Pub Date : 2021-01-01DOI: 10.31737/2221-2264-2021-50-2-9
F. Aleskerov, A. Kazachinskaya, Daniel Karabekyan, A. S. Semina, V. Yakuba
We study economic journals published in Russia and indexed in the Russian Index of Science Citation (RISC). We analyze citations of 466 journals for 2016–2020 and compare these journals using several metrics: total citation count, Hirsch index, Impact factor RISC, and Science Index RISC. We also use network analysis for citation graphs and compare journals by centrality indices: Copeland index and two new indices: Bundle and Pivotal. We found that “Voprosy Ekonomiki” is the only journal that is among the top-5 journals for all metrics. Other top journals differ for different metrics. We noticed that some top journals have a questionable reputation and the reason why they are among the top journals is a high number of publications, which makes classical journals less influential with respect to the metrics.
{"title":"Economic journals of Russia, their characteristics and network analysis","authors":"F. Aleskerov, A. Kazachinskaya, Daniel Karabekyan, A. S. Semina, V. Yakuba","doi":"10.31737/2221-2264-2021-50-2-9","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-50-2-9","url":null,"abstract":"We study economic journals published in Russia and indexed in the Russian Index of Science Citation (RISC). We analyze citations of 466 journals for 2016–2020 and compare these journals using several metrics: total citation count, Hirsch index, Impact factor RISC, and Science Index RISC. We also use network analysis for citation graphs and compare journals by centrality indices: Copeland index and two new indices: Bundle and Pivotal. We found that “Voprosy Ekonomiki” is the only journal that is among the top-5 journals for all metrics. Other top journals differ for different metrics. We noticed that some top journals have a questionable reputation and the reason why they are among the top journals is a high number of publications, which makes classical journals less influential with respect to the metrics.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"50 1","pages":"170-182"},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69819830","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 : 2021-01-01DOI: 10.31737/2221-2264-2021-51-3-9
Stepan Zemtsov
The article describes the possible impact of modern technological changes (disruptive technologies, digitalization, and automation) on regional development in Russia based on the patterns of geography of innovations and previous trends. The rates of non-resource growth over the past twenty years have been higher in those regions where inventive activity, intensity of R&D expenditures, share of researchers and employees with higher education were higher, but the same relationship cannot be traced with the intensity of the use of advanced production technologies (automation) and the availability of the Internet. During the declared pandemic in Russia in 2020, patent activity in the vast majority of regions decreased, the processes of production automation slowed down, but digitalization accelerated in terms of internet access and the development of online commerce. The creation of disruptive technologies is still concentrated in large cities and super-regions due to agglomeration effects, knowledge spillovers and concentration of human capital. But the effects of their introduction and distribution can be differentiated. In the leading regions with high proportion of creative professionals and entrepreneurs, development may accelerate, in old industrial regions, automation will increase the risks of temporary unemployment and inequality. For the least developed territories, the lack of digitalization potential and lack of highly qualified personnel may further worsen the situation.
{"title":"New technologies and regional development in the modern period","authors":"Stepan Zemtsov","doi":"10.31737/2221-2264-2021-51-3-9","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-51-3-9","url":null,"abstract":"The article describes the possible impact of modern technological changes (disruptive technologies, digitalization, and automation) on regional development in Russia based on the patterns of geography of innovations and previous trends. The rates of non-resource growth over the past twenty years have been higher in those regions where inventive activity, intensity of R&D expenditures, share of researchers and employees with higher education were higher, but the same relationship cannot be traced with the intensity of the use of advanced production technologies (automation) and the availability of the Internet. During the declared pandemic in Russia in 2020, patent activity in the vast majority of regions decreased, the processes of production automation slowed down, but digitalization accelerated in terms of internet access and the development of online commerce. The creation of disruptive technologies is still concentrated in large cities and super-regions due to agglomeration effects, knowledge spillovers and concentration of human capital. But the effects of their introduction and distribution can be differentiated. In the leading regions with high proportion of creative professionals and entrepreneurs, development may accelerate, in old industrial regions, automation will increase the risks of temporary unemployment and inequality. For the least developed territories, the lack of digitalization potential and lack of highly qualified personnel may further worsen the situation.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69819874","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 : 2021-01-01DOI: 10.31737/2221-2264-2021-52-4-5
Y. Gorlin, A. Salmina, V. Lyashok
The article proposes a system of empirical indicators for Russia, taking into account the analysis of foreign and Russian approaches to assessing the adequacy of the level of pension provision. One group of the indicators, designed for crosscountry comparisons, is based on the methodology of the European Commission. The results of calculations of the proposed indicators on Russian data are presented, which made it possible to compare the level of pensions in Russia and European Union countries. The article defines the limitations of indicators for cross-country comparisons in terms of assessing the level of pension payments within the Russian system of compulsory pension insurance. For more adequate assessment of the adequacy of payments, the second group of indicators was developed that take into account the particularities of the Russian pension system. A distinctive feature of the proposed approach to the assessment of empirical indicators is that they are focused primarily on assessing the adequacy of the actual pension payments in terms of fulfilling the functions assigned to them - protection from poverty, compensation (replacement) of wages and ensuring the balance of income. The authors propose to evaluate these indicators not only on the data of population surveys, as is most common in foreign practice, but also on the administrative data of the Pension Fund of the Russian Federation.
{"title":"Empirical pension indicators: Cross-country comparisons and methodology for Russia","authors":"Y. Gorlin, A. Salmina, V. Lyashok","doi":"10.31737/2221-2264-2021-52-4-5","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-52-4-5","url":null,"abstract":"The article proposes a system of empirical indicators for Russia, taking into account the analysis of foreign and Russian approaches to assessing the adequacy of the level of pension provision. One group of the indicators, designed for crosscountry comparisons, is based on the methodology of the European Commission. The results of calculations of the proposed indicators on Russian data are presented, which made it possible to compare the level of pensions in Russia and European Union countries. The article defines the limitations of indicators for cross-country comparisons in terms of assessing the level of pension payments within the Russian system of compulsory pension insurance. For more adequate assessment of the adequacy of payments, the second group of indicators was developed that take into account the particularities of the Russian pension system. A distinctive feature of the proposed approach to the assessment of empirical indicators is that they are focused primarily on assessing the adequacy of the actual pension payments in terms of fulfilling the functions assigned to them - protection from poverty, compensation (replacement) of wages and ensuring the balance of income. The authors propose to evaluate these indicators not only on the data of population surveys, as is most common in foreign practice, but also on the administrative data of the Pension Fund of the Russian Federation.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"67 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69821011","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 : 2021-01-01DOI: 10.31737/2221-2264-2021-52-4-6
D. Izotov
Based on complied statistical data, the scale of trade of the Russia’s Far Eastern regions with the local, macro-regional, domestic and foreign markets is determined. The assessment of the trade intensity in the Russia’s Far Eastern regions was carried out by comparing the results obtained within the framework of log-linear and multiplicative forms of gravity model. The estimation shows a deviation in the trade intensity of the Russia’s Far Eastern regions in favor of the national market as compared to the foreign one. Comparisons of the obtained values showed that the loglinear form, relative to the multiplicative one, significantly overestimated the impact of transportation costs on trade and the contiguity; while at the same time underestimating the values of intensity for trade interaction of Russian Far East with the domestic and foreign markets. The estimates obtained using multiplicative form, suggest a suppression of the comparative intensity of trade of the Russia’s Far Eastern regions with the macro-regional, domestic and foreign markets in dynamics, which can be explained not only by the costs of such interactions but also, by the concentration of trade relations within the Russia’s Far Eastern regions as a result of trade deviation in favor of the local markets.
{"title":"Assessment of trade intensity of the Russian Far East: Structural approach","authors":"D. Izotov","doi":"10.31737/2221-2264-2021-52-4-6","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-52-4-6","url":null,"abstract":"Based on complied statistical data, the scale of trade of the Russia’s Far Eastern regions with the local, macro-regional, domestic and foreign markets is determined. The assessment of the trade intensity in the Russia’s Far Eastern regions was carried out by comparing the results obtained within the framework of log-linear and multiplicative forms of gravity model. The estimation shows a deviation in the trade intensity of the Russia’s Far Eastern regions in favor of the national market as compared to the foreign one. Comparisons of the obtained values showed that the loglinear form, relative to the multiplicative one, significantly overestimated the impact of transportation costs on trade and the contiguity; while at the same time underestimating the values of intensity for trade interaction of Russian Far East with the domestic and foreign markets. The estimates obtained using multiplicative form, suggest a suppression of the comparative intensity of trade of the Russia’s Far Eastern regions with the macro-regional, domestic and foreign markets in dynamics, which can be explained not only by the costs of such interactions but also, by the concentration of trade relations within the Russia’s Far Eastern regions as a result of trade deviation in favor of the local markets.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69821062","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 : 2021-01-01DOI: 10.31737/2221-2264-2021-50-2-4
Y. Evlakhova, E. Alifanova, A. Tregubova
This paper finds out the behavior patterns of the Russian banking sector and systemically important banks in response to changes in the population financial activity under the economic shocks. The results show that the Russian banking sector has a behavior pattern that includes the sequence of actions: the outflow of deposits — vulnerability to non-repayment of loans — deposit bubble — credit bubble. We find no consistent evidence that systemically important banks show the same sequence of actions during the crises. We also find that the banking sector behavior and systemically important banks’ behavior varied in 2008–2009, but became the same in the crisis of 2014–2015. The coincidence of behavior patterns of the banking sector and systemically important banks increases the systemic risk. Research on intragroup differences between systemically important banks will allow finding solutions to reduce the risk.
{"title":"Banks behavior patterns as a response to the population financial activity in the macroeconomic shocks in Russia","authors":"Y. Evlakhova, E. Alifanova, A. Tregubova","doi":"10.31737/2221-2264-2021-50-2-4","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-50-2-4","url":null,"abstract":"This paper finds out the behavior patterns of the Russian banking sector and systemically important banks in response to changes in the population financial activity under the economic shocks. The results show that the Russian banking sector has a behavior pattern that includes the sequence of actions: the outflow of deposits — vulnerability to non-repayment of loans — deposit bubble — credit bubble. We find no consistent evidence that systemically important banks show the same sequence of actions during the crises. We also find that the banking sector behavior and systemically important banks’ behavior varied in 2008–2009, but became the same in the crisis of 2014–2015. The coincidence of behavior patterns of the banking sector and systemically important banks increases the systemic risk. Research on intragroup differences between systemically important banks will allow finding solutions to reduce the risk.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"33 1","pages":"74-95"},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69819339","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 : 2021-01-01DOI: 10.31737/2221-2264-2021-51-3-7
I. Shubin
Economic complexity, according to the results of various studies at the country level, can be used as an indicator of economic development: more developed countries usually have a higher level of economic complexity. For Russian regions, the relationship between economic complexity, the level of innovative development and investment attractiveness is also revealed. This paper identifies the correlation between the complexity of export and the level of economic development for Russian regions and their separated more homogeneous groups. The results obtained by the author for regions of Russia contradict the rule identified for countries. For all Russian regions, there is a slight inverse correlation between the complexity of export and the value of per capita GRP. A slight positive correlation was found only for regions with a low export-to-GRP ratio and a high level of economic complexity. Such results are explained by the simple structure of Russian export, because of this the main recipients of export income are regions with a lower level of economic complexity — mainly oil and gas producing regions, as well as capitals that act as intermediaries.
{"title":"Correlation between economic complexity and economic development in different types of Russian regions","authors":"I. Shubin","doi":"10.31737/2221-2264-2021-51-3-7","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-51-3-7","url":null,"abstract":"Economic complexity, according to the results of various studies at the country level, can be used as an indicator of economic development: more developed countries usually have a higher level of economic complexity. For Russian regions, the relationship between economic complexity, the level of innovative development and investment attractiveness is also revealed. This paper identifies the correlation between the complexity of export and the level of economic development for Russian regions and their separated more homogeneous groups. The results obtained by the author for regions of Russia contradict the rule identified for countries. For all Russian regions, there is a slight inverse correlation between the complexity of export and the value of per capita GRP. A slight positive correlation was found only for regions with a low export-to-GRP ratio and a high level of economic complexity. Such results are explained by the simple structure of Russian export, because of this the main recipients of export income are regions with a lower level of economic complexity — mainly oil and gas producing regions, as well as capitals that act as intermediaries.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69819756","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 : 2021-01-01DOI: 10.31737/2221-2264-2021-51-3-2
N. V. Bogoroditskaya
In this paper I consider a mixed duopoly where a private firm competes with a public one. The private firm maximizes its profit and the public firm maximizes social welfare. R&D investments of firms are subsidized by the government, profits of both firms are taxed and the private firm might evade taxes. It is shown that tax evasion (decision not to declare part of profit) directly affects a rate of the optimal R&D subsidy and makes it dependent on a profit tax rate. While making a choice on the rate of the R&D subsidy the government takes into account both positive and negative effects of the subsidy on social welfare. On the one hand the R&D subsidy results in a decrease in total production costs because an allocation of total output between two firms is improved; on the other hand it results in an increase in social costs of tax evasion. The optimal R&D subsidy decreases with an increase in a profit tax rate and increases with an increase in tax evasion costs. An equilibrium allocation is not efficient, but an increase in tax evasion costs leads to the reduction of difference between efficient and equilibrium welfare levels.
{"title":"Tax evasion and R&D subsidy in a mixed market","authors":"N. V. Bogoroditskaya","doi":"10.31737/2221-2264-2021-51-3-2","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-51-3-2","url":null,"abstract":"In this paper I consider a mixed duopoly where a private firm competes with a public one. The private firm maximizes its profit and the public firm maximizes social welfare. R&D investments of firms are subsidized by the government, profits of both firms are taxed and the private firm might evade taxes. It is shown that tax evasion (decision not to declare part of profit) directly affects a rate of the optimal R&D subsidy and makes it dependent on a profit tax rate. While making a choice on the rate of the R&D subsidy the government takes into account both positive and negative effects of the subsidy on social welfare. On the one hand the R&D subsidy results in a decrease in total production costs because an allocation of total output between two firms is improved; on the other hand it results in an increase in social costs of tax evasion. The optimal R&D subsidy decreases with an increase in a profit tax rate and increases with an increase in tax evasion costs. An equilibrium allocation is not efficient, but an increase in tax evasion costs leads to the reduction of difference between efficient and equilibrium welfare levels.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69819927","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 : 2021-01-01DOI: 10.31737/2221-2264-2021-52-4-3
O. A. Guseva, A. Stepanova
During two decades the Russian government has invested heavily in support of high-tech startups. However, considering high level of information opacity of startups, we focus on equity as the primary source of their financing, and on owners as the main source of support for such firms. This paper examines how ownership characteristics affect the performance of high-tech performance of startups in nuclear and space industries. We focus on how different types of owners (founders, state, and venture capital) contribute to performance of startups in nuclear and space industries. Using an unbalanced panel of startups from Skolkovo, the largest Russian innovation cluster, from 2010 to 2016, we found evidence of a negative relationship between a support from government-related organizations and chosen indicators of startup performance. Our findings confirmed the significant impact of private venture capital on startup performance, however the effect is industry-specific. While family equity contributions were not found to have a significant impact on startup performance, we identified a positive relationship between owner or CEO change and future startup performance. We discuss potential interpretations of the findings and provide strategic management insights for startup owners and investors.
{"title":"Startups in Russia: Ownership and performance","authors":"O. A. Guseva, A. Stepanova","doi":"10.31737/2221-2264-2021-52-4-3","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-52-4-3","url":null,"abstract":"During two decades the Russian government has invested heavily in support of high-tech startups. However, considering high level of information opacity of startups, we focus on equity as the primary source of their financing, and on owners as the main source of support for such firms. This paper examines how ownership characteristics affect the performance of high-tech performance of startups in nuclear and space industries. We focus on how different types of owners (founders, state, and venture capital) contribute to performance of startups in nuclear and space industries. Using an unbalanced panel of startups from Skolkovo, the largest Russian innovation cluster, from 2010 to 2016, we found evidence of a negative relationship between a support from government-related organizations and chosen indicators of startup performance. Our findings confirmed the significant impact of private venture capital on startup performance, however the effect is industry-specific. While family equity contributions were not found to have a significant impact on startup performance, we identified a positive relationship between owner or CEO change and future startup performance. We discuss potential interpretations of the findings and provide strategic management insights for startup owners and investors.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69820875","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 : 2021-01-01DOI: 10.31737/2221-2264-2021-52-4-12
N. Akindinova, D. A. Avdeyeva, N. Kondrashov, S. Misikhina, S. Smirnov
The article puts forward the thesis that the COVID-19 recession has already passed, which makes it possible to make some other conclusions . It is emphasized that the recession was triggered mainly by temporary restrictions on social contacts and mobility that were “external” to the economy. For Russia, it was aggravated by discords among the OPEC+ members. It is established that the 2020 drop of economic activity turned out to be unprecedentedly deep and unprecedentedly short, in some cases even less than one quarter. Compared to other countries, Russia passed the crisis quite successfully, although the size of the Russian stimulus package was much smaller than in the most developed countries. It is noticed that around the world quite fast recovery began immediately after the mitigation of lockdowns. Relatively recent data allowed us to conclude that by mid–2021, most emerging economies, including Russia, had reached pre-pandemic levels. It is shown that most forecasts agree that in 2021 (and partly in 2022) there will be an accelerated recovery and then the main macroeconomic indicators will return to pre-recession trajectories. At the same time, the changes in consumer preferences and business models triggered by the pandemic can lead to sustainable shifts in the sectoral structure of economies.
{"title":"Macroeconomic consequences of the COVID-19 pandemic","authors":"N. Akindinova, D. A. Avdeyeva, N. Kondrashov, S. Misikhina, S. Smirnov","doi":"10.31737/2221-2264-2021-52-4-12","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-52-4-12","url":null,"abstract":"The article puts forward the thesis that the COVID-19 recession has already passed, which makes it possible to make some other conclusions . It is emphasized that the recession was triggered mainly by temporary restrictions on social contacts and mobility that were “external” to the economy. For Russia, it was aggravated by discords among the OPEC+ members. It is established that the 2020 drop of economic activity turned out to be unprecedentedly deep and unprecedentedly short, in some cases even less than one quarter. Compared to other countries, Russia passed the crisis quite successfully, although the size of the Russian stimulus package was much smaller than in the most developed countries. It is noticed that around the world quite fast recovery began immediately after the mitigation of lockdowns. Relatively recent data allowed us to conclude that by mid–2021, most emerging economies, including Russia, had reached pre-pandemic levels. It is shown that most forecasts agree that in 2021 (and partly in 2022) there will be an accelerated recovery and then the main macroeconomic indicators will return to pre-recession trajectories. At the same time, the changes in consumer preferences and business models triggered by the pandemic can lead to sustainable shifts in the sectoral structure of economies.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69820964","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 : 2021-01-01DOI: 10.31737/2221-2264-2021-52-4-7
M. Kartseva, N.V. Mkrtchуan, Y. Florinskaya
There is lack of studies associating youth migration with a life course in Russia. The article aims to reveal the effect of interregional migration on the life course of young adults (23–34 y.o.) using the data from the nationally representative survey “Person, Family, Society” undertaken by RANEPA in 2020 and data from indepth interviews with young people who moved to Moscow, St. Petersburg, Tomsk, Voronezh to get higher education. In the study interregional migrants are defined as people for whom current region of residence differs from the region where they completed secondary education. Our results suggest that migration is a strong factor of personal growth for youth. The comparison of young migrants with non-migrants demonstrates that the interregional migration have a distinct positive effect on career success, income level and promote greater independence and relying on your own resources, solving housing issues among them. The comparison of young migrants and non-migrants demonstrates that the interregional migration has a distinct positive effect on career success, income level and promote greater independence and selfreliance including resolving the housing problems. At the same time migration moderately affects marriage strategies but it contributes to the postponement of childbearing.
{"title":"Interregional migration and life strategies of the Russian youth","authors":"M. Kartseva, N.V. Mkrtchуan, Y. Florinskaya","doi":"10.31737/2221-2264-2021-52-4-7","DOIUrl":"https://doi.org/10.31737/2221-2264-2021-52-4-7","url":null,"abstract":"There is lack of studies associating youth migration with a life course in Russia. The article aims to reveal the effect of interregional migration on the life course of young adults (23–34 y.o.) using the data from the nationally representative survey “Person, Family, Society” undertaken by RANEPA in 2020 and data from indepth interviews with young people who moved to Moscow, St. Petersburg, Tomsk, Voronezh to get higher education. In the study interregional migrants are defined as people for whom current region of residence differs from the region where they completed secondary education. Our results suggest that migration is a strong factor of personal growth for youth. The comparison of young migrants with non-migrants demonstrates that the interregional migration have a distinct positive effect on career success, income level and promote greater independence and relying on your own resources, solving housing issues among them. The comparison of young migrants and non-migrants demonstrates that the interregional migration has a distinct positive effect on career success, income level and promote greater independence and selfreliance including resolving the housing problems. At the same time migration moderately affects marriage strategies but it contributes to the postponement of childbearing.","PeriodicalId":43676,"journal":{"name":"Zhurnal Novaya Ekonomicheskaya Assotsiatsiya-Journal of the New Economic Association","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69821270","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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