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An analysis of integrated environmental and economic efficiency of the Southern Federal District regions

Sal'nikova A.A. Kuban State University, Krasnodar, Russian Federation ( salnikova.anastasia89@gmail.com )

Journal: Regional Economics: Theory and Practice, #5, 2017

Importance The article deals with the issues of rational planning and simulation of negative environmental effects. The economic and ecological systems of regions of the Southern Federal District and region-specific environmental effects are the subject of the research.
Objectives The article aims to perform a qualitative analysis of the calculated coefficients of effectiveness of regional economic systems of the Southern Federal District subjects.
Methods For the study, I used the methods of data envelopment analysis, statistical analysis, and the qualitative analysis.
Results The article presents the results obtained concerning the performance of various regions of the Southern Federal District by economy’s development, measures to maintain a satisfactory level of regional ecology, and human impact on the ecosystem. No region of the considered ones shows a good case of eco-efficient economy.
Conclusions Most of the Southern Federal District regions have an average efficiency of economy. Some of them are ineffective. The District regions show a growth of unwanted parameter values such as the amount of waste if recycling is not effective.


Optimizing regional ecological-and-economic planning using a data envelopment analysis

Sal'nikova A.A. Kuban State University, Krasnodar, Russian Federation ( salnikova.anastasia89@gmail.com )

Journal: Regional Economics: Theory and Practice, #10, 2017

Importance The article deals with the issues of assessment of the performance of socio-economic systems, considering them both by economic and environmental parameters.
Objectives The article aims to analyze the environmental and economic parameters of the regions of the Russian Federation most contributing to eco-economic efficiency, identify the most and least effective regions, and correlate the results obtained with the priorities of the local environmental and industrial strategies of the regions.
Methods For the study, I used a data envelopment analysis.
Results The article identifies that modelling using the data envelopment analysis will enable the regions to harmonize the indicators and benchmarks of strategic objectives and identify the negative environmental effects, mitigating which the entity can be as effective as possible with no negative dynamics imparted to favorable economic effects. The article presents certain recommendations to further improve the method used to address environmental and economic concerns.
Conclusions Modelling using the data envelopment analysis can be a tool for measuring sustainable development within the region's economy, as well as a way to address the current problem of diluted strategic goal in environmental management.


Optimizing regional ecological and economic planning using a data envelopment analysis

Sal'nikova A.A. Kuban State University, Krasnodar, Russian Federation ( salnikova.anastasia89@gmail.com )

Journal: Economic Analysis: Theory and Practice, #12, 2017

Importance The article deals with the issues of assessment of the performance of socio-economic systems, considering them both by economic and environmental parameters.
Objectives The article aims to analyze the environmental and economic parameters of the regions of the Russian Federation most contributing to eco-economic efficiency, identify the most and least effective regions, and correlate the results obtained with the priorities of the local environmental and industrial strategies of the regions.
Methods For the study, I used a data envelopment analysis.
Results The article identifies that modelling using the data envelopment analysis will enable the regions to harmonize the indicators and benchmarks of strategic objectives and identify the negative environmental effects, mitigating which the entity can be as effective as possible with no negative dynamics imparted to favorable economic effects. The article presents certain recommendations to further improve the method used to address environmental and economic concerns.
Conclusions Modelling using the data envelopment analysis can be a tool for measuring sustainable development within the region's economy, as well as a way to address the current problem of diluted strategic goal in environmental management.


Factors for initiating innovation projects on smart grid implementation: Best practices

Sal'nikova A.A. Kuban State University (KubSU), Krasnodar, Russian Federation ( salnikova.anastasia89@gmail.com )

Journal: Economic Analysis: Theory and Practice, #4, 2019

Subject The article addresses the global experience in smart grid implementation and initiation of innovation projects in this sphere.
Objectives The aim is to examine the factors contributing to initiation and implementation (with State support) of innovation projects in the field of smart grids.
Methods The study employs multiple case studies, comparative and factor analysis.
Results In addition to the need to integrate into the common network of renewable energy sources, the important factors of decision-making on initiating and implementing innovative projects include the improvement of efficiency and quality of energy supply, development of electric transport, desire to expand the market of innovative goods and services in the field of smart technologies.
Conclusions Intelligent networks (or smart grids) are important and necessary for deployment of clean energy technologies. The functionalities of intelligent networks open the door to large-scale integration of renewable energy sources, active participation of users in energy management, energy efficiency, and environmental impact reduction. The world experience of pilot projects proved that in future it is possible to increase the share of renewable energy almost to 100%, if we move to a new and more effective approach to energy management based on the use of smart grids and respective technologies.


Aspects of multiplying the positive effects of innovative projects for the intellectualization of power distribution networks

Ratner S.V. V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russian Federation ( lanarat@mail.ru )

Sal'nikova A.A. Kuban State University, Krasnodar, Krasnodar Krai, Russian Federation ( nansy2004@list.ru )

Journal: National Interests: Priorities and Security, #3, 2019

Subject As new bills on the intellectualization of power distribution networks are approved, specialists of the RF Ministry of Energy expect the digitization of power engineering and boom of smart grid technology. However, seeing how intellectual power grid technology is implemented worldwide as part of innovative projects of power distribution companies, we note that such projects are not always successfully performed.
Objectives The research investigates international practices of involving consumers from housing, business and industrial sectors to take part in intellectual power grid projects.
Methods The research represents the Multivocal Literature Review (MLR), which is especially efficient in rapidly growing areas of expertise.
Results We identified general principles for dealing with consumers from residential and business sectors as part of innovative smart grid projects, determine how power consumption patters change. The article highlights directions for adapting the foreign expertise to the Russian socio-economic and institutional conditions.
Conclusions and Relevance It is very important for pilot projects to select, train and prepare consumers. The negative impression of the first consumers and easily spreading notoriety can seriously hamper the dissemination of smart grid innovation. Hence, adapting the results of some foreign smart grid projects to the Russian socio-economic and institutional conditions, we suggest involving employees and students of higher schools to participate in smart grid projects.


Quality management at the meso level (the Southern Federal District energy system case study)

Sal'nikova A.A. Kuban State University, Krasnodar, Russian Federation ( salnikova.anastasia89@gmail.com )

Journal: Regional Economics: Theory and Practice, #38, 2014

Importance Managing the electric-power industry's quality at the enterprise level does not allow full assessing the economic, organizational and technical aspects of the quality assurance for the entire process chain from power generation to power distribution. The quality management methods at the level of technological chain in the energy sector (electricity) are the subject of the research.
     Objectives The goal is to generalize the methodology of TQM (Total Quality Management) at a meso-economic level, i.e. the regional and sectoral ones.
     Methods My paper analyzes the research on emerging methods and technologies for assessing and monitoring the quality of power at various levels. I have considered the current indicators of the quality energy system of the Southern Federal District and proposed new ones. I have calculated quality indicators on the basis of the open statistical data of the generating, grid and distribution companies and compared them by the regions of the Southern Federal District.
     Results and Conclusions I have concluded that the current performance evaluation of the quality of regional energy systems and economies do not allow to make an assessment at the level of enterprises and production chains. I propose the idea of an integrated indicator (a system of quality indicators) and a simplified model of its calculation. The model takes into account the stages of production, transmission and distribution of electricity, as well as the heterogeneity of regions.
     Relevance The results of my study may be used to develop regional algorithms to achieve the objectives outlined in the "Energy Strategy of Russia until 2030"; to point out those areas where it is necessary to develop less energy-intensive energy schemes; to involve renewable energy sources in the energy balance, local fuels, secondary resources and to find out the regions where the development of distributed power generation and increased investment are most appropriate.


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