Assessment of Energy Efficiency in the European Union Countries in 2013 and 2020

Karasek, Aneta; Fura, Barbara; Zajączkowska, Magdalena

doi:10.3390/su15043414

Cited by 9 publications

(4 citation statements)

References 58 publications

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“…Liang-Jun Wang et al argued that industrial energy efficiency is pivotal for achieving energy transformation, carbon emission reduction, and promoting industrial green transformation [5] . Karasek et al employed data envelopment analysis (DEA) to evaluate energy efficiency in European Union (EU) countries from a dynamic perspective [6] .…”

Section: Review Of Domestic and International Researchmentioning

confidence: 99%

Impact of Energy Efficiency and Financial Support on Green Upgrading in China’s Industrial Sector

Zhou,

Yang,

Meng

et al. 2023

PBES

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The report from the 20th National Congress of China emphasizes the importance of focusing on the clean, low-carbon, and efficient use of energy, increasing financial support, and promoting green upgrading within the industrial sector. This paper, based on annual data, employs the entropy weight method to construct a comprehensive index reflecting the impact of green upgrading in industrial sectors. To delve deeper, it utilizes the DEA model to measure energy efficiency and its subdivision BCC model to break down energy efficiency into technical and scale efficiency. The financial support landscape is examined from the vantage points of both direct and indirect financing. Using a multivariate time series model, this paper thoroughly investigates the influence of energy efficiency and financial support on the green upgrading of the industrial sector. The findings reveal a significant positive impact of both energy efficiency and financial support on green upgrading in industrial industries. Notably, scale efficiency emerges as the primary driver of energy efficiency. Moreover, indirect financing proves to be more effective in promoting financial support than direct financing. The empirical results retain their robustness even after substituting explanatory variables. The study concludes by contextualizing the research findings within the current real-world scenario, offering practical insights, and proposing specific recommendations.

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Section: Review Of Domestic and International Researchmentioning

confidence: 99%

Impact of Energy Efficiency and Financial Support on Green Upgrading in China’s Industrial Sector

Zhou,

Yang,

Meng

et al. 2023

PBES

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“…The setting of energy efficiency targets in the E.U. and related legislation and programs have helped to ensure that the reduction of energy consumption contributes to the economic growth of the E.U., environmental protection, and increased competitiveness [12][13][14].…”

Section: Reviewmentioning

confidence: 99%

Effects of Energy Economic Variables on the Economic Growth of the European Union (2010–2019)

Török

2023

Energies

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The economic downturn caused by the financial crisis of 2008–2009 and the intensifying global climate policy trends forced changes in the energy management of the European Union. The study examined how the most relevant energy economic variables affected the economic growth of the E.U. between 2010–2019. The study used the PSL-PM methodology to explore the relationship between G.D.P. (dependent variable) and energy consumption, greenhouse gas emissions, the average energy price, and renewable energy use (independent variables). The main findings are: G.D.P. growth is negatively correlated with CO2 emissions, showing that the E.U. economy is still highly dependent on fossil fuels; the increase in the proportion of renewable energy consumption contributed to the growth of the E.U.’s G.D.P.; CO2 emissions, energy consumption, and the average energy price are more critical in E.U. member states with a lower G.D.P.; renewable energy use and energy balance are essential in countries where more emphasis is placed on replacing traditional energy sources and reducing energy dependence; there is a strong positive correlation between G.D.P. and renewable energy use, indicating that this type of energy use effectively supports E.U. economic growth. The results of the multicollinearity test show that there is also a strong linear dependence between the independent energy economic variables. One of the significances of the study is that the presented and analyzed variables and the relationships between them can contribute to optimizing the E.U.’s currently critical energy management and economic growth.

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“…In the literature, as in many other fields, there are studies carried out using the DEA method in the energy sector (Khoshroo et al, 2013;Arabi et al, 2016;Guo et al, 2017;Jebali et al, 2017;Yang and Wei, 2019;Djordjevic and Krmac, 2019;Yu and He, 2020;Xu et al, 2020;Wang et al, 2021;Zhang and Chen, 2022;Talep, 2023;Yuan et al, 2023;Shah et al, 2023;Yu and Tang, 2023;Karasek et al, 2023). In this context, it is aimed to measure the efficiency of fifteen companies operating in the energy sector in Turkey with the Data Envelopment Analysis (DEA) method.…”

Section: Introductionmentioning

confidence: 99%

Efficiency Evaluation of Energy Companies with Data Envelopment Analysis

ERSOY,

TEHCİ

2023

The Journal of International Scientific Researches

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The increasingly competitive environment in recent years has led businesses to use their resources more effectively. As in many other sectors, the efficient use of resources in the energy sector is essential for companies to ensure their sustainability. In recent years, disasters such as the COVID-19 global epidemic and the Russia-Ukraine war have adversely affected the energy and food sectors. The increase in energy and food prices and high inflation worldwide have revealed the necessity of using resources more efficiently and effectively. This study aims to measure the efficiency of companies operating in the energy sector in Turkey using the Data Envelopment Analysis (DEA) method. The efficiency analysis of fifteen energy companies was carried out using the input-oriented CCR model and Super Efficiency (SE)- CCR model. The number of personnel and total assets were used as input variables for the research, and net sales were used as output variables. As a result of the study, it has been determined that 4 of the energy companies were efficient and 11 were not. The most efficient company was determined according to the SE-CCR model efficiency results. According to these results, some suggestions have been put forward for inefficient businesses to be efficient.

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Assessment of Energy Efficiency in the European Union Countries in 2013 and 2020

Cited by 9 publications

References 58 publications

Impact of Energy Efficiency and Financial Support on Green Upgrading in China’s Industrial Sector

Impact of Energy Efficiency and Financial Support on Green Upgrading in China’s Industrial Sector

Effects of Energy Economic Variables on the Economic Growth of the European Union (2010–2019)

Efficiency Evaluation of Energy Companies with Data Envelopment Analysis

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