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Spatial differentiation of the level of ecological development of polish voivodeship

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of the research is the evaluation of the ecological state of development based on statistical data from voivodeships in Poland. Design/methodology/approach: The research uses selected methods of multivariate comparative analysis, in particular, linear ordering. The analysis of the differentiation of the level of ecological development by voivodeships in Poland made it possible to order the provinces according to the indicators that represent the state of the environmental situation. After the process of ordering, the process of grouping voivodeships was possible. The relevant calculations were made using QGIS and Statistica software. Findings: The result of the analysis presents a tree main cluster with similar voivodeships according to ecological situation. Practical implications: The presented methods enable continuous monitoring and control of progress in the implementation of the assumed ecological goals. Green development assessment methods can also help monitor progress towards the Sustainable Development Goals over time. This can help identify trends and patterns and provide feedback on the effectiveness of policies and programs. The results of the analyses may be a useful tool for monitoring and evaluating Poland's progress in achieving the assumed ecological goals of the European Union by 2030. Originality/value: These studies are a very useful tool in identifying the ecological situation and directing administrative activities to the appropriate regions in the country.
Rocznik
Tom
Strony
77--88
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
autor
  • Silesian University of Technology
  • Silesian University of Technology
  • Silesian University of Technology
  • Institute for Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia
autor
  • Institute for Advanced and Smart Digital Opportunities, School of Computing, Universiti Utara Malaysia
Bibliografia
  • 1. Bluszcz, A., Manowska, A. (2021). The use of hierarchical agglomeration methods in assessing the Polish energy market. Energies, 14, 13, 3958, 1-18, doi:10.3390/en14133958.
  • 2. Bluszcz, A., Tobór-Osadnik, K., Tomiczek, K., Mansor, S., Awang, H. (2023). The use of geomatics tools in critical infrastructure management. Journal of the Polish Mineral Engineering Society, 1, 169-174. http://doi.org/10.29227/IM-2023-01-21
  • 3. Bluszcz, A. (2017). European Economies in terms of energy dependence. Qual. Quan., 51, pp. 1531-1548, doi:1007/s11135-016-0350-1.
  • 4. Bluszcz, A. (2018). Conditions for maintaining the sustainable development level of EU member states. Social Indicators Research, Vol. 139, 2, pp. 679-693. doi:10.1007/s11205-017-1746-6
  • 5. Brodny, J., Tutak, M. (2020). Analyzing Similarities between the European Union Countries in Terms of the Structure and Volume of Energy Production from Renewable Energy Sources. Energies, 13, 913.
  • 6. Burchart-Korol, D., Krawczyk, P., Czaplicka-Kolarz, K., Turek, M., Borkowski, W. (2014). Development of sustainability assessment method of coal mines. Journal of Sustainable Mining, 13(4), 5-11. DOI: 10.7424/jsm140402
  • 7. Gajdzik, B. (2012). Comprehensive classification of environmental aspects in a manufacturing enterprise. Metalurgija, 51(4), 541-544.
  • 8. Jonek-Kowalska, I. (2022). Towards the reduction of CO2 emissions. Paths of pro-ecological transformation of energy mixes in European countries with an above-average share of coal in energy consumption. Resources Policy, Vol. 77, 102701, pp. 1-15, doi:10.1016/j.resourpol.2022.102701
  • 9. Kijewska, A., Bluszcz, A. (2016). Research of varying levels of greenhouse gas emissions in European countries using the k-means method. Atmospheric Pollution Research, vol. 7, iss. 5, pp. 935-944. doi:10.1016/j.apr.2016.05.010.
  • 10. Manowska, A, Nowrot, A. (2019). The importance of heat emission caused by global energy production in terms of climate impact. Energies, 12, 16, pp.1-12. doi:10.3390/en12163069
  • 11. Manowska, A., Tobór-Osadnik, K., Wyganowska, M. (2017). Economic and social aspects of restructuring Polish coal mining: Focusing on Poland and the EU. Resour. Policy, 52, 192–200.
  • 12. Mansor, N.S., Shafri, H.Z.M., Mansor, S. (2019). A GIS based method for assessing the association between urban development and crime pattern in Sungai Petani, Kedah Malaysia. International Journal of Recent Technology and Engineering, 8(2). https://doi.org/10.35940/ijrte.B3177.078219
  • 13. Mirski, A. (2017). Innowacje w zarządzaniu i inżynierii produkcji. Oficyna Wydawnicza Polskie Towarzystwo Zarządzania Produkcją, T. 1-2.
  • 14. Nur Suhaili Mansor, Helmi Zulhaidi Mohd Shafri, Shattri Mansor, Biswajeet Paradhan (2014). The influence of urban development and social mobility on socioeconomic level: The application of GIS on urban ecosystems. IOP Conf. Series: Earth and Environmental Science, 20 ,012011 doi:10.1088/1755-1315/20/1/012011
  • 15. Ranosz, R., Bluszcz, A., Kowal, D. (2020). Conditions for the innovation activities of energy sector enterprises shown on the example of mining companies. Journal of the Polish Mineral Engineering Society, 21, 1, 249-256, DOI:10.29227/IM-2020-01-82
  • 16. Strahl, D. (1984). Metody ekonometryczne w programowaniu rozwoju przemysłu. Skrypty Akademii Ekonomicznej Oskara Langego. Wrocław.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6fdc1afc-90bf-4fd7-8a67-d7b6d671510e
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