MAPPING ENVIRONMENTAL AND SOCIO-ECONOMIC LANDSCAPE: A DISCRIMINANT ANALYSIS OF SUSTAINABLE REGIONAL DEVELOPMENT OF UKRAINE
DOI:
https://doi.org/10.60022/sis.3.(02).6Keywords:
Time-series data, Discriminant analysis, Regional development, Economic policy, Region, Model, Multidimensional analysis, Ecology, Economy, Environmental Policy, Sustainable developmentAbstract
This study investigates the regional disparities in environmental conditions and socio-economic development in Ukraine. Utilizing discriminant analysis, the research classifies Ukrainian regions according to a set of key ecological and economic variables: carbon dioxide emissions, nature reserves and national parks, gross regional product, return water discharges, waste generation, and environmental protection expenditures. The analysis identifies distinct regional groupings based on these indicators, revealing significant differences in environmental burden and economic output across the country. Furthermore, the study identifies the specific variables that most effectively discriminate between these regional groups, highlighting the factors driving environmental challenges in some areas and more sustainable patterns in others. The findings offer valuable insights for policymakers seeking to develop targeted environmental policies and promote sustainable development strategies that account for the diverse regional contexts within Ukraine.
References
Dong, X., & Zhang, H. (2024). Analyzing regional economic development from the perspective of sustainability using hybridized algorithm. Journal of Computational Methods in Sciences and Engineering, 24(4–5), 2375–2390.
Tan, F., & Lu, Z. (2016). Assessing regional sustainable development through an integration of nonlinear principal component analysis and Gram Schmidt orthogonalization. Ecological Indicators, 63, 71–81.
Cristina, I. O. M., Nicoleta, C., Cătălin, D. R., & Margareta, F. (2021). Regional development in Romania: Empirical evidence regarding the factors for measuring a prosperous and sustainable economy. Sustainability, 13(7), 3942.
Giacalone, M., Turco, R., Mosconi, E.M., Alaimo, L.S., & Salvati, L. (2024). The way toward growth: A time-series factor decomposition of socioeconomic impulses and urbanization trends in a pre-crisis European region. Social Indicators Research, 175(3), 837–858.
Ji, J., Tang, Z., Zhang, W., Liu, W., Jin, B., Xi, X., & Wang, Z. (2022). Spatiotemporal and multiscale analysis of the coupling coordination degree between economic development equality and eco-environmental quality in China from 2001 to 2020. Remote Sensing, 14(3), 737.
López-Villuendas, A. M., & del Campo, C. (2023). Regional economic disparities in Europe: Time-series clustering of NUTS 3 regions. International Regional Science Review, 46(3), 265–298.
Salvati, L., Venanzoni, G., & Carlucci, M. (2016). Towards (spatially) unbalanced development? A joint assessment of regional disparities in socioeconomic and territorial variables in Italy. Land Use Policy, 51, 229–235.
Shaker, R. R., & Zubalsky, S. L. (2015). Examining patterns of sustainability across Europe: A multivariate and spa- tial assessment of 25 composite indices. International Journal of Sustainable Development & World Ecology, 22(1), 1–13.
Ekonomou, G., & Halkos, G. (2023). Exploring the impact of economic growth on the environment: An overview of trends and developments. Energies, 16(11), 4497.
Zhang, D., Wu, L., Niu, X., Guo, Z., Zhang, Z., Li, S., & Xu, H. (2022). Looking for ecological sustainability: A dynamic evaluation and prediction on the ecological environment of the belt and road region. Sustainable Production and Consumption, 32, 851–862.
Lin, A., Liu, Y., Zhou, S., Zhang, Y., Wang, C., & Ding, H. (2023). Data-driven analysis and evaluation of regional resources and the environmental carrying capacity. Sustainability, 15(10), 8372.
Kovalchuk, O., Karpinski, M., Babala, L., Kasianchuk, M., & Shevchuk, R. (2023). The canonical discriminant model of the environmental security threats. Complexity, 2023(1), Article 5584750.
Buzko, I., Vartanova, O., Trunina, I., & Khovrak, I. (2019). Theoretical aspects of regional sustainable develop- ment in the EU and Ukraine. In SHS Web of Conferences (Vol. 61, p. 01001). EDP Sciences, Les Ulis.
Pascariu, G. C., Holovko-Havrysheva, O., & Krayevska, O. (2023). Ukraine: Geopolitical realities and regional development perspectives. Regional Science Policy & Practice, 15(1), 3–7.
Shults, S., Simkiv, L., Andrusiv, U., Bilyk, I., & Klym, N. (2022). Economic growth of regions of Ukraine in condi- tions of disproportional regional development. Journal of Optimization in Industrial Engineering, 15(1), 269–279.
Papagiannis, F., Gazzola, P., Burak, O., & Pokutsa, I. (2020). An intelligent environmental plan for sustainable regionalisation policies: The case of Ukraine. Environmental Science & Policy, 108, 77–84.
Zomchak, L., & Hakava, S. (2025). Unveiling disparities and resilience in Ukrainian regional labor markets: Multidimensional ranking approach. In Developments in information and knowledge management systems for business applications (Vol. 8, pp. 495–516). Springer, Cham.
Khomiuk, N., Bochko, O., Pavlikha, N., Demchuk, A., Stashchuk, O., Shmatkovska, T., & Naumenko, N. (2020). Economic modeling of sustainable rural development under the conditions of decentralization: a case study of Ukraine. (Unpublished manuscript).
Tan, F., & Lu, Z. (2015). Study on the interaction and relation of society, economy and environment based on PCA– VAR model: As a case study of the Bohai Rim region, China. Ecological Indicators, 48, 31–40.
Yemets, K., Izonin, I., & Dronyuk, I. (2025). Enhancing the FFT-LSTM time-series forecasting model via a novel FFT-based feature extraction–extension scheme. Big Data and Cognitive Computing, 9(2), 35. https://doi.org/10.3390/bdcc9020035
Yemets, K., Izonin, I., & Dronyuk, I. (2025). Time series forecasting model based on the adapted transformer neu- ral network and FFT-based features extraction. Sensors, 25, 652. https://doi.org/10.3390/s25030652
Ullah, A., Nobanee, H., Ullah, S., & Iftikhar, H. (2024). Renewable energy transition and regional integration: energizing the pathway to sustainable development. Energy Policy, 193, Article 114270.
Sporchia, F., Paneni, A., Pulselli, F.M., Caro, D., Bartolini, S., & Coscieme, L. (2021). Investigating environment- society-economy relations in time series in Europe using a synthetic input-state-output framework. Environmental Sci- ence & Policy, 125, 54–65.
Izonin, I., Tkachenko, R., Holoven, R., Yemets, K., Havryliuk, M., & Shandilya, S.K. (2022). SGD-based cascade scheme for higher degrees Wiener polynomial approximation of large biomedical datasets. Machine Learning and Knowl- edge Extraction, 4, 1088–1106. https://doi.org/10.3390/make4040055
Oleksiv, V., Izonin, I., Kharchuk, V., Tkachenko, R., & Doroshenko, A. (2018). Identification of IT sector stakehold- er’s requirements to master’s program in information system in Lviv region. In CEUR Workshop Proceedings (Vol. 2105, pp. 429–437).
Zomchak, L., & Kukhotska, T. (2025). Building Food Security Resilience in Ukraine: The Autoregressive Approach to Food Price Forecasting. In Developments in Information and Knowledge Management Systems for Business Applications: Volume 8 (pp. 403–424). Cham: Springer Nature Switzerland.
Vdovyn, M., & Zomchak, L. (2022). Export in services of Ukraine: pre-pandemic period, Covid-19 and war. Věda a perspektivy, 8(15), 48–57.
Zolkover, А., Iatseniuk, R., & Aiyedogbon, J. (2025). Strategic priorities for business innovation and investment in post-war Ukraine. Smart Economy, Enterpreneurship and Security, 3(1), 55–63.
Zolkover, A., Lagovska, O., Valihura, V., Zhelef, G., & Shynkar, T. (2024). Assessing the Impact of Green Taxation Policies on Sustainable Growth. Grassroots Journal of Natural Resources, 7(3), 331–348.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Лариса Зомчак, Максим Снігур, Богдан Дякун
This work is licensed under a Creative Commons Attribution 4.0 International License.
Facebook page
Telegram channel