Price regulation and supplier margins in the Hungarian electricity markets

Szőke, Tamás; Hortay, Olivér; Farkas, Richárd

doi:10.1016/j.eneco.2021.105098

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…Within the Nigerian context, government interventions have played a major role through institutional and regulatory interventions [22,34,59]. This also continues even after the partial liberalization of the electricity market [41].…”

Section: Discussionmentioning

confidence: 99%

“…This theory helps to probe the effectiveness of different forms of interventions and to question at what point it is desirable and appropriate to intervene in addressing a particular issue [20,21]. Historically, policy makers and government institutions have addressed many systemic problems in different sectors through interventions [22]. This is also true with the energy sector.…”

Section: Ntervention Theory and Energy Systems Interventionsmentioning

confidence: 99%

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Who triggers change? Social network mapping, stakeholder analysis and energy systems interventions in Nigeria’s electricity sector

Edomah

2023

IJSEPM

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Following decades’ of energy systems interventions, there has been growing concerns about the impact of historical interventions on-the-ground and how they shape changes in energy systems. Who are the key actors and how have they shaped historical energy systems interventions? In this study, an analysis of stakeholders in Nigeria’s electricity sector through a social network mapping lens was conducted. First, a stakeholder mapping based on an interest-influence matrix that shows the degree of various stakeholder interest and influence in shaping decisions and interventions in both centralized and decentralized electricity systems was developed. Secondly, a stakeholder network grid that shows the relations between the various stakeholders (who knows whom) was developed. The study reveals that there are stronger network relations among stakeholders involved in issues and decisions on centralized electricity grid infrastructure which is influenced by the presence of stronger regulations/regulatory instruments. However, these stakeholder relations are weaker in decentralized electricity systems due to less stringent regulations in the decentralized electricity space. The study concludes by highlighting the impact of the stakeholder relations and the interest-influence tussle on the future of electricity systems development in Nigeria.

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Section: Discussionmentioning

confidence: 99%

Section: Ntervention Theory and Energy Systems Interventionsmentioning

confidence: 99%

Who triggers change? Social network mapping, stakeholder analysis and energy systems interventions in Nigeria’s electricity sector

Edomah

2023

IJSEPM

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“…More technical papers on electricity market forecasting, energy consumption and price can be found in [19][20][21], in which worldwide viewpoints discussed.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Energy Price Liberalization in Electricity Industry: A Data-Driven Study on Energy Economics

Tabatabaei

Asef

2021

Energies

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This study aims to evaluate the effects of price liberalization on energy consumption intensity, because price liberalization leads to improved productivity, energy consumption management, and consumption reform. Although the energy consumption of large-scale factories and industries has increased dramatically, and the energies losses have an increment in the power transmission lines, this policy can result in decreasing the energy consumption intensity due to the changes in consumption patterns. If there is a correlation between two variables, the price can be a valid variable to control cost and increase consumption efficiency. The augmented Dickey–Fuller (ADF) and the Chi-squared tests are also employed to investigate the maneuverability of these variables in the first-order contrast. In this case study, the energy consumption intensity response to price changes using the data gathered between 1988–2020, has gained a confidence interval of these reactions at 95%. The proposed vector autoregressive (VAR) model has forecasted the action and reaction of the end-user, to investigate the future shocks between 2020–2050, considering a new price shock, in the Iranian energy market for the first time. The research findings have shown that energy price liberalization leads to the energy intensity improvement, however, the end-user (shocking) reactions should be investigated to implement a more sustainable policy that eases the new energy price rises.

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“…At present, more research work has been done around supplier evaluation at home and abroad, including not only the construction of evaluation index system, but also the innovation of evaluation methods, which mainly involves multivariate discriminant analysis (MDA), fuzzy comprehensive evaluation method, gray clustering trigonometry, neural network, and support vector machine, etc [5][6][7][8][9]. Literature [5] conducted a credit scoring study on Tanzanian commercial banks using MDA, but the assumptions of its independent variables are difficult to fulfill in practice.…”

Section: Introductionmentioning

confidence: 99%

“…Literature [8] proposes a smart grid construction evaluation method based on principal component clustering to analyze the value of principal component analysis and factor loading matrix clustering analysis, and adopts a horizontal comparison strategy to reduce the complexity of the problem, and verifies the effectiveness of the method. Literature [9] constructs SDN evaluation index system under the new electricity market pattern, and proposes a comprehensive evaluation model based on collaborative group decision-making, adopting a combination of weighted average operator to agglomerate individual preferences, and realizing the coherence between the interests of the participating individuals and the group through the dynamic adjustment of the information interaction and the weight of the opinions, and the method has a certain degree of dependence on the decision-making subject type and distribution.…”

Section: Introductionmentioning

confidence: 99%

Research on Supplier Evaluation Method Based on Improved Fuzzy Evaluation Model

Ma,

Yang,

et al. 2024

Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29,

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In order to effectively improve the effectiveness and rationality of the evaluation of power material suppliers, a supplier evaluation model is designed based on the improved fuzzy comprehensive evaluation method. Firstly, corporate social responsibility dimension is introduced on the basis of existing supplier evaluation, and a comprehensive evaluation index system containing organizational factors, product factors, supply factors, after-sales factors and social responsibility is constructed. Secondly, in order to avoid the insufficiency of subjective factor assignment in the traditional fuzzy comprehensive evaluation method, hierarchical analysis and factor analysis are adopted to improve the calculation of its weights. Finally, the applicability of the evaluation model is verified by case analysis, which can provide reference significance for the bidding management and operation decision-making of electric power companies.

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Price regulation and supplier margins in the Hungarian electricity markets

Cited by 8 publications

References 16 publications

Who triggers change? Social network mapping, stakeholder analysis and energy systems interventions in Nigeria’s electricity sector

Who triggers change? Social network mapping, stakeholder analysis and energy systems interventions in Nigeria’s electricity sector

Evaluation of Energy Price Liberalization in Electricity Industry: A Data-Driven Study on Energy Economics

Research on Supplier Evaluation Method Based on Improved Fuzzy Evaluation Model

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