Pub Date : 2024-01-12DOI: 10.29141/2658-5081-2023-24-4-1
Evgeny Popov, A. Veretennikova, Anna Mokrushnikova
Sharing economy as well as consumption and resource use models associated with it are forms of interaction between economic agents that involve the application of digital technologies. At the same time, sharing economy goes through several development stages, which determine the specifics of its implementation and penetration. The purpose of the paper is to identify and describe the stages in the sharing economy development. Methodologically, the research relies on institutionalism, digital economics, and sharing economics. Methods of systematisation and comparative analysis are used. The study reveals five stages in the sharing economy development: basic, technological, platform, social and advanced – that differ in terms of spread and level of digital technologies and initiate and support emerging institutional changes. The paper proves that external factors such as the appearance of IT giants and the COVID-19 pandemic affected the change of stages in the development of sharing economy. Digitalisation promoted the evolution of new sharing economy tools and altered the nature of goods and services consumption. The findings are of practical value since they can be used in forecasting the outcomes of sharing economy projects.
{"title":"The evolutionary development of sharing economy","authors":"Evgeny Popov, A. Veretennikova, Anna Mokrushnikova","doi":"10.29141/2658-5081-2023-24-4-1","DOIUrl":"https://doi.org/10.29141/2658-5081-2023-24-4-1","url":null,"abstract":"Sharing economy as well as consumption and resource use models associated with it are forms of interaction between economic agents that involve the application of digital technologies. At the same time, sharing economy goes through several development stages, which determine the specifics of its implementation and penetration. The purpose of the paper is to identify and describe the stages in the sharing economy development. Methodologically, the research relies on institutionalism, digital economics, and sharing economics. Methods of systematisation and comparative analysis are used. The study reveals five stages in the sharing economy development: basic, technological, platform, social and advanced – that differ in terms of spread and level of digital technologies and initiate and support emerging institutional changes. The paper proves that external factors such as the appearance of IT giants and the COVID-19 pandemic affected the change of stages in the development of sharing economy. Digitalisation promoted the evolution of new sharing economy tools and altered the nature of goods and services consumption. The findings are of practical value since they can be used in forecasting the outcomes of sharing economy projects.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139624858","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 : 2023-10-06DOI: 10.29141/2658-5081-2023-24-3-5
Daria S. Bents, Aleksandr V. Rezepin
Since metals industry regions are dependent on the location of production resources and infrastructure, as well as have highly capital-intensive production, they usually feature a slowly changing industrial and technological structure of production. In line with the hypothesis of the study, the technological structure of the manufacturing industry determines the differences in their economic development. The study aims to explore the medium-term trends and patterns in economic and technological development of the metals industry regions. The methodological basis of the research is the structural dynamic approach to studying regional economic development. The methods include multivariate data analysis and clustering algorithms, time series estimation and correlation analysis. The study uses the data on large and medium-sized enterprises by types of economic activities for 2006–2021 taken from an information and analytics system FIRA PRO. According to the findings, the Chelyabinsk, Sverdlovsk, Lipetsk, Vologda and Tula oblasts are metals industry regions. The identified medium-term trends in their economic development show different dynamics of input and output indicators of production both by all types of economic activities and in metals industry in particular. The study proves that the dynamics of metals industry regions’ development largely depends on technological characteristics of the manufacturing industry. The results of the research contribute to the understanding of the adaptation mechanisms of regions’ industry to the changing conditions of external environment.
{"title":"Medium-term trends in economic and technological development of metals industry regions","authors":"Daria S. Bents, Aleksandr V. Rezepin","doi":"10.29141/2658-5081-2023-24-3-5","DOIUrl":"https://doi.org/10.29141/2658-5081-2023-24-3-5","url":null,"abstract":"Since metals industry regions are dependent on the location of production resources and infrastructure, as well as have highly capital-intensive production, they usually feature a slowly changing industrial and technological structure of production. In line with the hypothesis of the study, the technological structure of the manufacturing industry determines the differences in their economic development. The study aims to explore the medium-term trends and patterns in economic and technological development of the metals industry regions. The methodological basis of the research is the structural dynamic approach to studying regional economic development. The methods include multivariate data analysis and clustering algorithms, time series estimation and correlation analysis. The study uses the data on large and medium-sized enterprises by types of economic activities for 2006–2021 taken from an information and analytics system FIRA PRO. According to the findings, the Chelyabinsk, Sverdlovsk, Lipetsk, Vologda and Tula oblasts are metals industry regions. The identified medium-term trends in their economic development show different dynamics of input and output indicators of production both by all types of economic activities and in metals industry in particular. The study proves that the dynamics of metals industry regions’ development largely depends on technological characteristics of the manufacturing industry. The results of the research contribute to the understanding of the adaptation mechanisms of regions’ industry to the changing conditions of external environment.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134945200","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 : 2023-10-06DOI: 10.29141/2658-5081-2023-24-3-4
Larisa I. Yuzvovich, Maksim S. Maramygin, Mayya I. Lvova
An important condition for the successful incorporation of ESG principles in banks’ activity is reflecting the data on the implementation of environmental, social and governance activities in the reporting for stakeholders. The paper aims to build the models of ESG factors’ impact on the banking industry. Methodologically, the study rests on the theories of ESG banking and green (responsible) finance and uses the methods of dialectical and economic statistical analysis. By means of correlation analysis the authors reveal causal relationships and establish the ESG factors affecting the banking sector of the Russian Federation. The obtained data point to the importance of green finance within the framework of the sustainable environmental and economic development of the banking industry. The study does not fully confirm the thesis that following the ESG principles will lead to an increase in the profitability and efficiency of the banking sector: only social factors directly influence the performance of the banking sector, while environmental factors have an inverse effect, and there is no relationship with the governance factors. The findings can be useful while incorporating ESG principles in the regulation of financial markets and in investment practices. This will enable the organisations in the banking sector to form an ESG-based strategy, control the factors affecting the financial sustainability of the baking industry, manage ESG risks based on an extensive dialogue with stakeholders, and win goodwill.
{"title":"The impact of ESG factors on Russia’s banking sector","authors":"Larisa I. Yuzvovich, Maksim S. Maramygin, Mayya I. Lvova","doi":"10.29141/2658-5081-2023-24-3-4","DOIUrl":"https://doi.org/10.29141/2658-5081-2023-24-3-4","url":null,"abstract":"An important condition for the successful incorporation of ESG principles in banks’ activity is reflecting the data on the implementation of environmental, social and governance activities in the reporting for stakeholders. The paper aims to build the models of ESG factors’ impact on the banking industry. Methodologically, the study rests on the theories of ESG banking and green (responsible) finance and uses the methods of dialectical and economic statistical analysis. By means of correlation analysis the authors reveal causal relationships and establish the ESG factors affecting the banking sector of the Russian Federation. The obtained data point to the importance of green finance within the framework of the sustainable environmental and economic development of the banking industry. The study does not fully confirm the thesis that following the ESG principles will lead to an increase in the profitability and efficiency of the banking sector: only social factors directly influence the performance of the banking sector, while environmental factors have an inverse effect, and there is no relationship with the governance factors. The findings can be useful while incorporating ESG principles in the regulation of financial markets and in investment practices. This will enable the organisations in the banking sector to form an ESG-based strategy, control the factors affecting the financial sustainability of the baking industry, manage ESG risks based on an extensive dialogue with stakeholders, and win goodwill.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134945199","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 : 2023-10-06DOI: 10.29141/2658-5081-2023-24-3-3
Sergey V. Khmura, Vilena A. Yakimova
Modern conditions brought forth digital investment platforms, which have offered new possibilities of raising capital by entrepreneurs. The paper aims to rank these platforms to meet the information and analytical needs of agents in investment decision-making. Methodologically, the paper relies on the ecosystem approach, as well as propositions of digital, collaborative and platform economics. The paper applies the methods of grade rating, coefficient and correlation analysis. The evidence comes from public reports on investment activities of 68 crowdfunding platform operators and other information available on their websites. To rank the platforms, the study considers the factors related to investment activity (competitiveness, market activity, scaling up, etc.) and risks (financial insolvency, credit and litigation risks, etc.) and then designs a method for a rating-based assessment of investment activity and risks. The paper provides a multivariate assessment of investment activity and risks including systemic ones and specific for certain types of crowdfunding. The study presents the ranking of 68 crowdfunding platforms, identifies types of platforms according to the criteria “investment activity – risks”, as well as the criteria of security of investment (Co-Fi, Peers.money, Potok.Digital, InveStore, InvestGO) and association with a high risk. The method can be useful for investors and borrowers to justify their financial decisions; for the Bank of Russia to perform control and supervision procedures; and for professional community to outline directions for the development and promotion of the crowdfunding in Russia.
{"title":"Crowdfunding platforms in Russia: Methodological tools for agents’ investment decision-making","authors":"Sergey V. Khmura, Vilena A. Yakimova","doi":"10.29141/2658-5081-2023-24-3-3","DOIUrl":"https://doi.org/10.29141/2658-5081-2023-24-3-3","url":null,"abstract":"Modern conditions brought forth digital investment platforms, which have offered new possibilities of raising capital by entrepreneurs. The paper aims to rank these platforms to meet the information and analytical needs of agents in investment decision-making. Methodologically, the paper relies on the ecosystem approach, as well as propositions of digital, collaborative and platform economics. The paper applies the methods of grade rating, coefficient and correlation analysis. The evidence comes from public reports on investment activities of 68 crowdfunding platform operators and other information available on their websites. To rank the platforms, the study considers the factors related to investment activity (competitiveness, market activity, scaling up, etc.) and risks (financial insolvency, credit and litigation risks, etc.) and then designs a method for a rating-based assessment of investment activity and risks. The paper provides a multivariate assessment of investment activity and risks including systemic ones and specific for certain types of crowdfunding. The study presents the ranking of 68 crowdfunding platforms, identifies types of platforms according to the criteria “investment activity – risks”, as well as the criteria of security of investment (Co-Fi, Peers.money, Potok.Digital, InveStore, InvestGO) and association with a high risk. The method can be useful for investors and borrowers to justify their financial decisions; for the Bank of Russia to perform control and supervision procedures; and for professional community to outline directions for the development and promotion of the crowdfunding in Russia.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134944922","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 : 2023-10-06DOI: 10.29141/2658-5081-2023-24-3-7
Andrey S. Vaulin
Production digitalisation is a significant factor in the development of mechanical engineering that triggers countries and regions’ economic growth. Implementing digital integration at industrial enterprises implies that production operations are linked through a corporate information system. The paper aims to develop and test a method for assessing the economic effect from digital integration at mechanical engineering enterprises. Methodologically, the study rests on the theories of production organisation and integration as well as the main postulates of the concept of industrial digitalisation. The study applies methods of econometric modelling. The evidence base is the information about the activities of one of the Ural macroregion’s largest mechanical engineering enterprise – Production Association “Ural Optical and Mechanical Plant named after E. S. Yalamov” (UOMZ). The paper systemitises ideas about the essence of the economic effect from digital integration. The case of the enterprise is used to identify the level of specific costs in this process and to forecast their changes depending on different factors using econometric modelling. The value of the findings consists in broadening the scientific and practical understanding of the economic effects brought about by industrial digitalisation.
{"title":"Economic effect from digital integration: The case of a mechanical engineering enterprise","authors":"Andrey S. Vaulin","doi":"10.29141/2658-5081-2023-24-3-7","DOIUrl":"https://doi.org/10.29141/2658-5081-2023-24-3-7","url":null,"abstract":"Production digitalisation is a significant factor in the development of mechanical engineering that triggers countries and regions’ economic growth. Implementing digital integration at industrial enterprises implies that production operations are linked through a corporate information system. The paper aims to develop and test a method for assessing the economic effect from digital integration at mechanical engineering enterprises. Methodologically, the study rests on the theories of production organisation and integration as well as the main postulates of the concept of industrial digitalisation. The study applies methods of econometric modelling. The evidence base is the information about the activities of one of the Ural macroregion’s largest mechanical engineering enterprise – Production Association “Ural Optical and Mechanical Plant named after E. S. Yalamov” (UOMZ). The paper systemitises ideas about the essence of the economic effect from digital integration. The case of the enterprise is used to identify the level of specific costs in this process and to forecast their changes depending on different factors using econometric modelling. The value of the findings consists in broadening the scientific and practical understanding of the economic effects brought about by industrial digitalisation.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134944777","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 : 2023-10-06DOI: 10.29141/2658-5081-2023-24-3-6
Ekaterina S. Dashkova, Natalia V. Dorokhova
Turbulent socioeconomic environment significantly affects the state and dynamics of the regional labour market. The paper develops and tests a methodological toolkit for assessing the state of a regional labour market allowing for the main socioeconomic trends – digitalisation and innovative development of the economy. Labour economics constitutes the methodological basis of the research. Methods of economic statistical and content analysis were used. The evidence is the 2021 data of the Federal State Statistics Service of the Russian Federation concerning the labour markets of the Central Black Earth economic region of Russia, which comprises Belgorod, Voronezh, Kursk, Lipetsk and Tambov oblasts. The suggested method for investigating the state of the regional labour market takes into account the impact of digitalisation and innovative development processes on the latter. Testing the method at the case of the Central Black Earth economic region revealed that the regions’ labour markets appreciably lag behind other subjects of the Russian Federation in terms of wages and encounter labour shortages against rather low rates of digital transformation and innovative development in their economies. The paper formulates recommendations for all parties of the social partnership, which suggest boosting the investment attractiveness of regions; creating high-productive jobs; spurring the activities of trade unions and associations; retaining the youth in the regions; increasing the efficiency of career guidance; attracting labour migrants, first and foremost, from other Russian regions due to improvements in economic, social and household infrastructure; promoting competencies of citizens of pre-retirement age and retired citizens; creating conditions for acceleration of digital transformation as well as expanding regions’ innovation activities.
{"title":"Regional labour market: A method for research","authors":"Ekaterina S. Dashkova, Natalia V. Dorokhova","doi":"10.29141/2658-5081-2023-24-3-6","DOIUrl":"https://doi.org/10.29141/2658-5081-2023-24-3-6","url":null,"abstract":"Turbulent socioeconomic environment significantly affects the state and dynamics of the regional labour market. The paper develops and tests a methodological toolkit for assessing the state of a regional labour market allowing for the main socioeconomic trends – digitalisation and innovative development of the economy. Labour economics constitutes the methodological basis of the research. Methods of economic statistical and content analysis were used. The evidence is the 2021 data of the Federal State Statistics Service of the Russian Federation concerning the labour markets of the Central Black Earth economic region of Russia, which comprises Belgorod, Voronezh, Kursk, Lipetsk and Tambov oblasts. The suggested method for investigating the state of the regional labour market takes into account the impact of digitalisation and innovative development processes on the latter. Testing the method at the case of the Central Black Earth economic region revealed that the regions’ labour markets appreciably lag behind other subjects of the Russian Federation in terms of wages and encounter labour shortages against rather low rates of digital transformation and innovative development in their economies. The paper formulates recommendations for all parties of the social partnership, which suggest boosting the investment attractiveness of regions; creating high-productive jobs; spurring the activities of trade unions and associations; retaining the youth in the regions; increasing the efficiency of career guidance; attracting labour migrants, first and foremost, from other Russian regions due to improvements in economic, social and household infrastructure; promoting competencies of citizens of pre-retirement age and retired citizens; creating conditions for acceleration of digital transformation as well as expanding regions’ innovation activities.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134944919","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 : 2023-10-06DOI: 10.29141/2658-5081-2023-24-3-1
Anna A. Urasova
Scientific economic discourse holds a certain pool of theories and concepts, which are now considered generally accepted. They rely on a developed evidence base, have passed through several stages, and have mature schools of thought. Yet as we can see from the history of economic thought, during their genesis these theories were not always connoted and contextualized unambiguously. Perhaps at present we are witnessing the formation of a new scientific theory – noonomics. The paper aims to study its essence, basic characteristics and postulates and to prove that it belongs to the modern stage in the development of the theories of economic dynamics and stadiality in economic processes. These theories constitute the methodological basis of the research. The methods include systematisation and generalisation used to reveal the key propositions of the theories of economic cycles and dynamics; logical structural analysis and causal analysis to track the evolution of the foundations underlying the theories of technological development; the method of particularising to describe the essence of noonomics. The paper identifies the relevant characteristics of the theories of economic dynamics and stadiality of economic processes and examines noonomics in the context of the said theories. The research confirms the scientific foundations of this concept. The results contribute to the understanding of a transition to the next stage in the economy and society’s technological development by extending the boundaries of the theories of economic dynamics.
{"title":"Noonomics as a scientific theory: Key postulates and implications","authors":"Anna A. Urasova","doi":"10.29141/2658-5081-2023-24-3-1","DOIUrl":"https://doi.org/10.29141/2658-5081-2023-24-3-1","url":null,"abstract":"Scientific economic discourse holds a certain pool of theories and concepts, which are now considered generally accepted. They rely on a developed evidence base, have passed through several stages, and have mature schools of thought. Yet as we can see from the history of economic thought, during their genesis these theories were not always connoted and contextualized unambiguously. Perhaps at present we are witnessing the formation of a new scientific theory – noonomics. The paper aims to study its essence, basic characteristics and postulates and to prove that it belongs to the modern stage in the development of the theories of economic dynamics and stadiality in economic processes. These theories constitute the methodological basis of the research. The methods include systematisation and generalisation used to reveal the key propositions of the theories of economic cycles and dynamics; logical structural analysis and causal analysis to track the evolution of the foundations underlying the theories of technological development; the method of particularising to describe the essence of noonomics. The paper identifies the relevant characteristics of the theories of economic dynamics and stadiality of economic processes and examines noonomics in the context of the said theories. The research confirms the scientific foundations of this concept. The results contribute to the understanding of a transition to the next stage in the economy and society’s technological development by extending the boundaries of the theories of economic dynamics.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134945024","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 : 2023-10-06DOI: 10.29141/2658-5081-2023-24-3-2
Jun Li, Irina S. Pylaeva, Maria V. Podshivalova
The issues of Sino-Russian cooperation in science and technology are the subject of the studies by both Russian and Chinese economists. However, there are still few works that systematise the main science and technology indicators (MSTI) of both countries and the impact of sanctions on the science and technology development. Filling this research gap is the goal of the present contribution. Methodologically, the paper is based on macroeconomic analysis. The methods include retrospective and comparative analysis, grouping, as well as SWOT analysis. The data were sourced from the Federal State Statistics Service of the Russian Federation, the World Bank, and the National Bureau of Statistics of China. The paper identifies success factors behind China and Russia’s science and technology development and reveals that the common factor for both countries is high quality of human capital. The MSTI analysis of each country for the period of 2010–2021, such as the share of R&D expenditure in GDP, the ratio of patents issued on inventions to country’s workingage population, the share of high-tech exports and imports in GDP, international publication activity, etc. demonstrates national differences in their scale. The SWOT analysis of the Sino-Russian cooperation in science and technology shows that the main threat to the cooperation is the sanctions pressure. The authors conclude that such cooperation does not promote Russia’s science and technology development; moreover, it may itself put the country in jeopardy as it could turn into a resource appendage of the PRC. The findings can be useful in the development of road maps and strategies for the implementation of cooperation in science and technology between China and Russia.
{"title":"Sino-Russian cooperation in science and technology: A benefit or a harm?","authors":"Jun Li, Irina S. Pylaeva, Maria V. Podshivalova","doi":"10.29141/2658-5081-2023-24-3-2","DOIUrl":"https://doi.org/10.29141/2658-5081-2023-24-3-2","url":null,"abstract":"The issues of Sino-Russian cooperation in science and technology are the subject of the studies by both Russian and Chinese economists. However, there are still few works that systematise the main science and technology indicators (MSTI) of both countries and the impact of sanctions on the science and technology development. Filling this research gap is the goal of the present contribution. Methodologically, the paper is based on macroeconomic analysis. The methods include retrospective and comparative analysis, grouping, as well as SWOT analysis. The data were sourced from the Federal State Statistics Service of the Russian Federation, the World Bank, and the National Bureau of Statistics of China. The paper identifies success factors behind China and Russia’s science and technology development and reveals that the common factor for both countries is high quality of human capital. The MSTI analysis of each country for the period of 2010–2021, such as the share of R&D expenditure in GDP, the ratio of patents issued on inventions to country’s workingage population, the share of high-tech exports and imports in GDP, international publication activity, etc. demonstrates national differences in their scale. The SWOT analysis of the Sino-Russian cooperation in science and technology shows that the main threat to the cooperation is the sanctions pressure. The authors conclude that such cooperation does not promote Russia’s science and technology development; moreover, it may itself put the country in jeopardy as it could turn into a resource appendage of the PRC. The findings can be useful in the development of road maps and strategies for the implementation of cooperation in science and technology between China and Russia.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134945030","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 : 2023-07-07DOI: 10.29141/2658-5081-2023-24-2-4
A. Golovina, D. Shtykhno, V. Potanin
The uncertainty promotes the transformation of corporate strategies in accordance with the principles of sustainable development. Metals industry is among the most important ones for the Russian economy since the management of economic development at industrial, regional and national levels significantly depends on the sustainability of metals enterprises. The paper aims to assess the sustainability of Russia’s leading metals companies and the alignment of their corporate strategies with the principles of sustainable development. The concepts of sustainable development and ecosystems constitute the methodological basis of the study. To determine whether the companies’ strategies correspond to the said principles the authors applied the own set of tools and methods. The evidence is the information about the activities of seven Russian ferrous and non-ferrous metals enterprises. Along with economic, social and environmental pillars of sustainable development, the paper considers an investment and technological one. The paper justifies the choice of indicators for measuring these pillars and proposes a composite index that reflects the total level of sustainable development of enterprises. The ratio of this index to its standard deviation allowed empirically establishing the quantitative borders for classifying the level of sustainable development of Russia’s largest metals enterprises and distinguish between four types of these enterprises. The value of the research lies in detecting the trends in the creation of strategies by Russia’s leading metals companies according to the sustainable development principles.
{"title":"Sustainable development and corporate strategies: The case of Russian metals enterprises","authors":"A. Golovina, D. Shtykhno, V. Potanin","doi":"10.29141/2658-5081-2023-24-2-4","DOIUrl":"https://doi.org/10.29141/2658-5081-2023-24-2-4","url":null,"abstract":"The uncertainty promotes the transformation of corporate strategies in accordance with the principles of sustainable development. Metals industry is among the most important ones for the Russian economy since the management of economic development at industrial, regional and national levels significantly depends on the sustainability of metals enterprises. The paper aims to assess the sustainability of Russia’s leading metals companies and the alignment of their corporate strategies with the principles of sustainable development. The concepts of sustainable development and ecosystems constitute the methodological basis of the study. To determine whether the companies’ strategies correspond to the said principles the authors applied the own set of tools and methods. The evidence is the information about the activities of seven Russian ferrous and non-ferrous metals enterprises. Along with economic, social and environmental pillars of sustainable development, the paper considers an investment and technological one. The paper justifies the choice of indicators for measuring these pillars and proposes a composite index that reflects the total level of sustainable development of enterprises. The ratio of this index to its standard deviation allowed empirically establishing the quantitative borders for classifying the level of sustainable development of Russia’s largest metals enterprises and distinguish between four types of these enterprises. The value of the research lies in detecting the trends in the creation of strategies by Russia’s leading metals companies according to the sustainable development principles.","PeriodicalId":33954,"journal":{"name":"Journal of New Economy","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46470951","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 : 2023-07-07DOI: 10.29141/2658-5081-2023-24-2-1
E. Knyazeva, K. Samkov
Government programmes as an element of strategic planning are meant to logically link budget expenditures with attaining long-term priorities of socioeconomic development. In the Russian Federation, the vast majority of regional budget expenditures are programme expenditures. At the same time, a plenty of practical examples evidence the imperfection of the established methodological approaches to financing government programmes, which impairs their outcomes. The paper aims to produce practical recommendations on improving the assessment of government programmes’ financing efficiency in the subjects of the Russian Federation. Methodologically, the research relies on the approaches of programme-based budgeting. The methods are logical structural analysis and synthesis. According to the qualitative analysis of the government programmes’ financing at the regional level in the Russian Federation, the major problem of assessing the efficiency of this financing is the insufficient coherence between its structure and expected outcomes. As a consequence, the target programme method is applied formally. The analysis of the case of the Sverdlovsk oblast demonstrated that the existing method for assessing the efficiency of the government programmes’ financ ing in the subjects of the Russian Federation actually evaluates performance rather than efficiency of the financing. In line with this, the paper formulates practical recommendations concerning the improvement of the method for assessing the efficiency of the government programmes’ financing and the development of the system for their financing in the constituting entities of the Russian Federation: to decompose target indicators more accurately, to avoid including financing of maintenance activities, to impose stricter requirements to the composition of the funding and the quality of goal-setting.
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