interregional innovation cooperation. The article presents an analysis of approaches to determining the optimal number of k-matrices of relations between innovation active regions. It is hypothesised that the innovative activity of the business sector in one region does not influence the innovative activity of its neighbours and vice versa. Stepwise regression was applied to identify the core explanatory variable. Based on the spatial weights matrices, a spatial econometric model was constructed using the least squares method. Further, the global Moran’s I was employed to test the spatial correlation, in particular, local indicators of spatial association (LISA) using the queen criterion of contiguity were utilised to determine the dependencies of innovative activity between neighbouring regions. The analysis used panel data from all Russian regions for the period from 2010 to 2019, as well as spatial econometric modelling to identify the side effects of the optimal spatial scale. As a result, the study revealed the presence of spatial correlation in the levels of regional innovative activity, the size of markets, as well as institutional support for enterprises in individual regions. Additionally, the research identified factors positively affecting the scale of innovative activity of the regions and adjacent territories, such as regional domestic income, the number of participants in innovation processes and infrastructure facilities. It has been established that the neighbourhood of regions characterised by the presence of many participants in innovation processes (at least 100 units), as well as innovation infrastructure facilities (at least 810 units) will be seen as the optimal scale of regional cooperation.
{"title":"Optimal Spatial Models of Interregional Economic Cooperation in the Field of Innovative Economy","authors":"A. Mosalev","doi":"10.17059/ekon.reg.2022-3-2","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-3-2","url":null,"abstract":"Domestic cooperation of companies in the field of innovative economy seems to be a promising research area in Russia, especially considering recent macroeconomic events caused by sanctions, in particular, restrictions on the import of high-tech goods. Thus, the present study examines the optimal spatial scale of interregional innovation cooperation. The article presents an analysis of approaches to determining the optimal number of k-matrices of relations between innovation active regions. It is hypothesised that the innovative activity of the business sector in one region does not influence the innovative activity of its neighbours and vice versa. Stepwise regression was applied to identify the core explanatory variable. Based on the spatial weights matrices, a spatial econometric model was constructed using the least squares method. Further, the global Moran’s I was employed to test the spatial correlation, in particular, local indicators of spatial association (LISA) using the queen criterion of contiguity were utilised to determine the dependencies of innovative activity between neighbouring regions. The analysis used panel data from all Russian regions for the period from 2010 to 2019, as well as spatial econometric modelling to identify the side effects of the optimal spatial scale. As a result, the study revealed the presence of spatial correlation in the levels of regional innovative activity, the size of markets, as well as institutional support for enterprises in individual regions. Additionally, the research identified factors positively affecting the scale of innovative activity of the regions and adjacent territories, such as regional domestic income, the number of participants in innovation processes and infrastructure facilities. It has been established that the neighbourhood of regions characterised by the presence of many participants in innovation processes (at least 100 units), as well as innovation infrastructure facilities (at least 810 units) will be seen as the optimal scale of regional cooperation.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78459282","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.2022-4-14
A. V. Ryndin, A. Platonov, A. Saryan, L. S. Kocharsky
The resort city of Sochi includes both coastal and mountain tourist and recreational clusters. Nowadays, the city needs to involve natural and recreational resources and historical and cultural heritage assets of underdeveloped low-mountain areas and subtropical agricultural lands in the tourism industry. The present research aims to determine scientific, methodological and organisational foundations for sustainable development of the aforementioned areas. The study reveals the organisational, managerial and legislative aspects of the contradiction between the legal status of rural areas and recreational objectives of the Sochi resort. Co-development of both agricultural activities and most promising types of tourism in hinterland (namely, medical, agrarian, ethnic and cognitive tourism) will help overcome this contradiction. The socio-economic impact of tourism and infrastructure development in rural districts of Sochi will contribute to the increase in employment and entrepreneurship, as well as improve the welfare of indigenous people. Subsequently, due to the creation of rural resorts, the potential of balneological and natural curative resources, unique historical and cultural heritage, natural landscapes and subtropical agricultural lands can be fully realised. The research findings can be used to elaborate and implement sound programmes for the spatial development of rural resorts and agro-tourism destinations in Sochi. Further research will focus on possible ways to transform rural resources into factors for the production of an integrated tourist product with unique valuable properties.
{"title":"Organisational, Methodological and Economic Foundations for Creating Rural Resorts in the Hinterland of Sochi","authors":"A. V. Ryndin, A. Platonov, A. Saryan, L. S. Kocharsky","doi":"10.17059/ekon.reg.2022-4-14","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-4-14","url":null,"abstract":"The resort city of Sochi includes both coastal and mountain tourist and recreational clusters. Nowadays, the city needs to involve natural and recreational resources and historical and cultural heritage assets of underdeveloped low-mountain areas and subtropical agricultural lands in the tourism industry. The present research aims to determine scientific, methodological and organisational foundations for sustainable development of the aforementioned areas. The study reveals the organisational, managerial and legislative aspects of the contradiction between the legal status of rural areas and recreational objectives of the Sochi resort. Co-development of both agricultural activities and most promising types of tourism in hinterland (namely, medical, agrarian, ethnic and cognitive tourism) will help overcome this contradiction. The socio-economic impact of tourism and infrastructure development in rural districts of Sochi will contribute to the increase in employment and entrepreneurship, as well as improve the welfare of indigenous people. Subsequently, due to the creation of rural resorts, the potential of balneological and natural curative resources, unique historical and cultural heritage, natural landscapes and subtropical agricultural lands can be fully realised. The research findings can be used to elaborate and implement sound programmes for the spatial development of rural resorts and agro-tourism destinations in Sochi. Further research will focus on possible ways to transform rural resources into factors for the production of an integrated tourist product with unique valuable properties.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82604680","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.2022-4-17
M. Petrov, L. Serkov, K. Kozhov
Provision of useful energy is the most important condition for realising the potential of underdeveloped regions. For new development areas, including the Yamal Peninsula, there are various energy alternatives. Based on well-known basic approaches, the article presents a procedure for formalising the analysis of alternatives mostly using qualitative initial data. At the pre-project stage, only limited and fuzzy information (predominantly in the form of expert opinions) is accessible. To achieve the set goal, six criteria for export assessment were selected and further processed using fuzzy multicriteria decision-making models based on fuzzy multicriteria analysis of alternatives in order to formalise logical reasoning with vague or imprecise statements. Due to insufficient measurements for constructing fuzzy sets, linguistic estimates of intuitive or logical pairwise comparisons were formalised using the Bellman–Zadeh model, the Saaty scale and the construction of membership functions. The fuzzy set was obtained by finding the eigenvector and the largest eigenvalue for the pairwise comparison matrix. Implementation of the maximin criterion along with the concession matrix allowed us to distinguish between alternatives when obtaining the same or similar estimates. As a result, the study showed the priority of diversification of primary energy source to provide useful energy to consumers in Yamal. According to the model, the most preferable source is atomic energy. In second place are gas turbine technologies, which are significantly ahead of wind energy sources. Diesel generators are considered the least favourable. Thus, the results of fuzzy modelling correspond with the explanatory factors of choice. The fuzzy set method with the transformation of linguistic estimates into quantitative ones can also be included in the apparatus of multicriteria selection with respect to combined options. The research findings can be used to prepare comprehensive strategies and schemes for location of industries and the energy infrastructure in remote Arctic territories.
{"title":"Assessment of Energy Supply to the Yamal Peninsula Based on Fuzzy Multicriteria Analysis","authors":"M. Petrov, L. Serkov, K. Kozhov","doi":"10.17059/ekon.reg.2022-4-17","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-4-17","url":null,"abstract":"Provision of useful energy is the most important condition for realising the potential of underdeveloped regions. For new development areas, including the Yamal Peninsula, there are various energy alternatives. Based on well-known basic approaches, the article presents a procedure for formalising the analysis of alternatives mostly using qualitative initial data. At the pre-project stage, only limited and fuzzy information (predominantly in the form of expert opinions) is accessible. To achieve the set goal, six criteria for export assessment were selected and further processed using fuzzy multicriteria decision-making models based on fuzzy multicriteria analysis of alternatives in order to formalise logical reasoning with vague or imprecise statements. Due to insufficient measurements for constructing fuzzy sets, linguistic estimates of intuitive or logical pairwise comparisons were formalised using the Bellman–Zadeh model, the Saaty scale and the construction of membership functions. The fuzzy set was obtained by finding the eigenvector and the largest eigenvalue for the pairwise comparison matrix. Implementation of the maximin criterion along with the concession matrix allowed us to distinguish between alternatives when obtaining the same or similar estimates. As a result, the study showed the priority of diversification of primary energy source to provide useful energy to consumers in Yamal. According to the model, the most preferable source is atomic energy. In second place are gas turbine technologies, which are significantly ahead of wind energy sources. Diesel generators are considered the least favourable. Thus, the results of fuzzy modelling correspond with the explanatory factors of choice. The fuzzy set method with the transformation of linguistic estimates into quantitative ones can also be included in the apparatus of multicriteria selection with respect to combined options. The research findings can be used to prepare comprehensive strategies and schemes for location of industries and the energy infrastructure in remote Arctic territories.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79007320","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.2022-2-10
S. Kulpin, G. Savchuk, O. Iakimova
Economy digitalisation creates new market mechanisms and regional development opportunities. In certain circumstances, the C2C (consumer-to-consumer) Internet market can act as a basis for establishing an entrepreneurial culture; subsequently, it can turn into an economic growth point of a region. However, since the entrepreneurial potential of regional digital markets varies, it is crucial to investigate these differences and the reasons for their occurrence. In the present study, the entrepreneurial potential of residents is measured through their digital inclusion in C2C Internet markets. The article analyses and characterises the active sellers of the Avito online classified in Russian regions. The data were collected using the content analysis of ads posted by individuals on the Avito platform (n = 1,597). Correlation and factor analysis were used for interpretation. The conducted analysis showed the following results. First, the study revealed a relationship between regional digitalisation and the size of the group of active sellers: a higher level of digitalisation of a territory (federal district) means that more residents start to actively use Avito for e-commerce. Second, the paper demonstrated the importance of locality, since the number of active sellers among Avito users is bigger in large cities. Third, it was proved that additional opportunities provided by the C2C market are more attractive for women than for men. The obtained findings can be used by authorities planning the regional development, as well as by researchers of the Internet economy describing and analysing the digitalisation processes. Further studies may identify and examine in detail the factors defining digital inclusion in C2C markets of Russian regions.
{"title":"Regional Analysis of Digital Inclusion in the C2C Market of Russia","authors":"S. Kulpin, G. Savchuk, O. Iakimova","doi":"10.17059/ekon.reg.2022-2-10","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-10","url":null,"abstract":"Economy digitalisation creates new market mechanisms and regional development opportunities. In certain circumstances, the C2C (consumer-to-consumer) Internet market can act as a basis for establishing an entrepreneurial culture; subsequently, it can turn into an economic growth point of a region. However, since the entrepreneurial potential of regional digital markets varies, it is crucial to investigate these differences and the reasons for their occurrence. In the present study, the entrepreneurial potential of residents is measured through their digital inclusion in C2C Internet markets. The article analyses and characterises the active sellers of the Avito online classified in Russian regions. The data were collected using the content analysis of ads posted by individuals on the Avito platform (n = 1,597). Correlation and factor analysis were used for interpretation. The conducted analysis showed the following results. First, the study revealed a relationship between regional digitalisation and the size of the group of active sellers: a higher level of digitalisation of a territory (federal district) means that more residents start to actively use Avito for e-commerce. Second, the paper demonstrated the importance of locality, since the number of active sellers among Avito users is bigger in large cities. Third, it was proved that additional opportunities provided by the C2C market are more attractive for women than for men. The obtained findings can be used by authorities planning the regional development, as well as by researchers of the Internet economy describing and analysing the digitalisation processes. Further studies may identify and examine in detail the factors defining digital inclusion in C2C markets of Russian regions.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90560882","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.2022-3-7
V. Lyashok, E. Varshavskaya
Actual retirement age is one of the most important characteristics of older people employment and retirement behaviour. Since the mid-1990s, the effective retirement age has been used to estimate the age of exit from the labour market of older workers. In the context of significant socio-economic differentiation of Russian regions, this parameter should be assessed not only at the national, but also at the regional level. The article presents estimates of the age of exit from the labour market (effective retirement age) in Russian regions for 2010-2019, as well as identifies the factors determining its interregional differentiation. For the first time, the effective retirement age and its determining factors were assessed using Russian data. In particular, Labour Force Survey and regional statistics were analysed. To calculate the effective retirement age, both static and dynamic approaches were applied; econometric modelling was used to identify its determinants. The study revealed that in 2019 the age of exit from the labour market was 62.4 years for men and 60.2 years for women. The effective retirement age for Russian men and women is higher than the normal retirement age in the country, but is lower than the average of most OECD countries. For the period 2010-2019, the age of exit from the labour market remained practically unchanged for men, while it slightly increased for women (by 0.7 years). The age of exit from the labour market is characterised by a fairly significant and stable regional differentiation. The determinants of the effective retirement age are the northern status of a region, the relative level of pensions in the region (the ratio of the average pension to the average wage), the share of employees with higher education. The research results can be used to develop measures to increase the older people employment. Changes in the age of exit from the labour market caused by the pension reform require a further study.
{"title":"Interregional Differentiation of the Age of Exit from the Labour Market in Russia","authors":"V. Lyashok, E. Varshavskaya","doi":"10.17059/ekon.reg.2022-3-7","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-3-7","url":null,"abstract":"Actual retirement age is one of the most important characteristics of older people employment and retirement behaviour. Since the mid-1990s, the effective retirement age has been used to estimate the age of exit from the labour market of older workers. In the context of significant socio-economic differentiation of Russian regions, this parameter should be assessed not only at the national, but also at the regional level. The article presents estimates of the age of exit from the labour market (effective retirement age) in Russian regions for 2010-2019, as well as identifies the factors determining its interregional differentiation. For the first time, the effective retirement age and its determining factors were assessed using Russian data. In particular, Labour Force Survey and regional statistics were analysed. To calculate the effective retirement age, both static and dynamic approaches were applied; econometric modelling was used to identify its determinants. The study revealed that in 2019 the age of exit from the labour market was 62.4 years for men and 60.2 years for women. The effective retirement age for Russian men and women is higher than the normal retirement age in the country, but is lower than the average of most OECD countries. For the period 2010-2019, the age of exit from the labour market remained practically unchanged for men, while it slightly increased for women (by 0.7 years). The age of exit from the labour market is characterised by a fairly significant and stable regional differentiation. The determinants of the effective retirement age are the northern status of a region, the relative level of pensions in the region (the ratio of the average pension to the average wage), the share of employees with higher education. The research results can be used to develop measures to increase the older people employment. Changes in the age of exit from the labour market caused by the pension reform require a further study.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84291016","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.2022-4-1
R. Malikov, K. Grishin, V. Timiryanova
Nowadays, entrepreneurship should be analysed from the perspective of interconnectedness and mutual influence of elements of regional economic systems, since the type and intensity of their interaction determine the emergence of windows of opportunity for entrepreneurs. Thus, the present study uses an ecosystem approach. We hypothesise that the spatial configuration of the performance of regional entrepreneurial ecosystems (REES) largely depends on the interaction between local entrepreneurial ecosystems, as well as on the cumulative impact of REES on local entrepreneurial ecosystems. Using the methodology of spatial and hierarchical analysis, the study investigates the dependence of the development of local entrepreneurial ecosystems on their embeddedness in regional entrepreneurial ecosystems, assesses the spatial connectivity of REES, and considers relationships between small and large businesses in regional entrepreneurial ecosystems. The global Moran’s I and the Getis-Ord statistics for regional entrepreneurial ecosystems used to assess their spatial connectivity were calculated based on the analysis of data concerning the shipping volume of large and medium enterprises from 2315 municipalities of 85 constituent entities of the Russian Federation. At the level of local entrepreneurial ecosystems, the study revealed the link between the variation in the values of the shipping volume of business entities and their belonging to specific regional entrepreneurial ecosystems (constituent entities of the Russian Federation). In addition, a positive relationship was found between the shipping volume of large and medium enterprises operating in local entrepreneurial ecosystems, the shipping volume of goods produced by small enterprises and the average revenue of individual entrepreneurs. Considering the identified factors of spatial determination of regional entrepreneurial ecosystems and the closeness of interregional and intermunicipal ties of local entrepreneurial ecosystems, it is possible to generalise the best practices of spatial organisation of regional business communities and create effective development models.
{"title":"Configuration of Regional Entrepreneurial Ecosystems through the Prism of Spatial and Hierarchical Analysis","authors":"R. Malikov, K. Grishin, V. Timiryanova","doi":"10.17059/ekon.reg.2022-4-1","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-4-1","url":null,"abstract":"Nowadays, entrepreneurship should be analysed from the perspective of interconnectedness and mutual influence of elements of regional economic systems, since the type and intensity of their interaction determine the emergence of windows of opportunity for entrepreneurs. Thus, the present study uses an ecosystem approach. We hypothesise that the spatial configuration of the performance of regional entrepreneurial ecosystems (REES) largely depends on the interaction between local entrepreneurial ecosystems, as well as on the cumulative impact of REES on local entrepreneurial ecosystems. Using the methodology of spatial and hierarchical analysis, the study investigates the dependence of the development of local entrepreneurial ecosystems on their embeddedness in regional entrepreneurial ecosystems, assesses the spatial connectivity of REES, and considers relationships between small and large businesses in regional entrepreneurial ecosystems. The global Moran’s I and the Getis-Ord statistics for regional entrepreneurial ecosystems used to assess their spatial connectivity were calculated based on the analysis of data concerning the shipping volume of large and medium enterprises from 2315 municipalities of 85 constituent entities of the Russian Federation. At the level of local entrepreneurial ecosystems, the study revealed the link between the variation in the values of the shipping volume of business entities and their belonging to specific regional entrepreneurial ecosystems (constituent entities of the Russian Federation). In addition, a positive relationship was found between the shipping volume of large and medium enterprises operating in local entrepreneurial ecosystems, the shipping volume of goods produced by small enterprises and the average revenue of individual entrepreneurs. Considering the identified factors of spatial determination of regional entrepreneurial ecosystems and the closeness of interregional and intermunicipal ties of local entrepreneurial ecosystems, it is possible to generalise the best practices of spatial organisation of regional business communities and create effective development models.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84770742","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.2022-2-1
B. Truong Cong
Regional studies, particularly in rural areas, have attracted great attention from scholars and policy-makers. However, almost all existing literature focused on the growth of these areas while giving little consideration to converting economic activities or economic structural transformation, which plays the main role in sustainable development. Additionally, the studies about economic structural transformation mainly mention the factors, which are changes inside certain economic areas and ignore the outside effects while any geographical area also has spatial relationships. To fill this gap, this study blends the economic structure and regional linkages theories to supply a comprehensive view of the relationship between inside and outside factors that influence rural structural transformation by using systematic reviews and meta-analysis methods. The study’s findings consolidate the importance of urban areas and regional linkages, especially spatial interaction, in rural economic structural transformation. More specifically, this study shows that the motivation for structural transformation of rural areas is emanated from urban areas and is transmitted through spatial flows, which are then absorbed in rural areas. The mechanisms through which the motivation affects rural economic structure are productivity, income, and agricultural land. Based on the review, the study lists several further research questions regarding empirical research of rural economic structural transformation through the relationship between rural and urban areas.
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Pub Date : 2022-01-01DOI: 10.17059/ekon.reg.2022-2-16
O. Mazurova, E. Galperova, V. Loktionov
A global priority of electrification expansion in all areas is also stated in the Energy Strategy of the Russian Federation. The study aims to forecast electricity demand in Russia taking into account possible electrification options in economic sectors. The article presents a multi-stage procedure and a concise review of methodological approaches to the long-term assessment of electricity demand, which considers the impact of complex interrelationships in social, economic and technological policies. In particular, this approach focuses on the regional level, where the interests of energy producers and consumers are reconciled. The current and promising directions of electricity use in Russian regions and economic sectors were analysed based on various statistics and forecasts. The conducted analysis demonstrated the stability of sectoral and territorial energy consumption patterns, as well as a decrease and convergence of values of gross regional product (GRP) energy intensity. Energy consumption of regions varies due to significant differences in industrial specialisation and living standards of the population. The highest energy consumption is observed in developed regions (Central Federal District) or regions with a large share of energy-intensive industries (Siberian Federal District). According to the accepted economic development and electrification expansion strategies for the period 2025–2040, on average, electricity demand in Russian regions is expected to increase by 1.4–1.8 % annually. It is anticipated that the Siberian and Far Eastern Federal Districts will show the highest growth rates of energy consumption due to the accelerated development of these territories. Predicted dynamics of the gross domestic product (GDP) energy intensity in Russia confirms its compliance with global trends. The research findings may prove useful in creating programmes and development strategies for the country and its regions.
{"title":"Forecasting Electricity Demand in the Russian Federation and Its Regions Taking Into Account Electrification Expansion","authors":"O. Mazurova, E. Galperova, V. Loktionov","doi":"10.17059/ekon.reg.2022-2-16","DOIUrl":"https://doi.org/10.17059/ekon.reg.2022-2-16","url":null,"abstract":"A global priority of electrification expansion in all areas is also stated in the Energy Strategy of the Russian Federation. The study aims to forecast electricity demand in Russia taking into account possible electrification options in economic sectors. The article presents a multi-stage procedure and a concise review of methodological approaches to the long-term assessment of electricity demand, which considers the impact of complex interrelationships in social, economic and technological policies. In particular, this approach focuses on the regional level, where the interests of energy producers and consumers are reconciled. The current and promising directions of electricity use in Russian regions and economic sectors were analysed based on various statistics and forecasts. The conducted analysis demonstrated the stability of sectoral and territorial energy consumption patterns, as well as a decrease and convergence of values of gross regional product (GRP) energy intensity. Energy consumption of regions varies due to significant differences in industrial specialisation and living standards of the population. The highest energy consumption is observed in developed regions (Central Federal District) or regions with a large share of energy-intensive industries (Siberian Federal District). According to the accepted economic development and electrification expansion strategies for the period 2025–2040, on average, electricity demand in Russian regions is expected to increase by 1.4–1.8 % annually. It is anticipated that the Siberian and Far Eastern Federal Districts will show the highest growth rates of energy consumption due to the accelerated development of these territories. Predicted dynamics of the gross domestic product (GDP) energy intensity in Russia confirms its compliance with global trends. The research findings may prove useful in creating programmes and development strategies for the country and its regions.","PeriodicalId":51978,"journal":{"name":"Ekonomika Regiona-Economy of Region","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78684797","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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