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Regional Research of Russia

Regional Research of Russia is the sole social science English-language journal focused on the spatial development of Russia and its regions and the post-Soviet states. The journal covers issues of economic and human geography, regional geography, regional economics and sociology, spatial planning, regional policy, urban and rural studies, and geography of resource management. The journal presents scientific results gained by researchers both in Russia and abroad. It aims to promote contacts between Russian and foreign regional specialists. Although articles are devoted to regional problems of Russia and the post-Soviet space, the journal welcomes contributions from all countries . Regional Research of Russia publishes English translations of articles selected from three Russian academic journals:

  • Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya,
  • Izvestiya Russkogo Geograficheskogo Obshchestva,
  • Region: Ekonomika i Sotsiologiya.

and from other Russian-language journals on a case-by-case basis, as well as original papers. The source of each article is described at the article level on the title pages. The selection for Regional Research of Russia is made by the Editorial Board. Both original papers and the articles selected from other journals are peer-reviewed and subject to the same high standards for the quality of content, and publication ethics. The editorial policy is consistent for all parts of the journal. The journal welcomes manuscripts from all countries. PEER REVIEW AND EDITORIAL POLICY The journal follows the Springer Nature  Peer Review Policy, Process and Guidance , Springer Nature  Journal Editors' Code of Conduct , and  COPE's Ethical Guidelines for Peer-reviewers . Approximately 30% of the manuscripts are rejected without review based on formal criteria as they do not comply with the submission guidelines. Each manuscript is assigned to at least one peer reviewer. The journal follows a single-blind reviewing procedure. The period from submission to the first decision is up to 38 days. The approximate rejection rate is 20%. The final decision on the acceptance of a manuscript for publication is made by the Meeting of Editorial Board members. If Editors, including the Editor-in-Chief, publish in the journal, they do not participate in the decision-making process for manuscripts where they are listed as co-authors. Special issues published in the journal follow the same procedures as all other issues. If not stated otherwise, special issues are prepared by the members of the editorial board without guest editors.

Current Issue

Open Access

Vol 9, No 4 (2019)

  • Articles: 11
  • URL: https://journals.rcsi.science/2079-9705/issue/view/12880

Institutional Problems of Spatial Development

The legal environment and regional activity.

The specifics of the current socioeconomic situation and the state and prospects of development of Russian regions and municipalities are largely determined by the legal environment, which forms under the strongest influence of the “federal presence”—centralization of the federal government in a decentralized state. In fact, the legal field of Russian municipal activity is completely federal: the list of jurisdictions and powers is closed, the types of municipal formations are unified, and the organization of activities and resources for local self-government are established by federal laws. It has been suggested that the territorial fragmentation of the country’s unified legal space should be considered the most important characteristic of the sociopolitical and socioeconomic heterogeneity of the Russian space. The article critically assesses ideas about the possibility of solving the problems of Russia’s spatial development mainly by the formation of local points (zones) of growth. The concentration of features and problems of the functioning of regional and municipal systems under conditions of Russia’s specific legal field is characterized by Russia’s Arctic zone. In the context of their views on the territorial fragmentation of this field, the authors analyze software solutions for a new type of special legal regime, “development support zones” in Arctic territories.

pages

Structural Transformations of the Municipal Space: Substantiation of Expediency and Evaluation of Efficiency

The article discusses a set of scientific and applied problems about the meaning and bases, content, and consequences of structural transformations of the municipal space. Interest in these problems is caused by the need to search for reasons for the increased variability of the structural organization of this space, which throughout the post-Soviet period has not only undergone individual situational changes, but has repeatedly been the object of intensive and ubiquitous targeted state (at federal and regional levels) transformations that have had a contradictory nature of the reciprocating pulsations according to the reform–counterreform scheme. A retrospective analysis of the mass transformations in the territorial organization of local self-government that consistently took place in the 1990s, 2000s, and 2010s leads to such conclusions. The author clarifies the reasons for the three quantitative and structural transformations opposite in meaning and fundamental in their consequences over such a short period, the requisite criteria (economic, financial, legal, etc.) for which formed the basis for the choice of spatial configuration variants, which rapidly replaced one another and were the results of changes. Russian processes of spatial transformation of the system of local self-government are compared with similar foreign practice. The fundamental possibility and availability of theoretical bases for formulating and solving the problem of rational determination of the spatial scale of municipalities (configuration of the municipal space) are clarified, and a conceptual approach, criteria, and methodological bases for systemic assessment of the prerequisites and efficiency of structural transformations of the municipal space are discussed.

Spatial Studies

Approaches to identifying the periphery and peripheralization in the space of modern russia.

The article addresses problems of the periphery and peripheralization of Russia’s spatial development, a significant part of which experienced negative socioeconomic development during the transition to a market economy and continues to struggle at present. Theoretical approaches of Russian and foreign authors to defining the concepts of periphery and peripheralization of space are considered. By comparative analysis and systematization, the authors have identified the six basic approaches researchers use to define the term periphery: positional, functional, problematical, generative-translational, social, and subjective. The content and features of each approach are also revealed. The authors have highlighted such basic properties of the periphery as multiform remoteness, economic degradation, social marginalization, multiscale character, migration outflow, ubiquity, relativity, and weak involvement in global economic relations. A system of indicators is proposed that characterize the periphery in accordance with the identified approaches. The spatial development of individual centers of Russia along with degradation of most of its territory significantly actualizes the question on the future of the Russian periphery and its impact on the spatial development of the country as a whole. Due to its own weak potential, the Russian periphery cannot independently attract socioeconomic development and requires strengthening of state regulation measures based on the competitive advantages of each territory.

Territorial Structure of the Russian Digital Economy: Preliminary Delimitation of Smart Urban Agglomerations and Regions

The fourth industrial revolution will form a new digital economy in Russia, dominated by smart objects (factories, transport, roads, buildings, etc.) with artificial intelligence systems. There are currently no studies on identifying the territorial structure of Russia’s future digital economy. Due to the inertia of the existing settlement system and the agglomeration economy, it has been assumed that the future territorial structure will be represented by smart urban agglomerations and regions. It has been established that the most critical parameter for controlling smart objects is signal delay in telecommunication networks. It has been proposed to draw the borders of digital agglomerations and regions based on isochrons of 1 and 10 ms delays with adjustment of borders for the extreme proximity or remoteness of regional centers. The signal delay between 1112 cities of Russia has been determined. Forty-three digital agglomerations and 45 regions were selected. The results can be used to create a development strategy for Russia’s digital economy.

Regional Development

Old-developed regions of the russian center in the shadow of the moscow capital region.

This paper discusses Moscow’s influence on the regions surrounding Moscow oblast in terms of various parameters associated with changes in the population size of cities and rural areas, economic activity, employment, mobility of the population, land use, and dacha development. Located relatively close to Moscow and enjoying no advantages of the nearby Moscow suburbs, the regions around Moscow oblast are nonetheless strongly influenced by the capital. The historical waves of city formation around the metropolitan region and population dynamics in the 20th and 21st centuries are shown. The post-Soviet transformation strongly polarized cities depending on their size and position with respect to the Moscow region. The invariance of the suburban–peripheral organization of the countryside, which experienced a strong contraction in land use, is revealed. However, against the fields abandoned and overgrown with forest, a new industrial agriculture with a small number of employees was actively developing here in separate areas, aimed at supplying Moscow and the entire country. A small private economy has been decreasing under prolonged, intensive decline in the rural population and expansion of non-agricultural earning opportunities in the Moscow region. This territory is characterized by the most active labor commutes to Moscow and Moscow oblast, which often provide informal employment for the populations of small towns and rural areas. Competitors of the Moscow region, although weaker, are the capitals of the surrounding regions. The share of the temporary dacha population in the summer months in many areas, especially those adjacent to Moscow oblast, is higher than that of the local rural one. The polarized development of cities depending on the proximity to the Moscow metropolitan area and point-type industrialization of the rural economy, combined with the massive development of seasonal dacha recreation, is the main route for development of this large territory.

Regional Investment Policy: How to Overcome the Path Dependence

The article is devoted to investment policy, in its most interesting case when it is designed to change the path of a region’s development established over decades. The grassroots innovative potential of investment policy is shown, which is understood as the plans and intentions of local entrepreneurs who are able, independently or with state support, to make investments in new areas of development. Their investment potential, as a rule, is not comparable with large corporate structures, federal development institutions, or federal programs; however, the quality of their investment in terms of ability to ensure the transition of a city or even a region from an inertial development path to a new one can be significantly higher. A broader interpretation of regional investment policy is proposed, which takes into account not only traditional large actors, but also small ones. The need for close coordination of investment policy and business support policy is substantiated. Overcoming path dependence is understood as a change in the existing specialization of a region’s development. One could scarcely hope for an immediate change in regional specialization under the pressure of globalization; it is more realistic to see the prospects of cities and settlements gaining new microspecialization as a result of implementing innovative small business projects proposed by small and medium-sized enterprises that open up new directions for the local economy. Then, when the success of new business projects has been developed by other entrepreneurs or when an enterprise lucky enough to choose a promising new direction of local development has become a gazelle company and entered foreign markets, it would be possible to consolidate the sprouts of new local specialization in regional specialization .

Social Geography

Territorial mobility of the russian population in the context of social dynamics.

Migration of working-age people is considered in regards to intergenerational social mobility. The latter is understood as an improvement in one’s level of education, material well-being, or job position compared to the corresponding characteristics of one’s parents. Migration is a powerful social elevator: often search for a better job motivates people to move. The aim of the article is to estimate the impact of place of residence change on social dynamics. The study is based on data from the regular all-Russian sociological survey “Person, Family, Society” (PFS). To define social classes we apply stratification methodology based on three domains of criteria—wealth, socio-professional status, and subjective indicators. Among social strata the middle class is the least mobile, while the lower class demonstrates the highest territorial mobility. Most often, moving to another locality takes place due to family circumstances, and this kind of migration is the most typical for the lower class. The hypothesis about the positive impact of any migration on socioeconomic growth has not been confirmed by PFS data. However, relocations for study lead to upward intergenerational mobility in education and employment status. Migration for family reasons has an opposite effect: all else being equal, it reduces a person’s chances to surpass her/his parents in terms of wealth and level of education.

People and Money: Incomes, Consumption, and Financial Behavior of the Population of Russian Regions in 2000–2017

Macroeconomic dynamics affects regional population incomes and the poverty level: positive changes in the regional distribution of these indicators slowed in the 2010s, and during the 2014–2017 crisis, there was a negative trend, which was more appreciable in the poverty level. Income dynamics has a stronger effect on consumption patterns and a weaker effect on the financial behavior of the population. The share of food expenditures declined in all regions until the 2014 crisis; it was minimal in the most developed regions. The structural shift in spending in favor of durable goods, including housing, is far from complete in most regions. The increase in expenditure on services is largely mandatory, due to the increase in utility rates; regional differences are small, with the exception of regions of the Far North. The spendings for reproducing human capital is low and varies slightly by region. The population of “wealthy” regions prefers to spend money on recreation and entertainment, but these expenses contract during income crises. Savings behavior is the most developed in the largest federal cities. Overdue debt on loans is higher in underdeveloped low-income republics and in resource-producing regions, where the population seeks to maintain consumption level by taking out loans. The basic factor of changes in the structure of consumption and in financial behavior are people’s incomes, but they are insufficient to explain regional differences; it is necessary to take into account demographic, settlement pattern, and institutional factors.

Urban Development

Largest urban agglomerations and forms of settlement pattern at the supra-agglomeration level in russia.

The paper analyzes the development trends of Russia’s largest urban agglomerations following the last census, in the period 2010–2018. According to the methodology, based on the functional and settlement pattern approach and the isochrons of transport accessibility of agglomeration cores, the boundaries were delimited and the population dynamics and development coefficient of Russia’s 36 largest urban agglomerations (with cores in cities or in a group (for several geographically close centers) having populations close to 500 000 people). The calculation results are presented for four delimitation variants, from minimum to maximum, the latter based on E.E. Leizerovich’s microzoning grid. For the given period, the number of urban agglomerations was not redistributed between the classes of development and the number of developed agglomerations remains low. The study reveals the trends of continued population concentration in the largest agglomerations and their cores. The case study of the Moscow metropolitan agglomeration illustrates the monocentric character of most of the largest agglomerations. A study of the higher supra-agglomeration structure—of the Central Russian Megalopolis—revealed its fragmentation and the lack of development of lower-level agglomeration formations.

The Moscow Social Space: Features and Structure

The article presents the results of a study on analyzing intracity differences in Moscow. The concept of “social space” as a dual reality is used as the theoretical framework of the work, derived simultaneously from social relations and properties of an urban area. In the study, heterogeneous quantitative indicators were used for each of Moscow’s 125 districts. Sources of information are a census; current socioeconomic, demographic, migration, and electoral statistics; real estate data; surveys of residents in districts of the city. Based on these, the indices of the ethnic mosaic, demographic shifts, development of the urban amenities, people’s moods, and the reputation of place are calculated; districts are categorized by typology, taking into account factors of location and territorial proximity; maps are compiled, reflecting different dimensions of the city’s social space. Comparative analysis showed that the rather egalitarian social space of Soviet Moscow in past years has become more fragmented and polarized: the boundaries of differences have become more marked. The increase in unevenness has led to tangible divisions in improvement of the urban environment, saturation of the urban well-being of some districts, and the impoverishment of others. The authors conclude that, in order to reduce the risks of urban segregation, it is necessary to strengthen the coherence of the urban space and social environments, and to bring the level of diversity of the urban environment in line with that of the population of Moscow districts. Such policies and activity are most required where rapid growth of ethnocultural diversity occurs against a lack of development, relative transport isolation of districts, and social exclusion.

Coastal Cities and Agglomerations in the Innovative Space of Western Russia

A wide range of scientific studies worldwide reflects the influence of the coastal situation factor. The shift of socioeconomic activity and the settlement system to the sea and ocean coasts forms the prerequisites for changing the national innovation landscape. The paper revolves around coastal cities and agglomerations in western Russia based on how they influence innovation processes. The authors present a typology and emphasize the characteristics of the key coastal cities and agglomerations in European Russia as transformational elements of the innovation space. It is revealed that the tourist, marine, transport and logistics, trade and distribution, and industrial components control the strategic relevance of cities and urban agglomerations in European Russia in the development of Russia’s territorial social system. Their role as a transformational element of the innovation space is not quite obvious, unlike similar agglomerations in foreign countries. Innovation support institutions are just beginning to form; they have appeared in the largest agglomerations in the early 2000s, and over the past few years in remaining cities considered. Currently, it is still difficult to assess the contribution of these institutions to the formation of Russian cities as innovation drivers. The authors offer indicators that demonstrate this important city activity. Based on the scoring method, coastal cities and agglomerations in European Russia have been divided into four groups: generator cities, starting generator cities, cities with the potential to generate innovative processes, and cities with weak potential. It was found that cities launch innovative processes precisely through strategic innovations (support institutions, technological environment, and agent operators). At the same time, not only the largest cities have great opportunities, but also individual regional centers integrated into regional development programs and actively force the transition to the smart city platform.

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Regional Research of Russia

regional research of russia

Subject Area and Category

  • Earth and Planetary Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Environmental Science (miscellaneous)
  • Cultural Studies
  • Geography, Planning and Development
  • Public Administration
  • Urban Studies

Pleiades Publishing

Publication type

20799705, 20799713

Information

How to publish in this journal

[email protected]

regional research of russia

The set of journals have been ranked according to their SJR and divided into four equal groups, four quartiles. Q1 (green) comprises the quarter of the journals with the highest values, Q2 (yellow) the second highest values, Q3 (orange) the third highest values and Q4 (red) the lowest values.

CategoryYearQuartile
Cultural Studies2022Q1
Cultural Studies2023Q1
Earth and Planetary Sciences (miscellaneous)2012Q3
Earth and Planetary Sciences (miscellaneous)2013Q4
Earth and Planetary Sciences (miscellaneous)2014Q3
Earth and Planetary Sciences (miscellaneous)2015Q3
Earth and Planetary Sciences (miscellaneous)2016Q3
Earth and Planetary Sciences (miscellaneous)2017Q3
Earth and Planetary Sciences (miscellaneous)2018Q3
Earth and Planetary Sciences (miscellaneous)2019Q3
Earth and Planetary Sciences (miscellaneous)2020Q2
Earth and Planetary Sciences (miscellaneous)2021Q2
Earth and Planetary Sciences (miscellaneous)2022Q3
Earth and Planetary Sciences (miscellaneous)2023Q3
Economics, Econometrics and Finance (miscellaneous)2019Q2
Economics, Econometrics and Finance (miscellaneous)2020Q2
Economics, Econometrics and Finance (miscellaneous)2021Q2
Economics, Econometrics and Finance (miscellaneous)2022Q2
Economics, Econometrics and Finance (miscellaneous)2023Q2
Environmental Science (miscellaneous)2019Q3
Environmental Science (miscellaneous)2020Q2
Environmental Science (miscellaneous)2021Q2
Environmental Science (miscellaneous)2022Q3
Environmental Science (miscellaneous)2023Q3
Geography, Planning and Development2012Q4
Geography, Planning and Development2013Q4
Geography, Planning and Development2014Q4
Geography, Planning and Development2015Q3
Geography, Planning and Development2016Q3
Geography, Planning and Development2017Q3
Geography, Planning and Development2018Q3
Geography, Planning and Development2019Q3
Geography, Planning and Development2020Q2
Geography, Planning and Development2021Q2
Geography, Planning and Development2022Q2
Geography, Planning and Development2023Q2
Public Administration2019Q3
Public Administration2020Q2
Public Administration2021Q2
Public Administration2022Q3
Public Administration2023Q3
Urban Studies2019Q2
Urban Studies2020Q2
Urban Studies2021Q2
Urban Studies2022Q2
Urban Studies2023Q2

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

YearSJR
20120.139
20130.122
20140.150
20150.265
20160.209
20170.213
20180.320
20190.253
20200.417
20210.426
20220.344
20230.331

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

YearDocuments
201145
201243
201355
201446
201544
201640
201740
201838
201940
202057
202173
202266
202374

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per documentYearValue
Cites / Doc. (4 years)20110.000
Cites / Doc. (4 years)20120.067
Cites / Doc. (4 years)20130.080
Cites / Doc. (4 years)20140.091
Cites / Doc. (4 years)20150.249
Cites / Doc. (4 years)20160.324
Cites / Doc. (4 years)20170.459
Cites / Doc. (4 years)20180.671
Cites / Doc. (4 years)20190.728
Cites / Doc. (4 years)20200.937
Cites / Doc. (4 years)20211.097
Cites / Doc. (4 years)20221.385
Cites / Doc. (4 years)20230.856
Cites / Doc. (3 years)20110.000
Cites / Doc. (3 years)20120.067
Cites / Doc. (3 years)20130.080
Cites / Doc. (3 years)20140.091
Cites / Doc. (3 years)20150.264
Cites / Doc. (3 years)20160.379
Cites / Doc. (3 years)20170.415
Cites / Doc. (3 years)20180.742
Cites / Doc. (3 years)20190.746
Cites / Doc. (3 years)20200.890
Cites / Doc. (3 years)20211.126
Cites / Doc. (3 years)20221.447
Cites / Doc. (3 years)20230.878
Cites / Doc. (2 years)20110.000
Cites / Doc. (2 years)20120.067
Cites / Doc. (2 years)20130.080
Cites / Doc. (2 years)20140.082
Cites / Doc. (2 years)20150.287
Cites / Doc. (2 years)20160.344
Cites / Doc. (2 years)20170.452
Cites / Doc. (2 years)20180.925
Cites / Doc. (2 years)20190.705
Cites / Doc. (2 years)20200.897
Cites / Doc. (2 years)20211.165
Cites / Doc. (2 years)20221.331
Cites / Doc. (2 years)20230.755

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

CitesYearValue
Self Cites20110
Self Cites20123
Self Cites20131
Self Cites20144
Self Cites201515
Self Cites201626
Self Cites201715
Self Cites201827
Self Cites201929
Self Cites202013
Self Cites202140
Self Cites202296
Self Cites202358
Total Cites20110
Total Cites20123
Total Cites20137
Total Cites201413
Total Cites201538
Total Cites201655
Total Cites201754
Total Cites201892
Total Cites201988
Total Cites2020105
Total Cites2021152
Total Cites2022246
Total Cites2023172

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

CitesYearValue
External Cites per document20110
External Cites per document20120.000
External Cites per document20130.068
External Cites per document20140.063
External Cites per document20150.160
External Cites per document20160.200
External Cites per document20170.300
External Cites per document20180.524
External Cites per document20190.500
External Cites per document20200.780
External Cites per document20210.830
External Cites per document20220.882
External Cites per document20230.582
Cites per document20110.000
Cites per document20120.067
Cites per document20130.080
Cites per document20140.091
Cites per document20150.264
Cites per document20160.379
Cites per document20170.415
Cites per document20180.742
Cites per document20190.746
Cites per document20200.890
Cites per document20211.126
Cites per document20221.447
Cites per document20230.878

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

YearInternational Collaboration
20110.00
20120.00
20130.00
201410.87
20152.27
20162.50
20170.00
20182.63
20195.00
20203.51
20214.11
20223.03
20234.05

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

DocumentsYearValue
Non-citable documents20110
Non-citable documents20121
Non-citable documents20131
Non-citable documents20141
Non-citable documents20150
Non-citable documents20160
Non-citable documents20170
Non-citable documents20180
Non-citable documents20190
Non-citable documents20200
Non-citable documents20210
Non-citable documents20220
Non-citable documents20230
Citable documents20110
Citable documents201244
Citable documents201387
Citable documents2014142
Citable documents2015144
Citable documents2016145
Citable documents2017130
Citable documents2018124
Citable documents2019118
Citable documents2020118
Citable documents2021135
Citable documents2022170
Citable documents2023196

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

DocumentsYearValue
Uncited documents20110
Uncited documents201242
Uncited documents201381
Uncited documents2014130
Uncited documents2015114
Uncited documents2016112
Uncited documents201795
Uncited documents201870
Uncited documents201968
Uncited documents202063
Uncited documents202155
Uncited documents202276
Uncited documents2023106
Cited documents20110
Cited documents20123
Cited documents20137
Cited documents201413
Cited documents201530
Cited documents201633
Cited documents201735
Cited documents201854
Cited documents201950
Cited documents202055
Cited documents202180
Cited documents202294
Cited documents202390

Evolution of the percentage of female authors.

YearFemale Percent
201147.83
201250.00
201351.52
201458.00
201544.23
201652.00
201748.53
201851.79
201955.22
202050.00
202158.59
202247.06
202351.46

Evolution of the number of documents cited by public policy documents according to Overton database.

DocumentsYearValue
Overton20110
Overton20120
Overton20130
Overton20140
Overton20150
Overton20160
Overton20170
Overton20180
Overton20190
Overton20200
Overton20210
Overton20220
Overton20230

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

DocumentsYearValue
SDG201826
SDG201924
SDG202036
SDG202152
SDG202244
SDG202352

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, 2021, vol. 11, issue 2, 230-243

Abstract— Official Chinese statistics data were applied to analyze the dynamics and structure of trade interactions between regions of China and Russia; the border effect on export and import flows was estimated. The analysis showed that import flows from Russia to China are distinguished by a significantly greater uneven distribution between Chinese regions as compared to export ones. Assessment of the gravity dependences indicated that, compared with other countries, the border effect on exports from Chinese regions to Russia was characterized by rather high values, and the barriers hindering access of Russian products to the markets of Chinese regions were higher in ad valorem equivalent than for other foreign countries. Based on the estimates obtained, it was revealed that in recent years, the import of Russian products to Chinese regions has faced large barriers compared to export of products from Chinese regions to the Russian market. It has been determined that with the leveling of barriers, the advantages of access to the Russian market will further strengthen the coastal Chinese regions, and exports to Russia may become even more uneven between Chinese regions. It is shown that with a significant reduction in barriers, imports from Russia to Chinese regions can increase due to an increase in the supply of Russian products to almost all Chinese regions. The estimates give grounds to state that Russian suppliers need to diversify the supply of goods between Chinese regions in order to bypass intermediaries and develop new regional sales markets in China.

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  • DOI: 10.1134/s2079970520010025
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Fiscal Differentiation of Russian Regions: Scope and Dynamics

  • VARIATIONS IN SOCIOECONOMIC DEVELOPMENT BY REGION
  • Published: 27 November 2023
  • Volume 13 , pages 682–690, ( 2023 )

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  • N. V. Zubarevich 1 , 2 &
  • S. G. Safronov 1  

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Measurement of the budget differentiation of regions for 2006–2022 revealed a complex and heterogeneous picture. There was a shift in the distribution of taxes between the levels of the budget system in favor of the federal budget. However, the reduction in the tax base of more developed regions did not lead to a significant reduction in inequality in budget revenues. There is no general trend in the dynamics of various taxes: in terms of income tax, the differentiation of regions slightly decreased, while for personal income tax, property taxes, and small business taxes it increased. This is a consequence of a complex of factors acting in different directions. The impact of crises on tax revenues to regional budgets is ambiguous. In the 2009, 2015, 2020, and 2022 crises, the inequality dynamics varied across different types of taxes. The leveling effect of transfers was significant only during the 2009 and 2020 crises due to the sharp increase in their volumes. The differentiation of regions is maximum for taxes received by the federal budget, much less for regional budget revenues, and relatively small for budget expenditures on education and social policy. Inequality between regions for per capita expenditures of regional budgets remains very high, despite some mitigation over the past 15 years due to a reduction in the backlog of less developed regions. Reducing the gap in per capita expenditures from the average for federal subjects is more significant for the regions of the Far East, the North Caucasus and most regions of the Center.

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Data on the execution of consolidated budgets of the regions for 2022 were obtained from the Electronic Budget system.

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Introduction, parts 1–2 and 5–6 of section “Results” were prepared by N.V. Zubarevich as part of research work of the state task of RANEPA. Part 3–4 of the section “Results” were prepared by S.G. Safronov within the state budget research topic of the Faculty of Geography of Moscow State University no 1.17 “Modern Dynamics and Factors of Socioeconomic Development of Regions and Cities of Russia and the Countries of the Near Abroad.”

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Zubarevich, N.V., Safronov, S.G. Fiscal Differentiation of Russian Regions: Scope and Dynamics. Reg. Res. Russ. 13 , 682–690 (2023). https://doi.org/10.1134/S2079970523700971

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  7. Regional Research of Russia, Springer

    1-12 Regional Inequality in Russia: Anatomy of Convergence by K. P. Gluschenko 13-24 Importance of a Region's Research Environment for the Development of High-Tech and Knowledge-Intensive Companies by S. R. Khalimova 25-39 Moscow Oblast: Territorial Structure of Post-Soviet Transformations by A. G. Makhrova & T. G. Nefedova & A.I. Treivish

  8. Regional Research of Russia, Springer

    117-126 Decomposition of Tax Revenue Growth in Russian Regions by M. Yu. Malkina & R. V. Balakin ; 127-134 Study of Spatial Effects in the Regional Labor Productivity Dynamics by A. N. Bufetova ; 135-142 Trends in the Territorial Organization of Industry in Post-Soviet Russia and Their Potential Environmental Consequences by N. N. Klyuev ; 143-155 Unevenness and Structural Diversity of the ...

  9. Regional Research of Russia

    Regional Research of Russia is the sole social science English-language journal focused on the spatial development of Russia and its regions and the post-Soviet states.The journal covers issues of economic and human geography, regional geography, regional economics and sociology, spatial planning, regional policy, urban and rural studies, and geography of resource management.

  10. Regional Research of Russia, Springer

    281-291 Features of regional economic development in Russia in 1999-2013 by Yu. S. Yershov ; 292-303 Russian agricultural resources and the geography of their use in import-substitution conditions by T. G. Nefedova ; 304-313 Regional disparities in the development of banking institutions by S. D. Ageeva & A. V. Mishura ; 314-322 Chain retailing: Interregional differences and the role of ...

  11. Regional Research of Russia

    Regional Research of Russia | Read 593 articles with impact on ResearchGate, the professional network for scientists. Published by Pleiades Publishing Print ISSN: 2079-9705

  12. Trade Barriers Between Chinese Regions and Russia

    Regional Research of Russia, 2021, vol. 11, issue 2, 230-243. Abstract: Abstract— Official Chinese statistics data were applied to analyze the dynamics and structure of trade interactions between regions of China and Russia; the border effect on export and import flows was estimated. The analysis showed that import flows from Russia to China ...

  13. The future of research collaborations involving Russia

    From 1 December 2020 to 30 November 2021, just 7.5% of Russia's research papers that are tracked by the Nature Index related to earth and environmental sciences, and before the invasion of ...

  14. Regional Research of Russia

    The Impact IF 2023 of Regional Research of Russia is 0.76, which is computed in 2024 as per its definition. Regional Research of Russia IF is decreased by a factor of 0.32 and approximate percentage change is -29.63% when compared to preceding year 2022, which shows a falling trend.

  15. Volumes and issues

    Issue 4 December 2022. Issue 1 supplement December 2022. Special Issue: Old-Developed Areas in the Space of Russia, Guest Editors: T.G. Nefedova and A.V. Starikova. Issue 3 September 2022. Issue 2 June 2022. Issue 1 March 2022. Russian Human Geography of the Early 21st Century: Studying New Processes and Using New Opportunities.

  16. Regional Research of Russia

    Regional Research of Russia | Scientific journals We recommend that you familiarize yourself with the samples of manuscripts and follow the format that most closely matches the subject of the manuscript. Please note also that the style of references to cited literature may vary from one journal to another.

  17. Kennan Institute

    The Kennan Institute is the premier US center for advanced research on Eurasia and the oldest and largest regional program at the Woodrow Wilson International Center for Scholars. The Kennan Institute is committed to improving American understanding of Russia, Ukraine, Central Asia, the South Caucasus, and the surrounding region though research and exchange.

  18. Regional Research of Russia : Impact Factor & More

    Get access to Regional Research of Russia details, impact factor, Journal Ranking, H-Index, ISSN, Citescore, Scimago Journal Rank (SJR). Check top authors, submission guidelines, Acceptance Rate, Review Speed, Scope, Publication Fees, Submission Guidelines at one place. Improve your chances of getting published in Regional Research of Russia with Researcher.Life.

  19. The regional and global impact of the Russian invasion of Ukraine

    At the time of writing, there have been 2700 civilian casualties, including 1000 deaths (actual numbers are likely to be much higher), since the unprovoked Russian invasion of Ukraine on February 24, 2022. More than 3·6 million Ukrainian civilians have fled as refugees, mostly women and children (men aged 18-60 years are not permitted to leave the country). Cities, hospitals, and vital ...

  20. Regional perspective on prospects and risks of the renewable energy in

    The survey was administered in Russia among research scientists of Ural Federal University specializing in economic, managerial, and technical aspects of the energy sector, 84, 85 leading experts of Russian energy companies-partners of the university, 86-89 as well as independent consultants and foreign scientists specializing in the study of ...

  21. Russia, Turkey and the Spectre of Regional Instability

    Russia, Turkey and the Spectre of Regional Instability. The paper explores how instability triggered by the invasion could possibly affect the relationship between Moscow and Ankara. by Dimitar Bechev. published by. Al Sharq Strategic Research on April 13, 2022. program

  22. Inclusive Growth and Regional Sustainability of Russia

    Regional Research of Russia; Abstract The article presents a methodology for assessing inclusive growth in Russian regions by constructing an integral index. We sought to understand how economic growth, based on high energy prices over several years, led to a smoothing of inequalities and reduction in poverty and environmental pressures in ...

  23. From the Editors

    The mission of Regional Research of Russia, which is published in English, is precisely to acquaint foreign readership with the best works on human geography, regional economics and sociology, spatial planning, regional policy, studies of cities and rural areas of Russia and its regions, and other countries of the former USSR.The authors therein are primarily Russian specialists, but the ...

  24. Russian drones pound power system in Sumy region town, 14 people hurt

    KYIV (Reuters) - Russian drones inflicted significant damage to the northern Ukrainian town of Konotop's energy infrastructure in an overnight attack that injured at least 14 people and cut ...

  25. Public Opinion in Russia Falls as Citizens Experience Reality of War

    Executive Summary: Despite fear of punishment for voicing opposition and the Kremlin's aggressive propaganda, public support for its war in Ukraine has waned, especially as those returning from the front expose the reality of the conflict. Research indicates that Russians increasingly prioritize regional issues over the war. A "gray zone" of apathetic citizens could potentially shift ...

  26. Research Assistant, Russia and Europe

    The United States Institute of Peace seeks a Research Assistant to provide research and writing support to the Center for Russia and Europe (CRE). Applicants must be organized, analytical ...

  27. Russia in the Global Natural and Ecological Space

    However, during this time, Russia has significantly reduced its share in world production. For 1990-2017, Russia's share in global coal production decreased from 8.5 to 5.7%; oil, from 17.1 to 12.6%; and natural gas, from 31 to 19%. And Russian extraction of peat and oil shale has declined many times over.

  28. Russian Drones Pound Power System in Sumy Region Town, 14 People Hurt

    Reuters. A view shows a residential building damaged during a Russian drone strike, amid Russia's attack on Ukraine, in the town of Konotop, Sumy region, Ukraine September 12, 2024.

  29. Fiscal Differentiation of Russian Regions: Scope and Dynamics

    Regional Research of Russia - Measurement of the budget differentiation of regions for 2006-2022 revealed a complex and heterogeneous picture. ... A.I., Influence of value added tax and excises of the oil and gas sector of the northern region of Russia on the formation of budget revenues, Vestn. Tyumen. Univ. Sots.-Ekon. Prav. Issled., 2020 ...

  30. The Hidden Face of War. NATO Sponsored War ...

    The Forward Observations Group, a private military company based in the United States, published a photo of its war professionals in the Russian region of Kursk, a presence confirmed by a video showing the destruction by the Russian armed forces of Forward Observations Group armoured vehicles and commandos in Kursk. This US military company, whose […]