Pub Date : 2020-05-04DOI: 10.15826/recon.2019.6.1.002
I. Naumov, A. Barybina
The relevance of research. Workforce quality is paramount to the development of innovative economy and socio-economic development of territorial systems. Not all regions, however, are able to train sufficient R&D personnel to meet the needs of their innovative economies. The lack of research talent can be compensated by establishing cooperative relationships with other territorial systems. Therefore, it is important to study the existing interregional interconnections in the development of research talent and to identify the key priorities in this sphere. The aim of the study is to demonstrate the relationship between the indicators of development of research talent in different regions and their innovative activity. Data and Methods. The study uses spatial econometric modeling tools and methods for calculating global and local spatial autocorrelation indices of Moran P. and their dispersion diagrams. The spatial autocorrelation was calculated by using a standardized matrix of distances along the roads between the regional administrative centers. As a result of the analysis, a close relationship was found between the indicators of development of research talent in Russian regions and their innovative activity. The constructed regression model based on spatial data lead us to the conclusion that efficient innovative development requires a pool of STEM talent in the regions, which means that it is necessary to provide sufficient opportunities for training and education in this sphere. Conclusions. The study of the interconnections between the regions using the improved method of spatial autocorrelation of P. Moran revealed a cluster of closely interconnected regions (Moscow - St. Petersburg - Moscow region - Nizhny Novgorod region - Ryazan region - Ivanovo region - Tver region - Kostroma region - Tula region) and three potential clusters: ‘Volga’, ‘Ural’, and ‘Siberia’.
{"title":"The role of interregional relationships in research talent development","authors":"I. Naumov, A. Barybina","doi":"10.15826/recon.2019.6.1.002","DOIUrl":"https://doi.org/10.15826/recon.2019.6.1.002","url":null,"abstract":"The relevance of research. Workforce quality is paramount to the development of innovative economy and socio-economic development of territorial systems. Not all regions, however, are able to train sufficient R&D personnel to meet the needs of their innovative economies. The lack of research talent can be compensated by establishing cooperative relationships with other territorial systems. Therefore, it is important to study the existing interregional interconnections in the development of research talent and to identify the key priorities in this sphere. The aim of the study is to demonstrate the relationship between the indicators of development of research talent in different regions and their innovative activity. Data and Methods. The study uses spatial econometric modeling tools and methods for calculating global and local spatial autocorrelation indices of Moran P. and their dispersion diagrams. The spatial autocorrelation was calculated by using a standardized matrix of distances along the roads between the regional administrative centers. As a result of the analysis, a close relationship was found between the indicators of development of research talent in Russian regions and their innovative activity. The constructed regression model based on spatial data lead us to the conclusion that efficient innovative development requires a pool of STEM talent in the regions, which means that it is necessary to provide sufficient opportunities for training and education in this sphere. Conclusions. The study of the interconnections between the regions using the improved method of spatial autocorrelation of P. Moran revealed a cluster of closely interconnected regions (Moscow - St. Petersburg - Moscow region - Nizhny Novgorod region - Ryazan region - Ivanovo region - Tver region - Kostroma region - Tula region) and three potential clusters: ‘Volga’, ‘Ural’, and ‘Siberia’.","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":"42866036","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 : 2020-01-01DOI: 10.15826/recon.2020.6.3.012
Barraí Hennebry
Relevance. Much research was undertaken on regional economic resilience after the financial crisis of 2008. The current crisis caused by Covid19 provides an opportunity to understand further the nature of regional economic resilience. It also provides an opportunity to analyse the urban-rural divide of economic resilience for two recessions. Research objective. There are two main objectives of this study Firstly, to understand if resilience to one recession provides a good indication of resilience to a subsequent recession. The second aim is to understand the urban-rural differences in regional economic resilience in Ireland. Data and methods. This is a quantitative study which uses data from the Irish Central Statistics Office regarding unemployment and population distribution. To understand economic resilience a sensitivity index is used and to check for correlation the Pearson coefficient is used. Results. Results show that there is no correlation between resilience to the financial crisis and resilience to the Covid19 crisis. Population distribution was not a determinant of resilience to the financial crisis. However, population distribution was a determinant of resilience to the Covid19 crisis. Counties with high population in ‘independent urban towns’ or ‘rural areas with moderate urban influence’ were more resilient while counties with high population in ‘satellite urban towns’ or ‘rural areas with high urban influence’ were more vulnerable. Conclusions. Economic resilience to one recession is not a good indication of resilience to future recessions. Counties with population in urban centres or more reliant on urban areas were less resilient to the Covid19 crisis.
{"title":"The economic resilience of Irish counties for subsequent recessions and the impact of population distribution on resilience","authors":"Barraí Hennebry","doi":"10.15826/recon.2020.6.3.012","DOIUrl":"https://doi.org/10.15826/recon.2020.6.3.012","url":null,"abstract":"Relevance. Much research was undertaken on regional economic resilience after the financial crisis of 2008. The current crisis caused by Covid19 provides an opportunity to understand further the nature of regional economic resilience. It also provides an opportunity to analyse the urban-rural divide of economic resilience for two recessions. Research objective. There are two main objectives of this study Firstly, to understand if resilience to one recession provides a good indication of resilience to a subsequent recession. The second aim is to understand the urban-rural differences in regional economic resilience in Ireland. Data and methods. This is a quantitative study which uses data from the Irish Central Statistics Office regarding unemployment and population distribution. To understand economic resilience a sensitivity index is used and to check for correlation the Pearson coefficient is used. Results. Results show that there is no correlation between resilience to the financial crisis and resilience to the Covid19 crisis. Population distribution was not a determinant of resilience to the financial crisis. However, population distribution was a determinant of resilience to the Covid19 crisis. Counties with high population in ‘independent urban towns’ or ‘rural areas with moderate urban influence’ were more resilient while counties with high population in ‘satellite urban towns’ or ‘rural areas with high urban influence’ were more vulnerable. Conclusions. Economic resilience to one recession is not a good indication of resilience to future recessions. Counties with population in urban centres or more reliant on urban areas were less resilient to the Covid19 crisis.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67261734","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 : 2020-01-01DOI: 10.15826/recon.2020.6.3.016
M. Voskanyan
Relevance. The world will certainly remember 2020 as a serious challenge in all aspects of human life. At the same time, while developed countries, despite the severity of the economic crisis, have sufficient reserves to help their economies go through the recovery growth, developing economies turned out to be the most vulnerable. This article describes the consequences of the COVID-19 pandemic for the Armenian economy from the point of view of the most critical factors that have determined the country’s economic development over the past decade. Research objective. The key goal of the study was to try to identify and assess the economic consequences of the COVID-19 pandemic in Armenia. Data and methods. The study surveys macroeconomic indicators in Armenia over the past six months. The analysis is based on the statistical data characterizing the economic situation in Armenia and takes into account the key sectors of the economy as well as its weaknesses. Results. Some sectors of the Armenian economy will be very vulnerable to the crisis resulting from the COVID-19 pandemic. Conclusion. The main conclusion of the study is that at the moment the economic system of Armenia is at the stage of stagnation and, in the light of the pandemic, will move to the stage of economic recession in the medium term.
{"title":"Economic impact of COVID-19 pandemic in Armenia","authors":"M. Voskanyan","doi":"10.15826/recon.2020.6.3.016","DOIUrl":"https://doi.org/10.15826/recon.2020.6.3.016","url":null,"abstract":"Relevance. The world will certainly remember 2020 as a serious challenge in all aspects of human life. At the same time, while developed countries, despite the severity of the economic crisis, have sufficient reserves to help their economies go through the recovery growth, developing economies turned out to be the most vulnerable. This article describes the consequences of the COVID-19 pandemic for the Armenian economy from the point of view of the most critical factors that have determined the country’s economic development over the past decade. Research objective. The key goal of the study was to try to identify and assess the economic consequences of the COVID-19 pandemic in Armenia. Data and methods. The study surveys macroeconomic indicators in Armenia over the past six months. The analysis is based on the statistical data characterizing the economic situation in Armenia and takes into account the key sectors of the economy as well as its weaknesses. Results. Some sectors of the Armenian economy will be very vulnerable to the crisis resulting from the COVID-19 pandemic. Conclusion. The main conclusion of the study is that at the moment the economic system of Armenia is at the stage of stagnation and, in the light of the pandemic, will move to the stage of economic recession in the medium term.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67261884","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 : 2020-01-01DOI: 10.15826/recon.2020.6.3.017
Magdalena Szmytkowska
Relevance. The coronavirus pandemic has become the most unexpected global phenomenon in 2020, with a number of equally unexpected consequences. The explosive spread of Covid-19 is mostly perceived the negative light, especially in the context of the threat it posed to the health and lives of millions of people. However, it has been noticed that as a result of the pandemic and lockdown, some negative socio-economic processes have been slowed down. Thus, some of the consequences of the pandemic and lockdown can be perceived as new development opportunities. Research objective. This article aims to describe the new phenomena and processes caused by the pandemic in Polish cities which may have a positive impact on urban development. We also intend to indicate potential directions and development opportunities in cities as a result of the pandemic experience. Data and methods. Methodologically, the work combines two main research methods. First, we analysed the research literature and materials of selected Polish and foreign media dealing with the pandemic and its impact on cities, especially in the spatial and social dimensions. Then we considered the available quantitative data describing the current epidemiological situation in Polish regions. Results and conclusions. Research on the development of Covid-19 in Polish cities is difficult because the official data published daily are aggregated only on the regional level. We have found the following consequences of the pandemic that can be considered as positive: relief from overtourism and speculation on the housing rental market, revival of urban nature, revival of the importance of local and regional identity and goods and resurgence of human solidarity and support for entrepreneurs. The development potential of cities in the post-Covid-19 era should be considered in the context of the following dilemmas and concepts: densification vs. disaggregation, concept of a 15-minute city, city as a system and the need for a participatory urban policy.
{"title":"Consequences of the pandemic and new development opportunities for Polish cities in the (post-)COVID-19 era","authors":"Magdalena Szmytkowska","doi":"10.15826/recon.2020.6.3.017","DOIUrl":"https://doi.org/10.15826/recon.2020.6.3.017","url":null,"abstract":"Relevance. The coronavirus pandemic has become the most unexpected global phenomenon in 2020, with a number of equally unexpected consequences. The explosive spread of Covid-19 is mostly perceived the negative light, especially in the context of the threat it posed to the health and lives of millions of people. However, it has been noticed that as a result of the pandemic and lockdown, some negative socio-economic processes have been slowed down. Thus, some of the consequences of the pandemic and lockdown can be perceived as new development opportunities. Research objective. This article aims to describe the new phenomena and processes caused by the pandemic in Polish cities which may have a positive impact on urban development. We also intend to indicate potential directions and development opportunities in cities as a result of the pandemic experience. Data and methods. Methodologically, the work combines two main research methods. First, we analysed the research literature and materials of selected Polish and foreign media dealing with the pandemic and its impact on cities, especially in the spatial and social dimensions. Then we considered the available quantitative data describing the current epidemiological situation in Polish regions. Results and conclusions. Research on the development of Covid-19 in Polish cities is difficult because the official data published daily are aggregated only on the regional level. We have found the following consequences of the pandemic that can be considered as positive: relief from overtourism and speculation on the housing rental market, revival of urban nature, revival of the importance of local and regional identity and goods and resurgence of human solidarity and support for entrepreneurs. The development potential of cities in the post-Covid-19 era should be considered in the context of the following dilemmas and concepts: densification vs. disaggregation, concept of a 15-minute city, city as a system and the need for a participatory urban policy.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67261476","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 : 2020-01-01DOI: 10.15826/recon.2020.6.3.011
E. V. Sinitsyn, A. Tolmachev, A. Ovchinnikov, Ltd. Datatel-Ural
Relevance. The worldwide spread of a new infection SARS-CoV-2 makes relevant the analysis of the socio-economic factors that make modern civilization vulnerable to previously unknown diseases. In this regard, the development of mathematical models describing the spread of pandemics like COVID-19 and the identification of socio-economic factors affecting the epidemiological situation in regions is an important research task. Research objective. This study seeks to develop a mathematical model describing the spread of COVID-19, thus enabling the analysis of the main characteristics of the spread of the disease and assessment of the impact of various socio-economic factors. Data and methods. The study relies on the official statistical data on the pandemic presented on coronavirus sites in Russia and other countries, Yandex DataLens dataset service, as well as data from the Federal State Statistics Service. The data were analyzed by using a correlation analysis of COVID-19 incidence parameters and socio-economic characteristics of regions; multivariate regression – to determine the parameters of the probabilistic mathematical model of the spread of the pandemic proposed by the authors; clustering – to group the regions with similar incidence characteristics and exclude the regions with abnormal parameters from the analysis. Results. A mathematical model of the spread of the COVID-19 pandemic is proposed. The parameters of this model are determined on the basis of official statistics on morbidity, in particular the frequency (probability) of infections, the reliability of the disease detection, the probability density of the disease duration, and its average value. Based on the specificity of COVID-19, Russia regions are clustered according to disease-related characteristics. For clusters that include regions with typical disease-related characteristics, a correlation analysis of the relationship between the number of cases and the rate of infection ( with the socio-economic characteristics of the region is carried out. The most significant factors associated with the parameters of the pandemic are identified. Conclusions. The proposed mathematical model of the pandemic and the established correlations between the parameters of the epidemiological situation and the socio-economic characteristics of the regions can be used to make informed decisions regarding the key risk factors and their impact on the course of the pandemic.
{"title":"Socio-economic factors in the spread of SARS-COV-2 across Russian regions","authors":"E. V. Sinitsyn, A. Tolmachev, A. Ovchinnikov, Ltd. Datatel-Ural","doi":"10.15826/recon.2020.6.3.011","DOIUrl":"https://doi.org/10.15826/recon.2020.6.3.011","url":null,"abstract":"Relevance. The worldwide spread of a new infection SARS-CoV-2 makes relevant the analysis of the socio-economic factors that make modern civilization vulnerable to previously unknown diseases. In this regard, the development of mathematical models describing the spread of pandemics like COVID-19 and the identification of socio-economic factors affecting the epidemiological situation in regions is an important research task. Research objective. This study seeks to develop a mathematical model describing the spread of COVID-19, thus enabling the analysis of the main characteristics of the spread of the disease and assessment of the impact of various socio-economic factors. Data and methods. The study relies on the official statistical data on the pandemic presented on coronavirus sites in Russia and other countries, Yandex DataLens dataset service, as well as data from the Federal State Statistics Service. The data were analyzed by using a correlation analysis of COVID-19 incidence parameters and socio-economic characteristics of regions; multivariate regression – to determine the parameters of the probabilistic mathematical model of the spread of the pandemic proposed by the authors; clustering – to group the regions with similar incidence characteristics and exclude the regions with abnormal parameters from the analysis. Results. A mathematical model of the spread of the COVID-19 pandemic is proposed. The parameters of this model are determined on the basis of official statistics on morbidity, in particular the frequency (probability) of infections, the reliability of the disease detection, the probability density of the disease duration, and its average value. Based on the specificity of COVID-19, Russia regions are clustered according to disease-related characteristics. For clusters that include regions with typical disease-related characteristics, a correlation analysis of the relationship between the number of cases and the rate of infection ( with the socio-economic characteristics of the region is carried out. The most significant factors associated with the parameters of the pandemic are identified. Conclusions. The proposed mathematical model of the pandemic and the established correlations between the parameters of the epidemiological situation and the socio-economic characteristics of the regions can be used to make informed decisions regarding the key risk factors and their impact on the course of the pandemic.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67261677","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 : 2019-12-31DOI: 10.15826/RECON.2019.5.4.019
I. Lebedeva
The article discusses the current situation in the container shipping market and the terminal infrastructure in the Black Sea region. The analysis is based on the container fleet database accumulated by the author. These data are used for making observations and predictions and drawing conclusions about the dynamics of the marine transportation market. The methodological framework comprises theoretical, empirical and mathematical methods. The comparative analysis of container services of different Russian terminals and ports has shown that the market is now undergoing major transformations and suffers from a considerable imbalance due to the rapid growth in deadweight tonnage and the insufficient capacity of the infrastructure, which means that it is unable to keep up with the rising demand. The excess of deadweight tonnage and the shortage of the necessary equipment leads to chronic bottlenecks in cargo handling, cargo clearance and so on. To address these problems, it is proposed to explore the opportunities provided by the integration of public-private partnerships into the service structure of maritime transport. By focusing on the case of the Russian port of Novorossyisk, the article demonstrates that public-private partnerships are able to enhance the efficiency of cargo-handling operations of container lines in the Black Sea region.
{"title":"Public-private partnerships and their role in enhancing the cargo handling efficiency of container lines in the Black sea","authors":"I. Lebedeva","doi":"10.15826/RECON.2019.5.4.019","DOIUrl":"https://doi.org/10.15826/RECON.2019.5.4.019","url":null,"abstract":"The article discusses the current situation in the container shipping market and the terminal infrastructure in the Black Sea region. The analysis is based on the container fleet database accumulated by the author. These data are used for making observations and predictions and drawing conclusions about the dynamics of the marine transportation market. The methodological framework comprises theoretical, empirical and mathematical methods. The comparative analysis of container services of different Russian terminals and ports has shown that the market is now undergoing major transformations and suffers from a considerable imbalance due to the rapid growth in deadweight tonnage and the insufficient capacity of the infrastructure, which means that it is unable to keep up with the rising demand. The excess of deadweight tonnage and the shortage of the necessary equipment leads to chronic bottlenecks in cargo handling, cargo clearance and so on. To address these problems, it is proposed to explore the opportunities provided by the integration of public-private partnerships into the service structure of maritime transport. By focusing on the case of the Russian port of Novorossyisk, the article demonstrates that public-private partnerships are able to enhance the efficiency of cargo-handling operations of container lines in the Black Sea region.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41366787","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 : 2019-12-31DOI: 10.15826/RECON.2019.5.4.017
I. Golova, A. Sukhovey
This article discusses ‘green economy’ as a crucial principle of regional socio-economic de-velopment at its current stage. In the Russian context, this principle is particularly relevant in the light of the catastrophic increase in pollution of the human environment and habitat. ‘Green’ economy fo-cuses on modernization of production to ensure its sustainability and restoration of human habitat. The empirical part of the study deals with the social, economic and, above all, environmental problems (resource depletion, pollution, increased health risks) faced by older industrial regions in the Urals (Sverdlovsk, Chelyabinsk and Kurgan regions). These regions are now struggling with the decline of their key industries, such as mining and metallurgy. It is shown that the problems they cur-rently face largely stem from the orientation of the Russian economy towards raw material exports. The article also analyzes the innovation and technological potential of these regions and their priori-ties of socio-economic development. It is shown that their potential (e.g. human capital) is sufficient to modernize their economies. Some recommendations are formulated for these regions’ more efficient transition to the ‘green economy’. These include the development of high-tech industries and eco-friendly technologies, introduction of modern environmental standards of economic activity as the basis of modern regional socio-economic systems.
{"title":"‘Green economy’ as a strategy of modernization of older industrial areas in the Urals","authors":"I. Golova, A. Sukhovey","doi":"10.15826/RECON.2019.5.4.017","DOIUrl":"https://doi.org/10.15826/RECON.2019.5.4.017","url":null,"abstract":"This article discusses ‘green economy’ as a crucial principle of regional socio-economic de-velopment at its current stage. In the Russian context, this principle is particularly relevant in the light of the catastrophic increase in pollution of the human environment and habitat. ‘Green’ economy fo-cuses on modernization of production to ensure its sustainability and restoration of human habitat. The empirical part of the study deals with the social, economic and, above all, environmental problems (resource depletion, pollution, increased health risks) faced by older industrial regions in the Urals (Sverdlovsk, Chelyabinsk and Kurgan regions). These regions are now struggling with the decline of their key industries, such as mining and metallurgy. It is shown that the problems they cur-rently face largely stem from the orientation of the Russian economy towards raw material exports. The article also analyzes the innovation and technological potential of these regions and their priori-ties of socio-economic development. It is shown that their potential (e.g. human capital) is sufficient to modernize their economies. Some recommendations are formulated for these regions’ more efficient transition to the ‘green economy’. These include the development of high-tech industries and eco-friendly technologies, introduction of modern environmental standards of economic activity as the basis of modern regional socio-economic systems.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49454582","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 : 2019-12-31DOI: 10.15826/RECON.2019.5.4.018
D. Fraymovich, M. A. Gundorova, Z. V. Mischenko, Svetlana I. Totmyanina, A. Panzabekova
The article discusses the resource potential of Russian federal districts involved in processes of modernization. The theoretical framework draws from Russian and international studies of economic potential, stability and efficiency in regional development and regional imbalances. Methodologically, the research relies on a series of relative indicators of innovation, which can be used to measure federal districts' modernization potential by applying methods of mathematical statistics. The proposed set of criteria allows us to take into consideration both the current situation and the dynamics of innovation development in Russian regions. The selected indicators characterize the returns from innovation investment in socio-economic systems, the degree of regional differentiation within districts and trends of regional development regarding the efficiency of innovation processes. The proposed approach can be used to measure the efficiency of human capital use. To test the above-described methodology, we decided to focus on the Central Federal District, which has a significant resource potential necessary to meet the demands of intensive modernization. Statistical comparison of the actual and limit values has revealed significant underused resources in this district. These resources can be accessed by stimulating the lagging regions. The described methods and results of this study can be used by research organizations, higher education institutions, regional authorities and policy-makers in the process of preparation, adjustment and monitoring of strategic programs of socio-economic development.
{"title":"Estimation of modernization potential of Russian federal districts","authors":"D. Fraymovich, M. A. Gundorova, Z. V. Mischenko, Svetlana I. Totmyanina, A. Panzabekova","doi":"10.15826/RECON.2019.5.4.018","DOIUrl":"https://doi.org/10.15826/RECON.2019.5.4.018","url":null,"abstract":"The article discusses the resource potential of Russian federal districts involved in processes of modernization. The theoretical framework draws from Russian and international studies of economic potential, stability and efficiency in regional development and regional imbalances. Methodologically, the research relies on a series of relative indicators of innovation, which can be used to measure federal districts' modernization potential by applying methods of mathematical statistics. The proposed set of criteria allows us to take into consideration both the current situation and the dynamics of innovation development in Russian regions. The selected indicators characterize the returns from innovation investment in socio-economic systems, the degree of regional differentiation within districts and trends of regional development regarding the efficiency of innovation processes. The proposed approach can be used to measure the efficiency of human capital use. To test the above-described methodology, we decided to focus on the Central Federal District, which has a significant resource potential necessary to meet the demands of intensive modernization. Statistical comparison of the actual and limit values has revealed significant underused resources in this district. These resources can be accessed by stimulating the lagging regions. The described methods and results of this study can be used by research organizations, higher education institutions, regional authorities and policy-makers in the process of preparation, adjustment and monitoring of strategic programs of socio-economic development.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47413798","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 : 2019-12-31DOI: 10.15826/RECON.2019.5.4.016
Julia G. Lavrikova, A. Suvorova
The article discusses the correlation between the localization of specific infrastructure objects within a region and characteristics of this region's territorial development. Conceptually the study is grounded in the theory of regional economics, spatial analysis and modelling and uses the tools of spatial autocorrelation analysis, such as the global and local Moran's I, and map-based spatial analysis. The settlement system of Sverdlovsk region (Russia) is considered as a key characteristic of its territorial development and the analysis shows the correlation between settlement patterns and the distribution of certain objects of social infrastructure (places of attraction) across the region’s territory. Access to infrastructure is an important factor which attracts people to this or that municipality. However, the key parameter that determines the spatial aspects of infrastructure distribution in the region is the emergence and development of the factors underlying this process. The article demonstrates that the localization of infrastructure objects built to generate economic effects and bring profit to their developers to a greater extent correlates with the prospective transformations of the settlement system (primarily agglomeration processes) rather than with its current characteristics (such correlation is more typical of the infrastructure objects specifically intended to address social issues). These research findings can be used by policy-makers for setting priorities of regional development, which would shape the spatial transformations of the territory.
{"title":"Spatial aspects of regional infrastructure distribution (the case of Sverdlovsk region)","authors":"Julia G. Lavrikova, A. Suvorova","doi":"10.15826/RECON.2019.5.4.016","DOIUrl":"https://doi.org/10.15826/RECON.2019.5.4.016","url":null,"abstract":"The article discusses the correlation between the localization of specific infrastructure objects within a region and characteristics of this region's territorial development. Conceptually the study is grounded in the theory of regional economics, spatial analysis and modelling and uses the tools of spatial autocorrelation analysis, such as the global and local Moran's I, and map-based spatial analysis. The settlement system of Sverdlovsk region (Russia) is considered as a key characteristic of its territorial development and the analysis shows the correlation between settlement patterns and the distribution of certain objects of social infrastructure (places of attraction) across the region’s territory. Access to infrastructure is an important factor which attracts people to this or that municipality. However, the key parameter that determines the spatial aspects of infrastructure distribution in the region is the emergence and development of the factors underlying this process. The article demonstrates that the localization of infrastructure objects built to generate economic effects and bring profit to their developers to a greater extent correlates with the prospective transformations of the settlement system (primarily agglomeration processes) rather than with its current characteristics (such correlation is more typical of the infrastructure objects specifically intended to address social issues). These research findings can be used by policy-makers for setting priorities of regional development, which would shape the spatial transformations of the territory.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48770998","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 : 2019-12-31DOI: 10.15826/RECON.2019.5.4.020
Dika Safitri, L. Bespalova, Febry Wijayanti
Indonesia is an archipelago country which has a large number of coastal areas, including Surabaya City. This part of the country, in particular its eastern areas, was affected by changes in land use – more land is now occupied by farms and residential areas. Another important type of land use in Surabaya is the ponds used for fish farming. This research aims to prove that the change of land use in Surabaya affects the socio-economy of the coastal area. This research uses the quantitative approach and descriptive statistic method. It shows that the increase in the number of ponds in Surabaya has not affected the growth in the number of fishermen while the amount and the value of fish production increased significantly due to marine fishing. Since most of the ponds in Surabaya are managed traditionally, they are unable to ensure a high output. Therefore, the majority of the community of Parmubaya in the east coast of Surabaya would like to change the function of ponds but are impeded to dos o by the legal regulations due to the special status of this area. Consequently, the optimal use of ponds in Surabaya would be to train fishermen, fish farmers, and representatives of other related professions.
{"title":"Changes in Land Use in Eastern Surabaya, Indonesia, and their Impact on Coastal Society and Aquaculture","authors":"Dika Safitri, L. Bespalova, Febry Wijayanti","doi":"10.15826/RECON.2019.5.4.020","DOIUrl":"https://doi.org/10.15826/RECON.2019.5.4.020","url":null,"abstract":"Indonesia is an archipelago country which has a large number of coastal areas, including Surabaya City. This part of the country, in particular its eastern areas, was affected by changes in land use – more land is now occupied by farms and residential areas. Another important type of land use in Surabaya is the ponds used for fish farming. This research aims to prove that the change of land use in Surabaya affects the socio-economy of the coastal area. This research uses the quantitative approach and descriptive statistic method. It shows that the increase in the number of ponds in Surabaya has not affected the growth in the number of fishermen while the amount and the value of fish production increased significantly due to marine fishing. Since most of the ponds in Surabaya are managed traditionally, they are unable to ensure a high output. Therefore, the majority of the community of Parmubaya in the east coast of Surabaya would like to change the function of ponds but are impeded to dos o by the legal regulations due to the special status of this area. Consequently, the optimal use of ponds in Surabaya would be to train fishermen, fish farmers, and representatives of other related professions.","PeriodicalId":33206,"journal":{"name":"REconomy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47261548","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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