Pub Date : 2021-07-05DOI: 10.29141/2658-5081-2021-22-2-2
M. Kireeva, Irina Pavlenko
{"title":"Methodological approach to assessing the resource potential of a territory for the domestic tourism development","authors":"M. Kireeva, Irina Pavlenko","doi":"10.29141/2658-5081-2021-22-2-2","DOIUrl":"https://doi.org/10.29141/2658-5081-2021-22-2-2","url":null,"abstract":"","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42284961","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 : 2021-04-01DOI: 10.29141/2658-5081-2021-22-1-1
E. Animitsa, Yakov P. Silin
. Addressing specific aspects of municipalities’ functioning as basic cells of territorial organisation of production and living activities is a marked research trend. The paper consid‑ ers the issues of genesis and development of theoretical and methodological preconditions for municipal economics growing into an independent branch of economics. The methodology of the research is the paradigmatic approach to the reconstruction of theoretical knowledge devel‑ oped by Thomas Kuhn. The subject of the study is conceptual and empirical facts, factors and conditions, which favoured the formation of municipal economics. The methods include taxo‑ nomic approach and instrumental analysis that allow describing and explaining the transfor‑ mation of the essential characteristics of municipal economy as a chorological concept, which means it focuses on the uniqueness of each territory, targets endogenous development based on the active involvement of local assets and exploiting local potential with the attraction of external factors. The research proves that municipal economics is currently at the periphery of the hard core of regional economics and just starts to move out of the pre‑paradigm period. Obtained theoretical, methodological, empirical results create a possibility to systematise scien‑ tific findings in the field of municipal economics and identify directions for further research to thicken its paradigmatic foundations and turning into a mature discipline.
{"title":"The outlines of paradigmatic foundations in municipal economics","authors":"E. Animitsa, Yakov P. Silin","doi":"10.29141/2658-5081-2021-22-1-1","DOIUrl":"https://doi.org/10.29141/2658-5081-2021-22-1-1","url":null,"abstract":". Addressing specific aspects of municipalities’ functioning as basic cells of territorial organisation of production and living activities is a marked research trend. The paper consid‑ ers the issues of genesis and development of theoretical and methodological preconditions for municipal economics growing into an independent branch of economics. The methodology of the research is the paradigmatic approach to the reconstruction of theoretical knowledge devel‑ oped by Thomas Kuhn. The subject of the study is conceptual and empirical facts, factors and conditions, which favoured the formation of municipal economics. The methods include taxo‑ nomic approach and instrumental analysis that allow describing and explaining the transfor‑ mation of the essential characteristics of municipal economy as a chorological concept, which means it focuses on the uniqueness of each territory, targets endogenous development based on the active involvement of local assets and exploiting local potential with the attraction of external factors. The research proves that municipal economics is currently at the periphery of the hard core of regional economics and just starts to move out of the pre‑paradigm period. Obtained theoretical, methodological, empirical results create a possibility to systematise scien‑ tific findings in the field of municipal economics and identify directions for further research to thicken its paradigmatic foundations and turning into a mature discipline.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42193931","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 : 2021-01-12DOI: 10.29141/10.29141/2658-5081-2020-21-4-4
Viktor Ivanitsk, L. Petrenko
The strengthening of globalisation processes together with the climate change, the slowdown of the world economy, and growing income inequality have a profound impact on the transformation of the global economic and socio-political landscape and make the theme of sustainable development progressively more relevant. The environmental trend within the humancentered trajectory of civilization affects the financial sphere through the introduction of the Environmental, Social, and Governance (ESG) criteria in financial decision-making, creation of appropriate institutions and accumulation of financial resources, as well as transformation of financial systems’ functions. Against a background of these trends, responsible investment, or ESG investing, which takes into account environmental, social and managerial factors when choosing investment strategies, receives a significant boost. The aim of the research is to formulate new approaches to expanding responsible investment in the economy in the context of developing sustainable finance. The methodological basis of the research includes the concepts of sustainable development, finance and investment. The study uses a dialectical method to investigate the dynamics of economic phenomena, their interrelation and interdependence; and a system approach to the object of research implemented through graphic representation, grouping and comparison, analysis and synthesis. The paper summarises the theory and practice of responsible investment, examines the trends in the responsible investment market as well as its peculiarities. The authors prove the need to encourage responsible investment within the sustainable finance framework by removing information and structural restrictions. This will ensure the development of responsible investment tools and gain greater reputational advantages for companies. The authors produce recommendations for organising this process, in particular, to employ international practices and adopt the corresponding government policy.
{"title":"Development of responsible investment within the concept of sustainable finance","authors":"Viktor Ivanitsk, L. Petrenko","doi":"10.29141/10.29141/2658-5081-2020-21-4-4","DOIUrl":"https://doi.org/10.29141/10.29141/2658-5081-2020-21-4-4","url":null,"abstract":"The strengthening of globalisation processes together with the climate change, the slowdown of the world economy, and growing income inequality have a profound impact on the transformation of the global economic and socio-political landscape and make the theme of sustainable development progressively more relevant. The environmental trend within the humancentered trajectory of civilization affects the financial sphere through the introduction of the Environmental, Social, and Governance (ESG) criteria in financial decision-making, creation of appropriate institutions and accumulation of financial resources, as well as transformation of financial systems’ functions. Against a background of these trends, responsible investment, or ESG investing, which takes into account environmental, social and managerial factors when choosing investment strategies, receives a significant boost. The aim of the research is to formulate new approaches to expanding responsible investment in the economy in the context of developing sustainable finance. The methodological basis of the research includes the concepts of sustainable development, finance and investment. The study uses a dialectical method to investigate the dynamics of economic phenomena, their interrelation and interdependence; and a system approach to the object of research implemented through graphic representation, grouping and comparison, analysis and synthesis. The paper summarises the theory and practice of responsible investment, examines the trends in the responsible investment market as well as its peculiarities. The authors prove the need to encourage responsible investment within the sustainable finance framework by removing information and structural restrictions. This will ensure the development of responsible investment tools and gain greater reputational advantages for companies. The authors produce recommendations for organising this process, in particular, to employ international practices and adopt the corresponding government policy.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44729160","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 : 2020-10-07DOI: 10.29141/2658-5081-2020-21-3-3
V. Akberdina
The Strategy for spatial development of the Russian Federation for the period up to 2025, which relies on the identification of effective specialisations, does not allow unambigu ously recognising industrial regions and forming approaches to assess their role in ensuring the national security. The paper focuses on the problem of identification of industrially devel oped regions in the context of spatial, scientific, technological and industrial development of the country. The research builds on a set of methodological approaches to the identification of industry-oriented regions, which enables the author to distinguish between two groups of classi fications: the ones based on the structural approach and the ones using industrial specialisation. The structural approach is one of the most widely applied for classifying regions and identify ing industrial-oriented regions among them. The author proposes a multi-criteria classification method, which also is based on the evaluation of the share of industry and manufacturing in GRP, as well as includes a number of additional classification criteria (GRP per capita, fixed capital investment per capita, the share of manufacturing and extractive industries in industry, etc.). Applying the multi-criteria classification, the author identifies the industrially developed regions of Russia and clarifies their role in ensuring the national security. The researcher as sesses the potential for new industrialisation in industrially developed regions on the basis of the high-tech and knowledge-intensive industries in GRP and the volume of domestic research and development expenditures. The theoretical and practical significance of the research lies in justification of the need for optimal choice of priorities for industrial development in the spatial context.
{"title":"Multifunctional role of industrially developed regions in the Russian economy","authors":"V. Akberdina","doi":"10.29141/2658-5081-2020-21-3-3","DOIUrl":"https://doi.org/10.29141/2658-5081-2020-21-3-3","url":null,"abstract":"The Strategy for spatial development of the Russian Federation for the period up to 2025, which relies on the identification of effective specialisations, does not allow unambigu ously recognising industrial regions and forming approaches to assess their role in ensuring the national security. The paper focuses on the problem of identification of industrially devel oped regions in the context of spatial, scientific, technological and industrial development of the country. The research builds on a set of methodological approaches to the identification of industry-oriented regions, which enables the author to distinguish between two groups of classi fications: the ones based on the structural approach and the ones using industrial specialisation. The structural approach is one of the most widely applied for classifying regions and identify ing industrial-oriented regions among them. The author proposes a multi-criteria classification method, which also is based on the evaluation of the share of industry and manufacturing in GRP, as well as includes a number of additional classification criteria (GRP per capita, fixed capital investment per capita, the share of manufacturing and extractive industries in industry, etc.). Applying the multi-criteria classification, the author identifies the industrially developed regions of Russia and clarifies their role in ensuring the national security. The researcher as sesses the potential for new industrialisation in industrially developed regions on the basis of the high-tech and knowledge-intensive industries in GRP and the volume of domestic research and development expenditures. The theoretical and practical significance of the research lies in justification of the need for optimal choice of priorities for industrial development in the spatial context.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42831146","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 : 2020-10-07DOI: 10.29141/2658-5081-2020-21-3-4
I. Antipin, N. Vlasova
The relevance of the study stems from the growing importance of the strategic approach in governance, insufficient involvement of various groups of stakeholders in regional development strategising, and the lack of uniform methodologies to the formulation of a region’s strategy for socioeconomic development. The paper researches into the incremental approach to regional strategising. The methodological basis rests on the theoretical concepts of strategic management, regional economics, and political science. The key feature of the incremental approach is the formulation and implementation of a strategy for socioeconomic development of a territory as a gradual, step-by-step, conscious process that ensures continuous improvement of the existing mechanisms and their timely revision, as well as allows adjusting strategic actions and making necessary manoeuvres. The research relies on a comprehensive analysis of the strategies for socioeconomic development of the subjects of the Russian Federation by stages of the strategic management cycle with use of dialectical, causal, and expert evaluation methods. The theoretical significance of the study lies in providing the rationale behind adopting the incremental approach in regional strategising that is due to its ability to increase the likelihood of reaching a consensus between stakeholders, as well as to reduce the risk of making subjective suboptimal managerial and strategic decisions. The practical significance of the paper arises from evaluation of regional strategies and methods of strategising, breaking them down into their basic components (environmental analysis, goals, priorities, mechanisms of implementation and control), and identifying their distinctive features that are typical of the incremental approach.
{"title":"Incremental approach to regional strategising: Theory, methodology, practices","authors":"I. Antipin, N. Vlasova","doi":"10.29141/2658-5081-2020-21-3-4","DOIUrl":"https://doi.org/10.29141/2658-5081-2020-21-3-4","url":null,"abstract":"The relevance of the study stems from the growing importance of the strategic approach in governance, insufficient involvement of various groups of stakeholders in regional development strategising, and the lack of uniform methodologies to the formulation of a region’s strategy for socioeconomic development. The paper researches into the incremental approach to regional strategising. The methodological basis rests on the theoretical concepts of strategic management, regional economics, and political science. The key feature of the incremental approach is the formulation and implementation of a strategy for socioeconomic development of a territory as a gradual, step-by-step, conscious process that ensures continuous improvement of the existing mechanisms and their timely revision, as well as allows adjusting strategic actions and making necessary manoeuvres. The research relies on a comprehensive analysis of the strategies for socioeconomic development of the subjects of the Russian Federation by stages of the strategic management cycle with use of dialectical, causal, and expert evaluation methods. The theoretical significance of the study lies in providing the rationale behind adopting the incremental approach in regional strategising that is due to its ability to increase the likelihood of reaching a consensus between stakeholders, as well as to reduce the risk of making subjective suboptimal managerial and strategic decisions. The practical significance of the paper arises from evaluation of regional strategies and methods of strategising, breaking them down into their basic components (environmental analysis, goals, priorities, mechanisms of implementation and control), and identifying their distinctive features that are typical of the incremental approach.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42655901","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 : 2020-10-07DOI: 10.29141/2658-5081-2020-21-3-6
D. Benz
Current pandemic-induced downturn has made the problem of economic growth even more acute for the Ural regions of Russia. The national economy is stagnating and trans mits the same processes to the regional economies. The paper aims to identify the economic growth factors for eight Ural regions and for the national economy as a whole. The author mod els the functions of economic growth for regions that are part of both the Ural Federal District and the Ural macroregion, thereby consciously expanding the study for comparative analysis. Methodologically, the paper relies on the theory of economic growth and theory of produc tion (works of C. W. Cobb, P. H. Douglas, R. M. Solow). The author uses econometric tools and builds regressions for eight regions and the national economy, where the outcome variable is the growth rate of gross regional product. The independent variables include the growth rates of the following indicators: industrial production, employment, investments in fixed assets, cost of fixed assets, average per capita incomes, costs of technological innovations. The source of statistical information is Rosstat data covering the period 1995–2018. Based on the constructed functions, the researcher draws a number of conclusions. For the majority of the Ural regions, as well as for the Russian economy, the deciding and the most elastic factor is the growth rate of industrial production. Results among regions vary, but in total, the growth rate of average per capita incomes is the second most important factor. The increase in employment affects greatly the economic growth, especially in those regions that have seen a drastic decline in the labour force over the past decades. The costs of technological innovation do not demonstrate high elasticity. The author suggests that the reason is that their amount is extremely small. Even high growth rates of costs of technological innovation do not produce a visible result, since their level remains catastrophically low. The results of the study can be used in the regional and national socioeconomic development strategies, as well as serve a basis for further economic studies.
{"title":"Modelling of the еconomic growth factors: The case of the Ural regions and the Russian Federation","authors":"D. Benz","doi":"10.29141/2658-5081-2020-21-3-6","DOIUrl":"https://doi.org/10.29141/2658-5081-2020-21-3-6","url":null,"abstract":"Current pandemic-induced downturn has made the problem of economic growth even more acute for the Ural regions of Russia. The national economy is stagnating and trans mits the same processes to the regional economies. The paper aims to identify the economic growth factors for eight Ural regions and for the national economy as a whole. The author mod els the functions of economic growth for regions that are part of both the Ural Federal District and the Ural macroregion, thereby consciously expanding the study for comparative analysis. Methodologically, the paper relies on the theory of economic growth and theory of produc tion (works of C. W. Cobb, P. H. Douglas, R. M. Solow). The author uses econometric tools and builds regressions for eight regions and the national economy, where the outcome variable is the growth rate of gross regional product. The independent variables include the growth rates of the following indicators: industrial production, employment, investments in fixed assets, cost of fixed assets, average per capita incomes, costs of technological innovations. The source of statistical information is Rosstat data covering the period 1995–2018. Based on the constructed functions, the researcher draws a number of conclusions. For the majority of the Ural regions, as well as for the Russian economy, the deciding and the most elastic factor is the growth rate of industrial production. Results among regions vary, but in total, the growth rate of average per capita incomes is the second most important factor. The increase in employment affects greatly the economic growth, especially in those regions that have seen a drastic decline in the labour force over the past decades. The costs of technological innovation do not demonstrate high elasticity. The author suggests that the reason is that their amount is extremely small. Even high growth rates of costs of technological innovation do not produce a visible result, since their level remains catastrophically low. The results of the study can be used in the regional and national socioeconomic development strategies, as well as serve a basis for further economic studies.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46451179","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 : 2020-10-07DOI: 10.29141/2658-5081-2020-21-3-1
E. Balatsky, N. Ekimova
The paper examines the true source of economic growth, which allowed “break ing” the regime of the Malthusian trap (poverty trap) that had existed for thousands of years. The researchers hypothesize that the driver of the destruction of a stagnation regime and the for mation of a stable economic growth regime instead is the so-called special sector of the economy characterized in an extremely high return on capital, more than 100% per annum. The authors search for concrete examples in both the history of Modern Europe and the modern world economy to identify special sector’s segments and determine the rates of return to wealth in them. The methodological basis of the research includes the models of economic growth and Thomas Piketty’s concept of a connection between the economic growth rate and the rate of return to wealth. The application of the method of stylized examples allows considering the essence of the studied phenomenon in the most refined form on the basis of a quantitative assessment. As a re sult of the study, the researchers discover main types of businesses and specify their profitability for the Modern Age (trade in spices, tea, tulips, slave trade, privateering, etc.) and the present (film industry, oil production, pharmaceutical production, production of digital devices, etc.). The study reliably confirms the existence of the special sector of the economy, thus providing a basis for a deeper understanding of the mechanism of economic growth.
{"title":"Driving the economy: The role of a special economic sector","authors":"E. Balatsky, N. Ekimova","doi":"10.29141/2658-5081-2020-21-3-1","DOIUrl":"https://doi.org/10.29141/2658-5081-2020-21-3-1","url":null,"abstract":"The paper examines the true source of economic growth, which allowed “break ing” the regime of the Malthusian trap (poverty trap) that had existed for thousands of years. The researchers hypothesize that the driver of the destruction of a stagnation regime and the for mation of a stable economic growth regime instead is the so-called special sector of the economy characterized in an extremely high return on capital, more than 100% per annum. The authors search for concrete examples in both the history of Modern Europe and the modern world economy to identify special sector’s segments and determine the rates of return to wealth in them. The methodological basis of the research includes the models of economic growth and Thomas Piketty’s concept of a connection between the economic growth rate and the rate of return to wealth. The application of the method of stylized examples allows considering the essence of the studied phenomenon in the most refined form on the basis of a quantitative assessment. As a re sult of the study, the researchers discover main types of businesses and specify their profitability for the Modern Age (trade in spices, tea, tulips, slave trade, privateering, etc.) and the present (film industry, oil production, pharmaceutical production, production of digital devices, etc.). The study reliably confirms the existence of the special sector of the economy, thus providing a basis for a deeper understanding of the mechanism of economic growth.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41715618","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 : 2020-10-07DOI: 10.29141/2658-5081-2020-21-3-7
M. Evseeva
At the local level, regions are the entities that have to grapple with the problem of Russia’s technological breakthrough directly. The paper aims to uncover the reasons behind the differences in technological development of the subjects of the Ural macroregion. The econom ics of complexity and new Schumpeterian theory of economic growth constitute the methodo logical basis of the research. The author applies economic mathematical methods of analysis, as well as analytical tools of the ecosystem approach to examine the sample of 3,436 manufactur ing companies from the seven subjects of the Ural macroregion in the period of 2007–2019. The researcher specifies separate technologies by disagregating industries using All-Russian Classification of Economic Activities (OKVED-2). Companies are divided into three groups depending on the type of the main implemented technology: system, component or basic. The findings reveal that leading regions feature high degree of technological complexity determined on the basis of technological diversity and localisation of the system integrator companies. Ad ditionally, leaders significantly outperform other regions in total factor productivity of compa nies employing different groups of technologies. The research demonstrates that the presence of a system technology in a region stimulates the development of a family of related compo nent technologies, which may be located not only in the region of operation, but in also in the neighboring less technologically developed regions. This gives rise to the assumption that in the macroregion a separate technological ecosystem may form. The empirical data show that the domination of separate technologies in a region may slow down the technological development. The results of the research can be helpful while devising the plans for technological and spatial development of territories.
{"title":"Technological differentiation in the development of the Ural macroregion’s subjects","authors":"M. Evseeva","doi":"10.29141/2658-5081-2020-21-3-7","DOIUrl":"https://doi.org/10.29141/2658-5081-2020-21-3-7","url":null,"abstract":"At the local level, regions are the entities that have to grapple with the problem of Russia’s technological breakthrough directly. The paper aims to uncover the reasons behind the differences in technological development of the subjects of the Ural macroregion. The econom ics of complexity and new Schumpeterian theory of economic growth constitute the methodo logical basis of the research. The author applies economic mathematical methods of analysis, as well as analytical tools of the ecosystem approach to examine the sample of 3,436 manufactur ing companies from the seven subjects of the Ural macroregion in the period of 2007–2019. The researcher specifies separate technologies by disagregating industries using All-Russian Classification of Economic Activities (OKVED-2). Companies are divided into three groups depending on the type of the main implemented technology: system, component or basic. The findings reveal that leading regions feature high degree of technological complexity determined on the basis of technological diversity and localisation of the system integrator companies. Ad ditionally, leaders significantly outperform other regions in total factor productivity of compa nies employing different groups of technologies. The research demonstrates that the presence of a system technology in a region stimulates the development of a family of related compo nent technologies, which may be located not only in the region of operation, but in also in the neighboring less technologically developed regions. This gives rise to the assumption that in the macroregion a separate technological ecosystem may form. The empirical data show that the domination of separate technologies in a region may slow down the technological development. The results of the research can be helpful while devising the plans for technological and spatial development of territories.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41934972","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 : 2020-10-07DOI: 10.29141/2658-5081-2020-21-3-8
G. Korovin
The study of the transformation of the industrial complex and industrial products markets, due to its complexity, involves the use of tools that can adequately simulate elaborate systems of interconnections. The paper aims at developing an agent-based model of digital transformation of the regional industrial complex. The research methodology relies on regional economics, game and contract theories, the network approach, as well as the concepts of new industrialisation and the fourth industrial revolution. The author uses simulation modelling to study the individual behaviour of agents. As one of its outcomes, the article provides a methodological rationale for modelling industrial development processes by simulating the behaviour of interacting agents. The structural elements of the proposed model include an interaction environment, four classes of agents with individual parameters, strategies and rules of behaviour, a complex of external stimulating factors and a set of indicators of a phased digital transformation of an industrial complex. The model development algorithm consists of three parts: setting the initial state; determining the specific number of model runs corresponding to the time horizon of calculations; making final calculations and visually presenting simulation outcomes. The author proposes one of the possible methods to formalise behaviour rules of heterogeneous agents that includes the choice of the digitalisation strategy and operational decision-making. The results of the study can offer support for the practical implementation of the simulation model within a specific computer environment and lay the foundations for the control system of a region’s industry digitalisation.
{"title":"Architecture of the agent-based model for the region’s industrial complex digital transformation","authors":"G. Korovin","doi":"10.29141/2658-5081-2020-21-3-8","DOIUrl":"https://doi.org/10.29141/2658-5081-2020-21-3-8","url":null,"abstract":"The study of the transformation of the industrial complex and industrial products markets, due to its complexity, involves the use of tools that can adequately simulate elaborate systems of interconnections. The paper aims at developing an agent-based model of digital transformation of the regional industrial complex. The research methodology relies on regional economics, game and contract theories, the network approach, as well as the concepts of new industrialisation and the fourth industrial revolution. The author uses simulation modelling to study the individual behaviour of agents. As one of its outcomes, the article provides a methodological rationale for modelling industrial development processes by simulating the behaviour of interacting agents. The structural elements of the proposed model include an interaction environment, four classes of agents with individual parameters, strategies and rules of behaviour, a complex of external stimulating factors and a set of indicators of a phased digital transformation of an industrial complex. The model development algorithm consists of three parts: setting the initial state; determining the specific number of model runs corresponding to the time horizon of calculations; making final calculations and visually presenting simulation outcomes. The author proposes one of the possible methods to formalise behaviour rules of heterogeneous agents that includes the choice of the digitalisation strategy and operational decision-making. The results of the study can offer support for the practical implementation of the simulation model within a specific computer environment and lay the foundations for the control system of a region’s industry digitalisation.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47067669","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 : 2020-07-10DOI: 10.29141/2658-5081-2020-21-2-5
E. Strogonova, N. Novikova
Scientific thought is constantly looking for new sources and drivers of economic development and growth. In this regard, the digital economy becomes a buzzword as a major endogenous factor stimulating economic activity of a country and its regions. Therefore, its emergence, development, and measurement become high on the agenda. The paper summarises theoretical and methodological aspects of the study of the digital economy as the major driver boosting the regional economy. The methodological basis of the research rests on the contributions by Bukht and Heeks, the English scholars of the Global Development Institute, who introduced a three-scope approach to understanding the digital economy. The research team also draws on the method to compute the business digitalisation index developed by the Russian scholars of the National Research University Higher School of Economics. As a result of the research the authors propose their method for calculating the composite indicator of the regional economy digitalisation and test it on the Ural macroregion. The method uses a set of 12 specific indicators which shows how deep the digital economy and digital technologies have spread into the region. The study revealed the following distinctive features of the digital economy developing in the subjects of the Russian Federation constituting the Ural macroregion: significant differentiation of the digitalisation levels across the subjects; finished primary stage of the digitalisation process; dissimilar potential for the digital economy development among the subjects; correlation between the level of the regional economy digitalisation and economic growth.
{"title":"Regional aspects of studying the digital economy in the system of economic growth drivers","authors":"E. Strogonova, N. Novikova","doi":"10.29141/2658-5081-2020-21-2-5","DOIUrl":"https://doi.org/10.29141/2658-5081-2020-21-2-5","url":null,"abstract":"Scientific thought is constantly looking for new sources and drivers of economic development and growth. In this regard, the digital economy becomes a buzzword as a major endogenous factor stimulating economic activity of a country and its regions. Therefore, its emergence, development, and measurement become high on the agenda. The paper summarises theoretical and methodological aspects of the study of the digital economy as the major driver boosting the regional economy. The methodological basis of the research rests on the contributions by Bukht and Heeks, the English scholars of the Global Development Institute, who introduced a three-scope approach to understanding the digital economy. The research team also draws on the method to compute the business digitalisation index developed by the Russian scholars of the National Research University Higher School of Economics. As a result of the research the authors propose their method for calculating the composite indicator of the regional economy digitalisation and test it on the Ural macroregion. The method uses a set of 12 specific indicators which shows how deep the digital economy and digital technologies have spread into the region. The study revealed the following distinctive features of the digital economy developing in the subjects of the Russian Federation constituting the Ural macroregion: significant differentiation of the digitalisation levels across the subjects; finished primary stage of the digitalisation process; dissimilar potential for the digital economy development among the subjects; correlation between the level of the regional economy digitalisation and economic growth.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43584959","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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