Search Results (133)

This study examines whether digital capabilities constitute a necessary condition for green innovation and firm competitiveness in the context of increasing sustainability and digital transformation pressures. Although prior research frequently links digitalization to improved environmental and business outcomes, limited evidence exists on whether firms must achieve a minimum level of digital capability to successfully generate green innovation and sustain competitive performance. To address this gap, the study investigates the relationships among digital capabilities, green innovation, and firm competitiveness using Partial Least Squares Structural Equation Modelling (PLS-SEM) and Necessary Condition Analysis (NCA). Using survey data from 740 firms across Hungary, Romania, Poland, Austria, and other Central and Eastern European (CEE) countries, the findings demonstrate that digital capabilities significantly enhance both green innovation and firm competitiveness. Green innovation further acts as a mediating mechanism through which digital capabilities translate into superior competitive outcomes. Importantly, the NCA results reveal that digital capabilities are not merely beneficial but represent a necessary condition for achieving high levels of green innovation and competitiveness within the studied sample of CEE firms, suggesting a threshold relationship that warrants further causal investigation. Firms with higher digital maturity consistently outperform less digitally developed firm. Firms with higher digital maturity consistently outperform less digitally developed firms in leveraging sustainability-oriented innovation strategies. The study contributes to the literature by advancing understanding of how digital transformation capabilities support sustainable competitiveness and by combining sufficiency and necessity analytical approaches to examine these relationships. The findings also provide practical implications for managers and policymakers by highlighting the strategic importance of investing in digital capabilities to simultaneously support environmental sustainability and long-term competitive performance. Full article

This paper investigates the relationship between green vocational education and training (VET), structural economic features, and green employment in Central and Eastern European (CEE) economies. For the purpose of the research, an initial database covering the post-2010 period was assembled from Eurostat and related statistical sources. Due to data availability and cross-country comparability constraints, the final empirical analysis employs a balanced panel of six EU Member States covering the period 2018–2022. The empirical analysis employs pooled OLS and fixed-effects estimators over the period 2018–2022, following a stepwise modeling strategy to assess baseline relationships and robustness. The results show that VET enrollment alone is not a reliable predictor of green employment growth, while VET graduation rates exhibit a more consistent—yet not robust—association once country-specific heterogeneity is controlled for. By contrast, structural reliance on industrial sectors is consistently linked to lower green employment shares, while environmental tax revenues demonstrate modest positive effects. Overall, the findings suggest that green employment dynamics are driven primarily by structural and macroeconomic conditions rather than by skill formation alone. The study contributes to the literature on the green transition by providing an integrated perspective on the interaction between skills, structural transformation, and policy incentives in shaping sustainable labor market outcomes. Full article

Background/Objectives: Lung cancer remains the leading cause of cancer-related mortality in Central and Eastern Europe (CEE), where late-stage diagnosis, structural healthcare limitations, and regional epidemiological confounders complicate early detection. This review aimed to synthesize the evidence from Romania, Poland, Hungary, and Bulgaria and to outline a context-adapted multimodal screening strategy for CEE settings. Methods: A structured review of PubMed-, Scopus-, and Web of Science-indexed literature published from 2010 through 27 December 2025 was performed, focusing on lung cancer epidemiology, screening, implementation barriers, risk stratification, and adjunctive diagnostic approaches in the four selected CEE countries. A total of 297 articles were included. Results: The evidence confirms a persistently high burden of late-stage lung cancer across CEE, driven by tobacco exposure, air pollution, radon, comorbidities, diagnostic delays, fragmented registries, workforce shortages, and marked socioeconomic and geographic inequalities. In addition, tuberculosis-related granulomatous lesions and chronic inflammatory lung disease complicate nodule interpretation and reduce screening specificity in parts of the region. Screening experience from Poland and Hungary supports the feasibility of low-dose computed tomography (LDCT) when paired with volumetric assessment and structured follow-up. Risk-prediction models may improve participant selection, while biological triage may help reduce unnecessary invasive procedures, although prospective validation remains limited. Conclusions: In CEE, lung cancer screening should be implemented as a multimodal, context-adapted program combining risk-based enrollment, volumetric LDCT, selective biological triage, smoking-cessation support, and centralized multidisciplinary delivery. Full article

Background/Objectives: Multidrug-resistant tuberculosis (MDR-TB) remains a major public health challenge in the WHO European Region, which reports the highest global proportion of rifampicin-resistant and MDR-TB cases. Whole-genome sequencing (WGS) has emerged as a key tool for improving drug-resistance detection and supporting molecular surveillance. However, the level of genomic implementation across Central and Eastern Europe (CEE) remains insufficiently characterized. This scoping review aimed to evaluate the use of WGS for MDR-TB in CEE countries and to classify implementation maturity using a predefined framework (L0–L4). Methods: A structured search of PubMed/MEDLINE and Web of Science identified original studies published in English between 2015 and 2026 reporting genomic applications in MDR-TB across 13 predefined CEE countries. Data were extracted on sequencing approaches, resistance prediction, transmission analysis, monitoring of new or repurposed drugs, bioinformatic pipelines, and programmatic integration. Countries were categorized according to a five-level maturity model based on documented capacity, scope of application, and integration into national tuberculosis programs (NTPs). Results: Twenty-eight studies were included. WGS was used in 23/28 studies (82.1%), predominantly for genomic resistance prediction (25/28). Transmission analysis was reported in 19/28 studies, with heterogeneous single nucleotide polymorphism (SNP) thresholds and clustering methodologies. Monitoring of resistance to new or repurposed drugs was described in 8/28 studies. No country achieved Level L4 (formally integrated genomic surveillance). Four countries were classified as L3 and nine as L2, while no L0 or L1 settings were identified. Conclusions: Countries in Central and Eastern Europe demonstrate increasing operational use of WGS for MDR-TB, primarily driven by clinical resistance prediction. However, the lack of formal integration into national surveillance systems highlights a persistent gap between technological adoption and structured public health implementation. Strengthening programmatic integration and methodological standardization is essential for advancing genomic surveillance of MDR-TB in the region. Full article

The contemporary global landscape is undergoing a profound reconfiguration driven by the structural synergy between digital transformation and long-term sustainability goals. Central to this evolution is the “twin transition”, where the digital economy serves as a critical catalyst for environmental responsibility and economic resilience. This research investigates the nexus between innovative entrepreneurship and sustainable growth across Central and Eastern Europe (CEE), with a specific emphasis on Romania’s development trajectory during the 2020–2024 period. By utilising a multi-dimensional statistical analysis of the Global Entrepreneurship Monitor (GEM), Digital Economy and Society Index (DESI), Global Innovation Index (GII), and European Innovation Scoreboard (EIS), the study evaluates how digital maturity influences innovation performance. The findings underscore that fostering sustainable entrepreneurship requires the cultivation of dynamic capabilities and a robust digital infrastructure to support an inclusive, knowledge-driven economy. While Romania exhibits a steady upward trend in its digital indicators, a significant performance gap persists compared to regional leaders such as Poland and Hungary. This discrepancy is largely attributed to structural bottlenecks in digital human capital and a deficit in local research and development investment. Ultimately, the study proposes a strategic roadmap focused on green-tech incentives and interdisciplinary educational ecosystems to bridge existing gaps and unlock Romania’s innovation potential within the framework of the European digital decade. Full article

The transition from cash to digital payment instruments is reshaping retail commerce across Europe unevenly, with Central and Eastern European (CEE) countries exhibiting both some of the fastest growth and some of the lowest baseline levels in online shopping participation. This study examines whether the development of digital payment infrastructure proxied by the share of individuals using internet banking (NetBank) is associated with e-commerce adoption across eleven CEE EU member states over the period 2014–2023, yielding a balanced panel of 110 country-year observations. Drawing on harmonised data from Eurostat, the World Bank, and the ITU, we estimate a two-way fixed-effects model with kernel-robust standard errors and a dynamic specification with a lagged dependent variable. The results indicate that a one-standard-deviation improvement in internet banking penetration is associated with a 6.2 percentage point increase in the share of online shoppers once country and year fixed effects are controlled for, a finding that is precisely estimated under kernel standard errors (p < 0.001). Income-group heterogeneity analysis suggests that this association may be substantially larger in lower-income CEE countries (β = 6.9, p = 0.006) compared to higher-income ones (β = 2.3, p = 0.554), consistent with the hypothesis that payment infrastructure improvements generate the highest marginal returns where baseline access is lowest. Romania, despite recording the steepest absolute growth in online shopping in the EU over the sample period (+33 percentage points), remains persistently below the CEE median, illustrating how payment infrastructure constraints can slow convergence even during periods of rapid digitisation. The findings should be interpreted as robust conditional associations rather than causal effects, given the limitations of macro-panel identification. Full article

Digital technologies have fundamentally changed how public administration operates, moving it from traditional bureaucratic structures toward more efficient and responsive systems. This study analyzes the links between e-government usage (measured as the percentage of individuals who interact with public authorities via online platforms), governance quality, and fiscal performance across ten Central and Eastern European countries from 2010 to 2023. Using a fixed-effects panel data model, we investigate whether higher e-government usage is associated with stronger government effectiveness, improved budget balances, and more sustainable public debt levels, while controlling for key macroeconomic and structural factors. Employing a fixed-effects panel data model, we examine whether greater use of e-government services is associated with stronger government effectiveness, improved budget balances, and more sustainable public debt levels, while accounting for key macroeconomic and structural factors. The findings show a positive and statistically significant association between e-government usage and government effectiveness. The links to fiscal outcomes are more nuanced: e-government usage is associated with better budget balances, mainly through indirect channels such as higher tax compliance and tighter expenditure control. In contrast, its association with public debt levels is weaker and appears to depend more strongly on broader macroeconomic conditions. Overall, the findings suggest that greater e-government usage is associated with improvements in governance quality in the CEE region, although its contribution to long-term fiscal sustainability remains conditional on the quality of existing institutions. Full article

Positioned in the context of the COVID-19 crisis and subsequent recovery, the research investigates how digital infrastructures and skills contribute to strengthening governance quality and urban economic resilience across Central and Eastern European (CEE) countries over the 2019–2024 timeframe. Using a panel data framework, the analysis incorporates Harris–Tzavalis unit root tests, multicollinearity diagnostics, and comparative fixed and random effects estimations selected via the Hausman test, with additional robustness checks for serial correlation. The findings indicate that digitalization exerts a positive and statistically significant effect on economic resilience, particularly when supported by effective corporate governance structures. At the same time, disparities in digital access highlight persistent structural vulnerabilities across CEE urban areas. The results emphasize the importance of integrating digital transformation and governance reforms into comprehensive resilience strategies. The study contributes to the emerging literature on post-pandemic urban recovery by offering empirical evidence from a heterogeneous regional context and providing policy-relevant insights for sustainable and inclusive urban development. Full article

Corporate governance is increasingly recognised as a key mechanism supporting sustainability transparency, accountability, and long-term value creation. While prior research has examined governance–performance relationships and sustainability outcomes using proprietary ESG ratings, evidence on how governance structures enable sustainability disclosure remains limited, particularly in Central and Eastern Europe (CEE). This gap reflects heterogeneous institutional environments and uneven ESG data availability in emerging European markets. To address this limitation, this study develops and applies a Corporate Governance–Sustainability Index for Central and Eastern Europe (CGSI–CEE). The index integrates core governance mechanisms (such as board effectiveness, leadership structure and ownership discipline) with sustainability transparency indicators, namely ESG report publication and CO₂ emissions disclosure. The CGSI–CEE is constructed using publicly available firm-level data from CEE blue-chip companies over the 2018–2024 period and follows a transparent, theory-driven weighting scheme. The results reveal substantial heterogeneity in governance-enabled sustainability capacity across firms, sectors, and countries. Bivariate results indicate a negative association with short-term accounting profitability and a positive association with market valuation; however, these relationships weaken once firm-level characteristics are controlled for, reinforcing the interpretation of CGSI–CEE as a structural governance-capacity measure rather than a direct performance determinant. Full article

As the European population ages, the sustainability of pension systems faces a trilemma: the structural conflict between achieving benefit adequacy, fiscal stability, and labor market flexibility. This study investigates the primary research hypothesis that these three objectives involve trade-offs under current institutional designs. We examine the structural interrelationships between economic development, population health, and institutional pension characteristics across the EU’s 27 member states. Using cross-sectional data from Eurostat and the OECD from 2023, the study employs a multivariate framework, including Multiple Factor Analysis (MFA) and Principal Component Analysis (PCA), to visualize latent trade-offs. Non-parametric statistical tests were applied to validate structural differences between the Nordic, Continental, Southern, and Central and Eastern European (CEE) welfare regimes. The paper’s central argument is that pension sustainability is less a demographic inevitability and more a path-dependent result of institutional “exit cultures” and regional health-wealth traps. The analysis explains 56.7% of the total variance across two primary dimensions, revealing a persistent east–west divide where GDP per capita and Healthy Life Years (HLYs) at age 65 are strongly coupled. Additionally, the analysis identified a fundamental sustainability trade-off: countries with higher pension expenditures and replacement rates, such as those in the Southern and Continental clusters, have significantly earlier labor market exit ages. Statistical evidence shows that the gender pension gap is the most significant factor in differentiating welfare regimes, with the CEE region showing significantly lower inequality than the Western cluster. Ultimately, the findings contribute to public administration literature by demonstrating that policy interventions must prioritize addressing the culture of early retirement in Western countries and the health-wealth trap in Eastern countries to ensure long-term viability. Full article

Early in 2020, the WHO recommended that existing drugs be evaluated as a repurposed resource to fight the SARS-CoV-2 pandemic. Here, we investigate the trends of using repurposed and off-label drugs among people living with HIV in Central and Eastern Europe (CEE). From November 2020 to May 2021, data on the clinical outcomes of HIV-positive patients diagnosed with COVID-19 were collected on eCRFs (SurveyMonkey^® platform, Inc. San Mateo, CA, USA). Factors associated with the off-label drugs available at this time (chloroquine, hydroxychloroquine, favipiravir, oseltamivir, and lopinavir/ritonavir) were identified using logistic regression models. Of the 557 HIV-positive patients assessed with COVID-19 disease, 67 (12.0%) received off-label drugs, as well as 11.6% (16/138) of hospitalized and 12.2% (51/419) of ambulatory patients (p = 0.8564). In the adjusted logistic regression model, higher odds of off-label drug use were found in patients who had their diagnoses confirmed by an RT PCR test (aOR 5.08 [95%CI 1.17–22.0], p = 0.0396), and who came from a non-EU region (aOR 6.79 [95%CI 3.51–13.1], p < 0.0001). The only factor decreasing the odds of off-label drug use was co-infection (aOR 0.31 [95%CI 0.10–0.94], p < 0.0395). In a cohort of HIV patients from the CEE, 12% were prescribed off-label drugs for COVID-19. Symptomatic patients with confirmed SARS-CoV-2 infection or who were from non-EU countries were more likely to receive a repurposed drug. Drug repurposing is an immediate solution to emerging pandemics. All data regarding the safety and effectiveness of such use should be monitored, reported, and publicly available. Access patterns within and outside the EU should be analyzed to prevent potential inequalities in access to care during epidemics in European settings. Full article

This study examines the evolution, heterogeneity, and short-term prospects of export performance in seven Central and Eastern European (CEE) economies—Croatia, Czech Republic, Hungary, Poland, Romania, Bulgaria, and Slovakia—over the period 1995–2024. Using annual World Bank data, exports are modeled as a share of GDP to ensure cross-country comparability and to capture differences in trade dependence. The analysis combines descriptive and inferential statistics with Augmented Dickey–Fuller tests, non-parametric comparisons, Granger causality analysis, and country-specific ARIMA models to investigate export dynamics, the role of foreign direct investment (FDI), and future export trajectories. The results reveal a common long-term upward trend in export intensity across all countries, driven by European integration and structural transformation, but with pronounced cross-country differences in export dependence and volatility. Highly open economies such as Slovakia, Hungary, and the Czech Republic exhibit strong export performance alongside greater exposure to external shocks, while larger domestic markets such as Poland and Romania display lower export intensity and greater stabilization. Granger causality tests indicate that FDI contributes to export growth in several economies, often with multi-year lags, highlighting the importance of absorptive capacity and institutional quality in translating investment inflows into export competitiveness. ARIMA-based forecasts for 2025–2027 suggest continued export expansion and relative stabilization despite recent global disruptions. This study’s primary contribution lies in integrating comparative export analysis, causality testing, and short-term forecasting within a unified econometric framework, offering policy-relevant insights into export-led growth and economic convergence in post-transition European economies. Full article

Online hate speech poses a growing socio-technological threat that undermines democratic resilience and obstructs progress toward Sustainable Development Goal 16 (SDG 16). This study examines the regulatory and behavioral dimensions of this phenomenon through a combined legal analysis of platform governance and an empirical survey conducted on Meta platforms, based on a sample of young Hungarians (N = 301, aged 14–34). This study focuses on Hungary as a relevant case study of a Central and Eastern European (CEE) state. Countries in this region, due to their shared historical development, face similar societal challenges that are also reflected in the online sphere. The combination of high social media penetration, a highly polarized political discourse, and the tensions between platform governance and EU law (the DSA) makes the Hungarian context particularly suitable for examining digital resilience and the legal awareness of young users. The results reveal a significant “awareness gap”: While a majority of young users can intuitively identify overt hate speech, their formal understanding of platform rules is minimal. Furthermore, their sanctioning preferences often diverge from Meta’s actual policies, indicating a lack of clarity and predictability in platform governance. This gap signals a structural weakness that erodes user trust. The legal analysis highlights the limited enforceability and opacity of content moderation mechanisms, even under the Digital Services Act (DSA) framework. The empirical findings show that current self-regulation models fail to empower users with the necessary knowledge. The contribution of this study is to empirically identify and critically reframe this ‘awareness gap’. Moving beyond a simple knowledge deficit, we argue that the gap is a symptom of a deeper legitimacy crisis in platform governance. It reflects a rational user response—manifesting as digital resignation—to opaque, commercially driven, and unaccountable moderation systems. By integrating legal and behavioral insights with critical platform studies, this paper argues that achieving SDG 16 requires a dual strategy: (1) fundamentally increasing transparency and accountability in content governance to rebuild user trust, and (2) enhancing user-centered digital and legal literacy through a shared responsibility model. Such a strategy must involve both public and private actors in a coordinated, rights-based approach. Ultimately, this study calls for policy frameworks that strengthen democratic resilience not only through better regulation, but by empowering citizens to become active participants—rather than passive subjects—in the governance of online spaces. Full article

The growing environmental challenges and the urgent need for an accelerated energy transition have intensified the European Union’s efforts to expand the use of renewable energy sources and reduce dependence on fossil fuels. This study estimates the impact of selected socioeconomic, political, and technological factors on the share of renewable energy in gross final energy consumption. This issue is of key relevance for EU energy and climate policy, particularly in the context of the ongoing transformation processes in Central and Eastern European (CEE) Member States. The analysis covers eleven CEE countries—Poland, the Czech Republic, Slovakia, Hungary, Romania, Bulgaria, Lithuania, Latvia, Estonia, Croatia, and Slovenia—over the years 2004–2023. Using panel data models in both static (fixed effects) and dynamic specifications, the study identifies the determinants of renewable energy development and captures inertia effects. The results reveal strong links between energy security and renewable energy deployment, where the pursuit of greater self-sufficiency often slows the expansion of renewable energy. Countries with high greenhouse gas emissions also show limited incentives to accelerate renewable energy integration. Based on the findings, this study proposes policy recommendations aimed at enhancing energy efficiency, strengthening energy security, and supporting the long-term sustainable growth of renewable energy in the region. Full article

This study examines the impact of insurance market development on Carbon dioxide (CO₂) emissions and economic growth in the European Union (EU-15) and Central and Eastern European (CEE-11) countries over the period 1996–2022. Long-run relationships are analysed using panel cointegration tests and Mean Group (MG), Pooled Mean Group (PMG), and Dynamic Fixed Effects (DFE) estimators. At the same time, causal links are assessed through the Granger non-causality test. Results show that in EU-15 countries, insurance development positively affects both environmental quality via reduced CO₂ emissions (elasticities between 0.2078 and 0.2860), and economic growth (0.109–0.829). In CEE-11 countries, a positive effect on growth (0.102–0.205) is confirmed, but no significant environmental impact is observed. The findings highlight the need for policies that support green insurance initiatives and investments in low-carbon transition projects, especially in the CEE-11 region. Full article