Research on Financial Risk Management for Electric Power Enterprises

Li, Zhe; Liu, Ke; Kaibi, Wang; Xiaoliu, Shen

doi:10.1016/j.sepro.2011.11.049

Cited by 10 publications

(7 citation statements)

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“…The growth of profitability of sales with the growth of sales volume indicates an increase in the competitiveness of the company's services, due to factors such as quality, service in customer service, and not the price factor [19][20][21].…”

Section: Resultsmentioning

confidence: 99%

Features of evaluating the efficiency indicators of the electric power enterprise

Novikova

Erastov²,

Livshits

2019

E3S Web Conf.

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The electric power industry is at the dynamic development stage, which is accompanied by reconstruction and modernization of fixed assets. It is necessary to understand that this process leads to the risks that the company will bear in the innovative projects implementation. In this regard, the issues on electric power enterprise efficiency management are relevant. In addition, in market economy, the factors of both external and internal environment can affect the efficiency of an enterprise. The set of these factors, as well as the strength of their influence can vary depending on the industry and enterprise's activities. In this regard, the purpose of this study is to formulate a system of recommendations for managing the efficiency of an electric power enterprise. The object of research is the electric power enterprise of IDGC of the North-West, PJSC. The result of the study is an econometric model, which describes the influence of external and internal factors on the electric power enterprise efficiency. The recommendations developed on the basis of this econometric model are relevant for the construction of strategies and management systems for the efficient operation of electric power enterprises.

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Section: Resultsmentioning

confidence: 99%

Features of evaluating the efficiency indicators of the electric power enterprise

Novikova

Erastov²,

Livshits

2019

E3S Web Conf.

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“…Financial risk is defined as the uncertainty of fluctuations in factors such as interest rates, exchange rates, stock prices, and commodity prices (Li, 2003). Zhe et al (2012) argued that financial risk is the probability of capital loss when using financing methods, which can reduce the ability of enterprises to resume operations.…”

Section: Review Of Literaturementioning

confidence: 99%

Factors affecting financial risks: Evidence from steel enterprises listed on Vietnam's stock market

Ho¹,

Phạm²,

Nguyen³

et al. 2023

Int. j. adv. appl. sci.

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The purpose of this article is to analyze and determine the influence of factors on the financial risks of enterprises in the steel industry listed on Vietnam's stock market. The data of the article are collected and calculated from the financial statements of 26 steel companies listed on the Vietnamese stock market from 2013 to 2020. With the application of E-view software in quantitative analysis to build a panel data regression model, the article has built a regression model to determine the relationship of internal factors affecting the financial risks of steel industry enterprises listed on the Vietnamese stock market. The results indicate that short-term payment ratio, return on assets, asset turnover ratio, working capital turnover, receivables turnover, debt maturity structure, and the ratio of long-term assets have a negative effect on financial risks, while debt ratio has a positive effect on financial risks of steel companies listed on Vietnam’s stock market. The findings of this article are considered to be useful for business managers in helping them to make the right financial decisions to control risks and increase corporate value in their condition.

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“…The result shows that accidents are a key risk factor for thermal power plant operations. Zhe et al [13] evaluated the financial risk of Linfen Power Supply Company, and the result shows that a high debt rate may result in difficulties in paying off debts and refinancing.…”

Section: Literature Reviewmentioning

confidence: 99%

A Hybrid MCDM Model for Evaluating the Market-Oriented Business Regulatory Risk of Power Grid Enterprises Based on the Bayesian Best-Worst Method and MARCOS Approach

Zhang

Lin

et al. 2022

Energies

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As a result of the deepening of China’s power system reform, the market-oriented business development of power grid enterprises is in full swing. However, most of the existing research has focused on the regulatory risks of the regulatory business for power grid enterprises, while ignoring the regulatory risks faced by market-oriented businesses. In order to promote the sustainable development of market-oriented business, a comprehensive regulatory risk assessment framework was constructed for the market business of power grid enterprises. First, the risk assessment index system was constructed from the perspectives of policy risk, business isolation risk, market risk, and safety risk. Then, a novel hybrid multi-criteria decision-making (MCDM) model based on the Bayesian best-worst method and the measurement alternatives and ranking according to the compromise solution approach, was adopted. Finally, eight market-oriented businesses were selected as case studies. The result indicates that organizational isolation risk and operational security risk are the key regulatory risks of the market-oriented business for power grid enterprises. Compared with two other MCDM models, the proposed hybrid MCDM model has good applicability and effectiveness for risk evaluation of the regulatory business. The results of this research can provide support for power enterprises to deal with market-oriented business supervision, and can also provide a reference for power industry regulators.

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Research on Financial Risk Management for Electric Power Enterprises

Cited by 10 publications

References 0 publications

Features of evaluating the efficiency indicators of the electric power enterprise

Features of evaluating the efficiency indicators of the electric power enterprise

Factors affecting financial risks: Evidence from steel enterprises listed on Vietnam's stock market

A Hybrid MCDM Model for Evaluating the Market-Oriented Business Regulatory Risk of Power Grid Enterprises Based on the Bayesian Best-Worst Method and MARCOS Approach

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