An empirical analysis of energy intensity and the role of policy instruments

Azhgaliyeva, Dina; Liu, Yang; Liddle, Brantley

doi:10.1016/j.enpol.2020.111773

Cited by 51 publications

(19 citation statements)

References 53 publications

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“…On the other hand, positive correlations are found between the variables GDP per capita and renewable energy consumption (Renewable E) and TFEE. Our results are similar and in line with those of Azhgaliyeva et al, Pan et al and Ohene-Asare et al [15,46,50], showing a positive relationship between economic development and energy efficiency, i.e., increased economic development (GDP per capita) influences the rise in TFEE. Furthermore, renewable energy consumption increases energy efficiency.…”

Section: Discussionsupporting

confidence: 93%

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Link between Energy Efficiency and Sustainable Economic and Financial Development in OECD Countries

et al. 2020

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The growing risk of climate change caused by the emission of greenhouse gases poses new challenges to contemporary countries. The development of economies is usually related to increasing levels of greenhouse gas emissions. Therefore, the question arises whether it is possible to achieve sustainable economic and financial development and simultaneously reduce greenhouse gas emissions. This paper assumes it is possible if energy efficiency is increased. The aim of the paper is to show the link between energy efficiency and sustainable economic and financial development in Organisation for Economic Co-operation and Development (OECD) countries for the period 2000–2018 by using data envelopment analysis (DEA) and regression analysis. The results show a slight upward trend of total factor energy efficiency (TFEE) in OECD countries for the analysed period; however, there is a difference in TFEE levels. Developed OECD countries have higher TFEE levels than developing OECD countries. The links between total factor energy efficiency and sustainable economic and financial development reveal different impacts depending on the variables taken into consideration.

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Section: Discussionsupporting

confidence: 93%

“…Azhgaliyeva et al [50] found that high GDP per capita and energy prices lead to declined energy intensity. Furthermore, they found that five energy efficiency policies lead to lower energy intensity: taxes, standards, grants, strategic planning and government direct investment.…”

Section: Energy Efficiency Sustainable Economic and Financial Develomentioning

confidence: 99%

Link between Energy Efficiency and Sustainable Economic and Financial Development in OECD Countries

et al. 2020

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“…One of the recognized approaches to the analysis of the energy intensity of the energy systems of the country's regions is the study of their groupings according to the specific consumption of energy resources and electricity [11,12,13]. The increased energy consumption per person characterizes the energy saturation of the region and the development of its energy system from the standpoint of production and technological potential and energy ties.…”

Section: Methodsmentioning

confidence: 99%

Strategies development for the formation of resource-saving regional energy systems based on data mining methods

2021

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The Russian regions have been tasked with reducing the energy intensity of the country’s gross product through the implementation of regional state programs for the formation of resource-saving energy systems. The required reduction in the GRP energy intensity can be achieved by different types of strategies for the development of the energy economy of the regions, the effectiveness of which largely depends on the production, technological and structural features of regional energy systems. In the work, using data mining tools, clustering and classification of regional power systems are carried out and the best resource saving strategies are proposed for each of the selected groups of power systems.

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“…This model innovates with respect to previous studies, in which energy intensity, defined as the ratio of energy consumption to GDP, is used as a proxy of energy efficiency. Energy Intensity [8][9][10][11][12][13][14] fails to isolate the effects generated by the level of energy efficiency from those attributable to structural changes in the economy. The stochastic frontier model, on the other hand, using parametric models allows to identify the effects on demand due to the level of energy efficiency.…”

Section: Theoretical Framework and Methodologymentioning

confidence: 99%

“…The introduction of a t-1 time lag in the SFA model (11), that include as usual time dummies (btt), is justified by the delayed effect of the policies promoting energy efficiency analysed in the model: where, i is the th Italian region and t is the th period and we assume that vit ~ iid N(0, σ 2 v) e uit ~ N+(bzzit, σ 2 u).…”

Section: Estimated Energy Demand Model For the Building Sectormentioning

confidence: 99%

The Evaluation of Energy Efficiency Policies in the Building Sector: A Regional Analysis Based on the Stochastic Frontier Approach and on the Energy Environmental Kuznets Curve (EKC) and Policy Implications

Falconi¹

2021

TI-IJES

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The promotion of the Energy Efficiency is one of the priorities of EU energy policy to fight the Climate Change and make Europe climate neutral by 2050 (EC 2020). The civil sector offers high potential for energy efficiency improvement and the buildings are responsible for about 40% of the EU's energy consumption, and 36% of greenhouse gas emissions (EC 2020). In Italy the civil sector (residential and tertiary together), are responsible for approximately 45% of final energy consumption and 17.5% of Italy's CO2 emissions, has a potential in reducing energy consumption of approximately 5,7 Mtoe compared to the base scenario in 2030. The core research question is: “Are national and local energy efficiency policies effective in reducing aggregate energy consumption at regional level in the civil sector?” From the policy maker’s point of view, it is important to understand the effectiveness of the policy instruments introduced to promote energy efficiency. The research framework is based on the frontier analysis and its main objective is to econometrically estimate for the period 2010 to 2017 the energy efficiency level for the civil sector in the Italy regions. The estimates confirm the effectiveness of policy instruments, represented by tax deductions and economic incentives, in creating high potential for energy savings from reduced inefficiency in the civil sector.

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An empirical analysis of energy intensity and the role of policy instruments

Cited by 51 publications

References 53 publications

Link between Energy Efficiency and Sustainable Economic and Financial Development in OECD Countries

Link between Energy Efficiency and Sustainable Economic and Financial Development in OECD Countries

Strategies development for the formation of resource-saving regional energy systems based on data mining methods

The Evaluation of Energy Efficiency Policies in the Building Sector: A Regional Analysis Based on the Stochastic Frontier Approach and on the Energy Environmental Kuznets Curve (EKC) and Policy Implications

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