Population aging and public health expenditure mainly dedicated to older dependent persons present major challenges for the European Union (EU) Member States, with profound implications for their economies and labor markets. Sustainable economic development relies on a well-balanced workforce of young and older people. As this balance shifts in favor of older people, productivity tends to suffer, on the one hand, and the older group demands more from health services, on the other hand. These requisites tend to manifest differently within developed and developing EU countries. This research aimed to assess population aging impacts on labor market coordinates (employment rate, labor productivity), in the framework of several health dimensions (namely, health government expenditure, hospital services, healthy life years, perceived health) and other economic and social factors. The analytical approach consisted of applying structural equation models, Gaussian graphical models, and macroeconometric models (robust regression and panel corrected standard errors) to EU panel data for the years 1995–2017. The results show significant dissimilarities between developed and developing EU countries, suggesting the need for specific policies and strategies for the labor market integration of older people, jointly with public health expenditure, with implications for EU labor market performance.

This paper investigates new insights into the effect taxation has on the welfare state, using Granger causality analysis, and focusing on both economic growth and human development as welfare components. Moreover, Granger causality allows us to determine whether or not there is a bidirectional causal relationship between taxes, growth, and human development. The analysis is based on a comparative study between part of the Central and Eastern Europe (CEE) countries and the richest European Countries, over the period 1995–2015. Taxes are illustrated by different types of tax revenues to GDP ratio, economic growth is defined by gross domestic product and gross national income, while the human development index (HDI) included in the analysis is a composite measure used to rank countries based on their social and economic development level. Results confirm the fact that taxes support economic growth, but their impact on human development is rather limited. However, in countries with higher HDI, an increase in tax revenues is expected, but over long-term. This study confirms that taxes are an important instrument for governments, and should be used in economic growth. In addition, taxes are closely related to well-being, as citizens from countries with large HDI values are more likely to pay higher taxes over time. Therefore, practical tax reforms should imply an equilibrium between equity and a decent standard of living that supports life expectancy, increased tax revenues, and efficiency.

Artificial intelligence (AI) affects all aspects of a business, significantly contributing to problem-solving and introducing new operational processes within companies. Interest in AI is growing due to its capacities regarding the efficiency of operations, reduced working time, and quality improvements. However, to ensure proper development, businesses should also address the ethical effects generated by AI technologies. This research aims to identify AI’s ethical impact and associated challenges in the business consulting industry and the consultants’ perspective on AI’s future implementation in their specific sector. The methodology is based on the design of a structural equation modelling using data collected through a survey addressed to business consultants. The results highlight that ethical concerns are positively correlated with the identified harmful consequences of AI, such as high implementation costs, the possibility that this technology will lead to job losses, or a lack of human interaction and creativity. The consultants’ perspective on the future aspects of AI’s use in business consulting is negatively impacted by the following ethical outcomes: discrimination, invasions of privacy, denial of individual autonomy, unjustifiable results, and disintegration of social connection.

Given that the European Union is facing complex fiscal challenges arising from recent crises, understanding the impact of fiscal rules, institutional governance, and economic performance is critical. This paper examines the effects of fiscal rules and sustainable development trajectories in the context of effective governance of EU member states, analysing how these rules affect fiscal resilience, which is understood as the government’s ability to maintain discipline, absorb shocks, and sustain growth without undermining macroeconomic stability. This study focuses in particular on 2012 to 2023: a period marked by post-crisis adjustments and institutional consolidation. To carry out the proposed empirical analysis, we apply a panel vector autoregressive (VAR) model to capture the dynamic interdependence between fiscal policy indicators, governance quality, and economic performance, offering a temporal and comparative perspective across countries with varying levels of compliance with fiscal rules. Our results indicate that strong fiscal rules are embedded in robust institutional frameworks that enhance fiscal resilience, stabilise public finances, and foster long-term, sustainable economic growth. This study also demonstrates that effective governance is essential for translating fiscal discipline into improved economic outcomes, providing insights for policymakers and researchers on sustainable development strategies. These findings contribute to the literature by highlighting how institutional quality and fiscal rules interact dynamically, particularly during periods of economic restructuring and regulatory adaptation.

This article proposes an integrative approach to assess the relationship between climate risk exposure and performance of sustainable development within th

Drawing on diffusion of innovation theory, this cross-national study examines the association between cultural dimensions and artificial intelligence (AI) capability on a 78-country sample. This cross-country, worldwide approach enables a more comprehensive understanding of differences in cross-national AI capability, providing cultural explanations for a new perspective on the diffusion of novel technologies. Our main findings reveal that individualism demonstrates the most stable positive association across model specifications. Uncertainty avoidance and motivation towards achievement and success are significant in the baseline SEM, but the results become sensitive after adding country-level control variables. Long-term orientation is significant in some OLS models but not in the baseline SEM. Power distance and indulgence are not supported in the baseline SEM. Results suggest that cultural values should be considered alongside economic, infrastructural, and regional conditions when analyzing cross-national differences in AI capability. Our findings provide a contextual perspective for policymakers and managers that are developing strategies for achieving competitive advantage. Considering the turbulence of the business and social environments, we argue that cultural adaptive capabilities are essential for global competitiveness.