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In our days' countries pursue not just to have higher or maintain economic growth, but society faces another challenge – to combat climate change: to slower increase of global temperature by decreasing amount of green gas emission. Globalization processes have increased green gas emission. The problem of climate change becomes an overall problem of all countries, as green gas emissions produced by any country has an overall impact on environment of the earth. Public administration and public policies face the problem how to combat climate change not constraining the economy too much. The purpose of the paper is to evaluate the extent to which EU countries are affected to climate change according economic and social factors of countries that can be seen as drivers of green gas emissions. The study relates green gas emission intensity to the extent to which the country is possible to be exploded to climate change according to its data on industry, energy, waste, and agriculture of EU countries. TOPSIS method is used to rank EU countries in combating climate change. The conceptual approach to ranking climate change through the prism of countries economic activities is developed. There are some research limitations – statistical data on the industry, energy, waste, agriculture is limited in order to fulfil the tasks of the research.
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Tom
Strony
80--88
Opis fizyczny
Bibliogr. 35 poz., fig., tab.
Twórcy
autor
- Vilnius Gediminas technical university; Vilnius; Lithuania
autor
- Vilnius Gediminas technical university; Vilnius; Lithuania
Bibliografia
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- [4] Aldy, J. E., & Pizer, W. A. (2016). Alternative metrics for comparing domestic climate change mitigation efforts and the emerging international climate policy architecture. Review of Environmental Economics and Policy, 10(1), 3–24. https://doi.org/10.1093/reep/rev013.
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- [7] Bie, W., Gradziuk, P., Golonko, M., Gołasa, P., Wysoki, M., Gradziuk, B., Siedlecka, A., & Gromada, A. (2021). Sources of Greenhouse Gas Emissions in Agriculture , with Particular Emphasis on Emissions from Energy Used. 1–20.
- [8] Bilgili, F., Koçak, E., & Bulut, Ü. (2016). The dynamic impact of renewable energy consumption on CO2 emissions: A revisited Environmental Kuznets Curve approach. Renewable and Sustainable Energy Reviews, 54, 838–845. https://doi.org/10.1016/j.rser.2015.10.080.
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- [20] Huang, J., Jiang, N., Chen, J., Balezentis, T., & Streimikiene, D. (2021). Multi-criteria group decision-making method for green supplier selection based on distributed interval variables. Economic Research-Ekonomska Istraživanja, 1-16.
- [21] Jurevičienė, D., Skvarciany, V., & Lagunavičiūtė, A. (2020). Factors influencing individuals’ decision-making and causing financial crisis. Journal of Business Economics and Management, 21(4), 1149-1164. https://doi.org/10.3846/jbem.2020.12890.
- [22] Liao, H. C., Ren, R. X., Antucheviciene, J., Šaparauskas, J., & Al-Barakati, A. (2020). Sustainable Construction Supplier Selection by a Multiple Criteria Decision-making Method with Hesitant Linguistic Information. E&M Economics and Management, 23(4), 119–136. https://doi.org/ 10.15240/tul/001/2020-4-008.
- [23] Liu, Y., Gao, C., & Lu, Y. (2017). The impact of urbanization on GHG emissions in China: The role of population density. Journal of Cleaner Production, 157, 299–309. https://doi.org/10.1016/j.jclepro.2017.04.138.
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- [31] Sikora, A. (2020). European Green Deal – legal and financial challenges of the climate change. ERA Forum, 681–697. https://doi.org/10.1007/s12027-020-00637-3.
- [32] Skica, T., Rodzinka, J., & Zaremba, U. (2020). The application of a synthetic measure in the assessment of the financial condition of LGUs in Poland using the TOPSIS method approach. Economics and Sociology, 13(4), 297-317. doi:10.14254/2071-789X.2020/13-4/19.
- [33] Squalli, J. (2017). Renewable energy, coal as a baseload power source, and greenhouse gas emissions: Evidence from U.S. state-level data. Energy, 127, 479–488. https://doi.org/10.1016/j.energy.2017.03.156.
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- [35] Waheed, R., Chang, D., Sarwar, S., & Chen, W. (2018). Forest, agriculture, renewable energy, and CO2 emission. Journal of Cleaner Production, 172, 4231–4238. https://doi.org/10.1016/j.jclepro.2017.10.287.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-488368bf-4ca4-4f55-84f8-709dedeb72be