The Impact of Values, Gender and Education on Creative Behaviour in Different Domains in Russian Regions

2015 ◽  
Author(s):  
Nadezhda Lebedeva ◽  
Ekaterina A. Bushina
Keyword(s):  
Russian Regions ◽  
Gender And Education ◽  
Creative Behaviour ◽  
The Impact

Investment climate and government turnover in russian regions

2014 ◽  
pp. 88-117 ◽  
Author(s):  
G. Syunyaev ◽  
L. Polishchuk
Keyword(s):  
Economic Development ◽  
Theoretical Model ◽  
Private Sector ◽  
Authoritarian Regimes ◽  
Russian Regions ◽  
Investment Climate ◽  
Regional Data ◽  
Endogenous Property Rights ◽  
The Impact

We study the impact of Russian regional governors’ rotation and their affiliation with private sector firms for the quality of investment climate in Russian regions. A theoretical model presented in the paper predicts that these factors taken together improve “endogenous” property rights under authoritarian regimes. This conclusion is confirmed empirically by using Russian regional data for 2002—2010; early in that period gubernatorial elections had been canceled and replaced by federal government’s appointments. This is an indication that under certain conditions government rotation is beneficial for economic development even when democracy is suppressed.

Impact of regulatory framework rigidity on poverty in the regions of Russia

2020 ◽  
pp. 62-79
Author(s):  
P. N. Pavlov
Keyword(s):  
Economic Activity ◽  
Regional Level ◽  
Institutional Factors ◽  
Federal Regulations ◽  
Russian Regions ◽  
Poverty Dynamics ◽  
Regulatory Burden ◽  
Sectoral Structure ◽  
The Impact ◽  
Regions Of Russia

The paper analyzes the impact of the federal regulatory burden on poverty dynamics in Russia. The paper provides regional level indices of the federal regulatory burden on the economy in 2008—2018 which take into account sectoral structure of regions’ output and the level of regulatory rigidity of federal regulations governing certain types of economic activity. Estimates of empirical specifications of poverty theoretical model with the inclusion of macroeconomic and institutional factors shows that limiting the scope of the rulemaking activity of government bodies and weakening of new regulations rigidity contributes to a statistically significant reduction in the level of poverty in Russian regions. Cancellation of 10% of accumulated federal level requirements through the “regulatory guillotine” administrative reform may take out of poverty about 1.1—1.4 million people.

Retrospective analysis of the resilience of Russian regions as socio-economic systems

2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova
Keyword(s):  
Panel Data ◽  
Economic Systems ◽  
Financial Indicators ◽  
Russian Regions ◽  
Integral Index ◽  
Negative Effects ◽  
Economic Resilience ◽  
Correlation Dependence ◽  
The Impact ◽  
The Relationship

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.

scholarly journals Post-Industrial Tourism as a Driver of Sustainable Development

2021 ◽  
Vol 13 (15) ◽  
pp. 8145
Author(s):  
Aleksandra Kuzior ◽  
Oleksii Lyulyov ◽  
Tetyana Pimonenko ◽  
Aleksy Kwilinski ◽  
Dariusz Krawczyk
Keyword(s):  
Sustainable Development ◽  
Tourism Development ◽  
Tourism Industry ◽  
Digital Marketing ◽  
Gender And Education ◽  
Development Goals ◽  
The Difference ◽  
Post Industrial ◽  
The Impact ◽  
Industrial Tourism

The accepted Sustainable Development Goals aim at reorienting the tourism industry to sustainable tourism and enhancing post-industrial tourism. In this case, it is necessary to identify the statistically significant determinants which affect post-industrial tourism development. In this paper, we aim to analyse: (1) the impact of economic and environmental dimensions, and of digital marketing on supporting post-industrial tourism development and (2) the difference between attitude to post-industrial tourism on the gender, age, and education dimensions and digital channels on post-industrial tourism development. The data was collected from questioning 2334 respondents during April–November 2020. The study applied the following methods: frequencies, percentages, t-test, and one-way ANOVA and multiple regression analysis. The findings confirmed the statistically significant impact of the economic and environmental dimensions, as well as digital marketing on post-industrial tourism development. The results of the analysis justified that digital marketing was a catalysator of post-industrial tourism development. In addition, the findings confirmed that there is no difference in attitudes towards post-industrial tourism with respect to the dimensions of age, gender, and education.

scholarly journals Evaluation of the impact of human capital on innovation activity in Russian regions

2021 ◽  
Vol 8 (1) ◽  
pp. 109-126
Author(s):  
Valentina Teslenko ◽  
Roman Melnikov ◽  
Damien Bazin
Keyword(s):  
Human Capital ◽  
Innovation Activity ◽  
Russian Regions ◽  
The Impact

Revealing of the specificity of mortgage housing lending based on the results of clustering of regions

2021 ◽  
Vol 27 (12) ◽  
pp. 2679-2697
Author(s):  
Lyudmila E. ROMANOVA ◽  
Anna L. SABININA ◽  
Andrei I. CHUKANOV ◽  
Dar’ya M. KORSHUNOVA
Keyword(s):  
Systems Approach ◽  
Mortgage Lending ◽  
Effective Algorithm ◽  
Russian Regions ◽  
Local Conditions ◽  
Partitioning Around Medoids ◽  
Analysis And Synthesis ◽  
The Russian Federation ◽  
The Impact ◽  
Regions Of Russia

Subject. This article deals with the particularities of the development of housing mortgage lending in the regions of Russia. Objectives. The article aims to substantiate the need for clustering of territorial entities by level of development of mortgage housing lending in Russia and test the most effective algorithm for mortgage clustering of regions. Methods. For the study, we used a systems approach, including scientific abstraction, analysis and synthesis, and statistical methods of data analysis. The algorithm k-medoids – Partitioning Around Medoids (PAM) was also used. Results. Based on the results of the study of regional statistics of the Russian Federation, the article reveals a significant asymmetry in the values of key socioeconomic indices that determine the level and dynamics of housing mortgages in the regions. This necessitates the clustering of territorial entities according to the level of development of mortgage housing lending in the country. To take into account the impact of various local conditions in assessing the prospects for the development of regional housing mortgages, the article proposes an indicator, namely, the integral regional mortgage affordability index. On its basis, in accordance with the selected clustering procedure, the article identifies five mortgage clusters in Russia and identifies their representative regions. Conclusions. Based on the analysis of the specificity of the development of regional mortgages in the Tula Oblast, taking into account the implementation of the target State programme, the article concludes that it is necessary to improve the mechanisms for financing regional mortgage programmes and justifies the need to develop differentiated programmes for the development of housing mortgages in groups of Russian regions.

Exploring the Impact of Demographic Factors on E-Government Services Adoption

2018 ◽  
Vol 31 (3) ◽  
pp. 1-16 ◽  
Author(s):  
Isaac Kofi Mensah ◽  
Jianing Mi
Keyword(s):  
Demographic Factors ◽  
Data Capture ◽  
Demographic Factor ◽  
Government Services ◽  
Gender And Education ◽  
Adoption And Implementation ◽  
Willingness To Adopt ◽  
Willingness To Use ◽  
The Impact ◽  
Data Capture And Analysis

The purpose of this article is to investigate the impact of demographic factors on the adoption of e-government services. Specifically, this article sought to examine the extent to which demographic factors such as age, gender and education would influence the willingness to adopt and use e-government services. The data capture and analysis was done with SPSS. The results indicate that age as a demographic factor was significant in determining the willingness of citizens to use e-government services. The results, however, showed that gender and education as demographic factors were not positively significant in predicting the willingness to use e-government services. The implications of these findings on the adoption and implementation of e-government are further discussed.

scholarly journals Digital Intellectual Capital of Russian Companies and its Impact on Financial and Innovation Performance

2021 ◽  
Vol 93 ◽  
pp. 05008
Author(s):  
Ilia Chernenko ◽  
Natalya Kelchevskaya ◽  
Irina Pelymskaya
Keyword(s):  
Intellectual Capital ◽  
Return On Investment ◽  
Customer Value ◽  
Positive Impact ◽  
Business Community ◽  
Russian Regions ◽  
Manufacturing Companies ◽  
Capital Theory ◽  
Regional Product ◽  
The Impact

The paper aims to investigate the level of accumulated digital intellectual capital and investments in digital transformation in the Russian regions and study its impact on the gross regional product and companies’ revenue, as well as on the innovative activity of companies. The study relies on the multiple regression method to find significant relationships between digitalization and performance indicators in 85 Russian regions and cities of federal significance. The originality of the approach used in this study lies in the development of the digital capital theory: the authors assess the impact of accumulated digital intellectual capital and investment on the performance of manufacturing and service companies and show the difference in return on investment between sectors. The results of the study show that though Russian regions are at the initial stage of the digital economy development, digitalization has a significant positive impact on the financial and innovative performance. Manufacturing companies primarily use structural capital to create customer value. Service-oriented companies also receive a positive return on investment in human and relational capital. The results obtained can be applied in practice by the business community to support investment decisions and analyse the processes of creating digital intellectual capital in companies.

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