Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method

Dmytrów, Krzysztof; Bieszk‐Stolorz, Beata; Landmesser, Joanna

doi:10.3390/en15207756

Cited by 10 publications

(7 citation statements)

References 81 publications

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“…These countries have not included sustainable development as a demand in their policies yet. Interestingly, Romania ranks high in terms of implementing SDG7 [61]. Studies indicate an improvement in the energy use process in this country [68].…”

Section: Discussionmentioning

confidence: 98%

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Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8

Bieszk-Stolorz,

Dmytrów

2023

Sustainability

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The goal of this research is a static geographic comparison of the degree of Sustainable Development Goal 8 (SDG8) implementation and to compare its dynamics for the European Union (EU) in the period of 2002–2021 with the consideration of the COVID-19 pandemic. The level of implementation of the 2030 Agenda for Sustainable Development objectives is monitored both jointly and individually. This research uses the COPRAS, the Dynamic Time Warping (DTW) and the hierarchical clustering methods. The study confirmed the geographical diversity in the degree of SDG8 implementation. Nordic countries have the highest degree of implementation, while Greece, Spain, Italy, Romania and Slovakia have the lowest. Some less-developed countries (Czechia, Poland and Malta) were in the cluster where the implementation improved, and some well-developed countries (France, Luxembourg and Portugal) were in the cluster in which the situation did not improve or improved at a low degree. It was not possible to identify geographical diversity in the dynamics of changes in the degree of SDG8 implementation. The COVID-19 pandemic caused the decline in the degree of SDG8 implementation. The added value of the study consists of comparing the dynamics of the degree of implementation of SDG8 using the DTW method. The obtained conclusions may help to create policies for EU countries in this regard.

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Section: Discussionmentioning

confidence: 98%

“…It was proposed by Bellman and Kalaba [52] and first used for speech recognition [53,54]. Its primary use has been in technical sciences, although more and more often its applications cover the areas of finance [55][56][57], labour markets [58,59] and energy markets [60][61][62].…”

Section: Dynamic Time Warping (Dtw)mentioning

confidence: 99%

Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8

Bieszk-Stolorz,

Dmytrów

2023

Sustainability

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“…Dmytrów et al [ 9 ] proposed an approach to assessing the EU’s progress on SDG 7 at the national level using a synthetic measure obtained by applying the method of complex proportional assessment (COPRAS). They produced a ranking of countries in terms of their progress on SDG 7 by applying the Dynamic Time Warping method.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Because this approach does not take into account the target values these indicators should achieve by 2030, it cannot be used to determine the distance of individual EU countries in relation to targets set for 2030. This approach is applied, among others, by [9][10][11][12][13].…”

Section: The Purpose Of the Articlementioning

confidence: 99%

Progress on SDG 7 achieved by EU countries in relation to the target year 2030: A multidimensional indicator analysis using dynamic relative taxonomy

Walesiak,

Dehnel

2024

PLoS ONE

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In 2015, 193 UN members adopted the resolution “Transforming our world: the 2030 Agenda for Sustainable Development”, which set out 17 Sustainable Development Goals to be achieved by 2030. The aim of the study is to assess progress towards meeting SDG 7 “Ensure access to affordable, reliable, sustainable and modern energy for all” by individual EU countries in 2010–2021 and to determine their distance in relation to the target set for 2030. Eurostat monitors and assesses progress towards SDG 7 using seven indicators. These indicators were used to create an aggregate index. In order to limit the impact of the compensation effect on the ranking of EU countries, we applied dynamic relative taxonomy with the geometric mean to create an aggregate measure that takes into account target values for the indicators with adjusted data. The study reveals systematic progress towards reaching the EU’s SDG 7 in the period 2010–2021, with differences between individual EU countries clearly decreasing. The smallest distance in relation to the target set for SDG 7 can be observed for Sweden, Denmark, Estonia, and Austria. By far the greatest progress in period 2010–2021 has been achieved by Malta, and significant for Cyprus, Latvia, Belgium, Ireland, and Poland.

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“…In these contexts, the importance of renewable energy sources as an alternative source to coal, gas and oil is growing. They also promote energy security and contribute positively to sustainable development worldwide [ 59 ]. In addition, the high energy import dependency of the EU is causing vulnerability to supply shocks, which has been fully manifested in the current form of the energy crisis that Europe is facing [ 60 , 61 ].…”

Section: Conclusion and Policy Recommendationsmentioning

confidence: 99%

European Union and its progress towards affordable and clean energy in context of the Agenda 2030

Megyesiova,

Dul’ová Spišáková,

Gontkovičová

2023

PLoS ONE

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The topic related to affordable and clean energy is currently highly actual. It is essential to realize that affordable and clean energy is energy without negative effects on the environment. Its advantage is that a lot of clean energy is renewable. Therefore, this type of energy contributes positively to the development of several spheres in the economy, such as agriculture, trade, communications, education, health and transport. The aim of the study is to analyze changes in the development of sustainable indicators set of affordable and clean energy in relation to Sustainable Development Goal 7 in the European Union, using cluster analysis to identify the differences and compare changes in the grouping of countries into clusters in the two years studied (2010, 2020). In addition to categorizing countries and confirming differences among member states of the European Union, the results allow us to evaluate the contribution of selected indicators to achieving affordable and clean energy. Our findings indicate that primary energy consumption per capita, final energy consumption in households per capita, energy productivity, share of renewable energy in gross final energy consumption and population unable to keep their home adequately warm shows a positive trend and supports the achievement of the Sustainable Development Goal 7.the energy import dependency is a problematic area in several countries. The results of cluster analysis showed that the largest shifts within the clusters were recorded in Italy, Estonia, and Luxembourg. The most positive shift occurred in Italy due to a significant improvement in four indicators. Luxembourg as a solo country cluster showed in 2020 some of the worst results due to the highest primary energy consumption per capita and the lowest share of renewable energy in gross final energy consumption. The dynamics of Estonia within the clusters was marked by the lowest value of the indicator of dependence on energy imports, as well as an increase in the share of renewable energy and insufficient energy productivity. The results of our study also confirm, that Sweden and Finland are leader countries, which despite high energy consumption are applying renewable energy sources to a greater extent by which they make a positive movement toward affordable and clean energy.

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Sustainable Energy in European Countries: Analysis of Sustainable Development Goal 7 Using the Dynamic Time Warping Method

Cited by 10 publications

References 81 publications

Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8

Decent Work and Economic Growth in EU Countries—Static and Dynamic Analyses of Sustainable Development Goal 8

Progress on SDG 7 achieved by EU countries in relation to the target year 2030: A multidimensional indicator analysis using dynamic relative taxonomy

European Union and its progress towards affordable and clean energy in context of the Agenda 2030

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