Search Results (84)

Which economies are the net economic winners of the climate transition? The intuitive answer—clean, low-emission, resource-rich economies—conflates a natural endowment with a productive capability. Economic-complexity research measures countries’ capability to produce complex green goods, while a separate literature quantifies the macroeconomic cost of climate change; the two have not been integrated. We provide that integration, operationalising a four-condition test for a net winner and collapsing it onto two axes—capability alignment and cost coverage—for the 38 members of the Organisation for Economic Co-operation and Development (OECD), computed from trade, patent, bibliometric, emissions and vulnerability data. On these indicators, the resource-endowment ranking is largely reordered: a robust core of established green-goods exporters (Sweden, Denmark, Germany, the United Kingdom, France, Austria, Italy, Switzerland and Finland) holds the winner positions—a reordering robust to a GDP-based export term and to orthogonalising the axes—while several clean resource economies are, on current indicators, cost-bearers. Scored indicatively on the same axes, China, the dominant green-goods exporter, appears capability-rich but cost-heavy. We separate genuine opportunity capture from merely low costs, show a services reading can rehabilitate goods-thin economies, and stress-test the map with economic-fitness, nestedness and rank-conversion checks. Positions are structural and relative; the policy reading is capability-building, not endowment. Full article

Background: Multiple myeloma (MM) has experienced rapid therapeutic innovation over the past two decades, leading to a substantial increase in clinical trial activity. However, the geographic distribution of these trials and the representation of different economic regions remain poorly characterized. We evaluated the global distribution, growth patterns, and phase-specific trends of MM clinical trials and trial sites across different economic settings. Methods: We conducted a retrospective registry-based analysis interventional MM clinical trials registered on ClinicalTrials.gov between January 2006 and January 2026. Trials were categorized based on the economic classification of participating countries using World Bank income groups and Economic Co-operation and Development (OECD) status. Trial characteristics including phase, geographic distribution, number of participating sites, and site-years were analyzed. Population-adjusted trial density and compound annual growth rates (CAGR) were calculated to assess temporal trends and geographic representation. Results: A total of 845 interventional MM clinical trials were identified during the study period. Trial activity was highest in the United States (337 trials, 39.9%), followed by international trials (271, 32.1%), high-income-OECD countries (129, 15.3%), and upper-middle-income countries (103, 12.2%), while high-income non-OECD countries contributed only a small fraction of trials. Trial activity increased substantially over time across all regions with the highest growth observed in upper-middle-income countries (CAGR 18.5%). The US demonstrated the highest population-adjusted trial density (0.99 per million population) and accounted for the largest number of trial sites and site-years. Phase-specific analyses revealed distinct geographic patterns. Phase 1 trials were predominantly conducted in the US and in international collaborative trials. Phase 3 trials were largely international, although the majority of participating sites remained located in the US and High-income countries that are members of the OECD (HIC-OECD). Conclusions: Over the past two decades, MM clinical trial activity has expanded globally but remains highly concentrated in the United States and high income-OECD countries, particularly with respect to trial sites and population-adjusted trial density. Although upper-middle-income countries have shown the fastest growth in trial activity expanding clinical trial infrastructure and strengthening international collaboration will be essential to promote a more equitable global distribution of MM research. Full article

Studies of quality of life have developed into a major field of academic research that examines the determinants of subjective well-being beyond traditional economic measures. The link between environmental quality and quality of life (also known as subjective well-being, usually measured by happiness) has been studied in different settings. However, the heterogeneity of the levels of development and of the policy settings in OECD countries offer an interesting environment to study this relationship. This study is the first to offer a complete analysis of the environmental quality–quality of life nexus across OECD member nations, with a special focus on developmental differences within the organization. We analyzed 38 OECD nations using panel data methods for the period 2010–2022, and also classify them into developed and developing subgroups according to income thresholds and United Nations development classifications. Our findings suggest a positive and significant correlation between environment quality (as evaluated by the Environmental Performance Index (EPI)) and subjective quality of life in developed OECD countries. However, this association was statistically insignificant in developing OECD countries, where economic concerns like unemployment and inflation have a more prominent influence on quality of life. Specifically, a 10-point increase in the EPI is associated with a 0.24-point increase in quality of life in developed OECD countries—an effect comparable to a one-percentage-point reduction in unemployment. In contrast, no significant association was found for developing OECD countries. These conclusions have substantial implications for the design of differentiated environmental policies in the OECD framework, and add to the broader knowledge of how sustainable development increases well-being at different phases of economic progress. Full article

The study aims to examine trends in the integration of artificial intelligence within the operational processes of tax administrations across the Member States of the European Union. It explores both the functional domains in which AI can be deployed and the institutional, ethical, regulatory and technological constraints that shape its deeper integration. The analysis relies on publicly available data from the Organisation for Economic Co-operation and Development (OECD), complemented by information from other open sources. Based on this dataset, the study develops a Tax AI Index (TAI) to provide a comparative quantitative assessment of the extent to which AI systems have been operationally integrated into EU tax administrations. The index is constructed from four subindices capturing (1) the use of artificial intelligence in communication between tax administrations and economic agents (TAIIS); (2) the integration of artificial intelligence in data management systems (TAIDS); (3) the application of algorithmic systems in tax enforcement, compliance control and administrative decisions (TAIRES); and (4) mechanisms for accountability, transparency and ethical oversight in the use of artificial intelligence (TAIGS). The empirical results indicate significant heterogeneity in the levels of digital transformation among the EU-27 Member States. In most countries, the adoption of artificial intelligence remains at an experimental or pilot stage, suggesting that its broader operational application is still evolving. To place these findings in a broader context, the analysis is complemented by an external measure of digital government development, allowing for a comparative assessment between AI adoption in tax administrations and overall public sector digital maturity. Full article

This study assesses long-term structural changes in greenhouse gas (GHG) intensity across 38 OECD member countries over the period of 2000–2020 using a multidimensional Z-score standardization framework. GHG intensity was measured using three activity-based indicators—emissions per unit of land area, per capita emissions, and emissions per unit GDP—which were then aggregated into a Composite GHG Intensity Score (GHGIS) to facilitate cross-country comparison while accounting for differences in territorial scale, demographic structure, and economic output. The results reveal substantial heterogeneity in both the level and trajectory of composite GHG intensity across OECD member states. Countries such as Sweden (ΔScore = −0.84) and Denmark (ΔScore = −0.67) demonstrated a decrease in GHGIS, reflecting relative improvements in emission efficiency, while Korea (ΔScore = +0.92) and Türkiye (ΔScore = +1.15) recorded positive shifts in relative positioning over the study period. Several countries, including the United Kingdom, Germany, Japan, and Israel, exhibited divergent trends across land-, population-, and GDP-based measures, highlighting the multidimensional nature of national emission structures. These findings demonstrate that relative changes in GHG intensity vary across structural dimensions and cannot be adequately characterized by single-indicator measures alone. While the analysis does not identify causal drivers of observed patterns, the standardized composite framework provides a transparent and replicable tool for examining long-term comparative shifts in multidimensional emission intensity. By applying a consistent methodology across all OECD member countries over two decades, the study contributes to comparative assessments of structural GHG intensity dynamics. Full article

Transport is one of the few major sectors in Europe where greenhouse gas emissions have not declined despite tightening climate policy. Road transport remains dominated by fossil fuels, rising travel demand, and growing freight activity. This paper develops a multi-indicator benchmarking framework to assess the extent to which recent road-transport developments in EU-27 Member States align with structural expectations derived from 1.5 °C and 2 °C mitigation pathways. A multi-indicator framework is developed combining emissions and air-quality pressures, system drivers, and urban accessibility for 2019–2023, using harmonized Eurostat, European Environment Agency, WHO, and OECD data. The analysis follows a dual-track design. First, hierarchical agglomerative clustering identifies national transport–climate profiles. Second, PROMETHEE II is applied to generate an outranking-based performance index and country ranking. Five distinct clusters emerge, ranging from carbon-intensive, car-dependent systems with limited electrification and weak accessibility to “sustainability leaders” characterized by lower emissions, higher shares of low-emission vehicles, and strong public-transport accessibility. PROMETHEE results align with this typology: Nordic and north-western countries rank highest, while several southern and eastern countries show negative net flows linked to persistent car dependence, slower fleet transition, and higher pollution exposure. The results suggest that while several countries demonstrate structural progress toward transport decarbonization, none exhibit a performance profile fully consistent with transition patterns associated with 1.5 °C-aligned mitigation pathways. 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

While Environmental, Social, and Governance (ESG) criteria are extensively utilized for corporate evaluation, empirical evidence regarding sovereign ESG efficiency remains scarce. Existing national sustainability indices often fail to account for how effectively a nation translates its economic resources into ESG outcomes. This study proposes a two-stage Data Envelopment Analysis (DEA) framework to evaluate the efficiency of 38 OECD countries in 2020. The national production process is decomposed into two sequential phases: (1) Economic Efficiency, transforming resource inputs (labor and energy) into intermediate economic outputs (GDP and trade openness), and (2) ESG Transformation Efficiency, converting those intermediate outputs into a composite ESG score. A novel quartile-based classification scheme is further applied to categorize countries into strategic groups for benchmarking. Empirical results reveal significant heterogeneity across the OECD. Estonia, Iceland, and Latvia emerge as “Win–Win” benchmarks, demonstrating high efficiency in both economic production and ESG transformation. Conversely, the United States is classified as a “Laissez-faire” member, exhibiting low performance in both stages relative to its capacity. Additionally, second-stage regression analysis indicates that while higher income is negatively associated with ESG transformation efficiency, government effectiveness acts as a significant positive driver. This research contributes a transparent, reproducible framework for sovereign ESG analytics that relates outcomes directly to economic capacity. It provides policymakers with an interpretable benchmarking tool to identify national sustainability gaps and facilitates actionable insights for enhancing public-sector effectiveness in achieving ESG goals. Full article

This study examines the impact of corporate sustainability practices on firm performance, sustainable development, and value by focusing on ESG performance, sustainability committees, and sustainability reporting. While prior literature documents a general association between ESG performance and firm value, limited attention has been paid to the role of sustainability governance structures and their contribution to sustainable development outcomes, particularly SDGs disclosure, in a multi-country setting. Sustainable development is proxied by an SDGs disclosure index constructed using firm-level disclosures aligned with the 17 Sustainable Development Goals based on LSEG (Refinitiv) ESG item-level data. The analysis controls for firm size, leverage, profitability, industry-, and country-level institutional factors to ensure robust results. Using panel data comprising 36,438 firm-year observations from 6073 companies across OECD member countries from 2017 to 2022, this study employs a fixed-effects model based on diagnostic tests, including the Hausman and Breusch–Pagan tests. The findings revealed that higher ESG performance scores positively influence both sustainable development outcomes and market value. Moreover, the presence of sustainability committees and broader sustainability reporting further strengthens these relationships. These results highlight the importance of institutional sustainability governance in translating ESG commitments into measurable firm values and SDG-related outcomes. This study provides novel empirical evidence on how sustainability-focused governance mechanisms enhance corporate contributions to sustainable development, offering important implications for managers and policymakers as well as directions for future research. Full article

The rule of law, a foundational value of the European Union as enshrined in Article 2 of the Treaty on European Union, faces challenges in implementation due to historical and political factors that have evolved over the past decade, particularly within Member States in the administrative domain. While institutional backsliding in countries like Hungary and Poland has drawn significant political attention, less emphasis has been placed on the role of public administrations in upholding or undermining the rule of law on a day-to-day basis. This paper argues that the sustainability of the rule of law in the EU requires more than legal compliance mechanisms. These alone do not address the underlying administrative and cultural factors necessary for effective implementation. Instead, it requires closer attention to how rule-of-law principles are embedded in the everyday functioning of public administrations. This argument is informed by the authors’ systematic examination of recent EU monitoring practices and administrative reform instruments. Adopting a mixed conceptual-empirical methodology, the paper draws on primary data from EU Rule of Law Reports (2020–2024), the EU Justice Scoreboard, the Recovery and Resilience Facility (RRF), and the Technical Support Instrument (TSI), complemented by relevant OECD/SIGMA indicators. Several structural obstacles emerge from the analysis. These include symbolic compliance, whereby organisations adopt formal structures without corresponding behavioural change; weak institutional leadership that fails to drive reform momentum; and the absence of integrated performance metrics, which hampers meaningful accountability. Fragmented ownership of reform agendas, in turn, breeds inconsistency in implementation. These challenges point to the limitations of a technocratic or legalistic approach to rule-of-law governance. Strategic leadership and organisational flexibility emerge from the evidence as preconditions—not merely facilitators—of genuine internalisation, though the relationship is context-dependent. Digitalisation can reinforce these dynamics, yet its contribution depends on whether it is embedded within broader integrity-oriented reforms. The paper advocates for a shift from externalized compliance mechanisms to a model that emphasizes administrative ownership through specific strategies such as developing integrity-based leadership programs and embedding governance practices that prioritize transparency and accountability. It proposes concrete institutional reforms, including performance-linked conditionalities that tie funding to measurable outcomes, ethical leadership academies to train future leaders, integrity audits to ensure accountability, and administrative benchmarking to set clear standards, as tools to foster autonomous, value-driven public institutions capable of adapting to evolving governance challenges while maintaining core democratic values. Full article

This study investigates the firm- and country-level determinants that influence the extent of financial disclosure under International Financial Reporting Standards (IFRS) in selected Latin American Organisation for Economic Co-operation and Development (OECD) members or countries in the accession process in the period under analysis. Using a sample of 168 publicly listed companies from Argentina, Chile, Colombia, Mexico, and Peru, we construct a self-developed disclosure index based on compliance with International Accounting Standards IAS 16 (Property, Plant and Equipment) and IAS 2 (Inventories). These standards were selected due to their relevance across a broad range of sectors in emerging markets. Drawing on agency theory, stakeholder theory, institutional theory, signaling theory, and legitimacy theory, we examine how internal firm characteristics, macroeconomic performance, and institutional quality impact disclosure practices. Our empirical findings show that firm size, leverage, Gross Domestic Product (GDP) growth, and shareholder protection have a positive and statistically significant influence on the level of IFRS disclosure. However, not all institutional variables are equally effective, highlighting the complex interplay between regulatory environments and corporate reporting behavior in developing countries. The study contributes to the ongoing debate on the applicability and effectiveness of IFRS in emerging economies by offering evidence from underexplored Latin American markets and emphasizing the need for context-specific policy and regulatory interventions. Full article

The relationship between energy consumption and economic growth remains a critical and complex issue in both economic and environmental research. This study investigates the disaggregated effects of primary energy sources on GDP growth across four country groups, including G20, OECD founding members (OECDf), all OECD members (OECDa), and a global subset (World), using data from the Our World in Data and World Bank. While prior studies often rely on aggregate energy use, this study investigates the disaggregated effects of primary energy sources on GDP growth across four country groups: G20, OECD founding members (OECDf), all OECD members (OECDa), and a global subset (World). To assess these relationships, both multiple linear regression and a multilayer feedforward neural network (MLP) model were employed. While the regression model exhibited low explanatory power across all groups, the MLP offered more accurate and flexible predictions by capturing nonlinear dynamics. The model exhibited high predictive performance, with Pearson correlation coefficients ranging from 0.80 to 0.94 and intraclass correlation coefficients exceeding 0.87 across all test datasets. Predictive accuracy was strongest in more homogenous and economically stable groups such as the G20 and OECDf, while wider confidence intervals in the OECDa and World datasets indicated increased variability, likely due to heterogeneous energy structures and data quality limitations—particularly for renewables prior to 2010. These findings highlight the effectiveness of machine learning in modeling complex energy–growth relationships and underscore the importance of accounting for energy source diversity and national context in empirical analyses. Full article

The economic impact of health promotion and disease prevention interventions in ageing populations remains debated, as theories of morbidity compression and expansion offer contrasting views on the relationship between life expectancy and duration of morbidity. A MEDLINE search was conducted to identify studies evaluating the economic impact of health promotion or primary or secondary prevention interventions in OECD countries, over a lifetime time horizon. Among the 29 studies included, 16 reported cost-saving interventions (reducing costs while improving health outcomes), 11 reported cost-effective interventions (health gains at an acceptable additional cost based on an established threshold), and two presented cost-ineffective interventions (costs exceeding the threshold for the health benefits achieved). Interventions targeting diabetes and obesity prevention were cost-saving; cancer screening and fall prevention strategies were cost-effective; whereas interventions targeting rare diseases were cost-ineffective. Regulatory interventions were also cost-saving, while most programme-based interventions were cost-effective. Cost-saving or cost-effective interventions generally adopted broader analytical perspectives, while cost-ineffective ones employed narrower perspectives. The four studies that incorporated competing risks—despite using a narrower healthcare sector perspective—still found the interventions to be cost-saving or cost-effective interventions. None of the included studies assessed whether interventions led to morbidity compression or expansion. Only a few studies considered equity impact; those that did reported improved outcomes for disadvantaged groups, in regulatory and community-based interventions. Further research is needed to quantify morbidity outcomes and enhance methodological consistency, particularly with respect to analytical perspectives, the integration of competing risks, and the inclusion of equity analyses. Full article

Increased life expectancy and reduced fertility mean more generations are living simultaneously but with fewer members. There is also a growing group of older people (aged 80 and over) who need care and support. This impacts mutual support within families and the care provided by public or private care organisations. Across OECD countries, on average, 60% of people aged 65 years and older in 2020 reported receiving support from family members, friends and people in their social network, living inside or outside their household but not care organisations. European research shows that when older persons do not have a partner (anymore), they rely on their adult children for care and support. Given that adult children frequently serve as primary providers of informal care, our study examines their perspectives and motivations to provide future care alongside the demands and expectations of their old parents. Our study adopts a multi-actor interview approach and simultaneously looks at the perspective of 40 adult children and one of their older aged parents (65 years or older). We apply the distributive justice theory to understand how children and parents assess the expectation and fairness of support. This paper contributes to the existing literature about support behaviour between parents and children, expanding insights about the fairness of support, expectations and willingness from a multi-actor approach. Through the lens of child–parent dyads, it is seen that the principles of the distributive justice theory can be perceived as not so strict, and within family relationships, one or more principles can coexist and have underlying mechanisms. This study shows the complexity and often ambivalence of family solidarity by adopting a multi-actor approach. One of the main findings is that contrasting dyads who reject the reciprocal act of support experience feelings of guilt or misunderstanding, resulting in stress and worry. A child may not follow the expected support pattern from the parent due to competing demands such as work or the prioritisation of young children, which can reduce the support given to the older parent. Besides general contrasts and similarities between child–parent support perspectives, the analysis looked into differences regarding gender and legal relationships. Our findings only found gendered care expectations. Future research should entangle this by looking into feelings of closeness, emotional connection and considering the dynamic character of filial support over time, especially between siblings. Full article

Background: The objective was to analyze the budgets invested in prisons by the member states of the Council of Europe (CoE) and the relationships between the global cost, the cost incurred per single inmate, the number of inmates per 100,000 inhabitants (PPR), the gross domestic product (GDP) and per capita GDP. Methods: The data relating to the variables considered for the year 2020 were obtained from the SPACE-I 2021 of the CoE, the World Bank/OECD, and Eurostat. Regression models were used to evaluate the relationships between the PPR and the GDP, the daily cost per prisoner and per capita GDP, and between the PPR and the per capita GDP. A multiple correspondence analysis was performed to evaluate associations between the PPR, EU membership, cost per day, cost rate, geographical area, and inmate gender. Results: The daily expenditure per inmate in northern European countries reaches very high values, respectively: EUR 330.6 (Norway) and EUR 303 (Sweden), while, in the eastern countries, the values drop sharply (EUR 6.50 in Bulgaria and EUR 8.08 in Azerbaijani). The lowest PPR values are found in northern European countries, and the highest in the following countries: Russia, Turkey, Georgia, and Azerbaijan. Conclusions: Countries with a higher GDP per capita tend to have lower prison population rates and to invest larger amounts of funds for prison systems. Full article