scholarly journals Modelling the Heterogeneity of the Mutual Influence between Russian Regions in the Manufacturing Industry

2021 ◽  
Vol 17 (3) ◽  
pp. 944-955
Author(s):  
Mikhail B. Petrov ◽  
Leonid А. Serkov ◽  
Кonstantin B. Kozhov
Keyword(s):  
Manufacturing Industry ◽  
Mutual Influence ◽  
Methodological Approach ◽  
Ordinary Least Squares ◽  
Interaction Matrix ◽  
Sverdlovsk Oblast ◽  
Russian Regions ◽  
Factors Affecting ◽  
Interregional Interaction ◽  
The Impact

As factors affecting interregional interactions play an important role in regional economic development. Thus, developing a methodology for assessing these interactions is becoming urgent. The article proposes a methodological approach to analyse the factors influencing possible interactions between Sverdlovsk oblast and other constituent entities of the Russian Federation in the manufacturing industry. It is hypothesised that the elements of an interregional interaction matrix are proxy variables characterising the degree of this interaction. An economic analysis of relations and production chains between Sverdlovsk oblast and other constituent entitles confirmed this hypothesis. First, based on the spatial distribution of manufacturing output in the examined regions, values of an indicator showing the strength of their mutual influence were determined. Second, the impact of economic, infrastructural and institutional factors on the obtained indicator, characterising the inter action between Sverdlovsk oblast and other regions, was assessed using quantile regression. In this case, such a technique was chosen instead of the classical ordinary least squares (OLS) regression that incorrectly estimates the dependencies between the studied variables. This is expressed in the fact that the regression coefficients de pend on q-quantile of the dependent variable. We have revealed that price levels of the examined regions do not affect their possible interactions with Sverdlovsk oblast. Simultaneously, the dissemination of knowledge acts a driver of interaction between the considered regional manufacturing industries. The research findings can be used to prepare strategies, programmes and schemes for the placement and development of industries, considering the potential of Sverdlovsk oblast and other Russian regions.

scholarly journals Geographical Factor in Regional Development

2020 ◽  
pp. 90-98
Author(s):  
Marina Moroshkina
Keyword(s):  
Regional Development ◽  
Geographical Location ◽  
Regional Differentiation ◽  
Russian Regions ◽  
Factors Affecting ◽  
Geographical Factor ◽  
Border Regions ◽  
Interregional Differentiation ◽  
High Level ◽  
The Impact

Regional development of Russian regions is characterized by a high level of heterogeneity. Researchers highlight a significant number of factors affecting the level of regional development. Geographical factor is recognized as one of the most important factors. The development of border regions is similar to that of Russian regions. The purpose of the research is to determine the differentiation of border regions and to study the dynamics of its change. The object of the research is border regions united in the system. The process of unification of regions is based on geographical location. The subject of the study is the process of regional differentiation. Methods of assessing the convergence of economic entities are the instrument of researching regional differentiation of border regions. The convergence theorem analyzes the interregional differentiation of border regions and considers the possibility of their convergence. As a result of using convergence approaches based on the definition of convergent processes, the coefficient of variation is calculated. On the basis of the calculated values of the coefficient and its change, the possibility of convergence of border regions is assessed and the process of change of interregional differentiation is analyzed. Another direction, on the basis of which the analysis of regional heterogeneity of border regions is based, is the determination of the differentiation coefficient, which allows to determine the level of the gap between polar groups of regions. The goal set in the study will allow assessing the impact of geographical location on economic development and formulating directions of economic policy. Spatial heterogeneity of border regions defined by means of mathematical tools can be used when writing the Program and the Strategy for Regional Development, within which one of the competitive advantages will be the location of the territory.

scholarly journals A scenario-based model of the reproduction of institutional sectors’ investment potential in Sverdlovsk oblast

Upravlenets ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 17-28
Author(s):  
Ilya Naumov
Keyword(s):  
Methodological Approach ◽  
Scenario Planning ◽  
Sverdlovsk Oblast ◽  
National Accounts ◽  
Cross Sectional ◽  
Public Authorities ◽  
Financial Flows ◽  
Factors Affecting ◽  
System Of National Accounts ◽  
Internal And External Factors

The article aims to resolve the methodological problems in the sphere of scenario planning of the reproduction of institutional sectors’ investment potential in regions. These problems are due to the complexity of accounting for multilateral financial relationships between sectors in the processes of the reproduction of their investment potential and the labour intensive assessment of the factors affecting their investment activities. Methodologically the study relies on the theoretical provisions of the scenario approach and the formation of balance models using the System of National Accounts. At the first stage, the presented methodological approach to scenario planning of the reproduction of institutional sectors’ investment potential suggests creating a matrix of financial flows moving between the sectors and examining the regularities of their investment potential reproduction. At the next stage, the approach offers a regression model of the cross-sectional relationships emerging in the course of the reproduction of the institutional sectors’ investment potential by various financial instruments taking into account the influence of internal and external factors. At the last stage, the approach develops a system of the most probable scenarios for the transformation of the reproduction processes of institutional sectors’ investment potential. It also entails a search for the most favourable scenario that increases the financial sustainability of the sectors and provides the regions with resources necessary for the implementation of the crucial infrastructure projects and strategic programs of the socio-economic development. The methodological tools and scenarios for the reproduction of institutional sectors’ investment potential in Sverdlovsk oblast developed in the study can be of interest to public authorities when framing the concept of the regional investment policy.

scholarly journals MEDICAL-GEOGRAPHIC FACTORS OF POPULATION HEALTH IN THE NORTH OSSETIA

2021 ◽  
Vol 13 (1) ◽  
pp. 35-43
Author(s):  
Alexander BADOV ◽  
◽  
Oleg BADOV ◽  
Juliet BYAZROVA ◽  
Larisa DZAKHOVA ◽  
...  
Keyword(s):  
Mutual Influence ◽  
Practical Importance ◽  
Steppe Zone ◽  
Congenital Dislocation ◽  
Forest Zone ◽  
Factors Affecting ◽  
Geographic Factors ◽  
The North ◽  
The Republic ◽  
The Impact

Introduction. Medico-geographical researches are now becoming particularly relevant, since geographic methods with their inherent complexity, diversity, vision of the territory, the identification of medical geographic factors and the application of cartographic methods can explain the basis of those processes and phenomena that occur on the territory of our country and its regions in terms of the morbidity of the population and find ways to optimize the health system. Methods. Medical geography studies the impact of natural, socio-economic and environmental factors on the health of the population, examines the geography of the spread of diseases and identifies the territorial organization of health. Particular attention is paid to the complexity of research; The identification of interaction, mutual development and mutual influence of geographic factors affecting the health of the population in a particular region, as well as the application of GIS technologies and cartographic methods. Results (discussion). The natural conditions of North Os-setia (excluding the highlands) are generally favorable for the population living. Their diversity (despite the limited territory) leads to significant differences in the level and structure of the population morbidity. Within the republic there are five medical-geographical zones, each of which has its own natural-focal diseases. So, for example, rabies, echinococcosis, trichinosis, intestinal infection, leptospirosis, tularemia are characteristic for the steppe zone (the north of the republic); For the forest zone – ascaridosis, endemic goiter, dental caries, echinococcosis, rabies, trichinosis, leptospirosis. Congenital dislocation of the hip is common in the mountainous zone. And girls get this disease five times more often than boys. In addition, almost all of the republic is characterized by a shortage of fluoride, iodine and some other elements. Conclusions. The study of the geographical factors of the morbidity of the population is of great practical importance since it allows developing measures aimed at preventing many diseases.

scholarly journals The Impact of CRM on Innovation Capabilities: A Study on Industries of Pakistan

2019 ◽  
Vol 6 (2) ◽  
pp. 71-78
Author(s):  
Farhan Ahmed ◽  
Danish Ahmed Siddiqui
Keyword(s):  
Problem Solving ◽  
Manufacturing Industry ◽  
Innovation Process ◽  
Factors Affecting ◽  
Customer Involvement ◽  
Supplier Integration ◽  
Joint Problem ◽  
Innovative Capabilities ◽  
The Impact ◽  
Joint Problem Solving

The purpose of this research is to determine the impact of CRM on innovative capabilities where the comparative study has been conducted between the services and manufacturing industries in Pakistan. For this purpose, the factors affecting CRM include information sharing, customer involvement, long-term partnership, joint problem solving, and technology based CRM while for measuring the innovative capabilities, product innovation, process innovation, and service innovation has been used. The data collected from 60 employees working in different service and manufacturing firms in Karachi. The results show that there is a significant impact on customer involvement, joint problem solving and technology based CRM on innovation capabilities of firms. It is suggested to refrain from customer involvement because it is observed that involving the customers negatively influences the innovation capabilities of manufacturing industry and thus, it has been recommended for companies to abstain from drawing in customers. The research also suggests adding supplier integration to form more effective innovations programs.  

scholarly journals The impact of credit risk and macroeconomic factors on profitability: the case of the ASEAN banks

2020 ◽  
Vol 15 (1) ◽  
pp. 21-29
Author(s):  
Myra V. De Leon
Keyword(s):  
Credit Risk ◽  
Fixed Effects ◽  
Inflation Rate ◽  
Ordinary Least Squares ◽  
Gdp Growth ◽  
Fixed Effects Model ◽  
Macroeconomic Factors ◽  
Factors Affecting ◽  
Level Of Significance ◽  
The Impact

This study investigates the effect of credit risk and macroeconomic factors on profitability of 20 ASEAN banks, particularly from Indonesia, Malaysia, Thailand and Philippines, covering the period of 2012 to 2017. The unbalanced panel data were tested for heteroscedasticity and normality. A fixed effects model and a random effects model were utilized followed by simple ordinary least squares (OLS) regression. The obtained results show that credit risk and GDP growth negatively affect Return on Equity (ROE) at 5% level of significance. The inflation rate increases ROE by 0.323%. In terms of influence, inflation has the highest impact on ROE followed by GDP growth and credit risk. Credit risk and GDP growth negatively affect Return on Assets (ROA) at 5% level of significance. ROA was also influenced by an increase in inflation rate. Therefore, this study will help banks and bank managers, depositors, investors, policy makers and governments to identify factors affecting bank profitability.

scholarly journals Interregional Distribution of Energy Potential Based on Spatial Autoregression

2020 ◽  
Vol 17 (4) ◽  
pp. 799-810
Author(s):  
L. A. Serkov ◽  
◽  
K. B. Kozhov ◽  
Keyword(s):  
Development Strategy ◽  
Methodological Approach ◽  
Principal Component ◽  
Federal District ◽  
Spatial Development ◽  
Energy Conditions ◽  
Russian Regions ◽  
Spatial Autoregression ◽  
Energy Potential ◽  
Interregional Interaction

The article proposes a methodological approach for assessing the conditions of interregional interaction of Russian regions in terms of energy conditions. To this end, we substantiate and analyze the spatial distribution of Russian regions’ energy potential. An integral index of energy potential is constructed, which characterizes the main energy and economic factors of regional development in Russia. To calculate the index, we used the statistical data from the Russian Federal Statistics Service (Rosstat) and departmental organizations for 84 regions. The energy potential is calculated by using the principal component method. Interregional relationships based on this index are investigated with the help of the spatial autocorrelation method (Moran method). We focus on the relationships between the regions of the Ural Federal District and identify priority areas of energy and economic development of these territories. In particular, we analyze the spatial development of energy and economy and identify the centers where energy resources are concentrated and their spheres. Our findings can be used by state authorities and energy companies to design plans for the development of energy systems and regional economies within the framework of the Spatial Development Strategy of the Russian Federation for the Period until 2025.

scholarly journals Impact of overall equipment effectiveness on return on investment in the Nigerian cement manufacturing industry

2021 ◽  
Vol 2 (1) ◽  
pp. 87-94
Author(s):  
Ugbomhe O. Ugbomhe ◽  
◽  
Ebomah Ernest Monday ◽  
Keyword(s):  
Return On Investment ◽  
Manufacturing Industry ◽  
Empirical Test ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
Ex Post ◽  
Formidable Challenge ◽  
Cement Manufacturing ◽  
Key Indicators ◽  
The Impact

The formidable challenge of maintenance of heavy duty equipment for the day-to-day manufacturing activities informed this research investigation. The study examined the impact of overall equipment effectiveness on return on investment in the Nigerian cement manufacturing industry. It focused on the key indicators of overall equipment effectiveness and their impact on return on investment. Ex-post facto research design was adopted in conducting the empirical investigation. The firms in the industry quoted in the Nigeria Stock Exchange (NSE) were studied. Longitudinal data of 15 years observation (2005-2019) were obtained and analyzed with ordinary least squares regression (system-OLS). The key indicators of overall equipment effectiveness subjected to empirical test proved positively significant to return on investment at the Coefficient values a1, a2 & a3 > 0; Prob.-values a1, a2, & a3 < 0.05 and t-Statistic values a1, a2, & a3 absolutely ≥ 2. These analysis results suggested that machine availability rate (MAR), machine production rate (MPR), product quality rate (PQR) variables of overall equipment effectiveness have significant linear effect on ROI. Based on these results, the study therefore recommends among others for top management’s support and commitment to proactive and continuous improvement production facilities maintenance for improved overall equipment effectiveness and sustainable corporate performance of firms in the industry.

scholarly journals Methodology for Identifying the Boundaries of Agglomerations based on Statistical Data

2021 ◽  
Vol 17 (1) ◽  
pp. 44-58
Author(s):  
D.E. Tolmachev Tolmachev ◽  
Pavel D. Kuznetsov ◽  
Sergey V. Ermak
Keyword(s):  
Statistical Data ◽  
Population Distribution ◽  
Mutual Influence ◽  
Sverdlovsk Oblast ◽  
Russian Regions ◽  
Circular Migration ◽  
Settlement System ◽  
Data Set ◽  
Significant Difference ◽  
The Difference

Significant difference in development between the municipalities is an obstacle for achieving economic sustainability in many Russian regions. Regional development strategies and plans of various municipalities often cannot be synchronised because of their incompatibility. Moreover, municipalities usually lack necessary resources to implement their strategies. To solve these problems, we identified groups of municipalities (key units of the settlement system (KUSS)) based on the existing socio-eco- nomic relations, common challenges and development potential. We propose a methodology for identifying KUSS and describe its application. This methodology relies on statistical data available at the municipal level. To assess the interconnection of municipalities, we used 6 statistical socio-economic indicators and 1 integrated index of Gross Municipal Product (GMP). The difference in the first 6 indicators of the development of municipalities demonstrated, that less developed municipalities tend to more developed ones. We used the values of gross municipal product to define high mutual attraction of large municipalities (similar to the gravity model). The distance between municipalities reduced their mutual influence. Due to the limited data set, it was necessary to consider the reliability of the identified inter-municipal relations. Thus, we compared the obtained results with empirical data on population distribution and circular migration between municipalities in the region. The comparison of our calculations and actual data showed high precision of the presented methodology. The resulting grouping of municipalities allowed identifying 21 key units of the settlement system in Sverdlovsk oblast. The proposed methodology can be used for deter- mining large groups of municipalities in Sverdlovsk oblast, as well as in other Russian regions.

scholarly journals Convergence of Russian Regions: Different Patterns for Poor, Middle and Rich

2021 ◽  
Vol 17 (4) ◽  
pp. 1151-1165
Author(s):  
O.A. Demidova ◽  
Keyword(s):  
Economic Growth ◽  
Mutual Influence ◽  
Spillover Effects ◽  
Spatial Development ◽  
Investment Risk ◽  
Equilibrium Path ◽  
Russian Regions ◽  
Factors Affecting ◽  
The Poor ◽  
The Rich

The Strategy of Spatial Development of the Russian Federation until 2025 aims at the economic growth acceleration and reduction of the intra-regional socio-economic differences. Therefore, the factors affecting the economic growth of regions, convergence of regions, spillover effects from the neighbouring regions are of importance. Russian regions are very different and do not converge to a unique equilibrium path. 80 Russian regions were divided into the groups of poor, middle and rich regions. Three main hypotheses were considered, based on the differences in the 1) convergence speed, 2) influence of the same factors, 3) different mutual influence of regions. They were tested using a modified spatially autoregressive model for the three groups using the Russian regional data for 2000–2017. Beta-convergence was found only for the middle and rich regions, the rate of convergence was higher in the rich regions. The poor regions did not grow faster than the other regions, confirming the relevance of the Strategy of Spatial Development. The similarities and differences were identified in the factors ensuring the economic growth of regions belonging to the three groups. The growth in all regions is stimulated by the regional economy openness. The growth of rich regions can be achieved by increasing the investment and reducing the investment risk. However, the investments in the poor and middle regions are not effective. The poor and middle regions receive positive spillovers from the growth of the neighbouring regions. It is possible to expect reduced differences in the living standards between the poor and rich regions.

scholarly journals Prospects for the Development of the Russian Payment Infrastructure in the Сontext of the Transformation of the Global Financial System

2018 ◽  
Vol 12 (2) ◽  
pp. 48-57
Author(s):  
P. A. Tamarov
Keyword(s):  
Mutual Influence ◽  
Financial System ◽  
International Standards ◽  
Impact Factors ◽  
Payment Systems ◽  
Factors Affecting ◽  
World Economic ◽  
Quantitative Indicators ◽  
The Impact ◽  
Global Financial System

In the article, the author analyzes the impact of factors affecting the global financial system in the payment sphere. The analysis is based on a comparison of the set of impact factors, as noted in the materials of the World Economic Forum, with trends in the development of payment infrastructure. We show the manifestation of this influence in various aspects and properties, both for separate payment systems, and the payment sphere as a whole.The author notes that not only regulation based on international standards, but also changes in market conditions and technological innovations have a significant impact on the development of payment systems of central banks. The impact of factors in the Russian national payment system (NPS) and the role of the Bank of Russia are revealed.The author concludes that the degree of influence of the factors manifested in the implementation of planned and possible measures for the development of the NPS can be estimated by the dynamics of growth (deviation) of the share of payment traffic carried out in significant payment infrastructures. Quantitative indicators of the NPS development, presented in terms of factors and related activities affecting the global financial system, make it possible to assess the degree of mutual influence. 

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