Pub Date : 2021-01-01DOI: 10.15826/recon.2021.7.4.020
M. Makarova, O. Pyshmintseva
Relevance. In Russia, there are significant regional variations in the socio-economic impact of the COVID-19 pandemic (e.g. the growth in the number of deaths ranged from 7% in Novgorod Region to 43% in the Chechen Republic). In this paper, we focus on excess mortality and the key factors that contributed to it in order to get a better understanding of reasons behind such dramatic regional variations. The research objective is to assess excess mortality due to the COVID-19 pandemic and identify the key factors influencing the growth in mortality and regional variations in this indicator. Data and methods. The paper uses the analytical, statistical and correlation methods and the statistical data on Russian regions provided by the Federal State Statistics Service (Rosstat). Results. The analysis of excess mortality in Russian regions during the COVID-19 pandemic, in particular the correlation between excess mortality and intensity of human flows, has been used to build a typology of regions. In total, the regions were divided into four groups, and for each group the main factors that contributed to the growth in mortality were identified. The research findings can be used by policy-makers to devise more efficient regional policies in response to the COVID-19 crisis.
{"title":"Excess mortality in Russian regions during the COVID-19 pandemic","authors":"M. Makarova, O. Pyshmintseva","doi":"10.15826/recon.2021.7.4.020","DOIUrl":"https://doi.org/10.15826/recon.2021.7.4.020","url":null,"abstract":"Relevance. In Russia, there are significant regional variations in the socio-economic impact of the COVID-19 pandemic (e.g. the growth in the number of deaths ranged from 7% in Novgorod Region to 43% in the Chechen Republic). In this paper, we focus on excess mortality and the key factors that contributed to it in order to get a better understanding of reasons behind such dramatic regional variations. The research objective is to assess excess mortality due to the COVID-19 pandemic and identify the key factors influencing the growth in mortality and regional variations in this indicator. Data and methods. The paper uses the analytical, statistical and correlation methods and the statistical data on Russian regions provided by the Federal State Statistics Service (Rosstat). Results. The analysis of excess mortality in Russian regions during the COVID-19 pandemic, in particular the correlation between excess mortality and intensity of human flows, has been used to build a typology of regions. In total, the regions were divided into four groups, and for each group the main factors that contributed to the growth in mortality were identified. The research findings can be used by policy-makers to devise more efficient regional policies in response to the COVID-19 crisis.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67262743","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 : 2020-12-30DOI: 10.15826/RECON.2020.6.4.023
A. Panzabekova, I. Digel, Аксана Панзабекова, И. Е. Дигель
Relevance. Life expectancy is a comprehensive indicator reflecting the quality of life in a country or region, which is why it is important to estimate the impact of various socio-economic factors on this indicator as accurately as possible. Our study makes a novel contribution to the existing research by conducting a correlation and regression analysis of factors affecting life expectancy in regions of Kazakhstan based on panel data. Research objective. This paper aims to present a modified methodology for estimation of factors affecting life expectancy in regions of Kazakhstan. Data and methods. Our research relies on panel data on regions and cities of Kazakhstan. The data are provided by the Ministry of National Economy and the Ministry of Health Care of the Republic of Kazakhstan. Methodologically, the research is based on regression and correlation analysis. The two main criteria were applied for data selection: availability of statistical data for a sufficiently long period and the potential impact of factors on life expectancy. We built a two-factor power regression model calculated with the help of software package Microsoft Excel. Results. In our research, regression models were used to formulate conclusions concerning the impact of certain socio-economic factors on life expectancy in regions of Kazakhstan. We also brought to light the factors whose relationship to life expectancy requires further investigation. Conclusions. It was found that the most significant factors affecting life expectancy in regions of Kazakhstan are economic ones. The proposed methodology can be used for short- and medium-term predictions of life expectancy.
{"title":"Factors affecting life expectancy in Kazakhstan","authors":"A. Panzabekova, I. Digel, Аксана Панзабекова, И. Е. Дигель","doi":"10.15826/RECON.2020.6.4.023","DOIUrl":"https://doi.org/10.15826/RECON.2020.6.4.023","url":null,"abstract":"Relevance. Life expectancy is a comprehensive indicator reflecting the quality of life in a country or region, which is why it is important to estimate the impact of various socio-economic factors on this indicator as accurately as possible. Our study makes a novel contribution to the existing research by conducting a correlation and regression analysis of factors affecting life expectancy in regions of Kazakhstan based on panel data. Research objective. This paper aims to present a modified methodology for estimation of factors affecting life expectancy in regions of Kazakhstan. Data and methods. Our research relies on panel data on regions and cities of Kazakhstan. The data are provided by the Ministry of National Economy and the Ministry of Health Care of the Republic of Kazakhstan. Methodologically, the research is based on regression and correlation analysis. The two main criteria were applied for data selection: availability of statistical data for a sufficiently long period and the potential impact of factors on life expectancy. We built a two-factor power regression model calculated with the help of software package Microsoft Excel. Results. In our research, regression models were used to formulate conclusions concerning the impact of certain socio-economic factors on life expectancy in regions of Kazakhstan. We also brought to light the factors whose relationship to life expectancy requires further investigation. Conclusions. It was found that the most significant factors affecting life expectancy in regions of Kazakhstan are economic ones. The proposed methodology can be used for short- and medium-term predictions of life expectancy.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44339714","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 : 2020-11-09DOI: 10.15826/recon.2020.6.3.019
Y. Shah, Yumin Liu, F. Shah, Fadia Shah
Relevance. Human health is essential to economic activity and social development. The rapid spread of the coronavirus disease (COVID-19) all around the world can be particularly disastrous for low-income persons, which means that the pandemic poses a severe threat for developing countries. In Pakistan, small and medium enterprises (SMEs) were hit especially hard by the pandemic and lockdown restrictions. This research focuses on the economic challenges faced by Pakistan in combatting the impacts of the pandemic. Research objective.The purpose of the article is to identify the difficulties faced by SMEs as a result of the coronavirus infection Data and methods. The methodological approach presents an analysis of statistical data to show the main problems of the SME sector during the COVID-19 pandemic. The study used the data from the statistical report of the Ministry of Health of the Government of Pakistan (GOP), as well as the data from previous studies on the effects of COVID-19 pandemic. Results. The study identified problems for SMEs during COVID-19, such as the lack of capital and the lack of satisfactory business plans. Moreover, poverty is one of the most serious problems in Pakistan, which is why SMEs cannot afford prolonged isolation during the Covid-19 pandemic and individual entrepreneurs have to risk their lives for their families. The government of Pakistan has adapted steps to control the epidemic, however, so far there is no policy for small business investors. The authorities are still working on the policies for small business units. Conclusions. Although Pakistan has adopted many protective measures, the situation regarding measures to support SMEs still leaves much to be desired.The lack of state support contributes to the general economic crisis the country has faced due to the pandemic.
{"title":"Challenges of small- and medium-sized businesses in Pakistan due to COVID-19 pandemic","authors":"Y. Shah, Yumin Liu, F. Shah, Fadia Shah","doi":"10.15826/recon.2020.6.3.019","DOIUrl":"https://doi.org/10.15826/recon.2020.6.3.019","url":null,"abstract":"Relevance. Human health is essential to economic activity and social development. The rapid spread of the coronavirus disease (COVID-19) all around the world can be particularly disastrous for low-income persons, which means that the pandemic poses a severe threat for developing countries. In Pakistan, small and medium enterprises (SMEs) were hit especially hard by the pandemic and lockdown restrictions. This research focuses on the economic challenges faced by Pakistan in combatting the impacts of the pandemic. Research objective.The purpose of the article is to identify the difficulties faced by SMEs as a result of the coronavirus infection Data and methods. The methodological approach presents an analysis of statistical data to show the main problems of the SME sector during the COVID-19 pandemic. The study used the data from the statistical report of the Ministry of Health of the Government of Pakistan (GOP), as well as the data from previous studies on the effects of COVID-19 pandemic. Results. The study identified problems for SMEs during COVID-19, such as the lack of capital and the lack of satisfactory business plans. Moreover, poverty is one of the most serious problems in Pakistan, which is why SMEs cannot afford prolonged isolation during the Covid-19 pandemic and individual entrepreneurs have to risk their lives for their families. The government of Pakistan has adapted steps to control the epidemic, however, so far there is no policy for small business investors. The authorities are still working on the policies for small business units. Conclusions. Although Pakistan has adopted many protective measures, the situation regarding measures to support SMEs still leaves much to be desired.The lack of state support contributes to the general economic crisis the country has faced due to the pandemic.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42853322","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 : 2020-11-09DOI: 10.15826/recon.2020.6.3.013
E. Kolomak
Relevance. The spatial dimension of economic development is always in the focus of the political and research agenda. Regional disparities, along with different rates of the spread of the coronavirus pandemic and decentralization of restrictive measures, resulted in significant differences in Russian regions’ economic responses to the pandemic. The relevance of this study is determined by the need to investigate the reasons behind these regional discrepancies. Research objective. This study aims to analyze the economic consequences of the pandemic-related restrictions and the degree of the spatial heterogeneity of these effects in Russia. Data and methods. We rely on the Rosstat data to build the indicator of the level of economic activity in Russian regions in April-May 2020. We tested the hypothesis that developed regions, large cities and small businesses will suffer more, and considered the impact of the reduced demand in world markets. The significance of the factors was tested by using regression analysis. Results. The results of our analysis have shown that economic activity in the country decreased by almost 25% due to the lockdown measures, and in some regions, the decline in production output was more than twofold. The urban economy proved to be more resilient to the restrictive measures compared to the average business activity in the country. Due to its diversified structure, the urban system has a wider adaptive capacity and survived the first period of the lockdown with less losses. SMEs, due to their flexibility and entrepreneurial initiative, supported the economies of their regions. Larger and more developed regions, all other things being equal, suffered more from the pandemic. This influence, however, was offset by other factors, and the expected trend towards spatial convergence was not observed. Conclusions. While all the previous crises that Russia experienced in the post-Soviet period were accompanied by decreasing regional discrepancies, during the COVID-19 pandemic, the spatial differences, on the contrary, increased.
{"title":"Economic effects of pandemic-related restrictions in Russia and their spatial heterogeneity","authors":"E. Kolomak","doi":"10.15826/recon.2020.6.3.013","DOIUrl":"https://doi.org/10.15826/recon.2020.6.3.013","url":null,"abstract":"Relevance. The spatial dimension of economic development is always in the focus of the political and research agenda. Regional disparities, along with different rates of the spread of the coronavirus pandemic and decentralization of restrictive measures, resulted in significant differences in Russian regions’ economic responses to the pandemic. The relevance of this study is determined by the need to investigate the reasons behind these regional discrepancies. Research objective. This study aims to analyze the economic consequences of the pandemic-related restrictions and the degree of the spatial heterogeneity of these effects in Russia. Data and methods. We rely on the Rosstat data to build the indicator of the level of economic activity in Russian regions in April-May 2020. We tested the hypothesis that developed regions, large cities and small businesses will suffer more, and considered the impact of the reduced demand in world markets. The significance of the factors was tested by using regression analysis. Results. The results of our analysis have shown that economic activity in the country decreased by almost 25% due to the lockdown measures, and in some regions, the decline in production output was more than twofold. The urban economy proved to be more resilient to the restrictive measures compared to the average business activity in the country. Due to its diversified structure, the urban system has a wider adaptive capacity and survived the first period of the lockdown with less losses. SMEs, due to their flexibility and entrepreneurial initiative, supported the economies of their regions. Larger and more developed regions, all other things being equal, suffered more from the pandemic. This influence, however, was offset by other factors, and the expected trend towards spatial convergence was not observed. Conclusions. While all the previous crises that Russia experienced in the post-Soviet period were accompanied by decreasing regional discrepancies, during the COVID-19 pandemic, the spatial differences, on the contrary, increased.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45435074","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 : 2020-11-09DOI: 10.15826/recon.2020.6.3.014
A. Urazbaeva, V. Voytenkov, R. Groznykh, Алина Уразбаева, Валентин Войтенков, Р. И. Грозных
Relevance. The coronavirus pandemic has both negative and less obvious positive effects on the world economy. In order to better understand these processes, it is necessary to examine the sectors that have shown growth against the general decline in production. Such sectors include the Internet and telecommunication services. Research objective. The purpose of this study is to model the impact of the pandemic and foreign companies on the value of shares of Russian tech companies. Data and methods. The study involves daily share price data of such American corporations as Google, PayPal, Netflix, Adobe, and the Russian company Yandex. Moreover, we used the dummy variable Covid-19. The econometric analysis was conducted by using vector autoregression (VAR). The direction of cause-and-effect relationships was investigated with the help of the Granger test, and the effect of single shocks, through impulse response functions (IRF). Results. A stable VAR model was built. The IRF graphs were used to describe the impact of the pandemic and the value of US. companies on Russian companies. Conclusions. The study shows that the 2020 pandemic has proven to be a positive shock for companies in the ICT sector, contributing to increased demand for their services and market capitalization. The pandemic has affected both Russian and foreign companies. The study has also found the influence of the American stock market on share prices in Russia. Russian companies reacted to changes in the American stock market with a lag of up to 10 days.
{"title":"The analysis of COVID-19 impact on the internet and telecommunications service sector through modelling the dependence of shares of Russian companies on the American stock market","authors":"A. Urazbaeva, V. Voytenkov, R. Groznykh, Алина Уразбаева, Валентин Войтенков, Р. И. Грозных","doi":"10.15826/recon.2020.6.3.014","DOIUrl":"https://doi.org/10.15826/recon.2020.6.3.014","url":null,"abstract":"Relevance. The coronavirus pandemic has both negative and less obvious positive effects on the world economy. In order to better understand these processes, it is necessary to examine the sectors that have shown growth against the general decline in production. Such sectors include the Internet and telecommunication services. Research objective. The purpose of this study is to model the impact of the pandemic and foreign companies on the value of shares of Russian tech companies. Data and methods. The study involves daily share price data of such American corporations as Google, PayPal, Netflix, Adobe, and the Russian company Yandex. Moreover, we used the dummy variable Covid-19. The econometric analysis was conducted by using vector autoregression (VAR). The direction of cause-and-effect relationships was investigated with the help of the Granger test, and the effect of single shocks, through impulse response functions (IRF). Results. A stable VAR model was built. The IRF graphs were used to describe the impact of the pandemic and the value of US. companies on Russian companies. Conclusions. The study shows that the 2020 pandemic has proven to be a positive shock for companies in the ICT sector, contributing to increased demand for their services and market capitalization. The pandemic has affected both Russian and foreign companies. The study has also found the influence of the American stock market on share prices in Russia. Russian companies reacted to changes in the American stock market with a lag of up to 10 days.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42692345","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 : 2020-11-09DOI: 10.15826/recon.2020.6.3.018
S. Kovács, B. Koos, A. Uzzoli, B. Páger, Ildikó Egyed
Relevance. The new coronavirus pandemic (COVID-19) has brought major changes to everyday life and economy in 2020. The impacts of the pandemic are still difficult to measure and interpret. This paper analyses the key socio-economic factors that shaped the course of the pandemic and its regional effects in Hungary. Research objective. The aim of this paper is to provide a secondary data-based analysis of regional disparities in Hungary as well as the implications of the coronavirus pandemic and the related policy responses. Data and methodology. The analysis consisted of the three stages: first, we processed the official epidemiologic data related to the coronavirus pandemic and the territorial patterns of infections as well as the data on the socio-economic impacts of the lockdown (on retail trade, employment, tourism, local governments’ revenues, etc). Second, we collected the data related to the socio-economic effects of the pandemic and revealed the territorial impacts of the crisis. Finally, we evaluated the government’s measures and interventions introduced in the first wave of the pandemic in terms of their efficiency. Results. Our results demonstrate that while the epicentre of the pandemic was the capital city and its surrounding area, the socio-economic impacts of containment measures implemented by the Hungarian government were felt across the whole country. In some areas, the lockdown measures could have been unreasonably tight as no reasonable justification for these restrictions was provided. Therefore, territorial monitoring and development of regionally differentiated policies are the main tasks in preparation for further waves of the pandemic. In our opinion, it is necessary to devise an action plan that would regulate the protocols of prevention and protection in connection with the regional focal points (hospitals, nursing homes, schools, etc.) and their immediate surroundings. Conclusions. Although territorial aspects have been taken into account by the government in their efforts to contain the pandemic in Hungary, they have been given significantly less attention in terms of socio-economic support. Thus, as the article makes clear, it is important to devise and implement regionally differentiated policies of containment as well as socio-economic protection measures.
{"title":"Regional effects of the COVID-19 pandemic and policy responses in Hungary","authors":"S. Kovács, B. Koos, A. Uzzoli, B. Páger, Ildikó Egyed","doi":"10.15826/recon.2020.6.3.018","DOIUrl":"https://doi.org/10.15826/recon.2020.6.3.018","url":null,"abstract":"Relevance. The new coronavirus pandemic (COVID-19) has brought major changes to everyday life and economy in 2020. The impacts of the pandemic are still difficult to measure and interpret. This paper analyses the key socio-economic factors that shaped the course of the pandemic and its regional effects in Hungary. Research objective. The aim of this paper is to provide a secondary data-based analysis of regional disparities in Hungary as well as the implications of the coronavirus pandemic and the related policy responses. Data and methodology. The analysis consisted of the three stages: first, we processed the official epidemiologic data related to the coronavirus pandemic and the territorial patterns of infections as well as the data on the socio-economic impacts of the lockdown (on retail trade, employment, tourism, local governments’ revenues, etc). Second, we collected the data related to the socio-economic effects of the pandemic and revealed the territorial impacts of the crisis. Finally, we evaluated the government’s measures and interventions introduced in the first wave of the pandemic in terms of their efficiency. Results. Our results demonstrate that while the epicentre of the pandemic was the capital city and its surrounding area, the socio-economic impacts of containment measures implemented by the Hungarian government were felt across the whole country. In some areas, the lockdown measures could have been unreasonably tight as no reasonable justification for these restrictions was provided. Therefore, territorial monitoring and development of regionally differentiated policies are the main tasks in preparation for further waves of the pandemic. In our opinion, it is necessary to devise an action plan that would regulate the protocols of prevention and protection in connection with the regional focal points (hospitals, nursing homes, schools, etc.) and their immediate surroundings. Conclusions. Although territorial aspects have been taken into account by the government in their efforts to contain the pandemic in Hungary, they have been given significantly less attention in terms of socio-economic support. Thus, as the article makes clear, it is important to devise and implement regionally differentiated policies of containment as well as socio-economic protection measures.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45162586","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 : 2020-05-04DOI: 10.15826/recon.2019.6.1.003
I. Turgel, L. Bozhko, Veronika T. Pandzhiyeva
Relevance. Faced with globalization challenges, large modern cities need to develop their competitive advantages. One source of such advantages is clustering of urban economy. Questions dealing with cluster-based policies and classification of clusters operating on the regional and national levels have attracted much scholarly attention while there is still a research gap regarding urban cluster policies and comparison of city-based clusters. Research objective. The purpose of this study is to analyze the legal framework of cluster policies in Russia and Kazakhstan and to describe the criteria for classification and comparison of city-based clusters. Data and methods. The study used methods of systemic and comparative analysis, formalized methods of analysis of regulatory acts. The selected criteria are universal and can be used for cluster analysis in different countries. We considered strategies for socio-economic development of large cities in Russia and Kazakhstan from the official websites of city administrations as well as the regulatory acts of specific cities. Results. In both countries, clusters play a significant role in the development strategies of territories. The Russian and Kazakh governments take similar measures to support cluster initiatives. The regulatory legal acts of both countries emphasize the allocation of subsidies and co-financing of regional programs and R&D in clusters. The process of cluster creation in Russia started later than in Kazakhstan but was also more intensive. A popular specialization for clusters in both countries is information technologies and communications, which corresponds to the goals set by the national governments. Conclusions. In both countries, the number of clusters in large cities is increasing annually. Typically, clusters have 11-50 participants. In both countries, there are clusters of different specialization. Strategies for socio-economic development serve as the main documents for devising cluster policies of cities. The practical significance of the study is that it proposes an approach to classification and comparison of clusters that can be used in further analysis and for identification of cluster policy priorities.
{"title":"Cluster policies of large cities in Russia and Kazakhstan","authors":"I. Turgel, L. Bozhko, Veronika T. Pandzhiyeva","doi":"10.15826/recon.2019.6.1.003","DOIUrl":"https://doi.org/10.15826/recon.2019.6.1.003","url":null,"abstract":"Relevance. Faced with globalization challenges, large modern cities need to develop their competitive advantages. One source of such advantages is clustering of urban economy. Questions dealing with cluster-based policies and classification of clusters operating on the regional and national levels have attracted much scholarly attention while there is still a research gap regarding urban cluster policies and comparison of city-based clusters. Research objective. The purpose of this study is to analyze the legal framework of cluster policies in Russia and Kazakhstan and to describe the criteria for classification and comparison of city-based clusters. Data and methods. The study used methods of systemic and comparative analysis, formalized methods of analysis of regulatory acts. The selected criteria are universal and can be used for cluster analysis in different countries. We considered strategies for socio-economic development of large cities in Russia and Kazakhstan from the official websites of city administrations as well as the regulatory acts of specific cities. Results. In both countries, clusters play a significant role in the development strategies of territories. The Russian and Kazakh governments take similar measures to support cluster initiatives. The regulatory legal acts of both countries emphasize the allocation of subsidies and co-financing of regional programs and R&D in clusters. The process of cluster creation in Russia started later than in Kazakhstan but was also more intensive. A popular specialization for clusters in both countries is information technologies and communications, which corresponds to the goals set by the national governments. Conclusions. In both countries, the number of clusters in large cities is increasing annually. Typically, clusters have 11-50 participants. In both countries, there are clusters of different specialization. Strategies for socio-economic development serve as the main documents for devising cluster policies of cities. The practical significance of the study is that it proposes an approach to classification and comparison of clusters that can be used in further analysis and for identification of cluster policy priorities.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42255794","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 : 2020-05-04DOI: 10.15826/recon.2019.6.1.005
R. Skokov, O. Brizhak
Research relevance. Consumption of addictive goods and its impact on the human capital is widely discussed in contemporary research literature, not only on the micro- and macro- but also on the meso-level. At the present stage of the ongoing transformations we are prompted to reassess current approaches to this problem and to re-evaluate its public significance; moreover, practical application of available research outcomes should also be reconsidered. In Russia, consumption of addictive goods is subject to significant regional variations determined by socio-economic and other factors. Research aim. The study is aimed at investigating the impact of consumption of addictive goods (alcohol) on the quality of Russian consumers' human capital and at building a system of indicators to estimate this impact. Data and methods. The study uses the methods of comparative analysis, expert estimation, ranking, and economic-statistical analysis, it also proposes a spatial approach to problems associated with regional variations in human capital of consumers of addictive goods. The study relies on the Russian and international research evidence; the data of the Federal State Statistics Service and its regional offices; expert estimates and the authors' own calculations. Results. The study demonstrates the connection between consumption of addictive goods and consumers' human capital. It also describes a system of statistical indicators that can be used for estimating the impact of alcohol consumption on human capital and the criteria such indicators should meet. Based on the proposed indicator set, the study analyzes and compares the trends in human capital deterioration on the regional and national levels. As a result of cross-regional analysis, regions with the highest and lowest figures of human capital deterioration are identified. Conclusions. As their addiction progresses, alcohol consumers face an increasing devaluation of their human capital. This parameter varies significantly across Russian regions due to a range of climatic, regional, and socio-economic factors, which should be taken into account when devising and implementing regional alcohol policies. The existing system of statistical observations uses a limited set of indicators that needs to be expanded to allow for a more comprehensive cross-regional analysis.
{"title":"Consumption of addictive goods in Russian regions and its impact on the quality of human capital","authors":"R. Skokov, O. Brizhak","doi":"10.15826/recon.2019.6.1.005","DOIUrl":"https://doi.org/10.15826/recon.2019.6.1.005","url":null,"abstract":"Research relevance. Consumption of addictive goods and its impact on the human capital is widely discussed in contemporary research literature, not only on the micro- and macro- but also on the meso-level. At the present stage of the ongoing transformations we are prompted to reassess current approaches to this problem and to re-evaluate its public significance; moreover, practical application of available research outcomes should also be reconsidered. In Russia, consumption of addictive goods is subject to significant regional variations determined by socio-economic and other factors. Research aim. The study is aimed at investigating the impact of consumption of addictive goods (alcohol) on the quality of Russian consumers' human capital and at building a system of indicators to estimate this impact. Data and methods. The study uses the methods of comparative analysis, expert estimation, ranking, and economic-statistical analysis, it also proposes a spatial approach to problems associated with regional variations in human capital of consumers of addictive goods. The study relies on the Russian and international research evidence; the data of the Federal State Statistics Service and its regional offices; expert estimates and the authors' own calculations. Results. The study demonstrates the connection between consumption of addictive goods and consumers' human capital. It also describes a system of statistical indicators that can be used for estimating the impact of alcohol consumption on human capital and the criteria such indicators should meet. Based on the proposed indicator set, the study analyzes and compares the trends in human capital deterioration on the regional and national levels. As a result of cross-regional analysis, regions with the highest and lowest figures of human capital deterioration are identified. Conclusions. As their addiction progresses, alcohol consumers face an increasing devaluation of their human capital. This parameter varies significantly across Russian regions due to a range of climatic, regional, and socio-economic factors, which should be taken into account when devising and implementing regional alcohol policies. The existing system of statistical observations uses a limited set of indicators that needs to be expanded to allow for a more comprehensive cross-regional analysis.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45134126","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 : 2020-05-04DOI: 10.15826/recon.2019.6.1.004
Young-Sang Choi, Bishkek Kyrgyzstan Communications
Research relevance. The article discusses the experience of South Korea in the sphere of smart city projects. The study's relevance is determined, on the one hand, by the role smart cities play in the creation of the new urban living space, in enhancement of urban economy and, on the other, by the need to analyze and systematize the best practices of smart city development. Research aim. The study describes the development of the 'smart city' concept in South Korea. Smart city is understood as a complex eco-system, which, on the one hand, comprises a range of technological and socio-economic processes and, on the other, involves such actors as government, corporations, research organizations and urban communities. Data and methodology. The study relies on methods of comparative and evolutionary analysis to analyze the concept of smart city and its structure by focusing on the case of South Korea, the world's renowned ICT leader. The study also provides cross-national comparisons of the experience of other developed Asian countries (Japan and China), which, like South Korea, are actively supporting building of smart cities on the state level. Results. The study describes the main stages in the development of the smart city concept in South Korea as well as the main types of smart city projects (pilot projects, research validation projects, and city restoration projects). The study identifies problems of planning, design and implementation of smart city projects and compares the relevant experience of South Korea, Japan and China. It is shown that although smart city projects in these countries were launched in approximately the same period, each of these countries has its own approach to smart cities and ways of their development. Conclusions. The key to Korea's success in smart city development lies in large-scale direct state support, public trust in the government and the application of an integrated approach to smart city development. At the current stage, smart city services not only provide enhanced comfort to city dwellers but also create more opportunities for their personal growth.
{"title":"Smart city development projects in the Republic of Korea","authors":"Young-Sang Choi, Bishkek Kyrgyzstan Communications","doi":"10.15826/recon.2019.6.1.004","DOIUrl":"https://doi.org/10.15826/recon.2019.6.1.004","url":null,"abstract":"Research relevance. The article discusses the experience of South Korea in the sphere of smart city projects. The study's relevance is determined, on the one hand, by the role smart cities play in the creation of the new urban living space, in enhancement of urban economy and, on the other, by the need to analyze and systematize the best practices of smart city development. Research aim. The study describes the development of the 'smart city' concept in South Korea. Smart city is understood as a complex eco-system, which, on the one hand, comprises a range of technological and socio-economic processes and, on the other, involves such actors as government, corporations, research organizations and urban communities. Data and methodology. The study relies on methods of comparative and evolutionary analysis to analyze the concept of smart city and its structure by focusing on the case of South Korea, the world's renowned ICT leader. The study also provides cross-national comparisons of the experience of other developed Asian countries (Japan and China), which, like South Korea, are actively supporting building of smart cities on the state level. Results. The study describes the main stages in the development of the smart city concept in South Korea as well as the main types of smart city projects (pilot projects, research validation projects, and city restoration projects). The study identifies problems of planning, design and implementation of smart city projects and compares the relevant experience of South Korea, Japan and China. It is shown that although smart city projects in these countries were launched in approximately the same period, each of these countries has its own approach to smart cities and ways of their development. Conclusions. The key to Korea's success in smart city development lies in large-scale direct state support, public trust in the government and the application of an integrated approach to smart city development. At the current stage, smart city services not only provide enhanced comfort to city dwellers but also create more opportunities for their personal growth.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43572925","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 : 2020-05-04DOI: 10.15826/recon.2019.6.1.001
E. Zinovyeva, N. Balynskaya, S. Koptyakova, Oksana O. Akhmetzianova
The relevance of this study stems from the fact that it analyzes the current situation on the mortgage market in Russia: the influence of macro-economic factors causes a fall in collateral value, dramatic increase in mortgage default and poor performance of the Agency for Housing Mortgage Lending (AHML). The study is aimed at investigating the current state of residential mortgage lending on the regional level in Russia by focusing on the case of the Ural Federal District. The study considers the interests of all the participants of this market: individual borrowers, state authorities, financial and credit institutions engaged in mortgage lending. The study analyzes statistical data on the primary residential mortgage market in the Ural Federal District provided by the Central Bank of the Russian Federation, Federal State Statistics Service and the AHML. Results. Modern approaches to mortgage system evaluation are compared in order to identify and systematize the key criteria and statistical indicators characterizing the current state of this form of lending relationships. The analysis also brings to light the negative trends in mortgage lending in the Ural Federal District. As a part of our further research, we are going to develop a procedure for evaluating the performance of a mortgage system.
{"title":"Analysis of the residential mortgage market in the Ural Federal District","authors":"E. Zinovyeva, N. Balynskaya, S. Koptyakova, Oksana O. Akhmetzianova","doi":"10.15826/recon.2019.6.1.001","DOIUrl":"https://doi.org/10.15826/recon.2019.6.1.001","url":null,"abstract":"The relevance of this study stems from the fact that it analyzes the current situation on the mortgage market in Russia: the influence of macro-economic factors causes a fall in collateral value, dramatic increase in mortgage default and poor performance of the Agency for Housing Mortgage Lending (AHML). The study is aimed at investigating the current state of residential mortgage lending on the regional level in Russia by focusing on the case of the Ural Federal District. The study considers the interests of all the participants of this market: individual borrowers, state authorities, financial and credit institutions engaged in mortgage lending. The study analyzes statistical data on the primary residential mortgage market in the Ural Federal District provided by the Central Bank of the Russian Federation, Federal State Statistics Service and the AHML. Results. Modern approaches to mortgage system evaluation are compared in order to identify and systematize the key criteria and statistical indicators characterizing the current state of this form of lending relationships. The analysis also brings to light the negative trends in mortgage lending in the Ural Federal District. As a part of our further research, we are going to develop a procedure for evaluating the performance of a mortgage system.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44169631","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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