scholarly journals RESEARCH OF INTERREGIONAL INEQUALITY: ECOLOGICAL AND ECONOMIC ASPECT

2021 ◽  
Vol 1 (6) ◽  
pp. 220-224
Author(s):  
I.A. Zabelina ◽  
◽  
A.A. Faleychik ◽  
Keyword(s):  
Well Being ◽  
Multiplicative Model ◽  
Water Bodies ◽  
Russian Regions ◽  
Environmental Index ◽  
Environmental Indices ◽  
Interregional Inequality ◽  
Interregional Differentiation ◽  
Environmental Component ◽  
Regional Income Inequality

Using the most popular measures of inequality and recent statistical data, the authors estimate interregional inequalities in Russia. The specific aim of this study is to identify inequality in well-being indicators, which were calculated using a multiplicative model based on the A. Sen extended function. It includes GRP per capita, share of personal incomes in GRP, cost of living index in the region, intra-regional income inequality and the integrated environmental index (it is defined as the arithmetic mean of the environmental indices calculated on the basis of the indicators: share of the negative water, air and soil tests). Using a multiplicative model, we evaluate the following social welfare indicators for Russian regions: indicator S (without the environmental component E); indicator SE (the environmental component E is defined as average of specific indices that take into account the air and water bodies state); indicator SEs (the environmental component E is defined as average of specific indices that take into account the air, water bodies and soil state). Our calculations have revealed that there is a significant interregional differentiation in the social well-being level. The environmentally adjusted well-being exhibits higher levels of inequality than the indicator that does not take into account the environmental component. The paper shows that from 2008 to 2019 the gaps between Russian regions had in some cases increased.

scholarly journals Interregional inequality in environmental and economic development in the Russian Federation

2021 ◽  
Vol 258 ◽  
pp. 06013
Author(s):  
Irina Zabelina
Keyword(s):  
Statistical Data ◽  
Well Being ◽  
Russian Regions ◽  
Interregional Inequality ◽  
The Social ◽  
Interregional Differentiation ◽  
Environmental Component ◽  
The Russian Federation ◽  
Measures Of Inequality ◽  
Extended Function

Using the most popular measures of inequality and recent statistical data, the authors estimate interregional inequalities in Russia. The specific aim of this study is to identify inequality in well-being indicators, which were calculated using a multiplicative model based on the A. Sen extended function. Our calculations have revealed that there is a significant interregional differentiation in the social well-being level. The environmentally adjusted well-being exhibits higher levels of inequality than the indicator that does not take into account the environmental component. The paper shows that from 2008 to 2018 the gaps between Russian regions had in some cases increased.

scholarly journals THE USING OF GIS TOOLS IN THE STUDY SOCIO-ECOLOGICAL AND ECONOMIC WELL-BEING OF THE REGIONS OF SIBERIA AND THE FAR EAST

2020 ◽  
Vol 2 (5) ◽  
pp. 14-20
Author(s):  
I.A. Zabelina ◽  
Keyword(s):  
Far East ◽  
Well Being ◽  
Multiplicative Model ◽  
Environmental Index ◽  
Environmental Indices ◽  
The Far East ◽  
Gis Tools ◽  
Significant Difference ◽  
High Level ◽  
Economic Well Being

This paper presents the results of a comparative spatial analysis of socio-ecological and economic well-being for the Russian regions of the Far East and Siberia. We use a multiplicative model, based on the A. Sen extended function. It include GRP per capita, share of personal incomes in GRP, cost of living index in the region, intra-regional income inequality and the integrated environmental index (it is defined as the arithmetic mean of the environmental indices calculated on the basis of the indicators: share of the negative water, air and soil tests). Calculations revealed that a high level of social welfare obtained on the basis of the four-component multiplicative model (i.e. without taking into account the environmental factor) is observed in the Chukotka Autonomous Area, Magadan and Sakhalin Regions. The inclusion of the environmental component in the comprehensive assessment of the regional development had a significant impact on the level of social well-being. In most of analyzed regions, the ecologically adjusted characteristic was significantly lower than the indicator obtained on the basis of the four-component multiplicative model. The most significant difference is observed in the Primorye Territory (51 %), Jewish Autonomous Region and Omsk Region (25 %), which is significantly higher than the average level for the Russian Federation – 16 %. The analysis results can be used in the development of management decisions in environmental and economic interactions, as well as in the preparation of strategic planning documents

scholarly journals SOCIO-ECOLOGICAL AND ECONOMIC RESEARCHES IN THE REGIONS OF RUSSIA: EXPERIENCE IN THE DEVELOPMENT AND APPLICATION OF INFORMATION SYSTEMS

2020 ◽  
Vol 2 (5) ◽  
pp. 21-27
Author(s):  
I.A Zabelina ◽  
◽  
A.V Delyuga ◽  
Yu.V. Kolotovkina ◽  
◽  
...  
Keyword(s):  
Information Systems ◽  
Web Applications ◽  
Well Being ◽  
Russian Regions ◽  
Environmental Index ◽  
Environmental Programs ◽  
Model Based ◽  
Software Product ◽  
Automated Tools ◽  
Economic Well Being

The article presents an overview of automated tools developed at the Institute of Natural Resources, Ecology and Cryology SB RAS for performing socio-ecological and economic researches. One of the information systems is designed to calculate quantitative characteristics of socio-ecological and economic well-being for Russian regions using a multiplicative model based on the A. Sen extended welfare function. This model was supplemented with integrated environmental index, which is the arithmetic mean of normalized specific ecological indices. They are calculated based on the following indicators: the share of the negative tests of air, water and soil. The other software product evaluates the Russian regions development trends in the context of the “green” growth concept using the model based on the Victor’s colors of growth framework. Both information systems are implemented using PHP and MySQL tools in the form of web applications. To demonstrate the capabilities of the information systems, trends in socio-ecological and economic development of three model regions (Krasnodar, Krasnoyarsk and Trans-Baikal Territories) are estimated and presented. The automated tools presented in this work significantly simplify the process of searching and analyzing information, reduce the time spent on performing data processing, and reduce the risk of errors. The results obtained using the systems can be applied in the practice of public administration at the federal and regional levels in the development of economic and environmental programs for spatial development of Russian regions

scholarly journals Strategizing sustainable development: the case of the Ural industrial regions

2021 ◽  
Vol 250 ◽  
pp. 05004
Author(s):  
Irina Rakhmeeva ◽  
Ivan Antipin
Keyword(s):  
Sustainable Development ◽  
Regional Development ◽  
Development Strategy ◽  
Human Life ◽  
Well Being ◽  
Environmental Conservation ◽  
Green Economy ◽  
Russian Regions ◽  
Regional Development Strategy ◽  
Industrial Regions

The remit of the article is regional development strategizing. Regional development strategy as part of regional regulatory environment could ensure the task of sustainable development due to determining priorities for resource conservation, development of a “green” economy, and restoration of natural resources. This is especially important for the extractive economies of the Russian regions. On the contrary, the research revealed the preservation of extractive policies in most of the Ural regions. The manuscript contains the description of the ecological and economic position of the regions of the Ural macroregion, that have a high anthropogenic impact on the environment because of their nature of economy. We analysed the content of the development strategies of the regions of the Ural macroregion and the issues of sustainable development. The Chelyabinsk region and the Republic of Bashkortostan didn’t include sustainable development in the top priorities. It leads them to stick their place in the tail of the National Environmental Rating of Russian Regions. Orenburg region’s strategy conclude the most quality mechanisms for ensuring environmental safety in regional strategic documents. The author highlighted the comprehension of the deep interrelationships of ecological well-being with all spheres of human life in the development strategy of the Sverdlovsk region. The regional development strategy is an important mechanism for ensuring a balance between industrial growth and environmental conservation. Therefore, the authority of traditional industrial regions of the Urals should strengthen the component of sustainable development in their strategies.

scholarly journals Regional features of socio-economic conditions of childhood development

2020 ◽  
Vol 3 ◽  
pp. 7-20
Author(s):  
T. F. Krejdenko ◽  
А. V. Vysotskaya
Keyword(s):  
Russian Federation ◽  
Well Being ◽  
Childhood Development ◽  
Classification Method ◽  
Economic Conditions ◽  
Russian Regions ◽  
Regional Features ◽  
The Russian Federation

To identify regional features of socio-economic conditions of childhood development, the author's method of typologizing Russian regions by the level of well-being of childhood development conditions based on the multi-sign classification method was used. This method is used for comparing objects by a set of indicators. To conduct the analysis, we calculated the ranks of indicators for five groups of indicators (institutional, demographic, infrastructure, financial and economic, and security). The analysis of the obtained results allowed us to distinguish five author's types of regions of the Russian Federation (RF) by the level of favorability of childhood formation.

scholarly journals Evaluation of the intensity of environmental pressures from agriculture on groundwater in Slovenia

Dela ◽  
2019 ◽  
pp. 5-26
Author(s):  
Barbara Lampič ◽  
Andrejka Rutar
Keyword(s):  
Environmental Sustainability ◽  
Agricultural Land ◽  
Agricultural Practices ◽  
Water Bodies ◽  
Environmental Index ◽  
Environmental Pressures ◽  
Environmentally Sustainable ◽  
Sustainability Index ◽  
Different Types ◽  
Sustainable Agricultural Practices

Using a composite environmental index, we assessed how environmentally sustainable agriculture is by examining water bodies of groundwater (WBG) in Slovenia. Apart from studying identifiable differences among 21 WBG, we also analysed and detailed the pressures of agricultural activities including by different types of aquifer porosity. We found that the most heavily burdened WBG have an intergranular type of porosity. From the standpoint of environmental sustainability agriculture is ill-suited on all five of the alluvial plains with intergranular aquifers in Slovenia. The lowest index was calculated in the area of the WBG in the Drava basin (-0.54), followed by the Mura (-0.34) and Sava basin together with the Ljubljana Marshes (-0.24). In order to better illustrate responsiveness, through analysis of spatial patterns of ecologically cultivated areas, we evaluated the distribution of the most sustainable agricultural practices and found that organic farming is more prevalent on water bodies with predominantly karst type of porosity (17.1% of organically cultivated agricultural land) and it occurs least on alluvial plains with intergranular aquifers (barely 3.7% of organically cultivated agricultural land). Calculations of the sustainability index of agriculture at the level of WBG proved to be very suitable approach for determining environmental sustainability.

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.

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