Evaluation of Sustainable Development Indicators for Regions of Russia

Tretyakova, E. A.; Osipova, Marina

doi:10.1134/s1075700718020144

Cited by 10 publications

(4 citation statements)

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“…A system for assessing the sustainability of the region is built on the factors of the economic, social and ecological situation in the regions. Most researchers distinguish three groups of indicators (economic, social and environmental), which are then used to calculate the integral indices [7][8]. At the same time, the significant role of industrial parks in regional development predetermines the need to include indicators of IP activity in the methodology for assessing the sustainable development of a region.…”

Section: Methodsmentioning

confidence: 99%

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The role of industrial parks in ensuring sustainable development of the region

Borodavkina

Mukovnina

2021

E3S Web Conf.

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Sustainable development of regions is a priority direction of state policy. The creation and development of industrial infrastructure within the region becomes one of the recent trends aimed at obtaining the highest results in indicators of sustainable development. The formation of industrial parks as drivers of economic growth contributes to the formation of an integral production system within the region aimed both at ensuring the economic security of the region and at accelerating its development. In order to assess the role of industrial parks in achieving sustainable development goals (SDG) at the regional level, the authors correlated the SDG and the contribution of industrial parks to their achievement. The authors proposed indicators of the impact of industrial parks on the sustainable development of the region based on a theory review of regional sustainable development and indicators of its assessment. Evaluation of development indicators of industrial parks in the Russian Federation made it possible to determine the trends of economic growth in the region with an increase in investment in industrial parks.

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Section: Methodsmentioning

confidence: 99%

“…Table 1. Indicators of the impact of industrial parks on the sustainable development of the region (compiled by the authors using [8]).…”

Section: Methodsmentioning

confidence: 99%

The role of industrial parks in ensuring sustainable development of the region

Borodavkina

Mukovnina

2021

E3S Web Conf.

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“…There have been many attempts to develop such aggregated measures (Zeijl-Rozema, 2011). Most of these methodologies provide for the selection of indicators, their normalisation, calculation of group and integral indices (Uskova, 2009;Tret'yakova & Osipova, 2018) or creation of ratings (Zarghami & Fatourehchi, 2020). Based on existing achievements in this field, we propose to expand the analytical capabilities.…”

Section: The Indicator Frameworkmentioning

confidence: 99%

Stakeholder Approach to the Regional Sustainable Development: Empirical Study

Tretiakova,

Kurganov

2023

EoR

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Introduction of the concept of sustainable development (SD) led to the transformation of values and interests of key stakeholders: the government, population and business. Since consideration of regional stakeholder interests is crucial for ensuring SD of large countries like Russia, a methodology is needed to assess their fulfilment, balance and consistency. However, previous studies of regional sustainable development have not yet proposed such a methodology. The present paper examined and classified regional stakeholder interests and developed an indicator framework to evaluate their fulfilment. We proposed an algorithm for calculating 9 group and 7 integral indices which were subsequently used to measure the socio-economic-environmental balance and inter-stakeholder consistency of interests. The methodology was applied to 17 regions of the Volga and Ural Federal Districts of Russia. The research discovered that sustainable development in most regions was at a medium level. There was no significant difference in the fulfilment of interests among the different stakeholders, which can be interpreted as a factor strengthening social cohesion. Additionally, a socio-economic-environmental imbalance was revealed: the fulfilment of social interests was the highest and that of environmental interests was the lowest. Regression modelling has shown that the presence of this imbalance has a negative impact on SD of Russian regions. The proposed methodology may contribute to broaden the scope of analytical research in the field of sustainable development.

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“…hen assessing the results of the functioning of regional socio-economic systems (RSES), both private and integral indicators are used, the latter of which are reduced to aggregating the effective features of SES elements, including in the tasks of identifying significant factors, modeling and forecasting socio-economic processes [1,2] in the context of sustainable, balanced development [3]. In most cases, aggregation is carried out in the form of averages and weighted averages of various types [4][5][6][7], or using generally recognized analysis of the functioning environment [8,9], component analysis [10,11]) and special algorithms for constructing integral indicators [12,13] with an analysis of the correctness of their construction [14].…”

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confidence: 99%

Construction of an aggregated production function with implementation based on the example of the regions of the Central Federal District of the Russian Federation

Жуков¹,

Kozlova²,

Manokhin³

et al. 2022

Bus. Inform.

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A three-dimensional case is considered on the basis of a method developed for estimating the parameters of the aggregated production function used to calculate dynamic standards and build integral indicators of the performances of the functioning of socio-economic systems. The aggregated production function is determined by the quadratic convolution of the production functions of the results of the functioning of the elements of the subsystem and their correlation matrix. The parameters of the aggregated production function are determined from solving the problem of maximizing the likelihood function of a random variable – the residuals of production functions aggregated according to a similar rule. On the example of a project subsystem within the framework of the Kleiner’s spatial-temporal classification of socio-economic systems we obtained adjusted values of the parameters of a function that includes power-law multiplicative models of the relationship between the volume of gross domestic product by region for sections F (construction), G (wholesale and retail trade), K (financial activity) according to NACE 2 and the cost of fixed assets (total for section K, for sections F and G), the average annual number of employees (for sections F and G) and the average annual population (for section K), based on data for 2015–2020 (sections G, K) and 2018–2020 (section F) for the regions of the Central Federal District. The EFRA software package and Python’s project were used as tools. The results obtained can be used by regional authorities in assessing the functioning of the regions and the formation of appropriate standards in the short term.

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Evaluation of Sustainable Development Indicators for Regions of Russia

Cited by 10 publications

References 1 publication

The role of industrial parks in ensuring sustainable development of the region

The role of industrial parks in ensuring sustainable development of the region

Stakeholder Approach to the Regional Sustainable Development: Empirical Study

Construction of an aggregated production function with implementation based on the example of the regions of the Central Federal District of the Russian Federation

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