УКР
ENG
Search


Environmental Resilience of Ukraine’s Regions: The Integrated Assessment, Typology, and Transformation in the Context of Wartime Shocks
Samoilenko V. S.

Samoilenko, Vladyslav S. (2026) “Environmental Resilience of Ukraine’s Regions: The Integrated Assessment, Typology, and Transformation in the Context of Wartime Shocks.” The Problems of Economy 2:158–167.
https://doi.org/10.32983/2222-0712-2026-2-158-167

Section: Regional economy

Article is written in Ukrainian
Downloads/views: 1

Download article in pdf format -

UDC 332.14:504.06:338

Abstract:
The article assesses the environmental resilience of Ukraine’s regions amid consecutive crisis shocks caused by the military conflict of 2014–2015 and the full-scale armed aggression in 2022–2024. The aim of the study is to determine the dynamics, spatial differences, and transformation trajectories of environmental resilience at the regional level. The methodological basis of the study is the construction of an integrated environmental resilience index, which aggregates five key components: air emissions intensity, level of circular waste management, status of water resources, forest recovery index, and volume of environmental investments. The indicators were normalized using the Min–Max method, and the weighting coefficients were determined using the entropy method, ensuring an objective evaluation. The typology of regions was carried out using a modified Harrington desirability scale, which allowed us to identify four types of regions: ecologically sustainable, regions of ecological transformation, ecologically vulnerable, and regions of ecological degradation (including ecological collapse). The study results indicate that compared to the baseline year of 2013, in 2021, the ecological resilience of Ukraine’s regions was marked by increased vulnerability and a loss of conditions for developing sustainable development models. At the same time, compared to 2015, in 2021 there was a trajectory of partial stabilization, reflecting the adaptation of regional systems after a phase of active war shock. In 2022–2024, there was a radical break from previous trends and a shift to a model of forced adaptation, in which the dynamics of ecological systems are determined mainly by war-related factors. It has been found that ecological resilience in modern conditions is losing its regenerative nature and operates on the principle of survival under limited resources. This is accompanied by increasing spatial asymmetry, the expansion of groups of ecological degradation, and local collapses.

Keywords: ecological resilience; regions of Ukraine; integral index; emission intensity; waste circularity; water resources; forest restoration; ecological investments.

Tabl.: 7. Bibl.: 23.

Samoilenko Vladyslav S. – Postgraduate Student, Research Centre for Industrial Problems of Development of NAS of Ukraine (2 floor 1-a Inzhenernyi Ln., Kharkіv, 61166, Ukraine)
Email: samoylenko@gmail.com

List of references in article

D’Adamo I., Favari D., Gastaldi M. & Kirchherr J. (2024). Towards circular economy indicators: Evidence from the European Union. Waste Management & Research, 2(42), 1–15. https://doi.org/10.1177/0734242X241237171
Danylyshyn B., Pylypiv V. & Obykhod H. (2025). Rezylientnist rehioniv v konteksti dosiahnennia tsilei staloho ta vidpovidalnoho spozhyvannia turystychnykh resursiv: ekolohiia, ekonomika ta sotsium [Resilience of regions in the context of achieving the goals of sustainable and responsible consumption of tourist resources: ecology, economy and society]. Ekonomika ta suspilstvo, 71. https://doi.org/10.32782/2524-0072/2025-71-105
Derringer G. & Suich R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 4(12), 214–219.
DU «Instytut rehionalnykh doslidzhen imeni M. I. Dolishnoho NAN Ukrainy». Lviv (2024). Rezylientnist endohennoho rozvytku rehioniv v umovakh hlobalnykh vyklykiv ta shokiv [Resilience of endogenous development of regions under conditions of global challenges and shocks]. DU «Instytut rehionalnykh doslidzhen imeni M. I. Dolishnoho NAN Ukrainy». Lviv.
European Commission. Brussels. (2020). A new Circular Economy Action Plan: For a cleaner and more competitive Europe: Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. https://eur-lex.europa.eu/resource.html?uri=cellar:9903b325-6388-11ea-b735-01aa75ed71a1.0017.02/DOC_1&format=PDF
Folke C. (2016). Resilience (republished). Ecology and Society, 4(21). https://www.jstor.org/stable/26269991
Folke C., Carpenter S. R., Walker B., Scheffer M., Chapin T. & Rockstrom J. (2010). Resilience thinking: integrating resilience, adaptability and transformability. Global Environmental Change, 3(20), 433–440. https://www.jstor.org/stable/26268226
Geissdoerfer M., Savaget P., Bocken N. M. P. & Hultink E. J. (2017). The circular economy – a new sustainability paradigm?. Journal of Cleaner Production, 143, 757–768. https://doi.org/10.1016/j.jclepro.2016.12.048
Harrington E. C. (1965). The desirability function. Industrial Quality Control, 10(21), 494–498.
Kalashnikova T. (2024). Study of the evolution of the theory of resilience in application to territorial systems. Demography and Social Economy, 4(58), 65–78. https://doi.org/10.15407/dse2024.04.065
Khaustova V. Ye. & Reshetniak O. I. (2023). Rezylientnist ekonomiky: sutnist i vyklyky dlia Ukrainy [Resilience of the economy: essence and challenges for Ukraine]. Biznes Inform, 7, 30–41. https://doi.org/10.32983/2222-4459-2023-7-30-41
Kirchherr J., Reike D. & Hekkert M. (2017). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, Conservation and Recycling, 127, 221–232. https://doi.org/10.1016/j.resconrec.2017.09.005
Murthy G. S. (2021). Resilience thinking. Biomass, Biofuels, Biochemicals: Green-Economy: Systems Analysis for Sustainability (pp. 113–126). Elsevier. Amsterdam. https://doi.org/10.1016/B978-0-12-819242-9.00001-4
Nardo M., Saisana M., Saltelli A., Tarantola S., Hoffmann A. & Giovannini E. (2005). Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD Publishing. Paris, 2005/03. https://www.oecd.org/content/dam/oecd/en/publications/reports/2005/08/handbook-on-constructing-composite-indicators_g17a16e3/533411815016.pdf
OECD, European Commission & Joint Research Centre (2008). Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD Publishing. Paris. https://doi.org/10.1787/9789264043466-en
OECD Publishing. Paris (2018). Indicators for Resilient Cities. OECD Publishing. Paris. https://www.oecd.org/content/dam/oecd/en/publications/reports/2018/03/indicators-for-resilient-cities_ab6c16ee/6f1f6065-en.pdf
Rodrigues M., Garcez A. & Franco M. (2025). Building bridges between circularity indicators and sustainability. Discover Sustainability, Article 1242(6). https://doi.org/10.1007/s43621-025-02103-x
Sewenet A. D., Boulaksil Y. & Pisano P. (2026). Circular economy, circularity, and sustainability: A systematic review and conceptual framework. Cleaner Environmental Systems, Article 100405(20). https://doi.org/10.1016/j.cesys.2026.100405
Trippl M., Fastenrath S. & Isaksen A. (2024). Rethinking regional economic resilience: Preconditions and processes shaping transformative resilience. European Urban and Regional Studies, 2(31), 101–115. https://doi.org/10.1177/09697764231172
Walker B., Holling C. S., Carpenter S. R. & Kinzig A. P. (2004). Resilience, adaptability and transformability in social-ecological systems. Ecology and Society, 2(9), Article 5. https://www.jstor.org/stable/26267673
Wang Y.-J. (2007). Generalizing TOPSIS for fuzzy multiple-criteria group decision making. Mathematical and Computer Modelling, 46, 1163–1170. https://doi.org/10.1016/j.mcm.2007.01.001
Zomchak L. M., Pylypiv R. I. & Komar M. I. (2025). Ekoloho-ekonomichna rezylientnist rehionalnykh system Ukrainy v umovakh destruktyvnykh vyklykiv [Ecological and economic resilience of regional systems of Ukraine in conditions of destructive challenges]. Upravlinnia zminamy ta innovatsii, 15, 28–32. https://doi.org/10.32782/CMI/2025-15-4
Zou Z.-H., Yun Y. & Sun J.-N. (2006). Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Journal of Environmental Sciences, 5(18), 1020–1023. https://doi.org/10.1016/S1001-0742(06)60032-6

  The Problems of Economy, 2009-2026 The site and its metadata are licensed under CC-BY-SA. Write to webmaster