Chapter 1. The concept of transition to a balanced sustainable development model
Keywords:
Sustainable development goals, Paris Agreement, matrix ecological and economic models, productivity, parametric system synthesis
Synopsis
Ecological systems modeling
Sustainable Development Goals pose new challenges for economies, which need to adapt their operations and strategies to the requirements of the SDGs. The object of the study is the system of ecological, economic, social and political relations in the process of sustainable development of a market economy in the context of implementation of the provisions of the Paris Agreement. The issue to be solved is analyzing the concept of sustainable development, the methodology for studying the interaction between the economy and the environment, to clarify their content using a balanced approach to economic, social and environmental tasks in modern conditions, and, as a result, to identify the main trajectories among the possible ones. The mathematical tools for modeling and analyzing the sustainable development of the economic system with regard to the Paris Agreement have been developed; the proposed methodology and tools allow analyzing the impact of environmental constraints on economic development at the level of intersectoral interaction. The interpretation of the results obtained is that it is possible to determine the macroeconomic parameters of the national sustainable development with ensuring both economic and environmental balance. The practical experience of using inter-sectoral models to solve environmental problems and rational use of resources shows the need for their application in the system of macroeconomic sectoral and regional models, and the obtained main trajectories – in the system of long-term planning. The peculiarity of the obtained results lies in the application of the method of basic matrices to the study of balance ecological and economic models of "input-output" based on the method of basic matrices and the possibility of its application in conditions of poor conditionality of the matrix structure. The proposed provisions, recommendations and conclusions can be used in the sustainable development of relevant legislation and laws at the national and international levels.
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References
Sixty-first session of the IPCC (2024). Sofia, 9–36.
Sustainable Innovation Forum (2016). Available at: http://www.cop21paris.org
Commission welcomes completion of key ‘Fit for 55' legislation, putting EU on track to exceed 2030 targets (2023). European Commission official portal. Available at https://ec.europa.eu/commission/presscorner/detail/en/IP_23_4754
Uriad skhvalyv tsili klimatychnoi polityky Ukrainy do 2030 roku (2021). Uriadovyi portal. Available at: https://www.kmu.gov.ua/news/uryad-shvaliv-cili-klimatichnoyi-politiki-ukrayini-do-2030-roku
Zhang, W., Zhang, M., Wu, S., Liu, F. (2021). A complex path model for low-carbon sustainable development of enterprise based on system dynamics. Journal of Cleaner Production, 321, 128934. https://doi.org/10.1016/j.jclepro.2021.128934
Buiak, L., Bashutska, O., Pryshliak, K., Hryhorkiv, V., Hryhorkiv, M., Kobets, V. (2020). Models of Rental Payments Formation for Agricultural Land Plots Taking into Account the Ecological Level of Economy. 2020 10th International Conference on Advanced Computer Information Technologies (ACIT). Deggendorf, 204–208. https://doi.org/10.1109/acit49673.2020.9208959
Böhringer, C., Peterson, S., Rutherford, T. F., Schneider, J., Winkler, M. (2021). Climate policies after Paris: Pledge, Trade and Recycle. Energy Economics, 103, 105471. https://doi.org/10.1016/j.eneco.2021.105471
Sun, R. (2023). Economic Mathematical Models: Examining Their Impact on Individuals. Advances in Economics, Management and Political Sciences, 50 (1), 16–22. https://doi.org/10.54254/2754-1169/50/20230542
Hryhorkiv, V., Buiak, L., Hryhorkiv, M. (2018). The dynamic model of economy in view of socio-economic clusterization and tax burden. The Economics of the XXI Century: Current State and Development Prospects. London: Published by Sciemcee Publishing, 217–231.
Kudin, V., Onotskyi, V., Al-Ammouri, A., Shkvarchuk, L. (2019). Advancement of a long arithmetic technology in the construction of algorithms for studying linear systems. Eastern-European Journal of Enterprise Technologies, 1 (4 (97)), 14–22. https://doi.org/10.15587/1729-4061.2019.157521
Kudin, V., Onyshchenko, A., Onyshchenko, I. (2019). Algorithmizing the methods of basis matrices in the study of balace intersectoral ecological and economic models. Eastern-European Journal of Enterprise Technologies, 3 (4 (99)), 45–55. https://doi.org/10.15587/1729-4061.2019.170516
Strategic Plan for Biodiversity 2011–2020, including Aichi Biodiversity Targets (2020). Available at: https://www.cbd.int/sp/targets
Index (2024). Water, The Environment, and the Sustainable Development Goals, 455–475. https://doi.org/10.1016/b978-0-443-15354-9.00026-8
United Nations Framework Convention on Climate Change (1992). Available at: https://unfccc.int/files/essential_background/background_publications_htmlpdf/application/pdf/conveng.pdf
Lytvyn, O. (2024). Sustainable Development of Digital Transformations and Innovative Technologies in the Economy. Transformacje cyfrowe i technologie innowacyjne w ekonomii. Łomża: Międzynarodowa Akademia Nauk Stosowanych w Łomży; Charków: PISzW "Charkowski Uniwersytet Technologiczny "SHAG", MANS w Łomży, 1, 324–335.
The Sustainable Development Goals Extended Report (2024). United Nations, 3–43. Available at: https://unstats.un.org/sdgs/report/2024/The-Sustainable-Development-Goals-Report-2024.pdf
Lytvyn, O., Onyshchenko, A., Ostapenko, O. (2023). Economic challenges of sustainable development goals in Ukraine. Baltic Journal of Economic Studies, 9 (1), 100–112. https://doi.org/10.30525/2256-0742/2023-9-1-100-112
Liu, J., Pei, X., Zhu, W., Jiao, J. (2023). Simulation of the Ecological Service Value and Ecological Compensation in Arid Area: A Case Study of Ecologically Vulnerable Oasis. Remote Sensing, 15 (16), 3927. https://doi.org/10.3390/rs15163927
Paul, C., Reith, E., Salecker, J., Knoke, T. (2019). How Integrated Ecological-Economic Modelling Can Inform Landscape Pattern in Forest Agroecosystems. Current Landscape Ecology Reports, 4 (4), 125–138. https://doi.org/10.1007/s40823-019-00046-4
Cheng, X., Xu, Z., Yu, S., Peng, J. (2022). A wavelet coherence approach to detecting ecosystem services trade-off response to land use change. Journal of Environmental Management, 316, 115160. https://doi.org/10.1016/j.jenvman.2022.115160
Castro, L. M., Lechthaler, F. (2022). The contribution of bio-economic assessments to better informed land-use decision making: An overview. Ecological Engineering, 174, 106449. https://doi.org/10.1016/j.ecoleng.2021.106449
King, C. W. (2020). An integrated biophysical and economic modeling framework for long-term sustainability analysis: the HARMONEY model. Ecological Economics, 169, 106464. https://doi.org/10.1016/j.ecolecon.2019.106464
Lytvyn, O., Kuryliuk, Y., Onyshchenko, A., Kudin, V., Parkhomenko, V., Filiuk, S. (2023). Toolkit for Ensuring Management of Socially Responsible Business Activities. Economic Affairs, 68 (1s), 83–89. https://doi.org/10.46852/0424-2513.1s.2023.10
Samuelson, P. A. (2011). The Collected Scientific Papers of Paul Samuelson. MIT Press Books, 1 (6).
Copyright (c) 2025 Andrii Onyshchenko, Volodymyr Kudin, Olena Lytvyn, Halyna Kashcheieva ________________________________________ How to Cite: Onyshchenko, A., Kudin, V., Lytvyn, O., Kashcheieva, H.; Cherniavska, T. (Ed.) (2025). The concept of transition to a balanced sustainable development model. Ecological systems modeling. Tallinn: Scientific Route OÜ, 3-34. https://doi.org/10.21303/978-9908-9706-6-0.ch1
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