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Progress towards the 2030 Sustainable Development Goals for EU Urban Communities (SDG11)

Author

Listed:
  • George H. Ionescu

    (Department of Finance, Credit and Accounting, Romanian-American University, 012101 Bucharest, Romania)

  • Daniela Firoiu

    (Department of Commerce, Economic Integration and Business Administration, Romanian-American University, 012101 Bucharest, Romania)

  • Andra-Maria Manda

    (Department of Economics, Accounting and International Affairs, University of Craiova, 200585 Craiova, Romania)

  • Ramona Pîrvu

    (Department of Economics, Accounting and International Affairs, University of Craiova, 200585 Craiova, Romania)

  • Elena Jianu

    (Department of Management and Business Administration, University of Pitesti, 110040 Pitesti, Romania)

  • Maria-Eliza Antoniu

    (Department of Management and Business Administration, University of Pitesti, 110040 Pitesti, Romania)

Abstract

The 2030 Agenda for sustainable development emphasizes the interconnectedness of environmental issues with socio-economic development, recognizing their fundamental role in human prosperity, while the sustainable development goals (SDGs) serve as a pivotal framework globally. This study provides a critical assessment of the progress made by EU Member States in pursuing the SDG 11 (sustainable cities and communities) targets as set out in the 2030 Agenda. The analysis is based on official data published by the EU Statistical Office—Eurostat—and uses the AAA (Holt-Winters) exponential smoothing algorithm for the trend analysis of specific indicators. The results show significant progress during the first seven years of implementation of the Agenda 2023, while indicating concerns about the achievement of the 2030 targets in some Member States. The mapping of potentially negative trends emphasizes the need for firm corrective actions, underlining the urgency of early interventions to address expected negative developments before they have potentially irreversible consequences.

Suggested Citation

  • George H. Ionescu & Daniela Firoiu & Andra-Maria Manda & Ramona Pîrvu & Elena Jianu & Maria-Eliza Antoniu, 2024. "Progress towards the 2030 Sustainable Development Goals for EU Urban Communities (SDG11)," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4513-:d:1402301
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    References listed on IDEAS

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    1. Gustafsson, Björn Anders & Österberg, Torun, 2023. "In and Out of Privileged and Disadvantaged Neighborhoods in Sweden – On the Importance of Country of Birth," IZA Discussion Papers 16044, Institute of Labor Economics (IZA).
    2. Denis Michalina & Peter Mederly & Hans Diefenbacher & Benjamin Held, 2021. "Sustainable Urban Development: A Review of Urban Sustainability Indicator Frameworks," Sustainability, MDPI, vol. 13(16), pages 1-20, August.
    3. Mathias Basner & Sarah McGuire, 2018. "WHO Environmental Noise Guidelines for the European Region: A Systematic Review on Environmental Noise and Effects on Sleep," IJERPH, MDPI, vol. 15(3), pages 1-45, March.
    4. Spyros Makridakis & Evangelos Spiliotis & Vassilios Assimakopoulos, 2018. "Statistical and Machine Learning forecasting methods: Concerns and ways forward," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-26, March.
    5. Stefanie Dreger & Steffen Andreas Schüle & Lisa Karla Hilz & Gabriele Bolte, 2019. "Social Inequalities in Environmental Noise Exposure: A Review of Evidence in the WHO European Region," IJERPH, MDPI, vol. 16(6), pages 1-15, March.
    6. Adam Tyrcha, 2020. "Migration and perceptions of housing availability in Sweden," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 945-975, August.
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