2023
DOI: 10.1002/sd.2545
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Implementation of sustainable development goal 8 in European Union countries–A measurement concept and a multivariate comparative analysis

Abstract: The study attempts to determine a synthetic measure of the level of implementation of Sustainable Development Goal 8 related to promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all and conducts a multivariate comparative analysis of EU countries in terms of its implementation. The statistical database contained all 9 variables characterising this goal, collected for 27 EU countries in the period from 2015 to 2020. The research

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Cited by 7 publications
(7 citation statements)
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“…The deliberations contained in the article are only a fragment of a broad spectrum of issues forming the collective sustainable development of the EU [98][99][100][101][102][103][104][105][106][107][108][109]. However, the conclusions drawn from the paper may help to improve policy-making in the EU and increase the territorial cohesion of the EU in the area of both sustainable energy development and sustainable economic development.…”
Section: Discussionmentioning
confidence: 99%
“…The deliberations contained in the article are only a fragment of a broad spectrum of issues forming the collective sustainable development of the EU [98][99][100][101][102][103][104][105][106][107][108][109]. However, the conclusions drawn from the paper may help to improve policy-making in the EU and increase the territorial cohesion of the EU in the area of both sustainable energy development and sustainable economic development.…”
Section: Discussionmentioning
confidence: 99%
“…A set of output variables should meet specific criteria associated with an adequate level of diversity and correlation. In evaluating the level of variability, a classical coefficient of variation was adopted, expressed by the following formula (Grzebyk et al, 2023):…”
Section: Methodsmentioning
confidence: 99%
“…A set of output variables should meet specific criteria associated with an adequate level of diversity and correlation. In evaluating the level of variability, a classical coefficient of variation was adopted, expressed by the following formula (Grzebyk et al, 2023): vjgoodbreak=Sjtruex¯j0.25em()jgoodbreak=1,2,m where: v j , coefficient of variation; S j , SD of the x j feature; x j , arithmetic mean of the x j feature.…”
Section: Methodsmentioning
confidence: 99%
“…Unlike previous studies that evaluated national performance [82], our analysis represents a more granular approach, identifying specific areas of underperformance within countries and empowering policymakers to incentivize the adoption of relevant and effective policies. Furthermore, our study represents an overview of all 17 SDGs, rather than being restricted to industry-specific goals, as observed in earlier literature [16,17,83,84]. There is room for improvement in the pursuit of all goals for the 2030 Agenda, as even the goals with the highest adoption rate do not reach 70% of the application within this sample.…”
mentioning
confidence: 92%
“…The most recent literature (2021-2023) comprises various topics such as sustainability during the COVID-19 pandemic and how this affected the pursuit of the SDGs [14,15]; the analysis of a limited number of SDGs in and outside the European Union [16,17]; and the sustainability-related impacts of specific industries [18]. Our article responds to the call [19] for research to clarify the responsibilities of large multinationals in the domain of energy transition, decarbonization, and environmental protection, as well as in the social realm, in areas such as gender equality and education.…”
Section: Introductionmentioning
confidence: 99%