Efficiency Evaluation of Electric Power Industry Based on DEA Model

2019 ◽  
Author(s):  
Delv Zhu ◽  
Jing Shi ◽  
Jiaqi Xu ◽  
Kaihui Nan ◽  
Wang Zhang ◽  
...  
Keyword(s):  
Electric Power ◽  
Electric Power Industry ◽  
Power Industry ◽  
Efficiency Evaluation ◽  
Dea Model

scholarly journals DEA Model Construction and Investment Efficiency Analysis of Overseas Electric Power Market in Clean Energy

2021 ◽  
Vol 267 ◽  
pp. 01008
Author(s):  
Chao Ma
Keyword(s):  
Electric Power ◽  
Electric Power Industry ◽  
Clean Energy ◽  
Power Industry ◽  
Investment Efficiency ◽  
Data Envelopment ◽  
Dea Model ◽  
Chinese Investment ◽  
Overseas Investment ◽  
Potential Risks

The paper aims to further explore the current situation of Chinese investment in overseas clean energy and analyze the development of the power industry in the field of clean energy. The paper elaborates the present development status of clean energy based on the Data Envelopment Analysis (DEA) model and investment efficiency theories, analyzing the potential risks taken by China’s electric power industry from the investment in overseas clean energy and calculating the power enterprises’ investment efficiency. The results reveal that China’s overseas investment in clean energy has developed rapidly. However, from 2016 to 2017, due to the accelerated investment in clean energy, the comprehensive investment efficiency of clean energy has dropped significantly, to 79.1% and 78.7%, respectively. Subsequently, the comprehensive investment efficiency increased significantly, reaching 80.4% in 2019. Between 2015 and 2019, effective investment in clean energy has reached the highest, 32% in 2015, while there are more ineffective investments in 2016. After 2017, the proportion of power enterprises’ investment in clean energy has increased significantly, accounting for 32% in 2019. In future development, the proportion of investment in this field will continue to rise. Hence, clean energy boasts good development prospects.

Technical Efficiency Evaluation of Grid Corporations Based on the DEA Model

2011 ◽  
Vol 467-469 ◽  
pp. 453-456
Author(s):  
Feng Kong ◽  
Wei Wang
Keyword(s):  
Electric Power ◽  
Technical Efficiency ◽  
Empirical Analysis ◽  
North China ◽  
Electric Power Industry ◽  
Efficiency Evaluation ◽  
Dea Model ◽  
Management Indicators ◽  
Efficiency Factors ◽  
First Time

This paper describes the main contents of the evaluation of technical efficiency of electric power industry at home and abroad, the evaluation methods, and the development of it, and conducts an empirical analysis of the technical efficiency of the Grid in North China for the first time. This paper introduces the DEA to evaluate the technical efficiency of the Grid Corporations, and application of PSO to optimize on the DEA model. From the results of the evaluation of the technical efficiency of Sample Grid Corporation of China, We can conclude that you can better evaluate the technical efficiency of power companies by the combination of two ways, and can make clearer on their own to improve non-efficiency factors, thus conduct a comprehensive monitoring in the technical indicators and management indicators

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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