Not Fit for 55: Prioritizing Human Well-Being in Residential Energy Consumption in the European Union

LaBelle, Michael; Tóth, Géza; Szép, Tekla

doi:10.3390/en15186687

Cited by 8 publications

(6 citation statements)

References 41 publications

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“…I can cite different studies about the relationship between greenhouse gas emissions and human wellbeing. When energy is used correctly, environmental wellbeing increases [77]. Additionally, ref.…”

Section: Statistical Modelmentioning

confidence: 99%

Climate Change versus Economic Growth: Case of Greenhouse Apply a Study of European Union Countries and England from 2010 to 2019 Using Linear Regression and Neural Networks

Arevalo

2024

Sustainability

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Climate change, encompassing the greenhouse effect, is a scientifically acknowledged fact. Factors such as population increase and limited resources for economic growth warrant consideration. This paper aims to develop a new approach to explore the relationship between the greenhouse effect (including climate change) and economic growth and the social/welfare state and find if the government really focus on the reduction of the greenhouse or is marketing. The objective is to develop a study employing linear regression, neural networks, and other statistical tools to elucidate these relationships. The data comprise figures for the human development index (HDI), the greenhouse effect, the GDP, and environmental indicators. The method used will be a parametric workout about the variables that affect the greenhouse gas emissions, the relationship between it and the HDI, and finally, will apply a prediction of greenhouse effects incorporating a neural network. Since 2020, in European Union countries, and especially in new members, focus has been placed on the HDI rather than on the reduction in the greenhouse effect. On the other hand, neural networks allow advances that enable the European Union to focus on climate change, with large investments planned until 2030 because the reduction in greenhouse gases can be effectively lowered when the countries’ expenditures are focused on environmental protection, including enhancing biodiversity.

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Section: Statistical Modelmentioning

confidence: 99%

Climate Change versus Economic Growth: Case of Greenhouse Apply a Study of European Union Countries and England from 2010 to 2019 Using Linear Regression and Neural Networks

Arevalo

2024

Sustainability

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“…[13][14][15][16], also recognizing their limits [16]; consequently, some new approaches were introduced [17,18], e.g., in Ref. [19], the relationship between residential energy use per capita and human well-being was studied by using the HDI in the 27 European Union member countries over the years 2000-2018. In addition, considerations on the Education Index were developed [20] by introducing the data available from the OECD's Programme for International Student Assessment (PISA), and then a comparison between European and non-European countries was analysed, focusing on government education spending [21].…”

Section: Introductionmentioning

confidence: 99%

Development Indexes, Environmental Cost Impact, and Well-Being: Trends and Comparisons in Italy

Torchio,

Lucia,

Grisolia

2024

Sustainability

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In 1990, the United Nations (UN) presented the Human Development Index (HDI) as a measure of human development that considers three fundamental dimensions: a long and healthy life, being knowledgeable, and having a decent standard of living. This paper proposes some considerations about human well-being factors based on HDI analysis, also introducing some considerations on environmental pollution. As regards environmental issues, two different pollutants are considered together with their environmental costs: (i) greenhouse gas (GHG) emissions, which have an impact on a global scale, and (ii) emissions from fine particulate matter, primarily having an impact on a local scale. Thus, a new index based on the external environmental costs is proposed, and two scenarios are discussed. On the other hand, as it concerns human well-being, the results of surveys among the population are used. Furthermore, other features regarding health services and demographic aspects are taken into account, too. Italy is analysed as a case study over the last three decades. Easterlin’s considerations are verified based on the variation of perceived well-being related to the changes in GDP. The Italian case study shows that despite having achieved a satisfactory HDI level, there is a wide margin for improvement from both the environmental and the well-being standpoints.

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“…At the same time, this comprehensive package of reforms will have different social and economic impacts in different member states. The effects of Fit for 55 will differ from country to country, due to differences in energy mix and natural resources (LaBelle et al, 2022). Central European countries such as the Czech Republic, Hungary, Poland and Slovakia, which make up the Visegrad Group (V4) could experience very severe economic impacts of achieving climate neutrality due to their production structure and fossil fuel-based energy sector (Ambroziak et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Assessing the long-term asymmetric relationship between energy consumption and CO2 emissions: Evidence from the Visegrad Group countries

Suproń

2024

EBR

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This study investigates the impact of renewable (REW) and non-renewable (NREW) energy usage, along with econom-ic growth (GDP), on carbon dioxide (CO2) emissions in the Visegrad countries, which rely heavily on traditional energy sources. Using data from 1991 to 2021, the analysis employs a panel asymmetric regression with Driscoll-Kraay and FGLS standard errors. The latent cointegration test reveals long-term relationships with asymmetry among the variables. Real GDP fluctuations exhibit a negative impact on CO2emissions for both positive and negative shocks. A reduc-tion in conventional energy source consumption leads to a greater CO2 emission reduction, confirming asymmetry. Conversely, an increase in consumption positively impacts CO2 reduction. However, non-conventional energy sources show no asymmetries. The OLS-based model proposed by Driscoll-Kraay showed reduced standard errors, but lower significance in the estimated parameters compared to the FGLS model. The findings recommend a sustainable energy transition for Visegrad countries by eliminating traditional sources and promoting renewable resources.

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Not Fit for 55: Prioritizing Human Well-Being in Residential Energy Consumption in the European Union

Cited by 8 publications

References 41 publications

Climate Change versus Economic Growth: Case of Greenhouse Apply a Study of European Union Countries and England from 2010 to 2019 Using Linear Regression and Neural Networks

Climate Change versus Economic Growth: Case of Greenhouse Apply a Study of European Union Countries and England from 2010 to 2019 Using Linear Regression and Neural Networks

Development Indexes, Environmental Cost Impact, and Well-Being: Trends and Comparisons in Italy

Assessing the long-term asymmetric relationship between energy consumption and CO2 emissions: Evidence from the Visegrad Group countries

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