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Good Practices on Air Quality, Pollution and Health Impact at EU Level

Author

Listed:
  • Daniela-Ioana Manea

    (The Bucharest University of Economic Studies, Romania)

  • Emilia Titan

    (The Bucharest University of Economic Studies, Romania)

  • Mihaela Mihai

    (The Bucharest University of Economic Studies, Romania)

  • Simona-Andreea Apostu

    (The Bucharest University of Economic Studies, Romania)

  • Valentina Vasile

    (Institute of National Economy, Bucharest, Romania)

Abstract

The EU's environmental policies and strategies have been developed since the 1970s and underline that the sustainable economic development and well-being of the European Union countries are based on their natural environment. They are aimed at national and global air quality regulations that support the improvement of the air quality and the health of the population. The principal objective of this paper is to highlight the importance of the varied and complex action of the polluting environment on the organism. A convergent objective is the development of pollution management solutions and highlighting good practices for combating and reducing pollution and improving air quality. In this regard, the results of the analysis presented in the paper indicate that a healthier environment can prevent diseases caused by polluted air and decrease the number of deaths caused by respiratory and cardiovascular diseases. This statement represents the main result obtained by applying the methods of multidimensional data analysis (factorial analysis, principal component analysis, cluster analysis) to evaluate the complexity of contemporary environmental and health challenges. On the other hand, the use of tools and examples of the good practices for implementing strategies to improve environmental factors, especially air quality, are particularly useful in creating specific policies that lead to improving the quality of the environment and, implicitly, the health of the population.

Suggested Citation

  • Daniela-Ioana Manea & Emilia Titan & Mihaela Mihai & Simona-Andreea Apostu & Valentina Vasile, 2020. "Good Practices on Air Quality, Pollution and Health Impact at EU Level," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(53), pages 256-256, February.
  • Handle: RePEc:aes:amfeco:v:22:y:2020:i:53:p:256
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    References listed on IDEAS

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    1. Rolf Meyer, 2017. "Bioeconomy Strategies: Contexts, Visions, Guiding Implementation Principles and Resulting Debates," Sustainability, MDPI, vol. 9(6), pages 1-32, June.
    2. José M. Cansino & Antonio Sánchez-Braza & Teresa Sanz-Díaz, 2018. "Policy Instruments to Promote Electro-Mobility in the EU28: A Comprehensive Review," Sustainability, MDPI, vol. 10(7), pages 1-27, July.
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    Cited by:

    1. Tomiwa Sunday Adebayo & Abraham Ayobamiji Awosusi & Husam Rjoub & Mirela Panait & Catalin Popescu, 2021. "Asymmetric Impact of International Trade on Consumption-Based Carbon Emissions in MINT Nations," Energies, MDPI, vol. 14(20), pages 1-19, October.
    2. Mirela Clementina Panait & Marian Catalin Voica & Eglantina Hysa & Alfonso Siano & Maria Palazzo, 2022. "The Bucharest Stock Exchange: A Starting Point in Structuring a Valuable CSR Index," JRFM, MDPI, vol. 15(2), pages 1-14, February.
    3. Panait, Mirela & Apostu, Simona Andreea & Vasile, Valentina & Vasile, Razvan, 2022. "Is energy efficiency a robust driver for the new normal development model? A Granger causality analysis," Energy Policy, Elsevier, vol. 169(C).

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    More about this item

    Keywords

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    JEL classification:

    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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