{"hits":{"total":{"value":10,"relation":"eq"},"hits":[{"_index":"gesis-01-11-2026-01-05-43","_id":"bibsonomy-kosowski2025convergence","_version":1,"_seq_no":34558,"_primary_term":1,"found":true,"_source":{"id":"bibsonomy-kosowski2025convergence","type":"publication","title":"Convergence or Divergence? A Cluster Analysis of Energy Poverty Patterns Across the European Union Amidst Policy Shifts and Crises","date":"2025","date_recency":"2025","person":["Kosowski, Piotr"],"person_sort":"Kosowski","study":["EU-SILC 2015","EU-SILC 2023"],"language":"english","issn":"1996-1073","doi":"10.3390\/en18123117","source":"In Energies, 18(12), 1-25, 2025","coreEditor":"","corePublisher":"","coreSatit":"","coreJournalTitle":"Energies","corePagerange":"1-25","coreZsband":"18","coreZsnummer":"12","institution":"","abstract":"This paper investigates the dynamics of energy poverty across EU Member States from 2015 to 2023, a period characterized by economic recovery, the COVID-19 pandemic, and a significant energy crisis. Utilizing Eurostat EU-SILC data, the study analyzes trends in four key indicators: the inability to keep homes adequately warm, arrears on utility bills, housing cost overburden rate, and the at-risk-of-poverty rate. Data processing and trend analysis were performed using R and RStudio, while a k-means cluster analysis, executed in Python via Visual Studio Code, identified and compared distinct country groupings based on their energy poverty profiles in 2015 and 2023. The findings reveal a general improvement in energy poverty indicators across the EU until 2019, followed by a marked deterioration, particularly in energy affordability metrics post-2021 due to the energy crisis. This impact was observed to be distinct from general income poverty trends. While significant geographical disparities persist, with Southern and Eastern European countries often more vulnerable, the analysis also points to notable improvements in several Central and Eastern European nations. The cluster analysis, which identified eight clusters in 2015 and seven in 2023, suggests a degree of partial convergence. Key shifts include Poland\u2019s transition to a lower-risk cluster and Spain\u2019s move to a higher-risk group, while Southern Europe generally remains highly susceptible. This research underscores the dynamic and multifaceted nature of energy poverty, highlighting the necessity for targeted, context-specific policies. Addressing energy poverty is crucial for enhancing household resilience and achieving truly comprehensive energy security throughout the EU, especially amid the ongoing energy transition and potential future socio-economic shocks.","bibtex_key":"kosowski2025convergence","remarks":"(SILC)","address":"","recordurl":"https:\/\/doi.org\/10.3390\/en18123117","document_type":"article","tags":["2025","CCBY","FDZ_GML","OA_SSOAR","OAproved","SCIEindexed","SCOPUSindexed","SILC","SILC_input2025","SILC_pro","article","english","indexproved","review_proved","transfer25"],"data_source":["EU-SILC-Bibliography"],"study_group":["European Union Statistics on Income and Living Conditions (EU-SILC)"],"group_description":[],"group_number":[],"group_link":[],"study_group_en":[],"group_description_en":[],"group_link_en":[],"group_image_file":[],"index_source":"Bibsonomy","literature_collection":"GESIS-Literaturpool","gesis_own":1},"system_type":"EXP","doc_rank":1,"rid":53666620},{"_index":"gesis-01-11-2026-01-05-43","_id":"gesis-ssoar-111536","_version":1,"_seq_no":70181,"_primary_term":1,"found":true,"_source":{"date":"2025","link_count":0,"coreJournalTitle":"Energies","coreAuthor":["Kosowski, Piotr"],"source":"In: Energies, 18, 2025, 12, 1-25","title":"Convergence or Divergence? A Cluster Analysis of Energy Poverty Patterns Across the European Union Amidst Policy Shifts and Crises","type":"publication","coreZsnummer":"12","database":"SSOAR - Social Science Open Access Repository","subtype":"journal_article","portal_url":"https:\/\/www.ssoar.info\/ssoar\/handle\/document\/111536","fulltext":1,"links":[{"link":"http:\/\/nbn-resolving.de\/urn:nbn:de:0168-ssoar-111536-8","label":"URN"},{"link":"https:\/\/doi.org\/10.3390\/en18123117","label":"DOI"}],"id":"gesis-ssoar-111536","metadata_quality":10,"document_type":"Zeitschriftenartikel","coreIssn":"1996-1073","person_sort":"Kosowski","coreSjahr":"2025","coreZsband":"18","coreLanguage":"en","abstract":"This paper investigates the dynamics of energy poverty across EU Member States from 2015 to 2023, a period characterized by economic recovery, the COVID-19 pandemic, and a significant energy crisis. Utilizing Eurostat EU-SILC data, the study analyzes trends in four key indicators: the inability to keep homes adequately warm, arrears on utility bills, housing cost overburden rate, and the at-risk-of-poverty rate. Data processing and trend analysis were performed using R and RStudio, while a k-means cluster analysis, executed in Python via Visual Studio Code, identified and compared distinct country groupings based on their energy poverty profiles in 2015 and 2023. The findings reveal a general improvement in energy poverty indicators across the EU until 2019, followed by a marked deterioration, particularly in energy affordability metrics post-2021 due to the energy crisis. This impact was observed to be distinct from general income poverty trends. While significant geographical disparities persist, with Southern and Eastern European countries often more vulnerable, the analysis also points to notable improvements in several Central and Eastern European nations. The cluster analysis, which identified eight clusters in 2015 and seven in 2023, suggests a degree of partial convergence. Key shifts include Poland\u2019s transition to a lower-risk cluster and Spain\u2019s move to a higher-risk group, while Southern Europe generally remains highly susceptible. This research underscores the dynamic and multifaceted nature of energy poverty, highlighting the necessity for targeted, context-specific policies. Addressing energy poverty is crucial for enhancing household resilience and achieving truly comprehensive energy security throughout the EU, especially amid the ongoing energy transition and potential future socio-economic shocks.","data_source":"GESIS-SSOAR","institutions":["FDB"],"urn":"urn:nbn:de:0168-ssoar-111536-8","related_references":[{"view":"Kosowski, P., Kosowska, K., Janiga, D. (2023). Primary Energy Consumption Patterns in Selected European Countries from 1990 to 2021: A Cluster Analysis Approach. Energies, 16.","pdf_url":""},{"view":"Kosowski, P. (2024). From Fossil Fuels to Renewables: Clustering European Primary Energy Production from 1990 to 2022. Energies, 17.","pdf_url":""},{"view":"Team, R., RStudio, P. B. C., Boston, M. A. U., Plab, a., W\u00fcst, s., Kudielka, B. M., M\u00fchlberger, a. (2020). Rstudio: Integrated development environment for r [Computer software manual. dio, PBC, Boston, MA: Software, RStudio, Inc. International Journal of Virtual Reality.<\/a> ","pdf_url":""},{"view":"Foundation, P. S. (2025). Python Language Reference, version 3.11; Python Software Foundation. Wilmington, DE, USA:.","pdf_url":""},{"view":"Corporation, M. (2025). Visual Studio Code. Redmond, WA, USA: Microsoft Corporation.","pdf_url":""},{"view":"Proskuryakova, L. (2018). Updating energy security and environmental policy: Energy security theories revisited. J. Environ. Manag, 223 pp. 203-214.<\/a> ","pdf_url":""},{"view":"Cherp, A., Jewell, J. (2014). The concept of energy secu- rity: Beyond the four As. Energy Policy, 75 pp. 415-421.<\/a> <\/span>PDF<\/a>","pdf_url":"https:\/\/portal.research.lu.se\/files\/3277110\/4938909.pdf"},{"view":"Fang, D., Shi, S., Yu, Q. (2018). Evaluation of Sustainable Energy Security and an Empirical Analysis of China. Sustainability, 10.<\/a> <\/span>PDF<\/a>","pdf_url":"http:\/\/pdfs.semanticscholar.org\/0af5\/fcfdb2789380141466c9bd71bdfe9052d6be.pdf"},{"view":"Lee, C., Xing, W., Lee, C. (2022). The impact of energy security on income inequality: The key role of economic development. Energy, 248.<\/a> ","pdf_url":""},{"view":"Strojny, J., Krakowiak-Bal, A., Knaga, J., Kacorzyk, P. (2023). Energy Security: A Conceptual Overview. Energies, 16.<\/a> <\/span>PDF<\/a>","pdf_url":"http:\/\/repec.rwi-essen.de\/files\/REP_08_052.pdf"},{"view":"Kruyt, B., Vuuren, D., Vries, H., Groenenberg, H. (2009). Indicators for Energy Security\". 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Behavioural attributes towards collective energy security in thermal energy communities: Environmental-friendly behaviour matters. Energy, 261.<\/a> ","pdf_url":""},{"view":"Paravantis, J., Kontoulis, N. (2020). Energy Security and Renewable Energy: A Geopolitical Perspective; IntechOpen Book Chapter; IntechOpen. London, UK:.<\/a> ","pdf_url":""},{"view":"Vald\u00e9s, J. (2018). Arbitrariness in Multidimensional Energy Security Indicators. Ecol. Econ, 145 pp. 263-273.<\/a> ","pdf_url":""},{"view":"Martchamadol, J., Kumar, S. (2013). An aggregated energy security performance indicator. Appl. Energy, 103 pp. 653-670.<\/a> ","pdf_url":""},{"view":". (2024). Comprehensive analysis of energy security indicators and measurement of their integrity. Technol. Forecast. Soc. Change, 200.","pdf_url":""},{"view":"Cornelis, M. (n.d.). What Is the Status of Energy Poverty in the European Union?.","pdf_url":""},{"view":"Heller, A. L., Brunzema, I., Schlomann, B. (2024). Energy Efficiency Policies Across the EU and Their Impact on Alleviating Energy Poverty. Munich, Germany: Insights from the MURE Database; Technical Report; Fraunhofer-Gesellschaft.","pdf_url":""},{"view":"Bouzarovski, S., Petrova, S. (2015). A global perspective on domestic energy depriva-tion: overcoming the energy poverty-fuel poverty binary, Energy Res. Energy Research and Social Science, 10 pp. 31-40.<\/a> <\/span>PDF<\/a>","pdf_url":"https:\/\/s3-eu-west-1.amazonaws.com\/prod-ucs-content-store-eu-west\/content\/pii:S221462961500078X\/MAIN\/application\/pdf\/37349f6211333c51e4434d8f4045bd74\/main.pdf"},{"view":"Casta\u00f1o-Rosa, R., Sol\u00eds-Guzm\u00e1n, J., Rubio-Bellido, C., Marrero, M. (2019). Towards a multiple-indicator approach to energy poverty in the European Union: a review. Energy and Buildings, 193 pp. 36-48.<\/a> ","pdf_url":""},{"view":"Galvin, R. (2024). 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(2015). Energy Poverty in the EU. EP Think Tank | European Parliamentary Research Service Blog.","pdf_url":""},{"view":"Pye, S., Dobbins, A., Baffert, C., Brajkovi\u0107, J., Deane, P., Miglio, R. (2017). Energy Poverty in the EU; Briefing. London, UK: Elsevier. Europe's Energy Transition-Insights for Policy Making, pp. 261-280.<\/a> ","pdf_url":""},{"view":"Observatory, E. U. E. (2023). The Inability to Keep the Home Adequately Warm Indicator: Is It Enough to Measure Energy Poverty? EU Energy Poverty Observatory Newsroom. Brussels, Belgium:.","pdf_url":""},{"view":"MacQueen, J. (1967). Some methods for classification and analysis of multivariate observa- tions\". Berkeley, Berkeley, CA: Statistics. Statistical Laboratory of the University of California. Proceedings of the fifth Berkeley symposium on mathematical statistics and probabi- lity, 1(14), pp. 281-297.<\/a> ","pdf_url":""},{"view":"P. H. (1988). Inc.: Upper Saddle. River, NJ, USA:.","pdf_url":""},{"view":"Kaufman, L., R. 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Pattern Recognition Letters, 31(8), pp. 651-666.<\/a> <\/span>PDF<\/a>","pdf_url":"http:\/\/www.cse.msu.edu\/biometrics\/Publications\/Clustering\/JainClustering_PRL10.pdf"},{"view":"Arthur, D., Vassilvitskii, S. K. M. (2007). The Advantages of Careful Seeding. New Orlean, LA, USA: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA '07, pp. 1027-1035.<\/a> ","pdf_url":""},{"view":"Milligan, G. W., Cooper, M. C. (1985). An examination of procedures for determining the number of clusters in a data set, \"Psychometrika\". Psychometrika, 50(2), pp. 159-179.<\/a> ","pdf_url":""},{"view":"Hastie, T., Tibshirani, R., Friedman, J., Friedman, J. H. (2009). The elements of statistical learning: data mining, infer- ence, and prediction. New York Heckman JJ: SpringerSeriesinStatistics.Berlin:Springer. Data Mining, Inference, and Prediction, 2 pp. 1-758.<\/a> <\/span>PDF<\/a>","pdf_url":"http:\/\/www-stat.stanford.edu\/~hastie\/Papers\/ESLII.pdf"},{"view":"Rousseeuw, P. J. (1987). Silhouettes: A graphical aid to the interpre- tation and validation of cluster analysis. Journal of Computational and Applied Ma- thematics, 20 pp. 53-65.<\/a> <\/span>PDF<\/a>","pdf_url":"https:\/\/s3-eu-west-1.amazonaws.com\/prod-ucs-content-store-eu-west\/content\/pii:0377042787901257\/MAIN\/application\/pdf\/c9b1c79e061929a0419d4733d144d501\/main.pdf"},{"view":"R. C. T., Rammstedt, B., Freeman, J., Kokonyei, G., Thomas, C. A., Erhart, M., Ellwart, T., Becker, E. S. (2020). R: A language and environment for statistical computing (Version 4.4.1) [Computer software]. R Foundation for Statistical Computing. StataCorp LLC, College Station, TX: R Foundation for Satistical Computing. Vienna,Austria. antisemitism.de\/documents\/2020-09-08_Riasbund_Antisemitismus_im_Kontext_ von_covid-19.pdf RIAS, Bundesverband der Recherche-und Informationsstellen Antisemitismus e.V, 290 pp. 175-184.<\/a> <\/span>PDF<\/a>","pdf_url":"https:\/\/upcommons.upc.edu\/bitstream\/2117\/341936\/1\/SciRep_proofs.pdf"},{"view":"Note, D. P. (n.d.). The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and\/or the editor(s). MDPI and\/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods.","pdf_url":""}],"person":["Kosowski, Piotr"],"index_source":"GESIS-SSOAR","topic":["EU","Energie","Armut","Sicherheit","Cluster-Analyse","erneuerbare Energie","Krise","nachhaltige Entwicklung","Energiepolitik","EU-Staat"],"date_recency":"2025","gesis_own":1,"doi":"https:\/\/doi.org\/10.3390\/en18123117"},"system_type":"BASE","doc_rank":2,"rid":53666620},{"_index":"gesis-01-11-2026-01-05-43","_id":"gesis-ssoar-112753","_version":2,"_seq_no":112396,"_primary_term":1,"found":true,"_source":{"date":"2025","link_count":2,"coreJournalTitle":"Sustainability","coreAuthor":["Becker, Aneta","Ole\u0144czuk-Paszel, Anna","Sompolska-Rzechu\u0142a, Agnieszka"],"source":"In: Sustainability, 17, 2025, 11, 1-37","title":"Quality of Life and Energy Efficiency in Europe - A Multi-Criteria Classification of Countries and Analysis of Regional Disproportions","type":"publication","coreZsnummer":"11","database":"SSOAR - Social Science Open Access Repository","subtype":"journal_article","portal_url":"https:\/\/www.ssoar.info\/ssoar\/handle\/document\/112753","fulltext":1,"links":[{"link":"http:\/\/nbn-resolving.de\/urn:nbn:de:0168-ssoar-112753-8","label":"URN"},{"link":"https:\/\/doi.org\/10.3390\/su17114768","label":"DOI"}],"id":"gesis-ssoar-112753","metadata_quality":10,"document_type":"Zeitschriftenartikel","coreIssn":"2071-1050","person_sort":"BeckerOle\u0144czuk-PaszelSompolska-Rzechu\u0142a","coreSjahr":"2025","coreZsband":"17","coreLanguage":"en","abstract":"Energy efficiency (EE) is an important driver of quality of life (QoL), which is an overarching goal of sustainable development (SD). The levels of these phenomena in the European Union (EU) vary. Previous analyses presented in the literature have focused mainly on a one-dimensional view of EE and QoL. The authors of this article, given the multidimensional nature of the phenomena under study, present both categories from a holistic perspective. The purpose of this study was to identify the level of QoL in the context of EE and to compare the results of the classification of EU countries in terms of the analyzed phenomena. The study was conducted using the ELECTRE Tri method, one of the advanced techniques of multi-criteria decision analysis (MCDA). The classification procedure used made it possible to assign countries to predefined decision-making categories on the basis of preference threshold values and dominance relations to reference profiles. The 27 EU member states were analyzed on the basis of empirical data from 2023, using a set of 20 indicators characterizing EE and QoL. Countries were assigned to one of five classes, differentiating the level of development in both analyzed areas. Optimistic and pessimistic approaches were used to assess the stability of the classifications. The analysis showed the presence of countries with consistent results (e.g., Poland and Germany), extreme countries (Ireland and the Netherlands - high QoL with low EE; Romania and Croatia - inversely), as well as non-unique cases (e.g., Malta, the Czech Republic\/Czechia, and Finland). The spatial approach indicated regions requiring special support. The results of the study can be a useful tool to support the process of designing public policies aimed at integrating social, economic, energy, and environmental goals within SD.","data_source":"GESIS-SSOAR","institutions":["FDB"],"urn":"urn:nbn:de:0168-ssoar-112753-8","related_references":[{"view":"Roszko-W\u00f3jtowicz, E., Grzelak, M. M. (2018). Wielowymiarowe uj\u0119cie zr\u00f3 \u017cnicowania poziomu QoL w wojew\u00f3dztwach w Polsce. Polityki Eur. Finans. Mark, 20 pp. 197-214.<\/a> ","pdf_url":""},{"view":"Easterlin, R. A., O'Connor, K. J. (2020). The Easterlin Paradox: An Interpretation. Bonn: IZA Institute of Labour Economics. Handbook of labor, human resources and population economics.<\/a> ","pdf_url":""},{"view":"Zapf, W. (n.d.). Individual Wohlfarth: Living Conditions and Perceived Quality of Life. Quality of Life in the Federal Republic of Germany. Objective Refreshment Conditions and Subjective Well-Being.","pdf_url":""},{"view":"Stiglitz, J. E., ., Fitoussi, J. P., ., Helmrich, R., Hall, A., ., Bott, P., Deaton, A. S., Dervis, K., Fleurbaey, M., Folbre, N., Gadrey, J., Giovannini, E., Guesnerie, R., Heckman, J. J., Heal, G., Henry, C., Kahneman, D., Krueger, A. B., Oswald, A. J., Putnam, R. D., Stern, N., Sunstein, C., Weil, P. (2009). Is There Progress in the Measurement of Individual Well-Being and Social Welfare? Commission on the Measurement of Economic Performance and Social Progress (CMEPSP. Paris, France: Insee. Berufs- feldprojektionen des BIBB auf Basis der Klassifikation der Berufe 1992. Wissenschaftliche Diskussionspapie- re des Bundesinstituts f\u00fcr Berufsbildung, pp. 8131721.<\/a> <\/span>PDF<\/a>","pdf_url":"http:\/\/epubs.surrey.ac.uk\/729081\/1\/00139157.2011.pdf"},{"view":"Cai, T., Verze, P., Johansen, T. E. (2021). The Quality of Life Definition: Where Are We Going?. Uro, 1 pp. 14-22.<\/a> ","pdf_url":""},{"view":"Szaja, M., Ziemba, P. (2025). Stochastic Modelling in Multi-Criteria Evaluation of Quality of Life-The Case of the West Pomeranian Voivodeship in Poland. Sustainability, 17.","pdf_url":""},{"view":". (2025). Housing Conditions and the Quality of Life of the Populations of the European Union Countries. Sustainability, 17.","pdf_url":""},{"view":"Wnuk, M., Zielonka, D., Purandare, B., Kaniewski, A., Klimberg, A., Ulatowska-Szostak, E., Palicka, E., Zarzycki, A., Kaminiarz, E. (2013). Przegl \u0105d Koncepcji QoL w Naukach Spo\u0142ecznych. Hygeia Public Health, 48 pp. 10-16.","pdf_url":""},{"view":"Maggino, F., Zumbo, B. D. (2011). Measuring the Quality of Life and the Construc- tion of Social Indicators. Dordrecht, The Netherlands: Springer. Handbook of social indicators and Quality of Life research, pp. 201-238.<\/a> <\/span>PDF<\/a>","pdf_url":"https:\/\/flore.unifi.it\/bitstream\/2158\/592408\/1\/measuring%20the%20qol%20and%20the%20construction%20of%20social%20indicators.pdf"},{"view":"Upton, D., Upton, P. (2015). Encyclopedia of quality of life and well-being research. Dordrecht, The Netherlands: Springer. Psychology of Wounds and Wound Care in Clinical Practice, pp. 85-111.<\/a> <\/span>PDF<\/a>","pdf_url":"https:\/\/estudogeral.sib.uc.pt\/bitstream\/10316\/45393\/1\/Parents%20with%20asthmatic%20children%2c%20Quality%20of%20life.pdf"},{"view":"Fuchs, D., Schlipphak, B., Treib, O., Long, L. A. N., Lederer, M. (2020). Which Way Forward in Measuring the Quality of Life? A Critical Analysis of Sustainability and Well-Being Indicator Sets. Glob. Environ. Politics, 20 pp. 12-36.<\/a> <\/span>PDF<\/a>","pdf_url":"https:\/\/direct.mit.edu\/glep\/article-pdf\/20\/2\/12\/1859719\/glep_a_00554.pdf"},{"view":"Arora, N. K., Mishra, I. (2022). Progress of Sustainable Development Goal 7: Clean and Green Energy for All as the Biggest Challenge to Combat Climate Crisis. Environ. Sustain, 5 pp. 395-399.","pdf_url":""},{"view":"\u0141ukaszczyk, Z., Burda, K. (2024). Transformacja energetyczna przedsi\u0119biorstwa komunalnego-Studium przypadku. Syst. 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The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and\/or the editor(s). MDPI and\/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods.","pdf_url":""},{"view":"W. H. O., Robine, J. M., Jagger, C. (1997). Measuring quality of life (WHOQOL). The World Health Organization quality of life instruments. Geneva, Switzerland: World Health Organization. Die Operationalisierung von ESeC im kumulierten ALLBUS 1980-2006, 13(3), pp. 6-14.<\/a> ","pdf_url":""}],"related_research_data_search":[{"view":"EU Statistics on Income and Living Conditions","link":"?q=EU Statistics on Income and Living Conditions&type=research_data","link_reason":" EU-SILC<\/b> "},{"view":"EU Statistics on Income and Living Conditions","link":"?q=EU Statistics on Income and Living Conditions&type=research_data","link_reason":" EU-SILC<\/b> "}],"person":["Becker, Aneta","Ole\u0144czuk-Paszel, Anna","Sompolska-Rzechu\u0142a, Agnieszka"],"index_source":"GESIS-SSOAR","topic":["EU","Energie","Lebensqualit\u00e4t","nachhaltige Entwicklung","erneuerbare Energie","regionale Faktoren"],"date_recency":"2025","gesis_own":1,"doi":"https:\/\/doi.org\/10.3390\/su17114768"},"system_type":"BASE","doc_rank":3,"rid":53666620},{"_index":"gesis-01-11-2026-01-05-43","_id":"gesis-ssoar-93943","_version":1,"_seq_no":74185,"_primary_term":1,"found":true,"_source":{"date":"2022","study":["EU-SILC"],"study_group":["European Union Statistics on Income and Living Conditions (EU-SILC)"],"link_count":0,"coreJournalTitle":"Problemy Ekorozwoju \/ Problems of Sustainable Development","coreAuthor":["Mlaskawa, Julita"],"language":["english"],"source":"In: Problemy Ekorozwoju \/ Problems of Sustainable Development, 17, 2022, 2, 110-123","title":"Renewable Energy and Poverty in Sustainable Development of the European Union","type":"publication","coreZsnummer":"2","database":"SSOAR - Social Science Open Access Repository","subtype":"journal_article","portal_url":"https:\/\/www.ssoar.info\/ssoar\/handle\/document\/93943","fulltext":1,"links":[{"link":"http:\/\/nbn-resolving.de\/urn:nbn:de:0168-ssoar-93943-0","label":"URN"},{"link":"https:\/\/doi.org\/10.35784\/pe.2022.2.12","label":"DOI"}],"id":"gesis-ssoar-93943","metadata_quality":10,"document_type":"Zeitschriftenartikel","coreIssn":"2080-1971","person_sort":"Mlaskawa","coreSjahr":"2022","coreZsband":"17","coreLanguage":"en","abstract":"The current socioeconomic development results in a number of consequences that lead to changes in the environment. These changes are often harmful and are associated with over- or misuse of natural resources. The issue of sustainable development is increasingly taking a prominent place in regional and local development strategies. Access to energy services is essential for social inclusion. Addressing poverty, including energy poverty, can bring a number of benefits related to reduced health expenditures, reduced air pollution, improved comfort and well-being, and improved household budgets, among other things. According to the results of the analysis, the utilisation of energy from renewable sources is intrinsically linked with the salary level - on average, a higher salary level is accompanied by a larger scale of utilising energy from renewable sources. In spite of the expected negative value, a similar relationship has been observed in the case of correlating the level of poverty with the use of energy from renewable sources - it is higher when the use of energy from renewable sources is higher. The performed study indicates the lack of adequately constructed support mechanisms for the poor in terms of financing and operating installations generating green energy, as well as the lack of proper education as regards local and global benefits resulting from prosumer energy. The desire to eliminate the abovementioned barriers necessitates the continuation of actions concerning synergistic accomplishment of the first and seventh targets, constituting two out of seventeen foundations of sustainable development.","data_source":["GESIS-SSOAR","EU-SILC-Bibliography"],"institutions":["FDB"],"urn":"urn:nbn:de:0168-ssoar-93943-0","related_references":[{"view":"J., A. B. R., M., K. O. S., S, R. A. U. (2019). 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Energy Policy, 49 pp. 76-82.<\/a> ","pdf_url":""}],"person":["Mlaskawa, Julita"],"index_source":"GESIS-SSOAR","topic":["EU","nachhaltige Entwicklung","erneuerbare Energie","Armut","sozio\u00f6konomische Entwicklung","Umweltverschmutzung","Einkommensunterschied"],"date_recency":"2022","gesis_own":1,"doi":["https:\/\/doi.org\/10.35784\/pe.2022.2.12","10.35784\/pe.2022.2.12"]},"system_type":"EXP","doc_rank":4,"rid":53666620},{"_index":"gesis-01-11-2026-01-05-43","_id":"gesis-ssoar-98026","_version":1,"_seq_no":75958,"_primary_term":1,"found":true,"_source":{"date":"2023","study":["EU-SILC 2005-2020"],"study_group":["European Union Statistics on Income and Living Conditions (EU-SILC)"],"link_count":0,"coreJournalTitle":"Energy Efficiency","coreAuthor":["Anastasiou, Athanasios","Zaroutieri, Eftychia"],"language":["english"],"source":"In: Energy Efficiency, 16, 2023, 5, 1-28","title":"Energy poverty and the convergence hypothesis across EU member states","type":"publication","coreZsnummer":"5","database":"SSOAR - Social Science Open Access Repository","subtype":"journal_article","portal_url":"https:\/\/www.ssoar.info\/ssoar\/handle\/document\/98026","fulltext":1,"links":[{"link":"http:\/\/nbn-resolving.de\/urn:nbn:de:0168-ssoar-98026-7","label":"URN"},{"link":"https:\/\/doi.org\/10.1007\/s12053-023-10113-9","label":"DOI"}],"id":"gesis-ssoar-98026","metadata_quality":10,"document_type":"Zeitschriftenartikel","coreIssn":"1570-6478","person_sort":"AnastasiouZaroutieri","coreSjahr":"2023","coreZsband":"16","coreLanguage":"en","abstract":"Energy poverty is an emerging issue towards global affairs. Currently, the development of energy-related policies is becoming essential, with regard to new societies, social inclusion and social rights. In this paper, we examine the dynamic patterns of energy poverty among 27 EU member states between 2005 and 2020. We use the log-t regression test to investigate the convergence hypothesis, and the P&S data-driven algorithm to detect potential convergence clubs. The empirical results of energy poverty indicators are mixed, and the convergence hypothesis of the states is rejected. Instead, convergence clubs are exhibited, implying that groups of countries converge to different steady states in the long run. In view of the convergence clubs, we suggest that the affordability of heating services is potentially explained by structural conditions of housing, climate conditions and energy costs. Besides, the adverse financial and social conditions for the European households have significantly triggered the arrears on utility bills. 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Analysis of Policies and Measures, 378.<\/a> ","pdf_url":""}],"person":["Anastasiou, Athanasios","Zaroutieri, Eftychia"],"index_source":"GESIS-SSOAR","topic":["Energie","Kosten","Energiepolitik","Klimapolitik","Privathaushalt","Wohnverh\u00e4ltnisse","Effizienz","Armut","Ungleichheit","Europa"],"date_recency":"2023","gesis_own":1,"doi":["https:\/\/doi.org\/10.1007\/s12053-023-10113-9","10.1007\/s12053-023-10113-9"]},"system_type":"BASE","doc_rank":5,"rid":53666620},{"_index":"gesis-01-11-2026-01-05-43","_id":"gesis-ssoar-108713","_version":1,"_seq_no":66353,"_primary_term":1,"found":true,"_source":{"date":"2024","study":["EU-SILC 2010-2022"],"study_group":["European Union Statistics on Income and Living Conditions (EU-SILC)"],"link_count":0,"coreJournalTitle":"Energies","coreAuthor":["Cyrek, Magdalena","Cyrek, Piotr","Bie\u0144kowska-Go\u0142asa, Wioletta","Go\u0142asa, Piotr"],"language":["english"],"source":"In: Energies, 17, 2024, 19","title":"The Convergence of Energy Poverty across Countries in the European Union","type":"publication","coreZsnummer":"19","database":"SSOAR - Social Science Open Access Repository","subtype":"journal_article","portal_url":"https:\/\/www.ssoar.info\/ssoar\/handle\/document\/108713","fulltext":1,"links":[{"link":"http:\/\/nbn-resolving.de\/urn:nbn:de:0168-ssoar-108713-2","label":"URN"},{"link":"https:\/\/doi.org\/10.3390\/en17194957","label":"DOI"}],"id":"gesis-ssoar-108713","metadata_quality":10,"document_type":"Zeitschriftenartikel","coreIssn":"1996-1073","person_sort":"CyrekCyrekBie\u0144kowska-Go\u0142asa","coreSjahr":"2024","coreZsband":"17","coreLanguage":"en","abstract":"With growing attention being paid to the problems of sustainable development and just transition, energy poverty emerges as a focal issue to be addressed by the Common Policy. However, the dynamics of this phenomenon across the EU still appear to be insufficiently recognised. Therefore, this study deals with the problem of energy poverty convergence and aims to test it for the 27 EU countries over the period 2010-2022. Contrary to limited studies of energy poverty convergence that use a simple indicator, it uses aggregate measures based on consensual consequential indicators of energy poverty to verify the hypothesis of convergence. Absolute and conditional beta convergence are considered. Potential determinants of energy poverty are incorporated into a model of conditional convergence. The analysis confirms the existence of beta convergence of energy poverty in the EU, indicating the progressing socio-economic cohesion of the member states. The results, thus, deliver some arguments supporting an integrative approach to the energy policy of the EU. The research reveals that, among the factors influencing EP dynamics, an important role may be attributed to technological catch-up and income distribution across a society. Sustainable development should thus be supported with energy modernisation efforts of an inclusive character.","data_source":["GESIS-SSOAR","EU-SILC-Bibliography"],"institutions":["FDB"],"urn":"urn:nbn:de:0168-ssoar-108713-2","issn":["19961073"],"related_references":[{"view":"Thomson, H., Bouzarovski, S., Snell, C. (2017). Rethinking the measurement of energy poverty in Europe: a critical analysis of indicators and data. Indoor and Built Environment [Internet, 26(7), pp. 879-901.<\/a> ","pdf_url":""},{"view":"Anastasiou, A., Zaroutieri, E. (2023). Energy poverty and the convergence hypothesis across EU member states. Energy Effic, 16.","pdf_url":""},{"view":"Menyhert, B. (2024). Energy Poverty in the European Union. The Art of Kaleidoscopic Measurement. 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J., Rehman, H. U., Abbas, Q. (2024). 'The promissory note at COP-21 of sustainable energy for all' Is it converging toward economic development? Environ. Dev. Sustain, 26 pp. 26557.","pdf_url":""},{"view":"Faiella, I., Lavecchia, L., Miniaci, R., Valbonesi, P. (2022). Household energy poverty and the \"Just Transition.\". Springer. Handbook of Labor, Human Resources and Population Economics, pp. 1-16.<\/a> ","pdf_url":""},{"view":"Commission, E., ., ., ., ., ., K., Probst, G., L. (2004). Communication from the Commission on 'Europe 2020: A strategy for smart, sustainable andinclusive growth'\ufffd Luxembourg\ufffd European Commission (2011): Communication from the Commission to the Eu- ropean Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions on 'Supporting growth and jobs -an agenda for themodernisation of Europe's higher education systems'\ufffd Luxembourg\ufffd European Parliament (2000. 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Clean Energy for All Europeans; Publications Office. Luxembourg:.","pdf_url":""},{"view":"Fragkos, P., Kanellou, E., Konstantopoulos, G., Nikas, A., Fragkiadakis, K., Filipidou, F., Fotiou, T., Doukas, H. (n.d.). Energy poverty and just transformation in Greece. Vulnerable Households in the Energy Transition. Energy Poverty, Demographics and Policies.","pdf_url":""},{"view":"Kounetas, K. E. (2018). Energy consumption and CO 2 emissions convergence in European Union member countries. A tonneau des Danaides?. Energy Econ, 69 pp. 111-127.<\/a> ","pdf_url":""},{"view":"Mohammadi, H., Ram, R. (2017). Convergence in energy consumption per capita across the US states, 1970-2013: An exploration through selected parametric and nonparametric methods. Energy Econ, 62 pp. 404-410.<\/a> ","pdf_url":""},{"view":"Mishra, V., Smyth, R. (2017). Conditional convergence in Australia's energy consumption at the sector level. Energy Economics, 62 pp. 396-403.<\/a> <\/span>PDF<\/a>","pdf_url":"https:\/\/www.monash.edu\/business\/economics\/research\/publications\/publications2\/0816-australiaenergymishrasmyth.pdf"},{"view":"Duman, Y. S., Kasman, A. (2018). Environmental technical efficiency in EU member and candidate countries: A parametric hyperbolic distance function approach. Energy, 147 pp. 297-307.<\/a> ","pdf_url":""},{"view":"Balado-Naves, R., Ba\u00f1os-Pino, J. F., Mayor, M. (2023). Spatial spillovers and world energy intensity convergence. Energy Econ, 124.","pdf_url":""},{"view":"Salman, M., Zha, D., Wang, G. (2022). Assessment of energy poverty convergence: a global analysis. Energy, 255.<\/a> ","pdf_url":""},{"view":"Gonz\u00e1lez, F. A. I., Ib\u00e1\u00f1ez-Mart\u00edn, M. M. (2023). Six Decades of Energy Poverty: Reducing Disparities in Latin America and the Caribbean? Rev. INVI, 38 pp. 71-99.","pdf_url":""},{"view":"Swan, T. W., Romer, P. M. (1956). Economic growth and capital accumulation. 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EU-SILC Survey: Gini Coefficient of Equivalised Disposable Income [ilc_di12__custom_9594890.","pdf_url":""},{"view":"Tundys, B., Bretyn, A., Urbaniak, M. (2021). Energy poverty and sustainable economic development: an exploration of correlations and interdependencies in european countries. Energies, 14.<\/a> ","pdf_url":""},{"view":"Streimikiene, D., Kyriakopoulos, G. L., Wees, M., Revilla, B. P., Fitzgerald, H., Ahlers, D., Romero, N., Alpagut, B., Smit, S., . (2023). Energy poverty and low carbon energy transition. Cham: Springer. Energies, 16(2).","pdf_url":""},{"view":"Zheng, C., Chen, H. (2023). Revisiting the linkage between financial inclusion and energy productivity: Technology implications for climate change. Sustain. Energy Technol. Assess, 57.","pdf_url":""},{"view":"Hashemizadeh, A., Ju, Y., Abadi, F. Z. B. (2024). Policy design for renewable energy development based on government support: A system dynamics model. Appl. Energy, 376.","pdf_url":""},{"view":"Note, D. P. (n.d.). The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and\/or the editor(s). MDPI and\/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods.","pdf_url":""}],"person":["Cyrek, Magdalena","Cyrek, Piotr","Bie\u0144kowska-Go\u0142asa, Wioletta","Go\u0142asa, Piotr"],"index_source":"GESIS-SSOAR","topic":["EU","Energie","Kosten","Armut","Energiepolitik","nachhaltige Entwicklung","Energieversorgung"],"date_recency":"2024","gesis_own":1,"doi":["https:\/\/doi.org\/10.3390\/en17194957","10.3390\/en17194957"]},"system_type":"EXP","doc_rank":6,"rid":53666620},{"_index":"gesis-01-11-2026-01-05-43","_id":"bibsonomy-tanil2023sustainable","_version":1,"_seq_no":35387,"_primary_term":1,"found":true,"_source":{"id":"bibsonomy-tanil2023sustainable","type":"publication","title":"Sustainable Energy Development: A Comparative Policy Analysis of the EU Member States","date":"2023","date_recency":"2023","person":["Tanil, Gamze"],"person_sort":"Tanil","language":"english","doi":"10.1007\/978-3-031-28065-8","source":"63, Springer, 2023","coreEditor":"","corePublisher":"Springer","coreSatit":"","coreJournalTitle":"","corePagerange":"","coreZsband":"63","coreZsnummer":"","institution":"","abstract":"This book investigates how the EU member states\u2019 domestic energy policies have transformed in the last two decades as a consequence of horizontal and vertical integration forces. Integration is a dynamic process where member states adopt community rules, norms, and values, and meanwhile, learn from each other\u2019s experiences. Today, Europe experiences an energy transition from fossil-fuels to cleaner sources of energy and European policy makers are committed to taking this significant step forward. Domestic structural change is, thus, observed in all member states\u2018 environmental and energy policies. This book presents an overview of the EU norms, legislation, and policy standards for renewable energies and analyses how member states transpose them into their domestic structure. The book also analyses the policy outcomes in the EU member states in a comparative perspective by using the most recent statistical data. This comparative analysis gives insight to investors and developers to decide on investment projects and\/or manufacturing of renewable energy devices to these countries. It also provides a useful reference for policy makers, academics, students, and NGOs who need a quick overview of relevant national and EU legislation, policy standards, and policy outcomes.","bibtex_key":"tanil2023sustainable","remarks":"(Eurobarometer)","address":"Cham","recordurl":"https:\/\/doi.org\/10.1007\/978-3-031-28065-8","document_type":"book","tags":["2023","EB_contra","EB_input2000","Eurobarometer","FDZ_IUP","book","english","evaliup","rp"],"data_source":["Eurobarometer-Bibliography"],"study_group":["EB - Standard and Special Eurobarometer"],"group_description":["Seit Anfang der siebziger Jahre erhebt die Europ\u00e4ische Kommission mit dem \"Standard and Special Eurobarometer\" regelm\u00e4\u00dfig die \u00f6ffentliche Meinung in den Mitgliedstaaten der Europ\u00e4ischen Union. Die Befragungen werden jeweils im Fr\u00fchjahr und im Herbst auf der Grundlage neuer Stichproben mit einer Gr\u00f6\u00dfe von 1000 Befragten pro Land pers\u00f6nlich durchgef\u00fchrt. F\u00fcr Nordirland und Ostdeutschland werden gesonderte Stichproben gezogen. Nach der EU-Erweiterung im Jahr 2004 werden auch die verbleibenden und die neuen Beitrittskandidaten regelm\u00e4\u00dfig in ausgew\u00e4hlte Umfragen einbezogen. Die Standard-Eurobarometer-Module fragen nach der Einstellung zur europ\u00e4ischen Einigung, zu den Institutionen und zur Politik, erg\u00e4nzt durch Messungen zu allgemeinen soziopolitischen Orientierungen sowie zu den demografischen Merkmalen der Befragten und der Haushalte. In unregelm\u00e4\u00dfigen Abst\u00e4nden befassen sich spezielle Eurobarometer-Module ausf\u00fchrlich mit Themen wie Umwelt, Wissenschaft und Technologie, Gesundheit oder Familie, soziale oder ethnische Ausgrenzung, Lebensqualit\u00e4t usw. Die \"European Communities Studies\" 1970-1973 k\u00f6nnen als Vorl\u00e4uferstudien angesehen werden, ebenso wie die \"Attitudes towards Europe\" von 1962."],"group_number":["0008"],"group_link":["http:\/\/www.gesis.org\/eurobarometer-data-service\/survey-series\/standard-special-eb\/"],"study_group_en":["EB - Standard and Special Eurobarometer"],"group_description_en":["Since the early nineteen seventies the European Commission\u00b4s \u201cStandard and Special Eurobarometer\u201d are regularly monitoring the public opinion in the European Union member countries at times. Interviews are conducted face-to-face, in each spring and each autumn, at all times based on new samples with a size 1000 respondents per country. Separate samples are drawn for Northern Ireland and East Germany. After the EU enlargement in 2004, remaining and new Candidate Countries are also regularly included in selected surveys. The Standard Eurobarometer modules ask for attitudes towards European unification, institutions and policies, complemented by measurements for general socio-political orientations, as well as by respondent and household demographics. Intermittently special Eurobarometer modules extensively address topics, such as environment, science and technology, health or family issues, social or ethnic exclusion, quality of life etc. The \u201cEuropean Communities Studies\u201d 1970-1973 can be considered forerunner studies, as well the \u201cAttitudes towards Europe\u201d from 1962."],"group_link_en":["http:\/\/www.gesis.org\/eurobarometer-data-service\/survey-series\/standard-special-eb\/"],"group_image_file":["eb_logo.jpg"],"index_source":"Bibsonomy","literature_collection":"GESIS-Literaturpool","gesis_own":1},"system_type":"BASE","doc_rank":7,"rid":53666620},{"_index":"gesis-01-11-2026-01-05-43","_id":"bibsonomy-becker2025quality","_version":2,"_seq_no":109940,"_primary_term":1,"found":true,"_source":{"id":"bibsonomy-becker2025quality","type":"publication","title":"Quality of Life and Energy Efficiency in Europe - A Multi-Criteria Classification of Countries and Analysis of Regional Disproportions","date":"2025","date_recency":"2025","person":["Becker, Aneta","Ole\u0144czuk-Paszel, Anna","Sompolska-Rzechu\u0142a, Agnieszka"],"person_sort":"BeckerOle\u0144czuk-PaszelSompolska-Rzechu\u0142a","study":"EU-SILC","language":"english","issn":"20711050","doi":"10.3390\/su17114768","source":"In Sustainability, 17(11), 1-37, 2025","coreEditor":"","corePublisher":"","coreSatit":"","coreJournalTitle":"Sustainability","corePagerange":"1-37","coreZsband":"17","coreZsnummer":"11","institution":"","abstract":" Energy efficiency (EE) is an important driver of quality of life (QoL), which is an overarching goal of sustainable development (SD). The levels of these phenomena in the European Union (EU) vary. Previous analyses presented in the literature have focused mainly on a one-dimensional view of EE and QoL. The authors of this article, given the multidimensional nature of the phenomena under study, present both categories from a holistic perspective. The purpose of this study was to identify the level of QoL in the context of EE and to compare the results of the classification of EU countries in terms of the analyzed phenomena. The study was conducted using the ELECTRE Tri method, one of the advanced techniques of multi-criteria decision analysis (MCDA). The classification procedure used made it possible to assign countries to predefined decision-making categories on the basis of preference threshold values and dominance relations to reference profiles. The 27 EU member states were analyzed on the basis of empirical data from 2023, using a set of 20 indicators characterizing EE and QoL. Countries were assigned to one of five classes, differentiating the level of development in both analyzed areas. Optimistic and pessimistic approaches were used to assess the stability of the classifications. The analysis showed the presence of countries with consistent results (e.g., Poland and Germany), extreme countries (Ireland and the Netherlands\u2014high QoL with low EE; Romania and Croatia\u2014inversely), as well as non-unique cases (e.g., Malta, the Czech Republic\/Czechia, and Finland). The spatial approach indicated regions requiring special support. The results of the study can be a useful tool to support the process of designing public policies aimed at integrating social, economic, energy, and environmental goals within SD.","bibtex_key":"becker2025quality","remarks":"(SILC)","address":"","recordurl":"https:\/\/doi.org\/10.3390\/su17114768","document_type":"article","tags":["2025","CCBY","FDZ_GML","OA_SSOAR","OAproved","SCIEindexed","SCOPUSindexed","SILC","SILC_input2025","SILC_pro","SSCIindexed","article","english","indexproved","review_proved","transfer25"],"data_source":["EU-SILC-Bibliography"],"study_group":["European Union Statistics on Income and Living Conditions (EU-SILC)"],"group_description":[],"group_number":[],"group_link":[],"study_group_en":[],"group_description_en":[],"group_link_en":[],"group_image_file":[],"index_source":"Bibsonomy","literature_collection":"GESIS-Literaturpool","gesis_own":1,"related_research_data_search":[{"view":"EU Statistics on Income and Living Conditions","link":"?q=EU Statistics on Income and Living Conditions&type=research_data","link_reason":" EU-SILC<\/b> "}],"link_count":1},"system_type":"EXP","doc_rank":8,"rid":53666620},{"_index":"gesis-01-11-2026-01-05-43","_id":"gesis-ssoar-95572","_version":1,"_seq_no":74436,"_primary_term":1,"found":true,"_source":{"date":"2020","link_count":0,"coreJournalTitle":"Russian Journal of Economics","coreAuthor":["Hafner, Manfred","Raimondi, Pier Paolo"],"source":"In: Russian Journal of Economics, 6, 2020, 4, 374-389","title":"Priorities and challenges of the EU energy transition: From the European Green Package to the new Green Deal","type":"publication","coreZsnummer":"4","database":"SSOAR - Social Science Open Access Repository","subtype":"journal_article","portal_url":"https:\/\/www.ssoar.info\/ssoar\/handle\/document\/95572","fulltext":1,"links":[{"link":"https:\/\/doi.org\/10.32609\/j.ruje.6.55375","label":"DOI"}],"id":"gesis-ssoar-95572","metadata_quality":10,"document_type":"Zeitschriftenartikel","coreIssn":"2618-7213","person_sort":"HafnerRaimondi","coreSjahr":"2020","coreZsband":"6","coreLanguage":"en","abstract":"As decarbonization and climate policy are gaining relevance in the European Union (EU) energy policy, the present paper seeks to present both priorities and challenges for of the EU energy transition. As priorities, we outline the key targets and initiatives proposed and set by the European institutions in relation to the energy matters. The EU identifies renewable energy sources, energy efficiency and reduction of the greenhouse gas (GHG) as the three pillars to achieve its carbon neutrality. The final goal for to the EU energy and climate targets is to achieve climate neutrality by 2050. Nevertheless, since given energy policy is being a \"shared competence\" between the EU institutions and Member States, each Member State plays a critical role for the achievement of the EU energy transition. Different socioeconomic structures and the energy mix across Europe have caused the implementation process of each EU target to develop at a different pace among European countries. We illustrate this drawing on four countries: Italy, the UK, Germany and Poland. We assess their political commitment to the energy transition and their actions regarding energy transformation. These four countries are only an example of the different pace in the implementation of the EU energy and climate targets. The last part of the paper is devoted to the ambitious plan, called Green New Deal, launched by the present Commission President, Ursula von der Leyen. It sets key priorities, reaf-firming European commitments to the energy and climate transition. However, the plan faces significant obstacles. For example, division among Member States (North-South and West-East) might be a factor that could undermine the achievement of the European energy transition, due to multiple and divergent interests (also on the future role of the energy transition in the aftermath of COVID-19 and the resulting economic crisis). Another challenge is constituted by popular opposition, especially from those people that see the energy transition - and consequent economic and industrial transformation - as a potential threat to their well-being and jobs, as the French gilets jaunes show. Lastly, we explain that the European energy transition will impact also its external relations, for example with Russia, proposing how the two blocs can preserve their energy relationship in light of the energy transition, notably through the conversion of natural gas to hydrogen and storing\/using the resulting CO2.","data_source":"GESIS-SSOAR","related_references":[{"view":"Dias, P., Kanellopoulos, K., Medarac, H., Kapetaki, Z., Miranda-Barbosa, E., Shortall, R., Czako, V., Telsnig, T., Hernandez, C., Ar\u00e1ntegui, R. (2018). EU Coal Regions: Opportunities and Challenges Ahead. Joint Research Centre: Publications Office of the European Union.<\/a> ","pdf_url":""},{"view":"Casier, L. (2020). The EU's financing of a resilient recovery. IISD.","pdf_url":""},{"view":"C. D. P., . (2019). The energy transition in Italy and the role of the gas and power sectors. Cassa Depositi e Prestiti, Snam and Terna, in collaboration with The European House -Ambrosetti.","pdf_url":""},{"view":"E. C. 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Communication from the Commission on 'Europe 2020: A strategy for smart, sustainable andinclusive growth'\ufffd Luxembourg\ufffd European Commission (2011): Communication from the Commission to the Eu- ropean Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions on 'Supporting growth and jobs -an agenda for themodernisation of Europe's higher education systems'\ufffd Luxembourg\ufffd European Parliament (2000. Malden (Massachusetts: European Foundation for the Improvement of Living and Working Conditions, Office for Official Publications of the European Communities. Progress on the Implementation of the Joint Assessment Papers on Employment Policies in Candidate Countries, Brussels, COM 37 final. Commission of the European Communities (2003)b: Communication from the Commission to the Council, the European Parliament, the European Economic and Social Committee and the Committee of the Regions. 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The European dimension of Germany's energy transition, pp. 255-263.<\/a> ","pdf_url":""}],"person":["Hafner, Manfred","Raimondi, Pier Paolo"],"index_source":"GESIS-SSOAR","topic":["EU","Energiepolitik","Klimapolitik"],"date_recency":"2020","gesis_own":1,"doi":"https:\/\/doi.org\/10.32609\/j.ruje.6.55375"},"system_type":"BASE","doc_rank":9,"rid":53666620},{"_index":"gesis-01-11-2026-01-05-43","_id":"gesis-ssoar-87868","_version":1,"_seq_no":74693,"_primary_term":1,"found":true,"_source":{"date":"2022","study":["EU-SILC 2010","EU-SILC 2011","EU-SILC 2012","EU-SILC 2013","EU-SILC 2014"],"study_group":["European Union Statistics on Income and Living Conditions (EU-SILC)"],"link_count":0,"coreJournalTitle":"Frontiers in Public Health","coreAuthor":["Gavurova, Beata","Megyesiova, Silvia"],"language":["english"],"source":"In: Frontiers in Public Health, 10, 2022, 1-12","title":"Sustainable Health and Wellbeing in the European Union","type":"publication","database":"SSOAR - Social Science Open Access Repository","subtype":"journal_article","portal_url":"https:\/\/www.ssoar.info\/ssoar\/handle\/document\/87868","fulltext":1,"links":[{"link":"http:\/\/nbn-resolving.de\/urn:nbn:de:0168-ssoar-87868-5","label":"URN"},{"link":"https:\/\/doi.org\/10.3389\/fpubh.2022.851061","label":"DOI"}],"id":"gesis-ssoar-87868","metadata_quality":10,"document_type":"Zeitschriftenartikel","coreIssn":"2296-2565","person_sort":"GavurovaMegyesiova","coreSjahr":"2022","coreZsband":"10","coreLanguage":"en","abstract":"Background: Altogether, 17 Sustainable Development Goals (SDGs) are an urgent call for action to end poverty, protect the planet, and ensure prosperity for all. Goal 3 is crucial in terms of good health and wellbeing. The main aim of this study is to analyze and evaluate differences among indicators of SDG 3: Sustainable health and wellbeing in the EU countries. Methods: The status and development of the EU Member States regarding their successes or failures in terms of Goal 3 were subjected to analysis. Altogether, 11 indicators were used to rank the EU countries using the TOPSIS and ranking methods. The ranks were assigned to the countries in two periods. The first period is related to the time from 2010 till 2014, and the second period from 2015 till 2019. Results: The EU countries achieved a positive development in 10 of 11 indicators that monitor the achievement of the EU in terms of Goal 3. The only variable that changed negatively was the obesity rate. Positivity was observed in the decline of the standardized preventable and treatable mortality, which declined from 317.3 in the first period to 295 in the second period; the drop of the population weighted annual mean concentration of fine particulate PM2.5, from 16.4 to 13.6 \u03bcg\/m3, and also in the increase of the share of people with good or very good perceived health, which was combined with a decrease of the self-reported unmet need for medical examination and care. The best-rated country in terms of SDG 3 was, in both periods, Sweden, while the worst-rated was Latvia. Conclusions: Governments and institutions in the EU can intervene to increase the accessibility and quality of the health care system, but every citizen should try to do their best to reduce some of the risk factors, such as smoking or obesity, to try living healthier and to help to achieve higher ambitions in terms of sustainable health and wellbeing.","data_source":["GESIS-SSOAR","EU-SILC-Bibliography"],"institutions":["FDB"],"urn":"urn:nbn:de:0168-ssoar-87868-5","issn":["22962565"],"related_references":[{"view":"G. B. D., Allen, K., Bhutta, Z. A., . (2016). Measuring the health-related Sustainable Development Goals in 188 countries: a baseline analysis from the Global Burden of Disease Study 2015. 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