Regional diversity of the environmental quality of life in Poland

• Autorzy: Bąk Iwona

Identyfikatory

DOI

10.29119/1641-3466.2023.168.5

• Języki publikacji: EN

Abstrakty

EN

Purpose: The paper aims to assess the variation in the environmental quality of life in Poland's voivodships in 2021. The study uses indicators to monitor the links between the natural environment and society. They indicate how environmental conditions affect the quality of life and well-being of the population. Design/methodology/approach: The study used one of the taxonomic methods - the TOPSIS method, based on which the voivodships were divided into four classes characterised by similar levels of environmental quality of life. Findings: The study results showed that Podkarpackie, Lubuskie, Małopolskie and Warmińsko-Mazurskie voivodships, characterised by high natural values and relatively low environmental impact ratios compared to other voivodships and the national average, were in the best group due to the environmental quality of life. The last places belonged to the Pomorskie, Opolskie, Łódzkie and Śląskie Voivodships. Most of them are industrial, which means that the indicators of environmental impact, especially air pollution and collected waste, are relatively high and exceed the national average. Social implications: The research results presented in the article may be useful for the diagnosis of current results and the revision of the environmental policy of the entire country as well as their individual regions in the future. Originality/value: The article fits into contemporary debates on the effectiveness of implementing the concept of green economy as a tool for sustainable development.

Słowa kluczowe

EN

environmental quality of life; sustainable development; green economy; TOPSIS method

PL

środowiskowa jakość życia; zrównoważony rozwój; zielona gospodarka; metoda TOPSIS

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Tom: z. 168
• Strony: 81--93
• Opis fizyczny: Bibliogr. 36 poz.

Twórcy

autor

Bąk Iwona

• Department of Applied Mathematics in Economics, Faculty of Economics, West Pomeranian University of Technology

• https://orcid.org/0000-0001-8959-7269

Bibliografia

• 1. Adamowicz, M. (2022). A Green Concept of Economic Growth and Development. Economic and Regional Studies, 15(2), pp. 158-180.
• 2. Bąk, I., Cheba, K. (2020). Zielona gospodarka jako narzędzie zrównoważonego rozwoju. Warszawa: CeDeWu.
• 3. Bąk, I., Cheba, K. (eds.) (2022). Green Energy. Meta-analysis of the Research Results. Spiringer.
• 4. Balestra, C., Dottori, D. (2011). Aging society, health and the environment. Journal of Population Economics, Springer; European Society for Population Economics, 25(3), 1045-1076, DOI: 10.1007/s00148-011-0380-x.
• 5. Baran, B. (2018). Globalizacja a środowiskowe uwarunkowania jakości życia. Współczesne problemy Ekonomiczne, 1(16), pp. 7-15.
• 6. Carayannis, E.G., Barth, T.D., Campbell, D.F. (2012). The Quintuple Helix innovation model: global warming as a challenge and driver for innovation. Journal of Innovation and Entrepreneurship, 1, pp. 1-12. doi: https://doi.org/10.1186/2192-5372-1-2.
• 7. Chang, K.K.P., Wong, F.K.Y., Chan, K.L., Wong, F., Ho, H.C., Wong, M.S., Ho, Y.S., Yuen, J.W.M., Siu, J.Y., Yang, L. (2020). The Impact of the Environment on the Quality of Life and the Mediating Effects of Sleep and Stress. Int. J. Environ. Res. Public. Health, 17(22), 8529. doi: 10.3390/ijerph17228529.
• 8. Dadvand, P., Bartoll, X., Basagana, X., Dalmau-Bueno, A., Martinez, D., Ambros, A., Cirach, M., Triguero-Mas, M., Gascon, M., Borrell, C., Nieuwenhuijsen, M.J. (2016). Green spaces and General Health: Roles of mental health status, social support, and physical activity. Environ. Int., 91, pp. 161-167. doi: https://doi.org/10.1016/j.envint.2016.02.029.
• 9. Daniek, K. (2020). Green economy indicators as a method of monitoring development in the economic, social and environmental dimensions. Social Inequalities and Economic Growth, 62(2), pp. 150-173. doi: 10.15584/nsawg.2020.2.10.
• 10. De Sousa, C.A. (2006). Unearthing the benefits of brownfield to green space projects: An examination of project use and quality of life impacts. Local Environ., 11, pp. 577-600. doi: https://doi.org/10.1080/13549830600853510.
• 11. Dmytrów, K. (2018). Comparison of Several Linear Ordering Methods for Selection of Locations in Order picking by Means of the Simulation Methods. Acta Univ. Lodziensis Folia Oecon., 5, pp. 81-96. https://doi.org/10.18778/0208-6018.338.05.
• 12. Galik, A., Bąk, M., Bałandynowicz-Panfil, K., Cirella, G.T. (2022). Evaluating Labour Market Flexibility Using the TOPSIS Method: Sustainable Industrial Relations. Sustainability, 14, 526. doi: https://doi.org/10.3390/su14010526.
• 13. Genc, S., Zadeoglulari, Z., Fuss, S.H., Genc, K. (2012). The adverse effects of air pollution on the nervous system. Journal of toxicology. doi: https://doi.org/10.1155/2012/782462.
• 14. Hall, D.O., Mynick, H.E., Williams, R.H. (1991). Cooling the greenhouse with bioenergy. Nature, 353, pp. 11-2.
• 15. Han, B. (2020). Associations between perceived environmental pollution and health-related quality of life in a Chinese adult population. Health and Quality of Life Outcomes, 18(198). doi: https://doi.org/10.1186/s12955-020-01442-9.
• 16. Howard, G.S. (2000). Adapting human lifestyles for the 21st Century. American Psychologist, 55, pp. 509-515.
• 17. Jusoff, M.M. (2020). Improving the quality of life for sustainable development. IOP Conf. Series: Earth and Environmental Science, 561, 012020. doi: 10.1088/1755- 1315/561/1/012020.
• 18. Keles, R. (2012). The Quality of Life and the Environment. Procedia - Social and Behavioral Sciences, 35, pp. 23-32. doi: https://doi.org/10.1016/j.sbspro.2012.02.059.
• 19. Kryk, B. (2015). Środowiskowe uwarunkowania jakości życia w województwie zachodniopomorskim na tle Polski. Ekonomia i Środowisko, 3(54), pp. 170-181.
• 20. Kumar, A.K., Bhattacharya, T., Hasnain, S.M.M., Nayak, A.K. (2020) Applications of biomass-derived materials for energy production, conversion, and storage. Materials Science for Energy Technologies, 3, pp. 905-920. doi: https://doi.org/10.1016/j.mset.2020.10.012.
• 21. Kusterka-Jefmańska, M. (2010). Wysoka jakość życia jako cel nadrzędny lokalnych strategii zrównoważonego rozwoju. Zeszyty Naukowe Instytutu Spraw Publicznych Uniwersytetu Jagiellońskiego seria: Zarządzanie Publiczne, 4(12), pp. 115-123.
• 22. Łącka, I. (2023). The Role of Green Energy in the Economic Growth of the World. In.: I. Bąk, K. Cheba (eds.), Green Energy. Meta-analysis of the Research Results (pp. 41-57). Spiringer.
• 23. Malinowski, M., Wasiuta, A. (2021). Stan środowiska a poziom życia ludności w Polsce. Poznań: Wydawnictwo Uniwersytetu Przyrodniczego w Poznaniu.
• 24. Osbaldiston, R., Sheldon, K.M. (2003). Promoting internalized motivation for environmentally responsible behavior: A prospective study of environmental goals. Journal of Environmental Psychology, 23(4), pp. 349-357. doi: https://doi.org/10.1016/S0272-4944(03)00035-5.
• 25. Parida, P., Sahoo, S. (2013). Multiple Atribute Decision Making Approach by TOPSIS technique. International Journal of Engineering Research & Technology, 2(11), pp. 907- 912. doi: 10.17577/IJERTV2IS110272.
• 26. Pirozzi, C.S., Mendoza, D.L., Yizhe, X., Yue, Z., Scholand, M.B., Baughman, R.P. (2018). Short-Term Particulate Air Pollution Exposure is Associated with Increased Severity of Respiratory and Quality of Life Symptoms in Patients with Fibrotic Sarcoidosis. International Journal of Environmental Research and Public Health, 15, 1077. doi: https://doi.org/10.3390/ijerph15061077.
• 27. Roberts, J.D., Voss, J.D., Knight, B. (2014). The Association of Ambient Air Pollution and Physical Inactivity in the United States. PLoS ONE, 9(3), e90143. doi: https://doi.org/10.1371/journal.pone.0090143.
• 28. Roszkowska, E. (2019). Multi-criteria decision making models by applying the Topsis method to crisp and interval data. Multiple Criteria Decision Making, 6, pp. 200-230.
• 29. Ryńska, E. (2011). Zapewnienie jakości życia w przestrzeni zurbanizowanej. Problemy Rozwoju Miast, 3-4, pp. 55-64.
• 30. Ryszawska, B. (2013). Koncepcja zielonej gospodarki jako odpowiedź na kryzys gospodarczy i środowiskowy. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 318, pp. 47-56. doi: 10.15611/pn.2013.318.04.
• 31. Streimikiene, D. (2015). Environmental indicators for the assessment of quality of life. Intellectual Economics, 9(1), pp. 67-79. doi: https://doi.org/10.1016/j.intele.2015.10.001.
• 32. Van Den Berg, M., van Poppel, M., van Kamp, I., Andrusaityte, S., Balseviciene, B., Cirach, M.; Danileviciute, A., Ellis, N., Hurst, G., Masterson, D., Smith, G. Triguero-Mas, M., Uzdanaviciute, I., de Wit P., van Mechelen, W., Gidlow, Ch., Grazuleviciene, R., Nieuwenhuijsen, M.J., Kruize, H., Maas, J. (2016). Visiting green space is associated with mental health and vitality: A cross-sectional study in four European cities. Health Place, 38, pp. 8-15. doi: 10.1016/j.healthplace.2016.01.003.
• 33. Van Dillen, S., De Vries, S., Groenewegen, P., Spreeuwenberyg, P. (2012). Greenspace in urban neighbourhoods and residents’ health: Adding quality to quantity. J. Epidemiol. Community, 66(6), e8. doi: 10.1136/jech.2009.104695.
• 34. Winter, D.D. (2000). Some big ideas for some big problems. American Psychologist, 55, pp. 516-522.
• 35. Yoon, K., Kim, W. (2017). The behavioral TOPSIS. Expert Systems with Applications, 89, pp. 266-272. doi: https://doi.org/10.1016/j.eswa.2017.07.045.
• 36. Zulqarnain, R.M., Saeed, M., Ahmad, N., Dayan, F., Ahmad, B. (2020). Application of TOPSIS Method for Decision Making. Int. J. Sci. Res. Math. Stat. Sci., 7, pp. 76-81.