Bioeconomy Towards Green Deal. Case Study of Citric Acid Production through Fuzzy Cognitive Maps
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References
- [1] Heimann T. Bioeconomy and SDGs: Does the Bioeconomy Support the Achievement of the SDGs? Earth’s Future 2019:7:43–57. https://doi.org/10.1029/2018EF00101410.1029/2018EF001014
- [2] Muizniece I., Kubule A., Blumberga D. Towards understanding the transdisciplinary approach of the bioeconomy nexus. Energy Procedia 2018:147:175–180. https://doi.org/10.1016/j.egypro.2018.07.05210.1016/j.egypro.2018.07.052
- [3] European Commission. A Roadmap for Moving to a Competitive Low Carbon Economy in 2050, COM (2011) 112 final. Brussels: EC, 2011.
- [4] UNEP. Towards a Green Economy: Pathways to Sustainable Development and Poverty Eradication. UNEP, 2011
- [5] Bloomfield J., Steward F. The Politics of the Green New Deal. The Political Quarterly 2020:91(4):770–779. https://doi.org/10.1111/1467-923X.1291710.1111/1467-923X.12917
- [6] Linnér B. O., Wibeck V. Conceptualising variations in societal transformations towards sustainability. Environmental Science and Policy 2020:106:221–227. https://doi.org/10.1016/j.envsci.2020.01.00710.1016/j.envsci.2020.01.007
- [7] Vamza I., et al. Bioresource utilization index – A way to quantify and compare resource efficiency in production. Journal of Cleaner Production 2021:320:128791. https://doi.org/10.1016/j.jclepro.2021.12879110.1016/j.jclepro.2021.128791
- [8] Ruse A., Pubule J. The Boundaries of Scientific Innovation in the EU Green Deal Context. Environmental and Climate Technologies 2022:26(1):115–128. https://doi.org/10.2478/rtuect-2022-001010.2478/rtuect-2022-0010
- [9] Blumberga A., et al. Modelling the Baltic power system till 2050. Energy Conversion and Management 2016:107:67–75. https://doi.org/10.1016/j.enconman.2015.09.00510.1016/j.enconman.2015.09.005
- [10] Gray S., et al. Mental modeler: A fuzzy-logic cognitive mapping modeling tool for adaptive environmental management. Proceedings of the 46th International Conference on Complex Systems 2013:963–973. https://doi.org/10.1109/HICSS.2013.39910.1109/HICSS.2013.399
- [11] Gray S., Zanre E., Gray S. Fuzzy Cognitive Maps as representations of mental models and group beliefs: theoretical and technical issues. Fuzzy Cognitive maps for Applied Sciences and Engineering - From fundamentals to extensions and learning algorithms. Springer Publishing, 2013.10.1007/978-3-642-39739-4_2
- [12] Gray S., et al. Modeling the integration of stakeholder knowledge in social-ecological system decision-making: Benefits and limitations to knowledge diversity. Ecological Modelling 2012:229:88–96. https://doi.org/10.1016/j.ecolmodel.2011.09.01110.1016/j.ecolmodel.2011.09.011
- [13] Gray S., et al. Are local coastal managers detecting the problem? Assessing stakeholder perception of climate vulnerability using Fuzzy Cognitive Mapping. Ocean and Coastal Management 2014:94:74–89. https://doi.org/10.1016/j.ocecoaman.2013.11.00810.1016/j.ocecoaman.2013.11.008
- [14] Henly-Shepard S., Gray S., Cox L. The use of participatory modeling to promote social learning and facilitate community disaster planning. Environmental Science & Policy 2015:45:109–122. https://doi.org/10.1016/j.envsci.2014.10.00410.1016/j.envsci.2014.10.004
- [15] Nayaki A., et al. Local-scale dynamics and local drivers of bushmeat trade. Conservation Biology 2014:28(5):1403–1414. https://doi.org/10.1111/cobi.1231610.1111/cobi.1231624975683
- [16] Halbrendt J., et al. Differences in farmer and expert beliefs and the perceived impacts of conservation agriculture. Global Environmental Change 2014:28:50–62. https://doi.org/10.1016/j.gloenvcha.2014.05.00110.1016/j.gloenvcha.2014.05.001
- [17] Kosko B. Fuzzy cognitive maps. International Journal of Man-Machine Studies 1986:24(1):65–75. https://doi.org/10.1016/S0020-7373(86)80040-210.1016/S0020-7373(86)80040-2
Language: English
Page range: 684 - 696
Published on: Aug 31, 2022
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
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© 2022 Tereza Bezrucko, Dace Lauka, Krista Laktuka, Liga Sniega, Ilze Vamza, Arnis Dzalbs, Viktorija Terjanika, Dagnija Blumberga, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.