https://repository.hneu.edu.ua/handle/123456789/15710 2026-09-10T22:47:12Z https://repository.hneu.edu.ua/handle/123456789/41714 Назва: Development of a competitiveness management model for agri-food products based on logistics integration and integrated assessment Автори: Bril M.; Larina T.; Shapovalova I.; Tkachenko V.; Darushyn O.; Garbazhiy K.; Burtsev O.; Haharinov O.; Baban T.; Potapiuk I. Короткий огляд (реферат): The object of research is the competitiveness management system of Ukraine’s agri-food products. The research addresses the problem of insufficient theoretical substantiation of the impact of logistics integration on the competitiveness of Ukraine’s agri-food products under current conditions. The aim of the research is to develop a model for managing the competitiveness of agri-food products based on logistics integration using the Integrated Logistics Competitiveness Index (ILCI). The findings confirm the significant impact of logistics integration on the competitiveness of agri-food products. Based on statistical data for the period 2018–2024, the Integrated Logistics Competitiveness Index (ILCI) was calculated. The index enabled a comprehensive assessment of the competitiveness of agri-food products. The analysis showed that the index reached its highest value of 0.696 in 2021. In 2022, it declined to 0.367 due to disruptions in logistics infrastructure and changes in export routes for agri-food products. By 2024, the index had recovered to 0.606, indicating the adaptation of agri-food supply chains through the diversification of transport routes and deeper integration into European logistics networks. A key feature of the obtained results is the integration of a conceptual competitiveness management model for agri-food products with its empirical validation based on integrated index assessment and robustness analysis. The practical significance of the research lies in its potential application to the development of public policy aimed at advancing agri-food logistics, improving supply chain management mechanisms, and enhancing the competitiveness of Ukrainian agri-food products in international markets. 2026-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/41592 Назва: Plateau and Structural Regime Shift: Hybrid Forecasting of the EU Decarbonisation Gap Toward 2030 Targets Автори: Liashenko O.; Pavlov K.; Pavlova O.; Demianiuk O.; Chmura R.; Sowa B.; Vlasenko T. Короткий огляд (реферат): This study investigates the structural evolution and projected trajectory of greenhouse gas (GHG) emissions across the EU27 from 1990 to 2030, with a particular focus on their implications for the effectiveness of European climate policy. Empirical findings, based on Markov-switching models and segmented regression analysis, indicate a statistically significant regime change around 2014, marking a transi tion to a new emissions pattern characterised by a deceleration in reduction rates. The results underscore critical weaknesses in the EU’s climate policy architecture and reveal a clear need for transformative recalibration. Without accelerated action and strengthened governance mechanisms, the post-2014 regime risks entrenching a plateau in emissions reductions, jeopardising long-term climate objectives. 2026-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/41591 Назва: From Stochastic Shocks to Structural Burden: Quantifying Systemic Climate-Related Economic Risks in the European Union Автори: Pavlov K.; Liashenko O.; Pavlova O.; Wołowiec T.; Bochenek P.; Ćwik K.; Vlasenko T. Короткий огляд (реферат): Despite the well-documented acceleration of climate-related economic losses in Europe, existing research has largely treated these damages as isolated stochastic events rather than as structurally embedded fiscal risks. This gap leaves EU fiscal governance frameworks inadequately prepared for the persistent, spatially concentrated, and temporally depen dent nature of such losses. This study addresses this gap by investigating the systemic transformation of climate-related economic risks within the European Union, arguing that climate losses have evolved from unpredictable stochastic shocks into a persistent, struc tural burden on the European economy. Consequently, the paper advocates for a paradigm shift in EU climate policy-moving toward anticipatory fiscal instruments, harmonised resilience financing, and monitoring systems designed to mitigate systemic volatility and cross-country economic asymmetry rather than merely responding to isolated disaster events. 2026-01-01T00:00:00Z https://repository.hneu.edu.ua/handle/123456789/41590 Назва: Classifying National Pathways of Sustainable Development Through Bayesian Probabilistic Modelling Автори: Liashenko O.; Pavlov K.; Pavlova O.; Chmura R.; Czechowska-Kosacka A.; Vlasenko T.; Sabat A. Короткий огляд (реферат): As global efforts to achieve the Sustainable Development Goals (SDGs) enter a critical phase, there is a growing need for analytical tools that reflect the complexity and het erogeneity of development pathways. This study introduces a probabilistic classification framework designed to uncover latent typologies of national performance across the sev enteen Sustainable Development Goals. Unlike traditional ranking systems or composite indices, the proposed method uses raw, standardised goal-level indicators and accounts for both structural variation and classification uncertainty. The findings provide a prac tical basis for tailoring national strategies to structural conditions and the multidimensional nature of sustainable development. 2026-01-01T00:00:00Z