What drives the GHG emission changes of the electric power industry in China? An empirical analysis using the Logarithmic Mean Divisia Index method

2017 ◽  
Vol 8 (5-6) ◽  
pp. 363-377 ◽  
Author(s):  
Shuang Zhang ◽  
Tao Zhao ◽  
Bai-Chen Xie ◽  
Jie Gao
Keyword(s):  
Electric Power ◽  
Empirical Analysis ◽  
Electric Power Industry ◽  
Power Industry ◽  
Ghg Emission ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index ◽  
Emission Changes

scholarly journals Qualimetric approach to solving the problems of innovative development of Russian power industry

2019 ◽  
Vol 124 ◽  
pp. 04012
Author(s):  
J. V. Torkunova ◽  
M. N. Habrieva ◽  
A. R. Birialtceva ◽  
B. K. Shapkenov
Keyword(s):  
Electric Power ◽  
Russian Federation ◽  
Electric Power Industry ◽  
Power Industry ◽  
Innovative Development ◽  
Federal Law ◽  
Electricity Prices ◽  
Index Method ◽  
Production And Consumption ◽  
The Russian Federation

The article discusses selected issues of the development of the power industry in Russia. The relevance of the development is related to the development of the electric power industry, meets the Federal Law of the Russian Federation No. 399 “On Amendments to the Federal Law “On Energy Saving and Improving Energy Efficiency...” dated 12/28/2013. The article used statistical methods, the method of averages, the index method ; analyzed trends in the production and consumption of electricity in the Russian Federation; Cause-and-effect relationships between production, consumption, and rising electricity prices have been identified; developed criteria for evaluating the effectiveness of measures to implement the program for the development of the power industry proposed the author’s approach to calculating the degree of effectiveness of the measures taken to ensure the implementation of the program; justified the conclusion about the need to create an institutional system as a mechanism for the innovative development of the electric power industry.

Factor decomposition of Chinese GHG emission intensity based on the Logarithmic Mean Divisia Index method

2014 ◽  
Vol 5 (5-6) ◽  
pp. 579-586 ◽  
Author(s):  
Jianyi Lin ◽  
Yuan Liu ◽  
Yuanchao Hu ◽  
Shenghui Cui ◽  
Shengnan Zhao
Keyword(s):  
Emission Intensity ◽  
Ghg Emission ◽  
Logarithmic Mean ◽  
Index Method ◽  
Divisia Index ◽  
Factor Decomposition

68. Implementing Ergonomics Interventions for Physically Demanding Jobs in the Electric Power Industry

2002 ◽  
Author(s):  
P. Seeley ◽  
R. Marklin ◽  
J. Wilzbacher
Keyword(s):  
Electric Power ◽  
Electric Power Industry ◽  
Power Industry

Development of the Methods for Assessing the Risk of Damage to Health of the Employees of the Electric Power Industry

2019 ◽  
pp. 63-68
Author(s):  
O.E. Kondrateva ◽  
◽  
M.V. Kravchenko ◽  
O.A. Loktionov ◽  
◽  
...  
Keyword(s):  
Electric Power ◽  
Electric Power Industry ◽  
Power Industry

Improving the integrated reporting of electric-power industry companies

2020 ◽  
Vol 23 (8) ◽  
pp. 922-939
Author(s):  
N.V. Malinovskaya ◽  
M.D. Malinovskii
Keyword(s):  
Comparative Analysis ◽  
Electric Power ◽  
Electric Power Industry ◽  
Power Industry ◽  
Integrated Reporting ◽  
Strategic Objectives ◽  
Methods Of Analysis ◽  
Analysis And Synthesis ◽  
Guiding Principles

Subject. This article deals with the issues relating to improving integrated reporting in terms of dovetailing strategic objectives with capital changes. Objectives. The article aims to develop a system of indicators for disclosure of capital types in integrated reporting of electricity generating companies, as well as recommendations aimed at implementing the fundamental concepts and guiding principles of integrated reporting. Methods. For the study, we used the methods of analysis and synthesis, comparison, generalization, and abstraction. As a case study, we conduct a comparative analysis of the disclosure of six types of capital by the largest electricity generating companies, namely PAO Inter RAO, AO Rosenergoatom and PAO RusHydro. Results. The article formulates proposals for disclosure of capital information to address such a lack of accountability as a contradiction to the principle of coherence. It proposes a system of indicators (core and additional) for disclosure of six types of capital by electricity generating companies. Conclusions. A significant reporting problem is the lack of correlation between key strategic objectives and capital changes. The formulated recommendations for disclosure of capital information can help solve this problem, and increase the attractiveness of the integrated report for capital providers.

EVALUATION OF INDICATORS FOR DETERMINING THE EFFICIENCY AND THE DEGREE OF READY OF THE COUNTRIES TO THE DIGITAL TRANSITION IN ELECTRICITY

2020 ◽  
Vol 1 (11) ◽  
pp. 12-22
Author(s):  
E. V. KARANINA ◽  
◽  
M. A. BORTNIKOV ◽  
Keyword(s):  
Electric Power ◽  
Structural Transformation ◽  
Electric Power Industry ◽  
Energy Transition ◽  
Basic Research ◽  
Power Industry ◽  
Energy Development ◽  
Global Level ◽  
Digital Transition ◽  
State Programs

The digital economy implies a structural transformation in many industries, including the energy sector, without taking into account the state specifics of the industry, for which full-fledged digitalization can be harmful. The aim of the study is to develop a methodology and determine the readiness of countries for digitalization in the electric power industry, taking into account all the main industry groups of factors. The paper analyzes the concept of “energy transition” and defines the indices that are applied to assess this transition at the global level. A system of indices is proposed to determine the degree of readiness for a digital transition in the electric power industry as one of the components of the “energy transition” and the most possible scenario for the transformation of this industry in Russia. The analysis of key areas of digital energy development is presented. The degree of readiness of the leading 100 countries in terms of GDP for digitalization in the electric power industry according to the proposed methodology has been calculated, and the further direction of basic research in this direction has been indicated. Conclusions have been drawn on the appropriateness of developing state programs and the main directions to which DM decision should be drawn with due desire to digitize the industry have been highlighted.

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