scholarly journals Analysis of the earnings management methods of China’s electric power companies based on modified Jones model

2021 ◽  
Vol 71 (5&6) ◽  
pp. 82
Author(s):  
Zhibin Liu ◽  
Nian Xie ◽  
Xiaoning Li
Keyword(s):  
Earnings Management ◽  
Electric Power ◽  
Stock Exchange ◽  
Electric Power Industry ◽  
Listed Companies ◽  
Significance Test ◽  
Power Industry ◽  
Fixed Assets ◽  
Jones Model ◽  
The Empirical Analysis

With the constant revision of accounting standards, the earnings management methods are constantly changed and innovated in order to achieve the purpose of beautifying the statements and manipulating profits. This paper took the electricity listed companies as the research object, selected the financial data of 52 listed companies in the Shanghai Stock Exchange and the Shenzhen Stock Exchange from 2014 to 2016 as the sample, and employed the SPSS statistics software to analyze the earnings management methods of the listed companies in the electric power industry and to draw the conclusions through empirical research. Based on the preliminary statistical analysis of the earnings management methods of listed companies in the electric power industry, this paper used the modified Jones model to verify the empirical analysis. The main conclusions of this paper are as follows: There is a positive linear relationship between fixed assets management, assets impairment management and discretional accruals of the listed companies in the electric power industry. The degree of its influence is more obvious and stable than that of other earnings management methods, and passed the significance test. The collinear diagnostics can also prove a more reasonable correlation among the variables, indicating that the results obtained from the modified Jones model is more significant.

scholarly journals Corporate Social Responsibility and Earnings Management of Listed Companies in Power Industry

2020 ◽  
Vol 8 (3) ◽  
pp. p76
Author(s):  
Li Leying ◽  
Xu Xinpeng
Keyword(s):  
Social Responsibility ◽  
Earnings Management ◽  
Electric Power Industry ◽  
Listed Companies ◽  
Power Industry ◽  
Government Employees ◽  
The Social ◽  
National Economic ◽  
The Government ◽  
Corporate Social

Due to the particularity of business operation of electric power industry enterprises, their social responsibility will have an important impact on national economic development and residents’ life. In this paper, 303 Listed Companies in the power industry from 2013 to 2018 are taken as samples to measure the degree of social responsibility of the power industry based on the contribution of the power industry enterprises to the government, employees, shareholders, creditors, suppliers and customers, and to test the correlation between the Listed Companies in the power industry and earnings management. The empirical results show that the more the power industry enterprises pay to the outside world, the lower the degree of earnings management, that is, the better the degree of social responsibility of listed companies in the power industry, the lower the degree of earnings management. Through the research results of this paper, we can think that the social responsibility behavior of power industry enterprises is “altruistic” rather than “egoistic”, which explains the importance of non-marketization of large state-owned power enterprises such as State Grid Corporation of China.

Public Policy and the Growth of the Power Industry

1947 ◽  
Vol 7 (S1) ◽  
pp. 47-55
Author(s):  
Ben W. Lewis
Keyword(s):  
Public Policy ◽  
Electric Power ◽  
Electric Power Industry ◽  
Power Industry ◽  
Investment Efficiency ◽  
Labor Efficiency ◽  
Fixed Assets ◽  
Great Progress ◽  
The Cost ◽  
Physical Output

Every significant index attests to the extraordinary growth of the electric-power industry throughout the first four and a half decades of the present century. Physical output multiplied forty times between 1900 and 1939, a record exceeded during this period only by the automobile and cigarette industries. Labor efficiency and efficiency in the use of fuel increased well above the average for industry generally, and yet employment rose ninefold. Fixed assets were approximately ten times greater at the end of the period than they were at the beginning. Electric rates—the cost of the product to the consumer—have declined throughout. Here is a record of very great progress, even for an industry that was in its infancy in 1900—increased investment, efficiency, employment, and output, and reduced prices. It raises some interesting questions for public policy, questions related both to the future of the electric-power industry and to possibilities in other fields where lessons drawn from this experience may be pertinent.

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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