ANALYSIS OF ENVIRONMENTAL SUSTAINABILITY OF EUROPEAN UNION MEMBER STATES BASED ON THEIR KEY MACRO-LEVEL ENVIRONMENTAL INDICATORS
Jovana Milenović & Ljiljana Bonić
What the paper says
Awareness of the environmental dimension of sustainable development has increased globally since the late twentieth century, with an emphasis on the integration of three pillars: economic prosperity, environmental quality, and social justice. In this context, environmental sustainability has gained considerable prominence, particularly in response to the growing demand for transparency regarding environmental sustainability-related information. This paper aims to analyse sustainability reporting practices concerning macro-level environmental indicators within European Union (EU) Member States, with the objective of assessing environmental sustainability at the macroeconomic level. The study utilises nine selected indicators from the Eurostat database, covering the period from 2021 to 2023. A cluster analysis was initially conducted to categorise EU Member States into two groups based on their environmental sustainability performance in 2021: the 'green' cluster (environmentally responsible countries) and the 'red' cluster (less environmentally responsible countries). This classification facilitated further analysis across the 2021–2023 period, including: the application of a T-test to examine differences in macro-level environmental indicators between countries in the 'green' and 'red' clusters; and b) the construction of a dependent variable for the purposes of logistic regression analysis. The logistic regression model was employed to evaluate the likelihood that specific macro-level environmental indicators influence the classification of a country into either the 'green' or 'red' cluster during the observed period. The findings suggest that increases in gas emissions, electricity production by fuel and operator, and inadequate waste treatment decrease the probability of an EU Member State being classified within the 'green' cluster, while simultaneously increasing the likelihood of classification within the 'red' cluster.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.