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Barriers and Driving Factors for Sustainable Development of CO2 Valorisation

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 22 Apr 2022Publisher:MDPI AGJournal:Sustainability, volume 14, page 5,054 (eissn: 2071-1050,

Authors: Viktorija Terjanika; Jelena Pubule;

doi: 10.3390/su14095054

Barriers and Driving Factors for Sustainable Development of CO2 Valorisation

- Summary
- Subjects
- Metrics

Abstract

Mitigating CO2 emissions has become a top question in international and national arenas, likewise on the city level. To initiate and maintain transformative policies related to climate neutrality, an evident-based multi-sectoral forecasting model needs to be timely and effectively deployed. Decarbonisation solutions should be considered from the economic, environmental, and social perspectives. The resulting complexity constitutes an essential barrier to implementing CO2 valorisation projects. This study aims to analyse barriers and driving factors for the sustainable development of CO2 valorisation options. In order to reach the research goal, a methodological approach based on the combination of strengths, weaknesses, opportunities, and threats analysis, Geographical Information System and Fuzzy Logic Cognitive Analysis method was used. The method has been applied to a case study in Latvia

Related Organizations

"RIGAS TEHNISKA UNIVERSITATE
Latvia
Riga Technical University
Latvia

Keywords

Environmental effects of industries and plants, TJ807-830, SWOT, TD194-195, Renewable energy sources, Environmental sciences, GE1-350, CO<sub>2</sub> technologies; SWOT; FLCA; ArcGis, CO<sub>2</sub> technologies, ArcGis, FLCA

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	5
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%