Exploring the link between economic policy uncertainty, financial development, ecological innovation and environmental degradation; evidence from OECD countries.

Governments have been concerned with balancing economic growth and environmental sustainability. Nevertheless, it has been noted that sustainable development is interconnected with economic variables, the institutional framework, and the efficacy of ecological regulatory measures. This study experimentally examines the correlation of economic policy uncertainty (EPU), financial development (FD), ecological innovation (EI), corruption (IQ), foreign direct investment (FDI), trade openness (TR), natural resource rent (NRR), and CO2 emission. We utilized longitudinal data from the Organization for Economic Cooperation and Development (OECD) countries from 2003 to 2021 to address the existing research void. This study used sequential processes of the linear panel data model (SELPDM) and the SYS-GMM approaches in obtaining consistent and efficient results. The inverse U-shaped relationship between FD and environmental degradation (ED) is confirmed by the long-term elasticity estimates generated by the SELPDM method Elasticity estimates for the long-run show that rigorous ecological regulations, higher renewable energy utilization, higher FD and less corruption, an interaction between FD and rigorous ecological regulations all contribute to reduced ED. Its also being observed that both EPU, FDI and trade openness are positively affecting the ED. It confirms the idea of pollution refuge between the OECD countries. The causality test results show that corruption and FD had reciprocal links with ED, while FDI, trade openness and strict environmental policies were also found to have bidirectional linkage with ED. To achieve sustainable development and prevent environmental degradation in the long term, we propose implementing an institutional financial framework and FD in OECD nations. This may be accomplished by focusing on the effectiveness of environmental regulatory laws and creating a conducive institutional environment.

Sociopolitical context and COVID-19 fatality rates in OECD countries: a configurational approach.

BACKGROUND: The effectiveness of crisis response can be influenced by various structural, cultural, and functional aspects within a social system. This study uses a configurational approach to identify combinations of sociopolitical conditions that lead to a high case fatality rate (CFR) of COVID-19 in OECD countries. METHODS: A Fuzzy set qualitative comparative analysis (QCA) is conducted on a sample of 38 OECD countries. The outcome to be explained is high COVID-19 CFR. The five potentially causal conditions are level of democracy, state capacity, trust in government, health expenditure per capita, and the median age of population. A comprehensive QCA robustness test protocol is applied, which includes sensitivity ranges, fit-oriented robustness, and case-oriented robustness tests. RESULTS: None of the causal conditions in both the presence and negation form were found to be necessary for high or low levels of COVID-19 CFR. Two different combinations of sociopolitical conditions were usually sufficient for the occurrence of a high CFR of COVID-19 in OECD countries. Low state capacity and low trust in government are part of both recipes. The entire solution formula covers 84 percent of the outcome.  Some countries have been identified as contradictory cases. The explanations for their COVID-19 CFR require more in-depth case studies. CONCLUSIONS: From a governance perspective, the weakness of government in effectively implementing policies, and the citizens' lack of confidence in their government, combined with other structural conditions, serve as barriers to mounting an effective response to COVID-19. These findings can support the idea that the effects of social determinants of COVID-19 outcomes are interconnected and reinforcing.

Moving toward sustainable goals 7 and 13: An inclusive mechanism to achieve environmental sustainability through digitalization and energy transition in OECD countries.

In line with Sustainable Development Goals (SDGs) 7 and 13, this study proposes a policy framework while considering digitalization as a critical tool in shaping the energy transition process to attain environmental suitability in OECD countries. The study employed multifaceted empirical techniques, including Method of Moment Quantile Regression (MMQR), Fully Modified Ordinary Least Squares (FMOLS), and Dumitrescu and Hurlin (D-H), augmented with robustness tests over the period 2000 to 2021. The results indicate that digitalization augments energy transition and green finance to attain environmental sustainability. However, moving toward higher quantiles (4th, 6th, and 8th), the total impact of energy transition and digitalization is diminished. Besides that, a bidirectional causal relationship was reported running from green finance and digitalization to greenhouse gas (GHG) emissions. This study offers a detailed policy framework while considering SDGs 7 and 13.

Microbiological toxicity tests using standardized ISO/OECD methods-current state and outlook.

Microbial toxicity tests play an important role in various scientific and technical fields including the risk assessment of chemical compounds in the environment. There is a large battery of normalized tests available that have been standardized by ISO (International Organization for Standardization) and OECD (Organization for Economic Co-operation and Development) and which are worldwide accepted and applied. The focus of this review is to provide information on microbial toxicity tests, which are used to elucidate effects in other laboratory tests such as biodegradation tests, and for the prediction of effects in natural and technical aqueous compartments in the environment. The various standardized tests as well as not normalized methods are described and their advantages and disadvantages are discussed. In addition, the sensitivity and usefulness of such tests including a short comparison with other ecotoxicological tests is presented. Moreover, the far-reaching influence of microbial toxicity tests on biodegradation tests is also demonstrated. A new concept of the physiological potential of an inoculum (PPI) consisting of microbial toxicity tests whose results are expressed as a chemical resistance potential (CRP) and the biodegradation adaptation potential (BAP) of an inoculum is described that may be helpful to characterize inocula used for biodegradation tests. KEY POINTS: • Microbial toxicity tests standardized by ISO and OECD have large differences in sensitivity and applicability. • Standardized microbial toxicity tests in combination with biodegradability tests open a new way to characterize inocula for biodegradation tests. • Standardized microbial toxicity tests together with ecotoxicity tests can form a very effective toolbox for the characterization of toxic effects of chemicals.

Health-led growth hypothesis and health financing systems: an econometric synthesis for OECD countries.

Introduction: This study investigates the Health-Led Growth Hypothesis (HLGH) within OECD countries, examining how health expenditures influence economic growth and the role of different health financing systems in this relationship. Methods: Utilizing a comprehensive analysis spanning 2000 to 2019 across 38 OECD countries, advanced econometric methodologies were employed. Both second-generation panel data estimators (Dynamic CCEMG, CS-ARDL, AMG) and first-generation models (Panel ARDL with PMG, FMOLS, DOLS) were utilized to test the hypothesis. Results: The findings confirm the positive impact of health expenditures on economic growth, supporting the HLGH. Significant disparities were observed in the ability of health expenditures to stimulate economic growth across different health financing systems, including the Bismarck, Beveridge, Private Health Insurance, and System in Transition models. Discussion: This study enriches the ongoing academic dialog by providing an exhaustive analysis of the relationship between health expenditures and economic growth. It offers valuable insights for policymakers on how to optimize health investments to enhance economic development, considering the varying effects of different health financing frameworks.

Assessment of performance of the profilers provided in the OECD QSAR toolbox for category formation of chemicals.

Growing restrictions and bans on animal testing for chemical safety assessment under different regulations have led to an increasing use of alternative methods. Read-across is one of the major approaches used for this purpose, which relies on the identification of toxicological hazards of a data-poor or untested (target) chemical from data on other already-tested (source) similar chemicals. This requires the target substance to be first assigned to a group or category of 'similar' chemicals. The 'similarity' may be in terms of structural features alone, or in combination with certain rules that are based on mechanistic and/or toxicological aspects. In this regard, the OECD QSAR toolbox-a major free-access in silico platform-is widely used to derive toxicity predictions for a range of (eco) toxicological endpoints. The Toolbox allows the user to identify a set of similar chemicals (analogues) by computational 'profilers' that incorporate different structural alerts, or a combination of structural alerts and physicochemical and/or toxicokinetic rules relevant to a specific toxicological endpoint. The overall aim of this study was to assess the performance of the in silico profilers provided in the OECD QSAR Toolbox for reliability for identifying chemical analogues for category formation in a number of high-quality databases on mutagenicity, carcinogenicity, and skin sensitisation. The study also aimed to identify the reasons for any limitations in the performance of the profilers, and propose ways to improve their overall accuracy. The results showed that whilst some structural alerts are fit-for-purpose as such within the acceptable limits, others need refinement or a consideration for their possible exclusion from the profiler. Such refinements are imperative for a reliable use of the profilers in read-across and grouping/categorisation for classification, labelling and risk assessment of chemicals.

Inhalation Toxicity Screening of Consumer Products Chemicals using OECD Test Guideline Data-based Machine Learning Models.

This study aimed to screen the inhalation toxicity of chemicals found in consumer products such as air fresheners, fragrances, and anti-fogging agents submitted to K-REACH using machine learning models. We manually curated inhalation toxicity data based on OECD test guideline 403 (Acute inhalation), 412 (Sub-acute inhalation), and 413 (Sub-chronic inhalation) for 1709 chemicals from the OECD eChemPortal database. Machine learning models were trained using ten algorithms, along with four molecular fingerprints (MACCS, Morgan, Topo, RDKit) and molecular descriptors, achieving F1 scores ranging from 51 % to 91 % in test dataset. Leveraging the high-performing models, we conducted a virtual screening of chemicals, initially applying them to data-rich chemicals generally used in occupational settings to determine the prediction uncertainty. Results showed high sensitivity (75 %) but low specificity (23 %), suggesting that our models can contribute to conservative screening of chemicals. Subsequently, we applied the models to consumer product chemicals, identifying 79 as of high concern. Most of the prioritized chemicals lacked GHS classifications related to inhalation toxicity, even though they were predicted to be used in many consumer products. This study highlights a potential regulatory blind spot concerning the inhalation risk of consumer product chemicals while also indicating the potential of artificial intelligence (AI) models to aid in prioritizing chemicals at the screening level.

The effect of economic growth, investment, and unemployment on renewable energy transition: evidence from OECD countries.

In today's world, where the dramatic effects of climate change continue to increase, it is critical to turn from fossil fuels to renewable energy sources to achieve the CO2 emission reduction targets that countries have committed at the Paris Climate Agreement and COP 27 conference. This study analyzes the effects of macroeconomic factors, including economic growth, investments, and unemployment, on the transition to renewable energy in OECD countries. From 1996 to 2020, long-run relationships between variables were examined using advanced econometric methodologies for empirical analysis. For this purpose, panel data analysis, second-generation panel unit root tests, cross-sectional dependence tests, and panel cointegration tests were applied. Economically, in the long run, according to panel CCEMG and AMG estimator, while economic growth enhances the renewable energy transitions, investment does not statistically promote an impact on the renewable energy transitions. Renewable energy transition increases with unemployment. Moreover, the role of the considered variables in the renewable energy transition varies among country-specific. Within the framework of the results obtained, it has been proven that before determining policies for renewable energy transformation, it is necessary to do the necessary groundwork in the economy to increase economic growth and investments and reduce unemployment.

Engaging primary care professionals in OECD's international PaRIS survey: a documentary analysis.

Healthcare professionals have first-hand experience with patients in clinical practice and the dynamics in the healthcare system, which can be of great value in the design, implementation, data analysis and dissemination of research study results. Primary care professionals are particularly important as they provide first contact, accessible, coordinated, comprehensive and continuous people-focused care. However, in-depth examination of the engagement of health professionals in health system research and planning activities-how professionals are engaged and how this varies across national contexts- is limited, particularly in international initiatives. There is a need to identify gaps in the planning of engagement activities to inform the design and successful implementation of future international efforts to improve the responsiveness of health systems to the changing needs of patients and professionals. The aim of this study was to explore how primary care professionals were engaged in the design and implementation plans of an international health policy study led by the Organisation for Economic Co-operation and Development (OECD). The OECD's international PaRIS survey measures and disseminates information on patient-reported outcome and experience measures (PROMs and PREMs) of people living with chronic conditions who are managed in primary care. A documentary analysis of 17 written national implementation plans (country roadmaps) was conducted between January and June 2023. Two reviewers independently performed the screening and data abstraction and resolved disagreements by discussion. We reported the intended target primary care professionals, phase of the study, channel of engagement, level of engagement, and purpose of engagement. All 17 countries aimed to engage primary care professionals in the execution plans for the international PaRIS survey. While organisations of primary care professionals, particularly of family doctors, were the most commonly targeted group, variation was found in the timing of engagement activities during the different phases of the study and in the level of engagement, ranging from co-development (half of the countries co-developed the survey together with primary care professionals) to one-off consultations with whom. International guidance facilitated the participation of primary care professionals. Continuous collaborative efforts at the international and national levels can foster a culture of engagement with primary care organisations and individual professionals and enhance meaningful engagement of primary care professionals.

Confirmation of the steroid hormone receptor-mediated endocrine disrupting potential of fenvalerate following the Organization for Economic Cooperation and Development test guidelines, and its estrogen receptor α-dependent effects on lipid accumulation.

In this study, we focused on confirming the steroid hormone receptor-mediated endocrine-disrupting potential of the pyrethroid insecticide fenvalerate and unraveling the underlying mechanisms. Therefore, we assessed estrogen receptor-α (ERα)- and androgen receptor (AR)-mediated responses in vitro using a hormone response element-dependent transcription activation assay with a luciferase reporter following the Organization for Economic Cooperation and Development (OECD) test guidelines. We observed that fenvalerate acted as estrogen by inducing the translocation of cytosolic ERα to the nucleus via ERα dimerization, whereas it exhibited no AR-mediated androgen response element-dependent luciferase activity. Furthermore, we confirmed that fenvalerate-induced activation of ERα caused lipid accumulation, promoted in a fenvalerate-dependent manner in 3 T3-L1 adipocytes. Moreover, fenvalerate-induced lipid accumulation was inhibited in the presence of an ERα-selective antagonist, whereas it remained unaffected in the presence of a glucocorticoid receptor (GR)-specific inhibitor. In addition, fenvalerate was found to stimulate the expression of transcription factors that promote lipid accumulation in 3 T1-L1 adipocytes, and co-treatment with an ERα-selective antagonist suppressed adipogenic/ lipogenic transcription factors at both mRNA and protein levels. These findings suggest that fenvalerate exposure may lead to lipid accumulation by interfering with ERα activation-dependent processes, thus causing an ERα-mediated endocrine-disrupting effect.

The scientific standing of nations and its relationship with economic competitiveness.

In the current knowledge-based economy, the abilities of the national research system are a key driver of the country's competitiveness and socio-economic development. This paper compares the scientific standing of the OECD countries and eight other relevant economies. We use a bibliometric indicator of research performance, applied first at the individual level. This approach avoids the distortions of the aggregate-level analyses extant in literature and practice, which overlook the different publication intensities across research fields. We find a strong correlation between research performance and the economic competitiveness of nations and a moderate but significant correlation between research performance and the propensity to spend on research.

Data analysis plan of the OECD PaRIS survey: leveraging a multi-level approach to analyse data collected from people living with chronic conditions and their primary care practices in 20 countries.

OBJECTIVE: In view of the increasing number of people with (multiple) chronic conditions, the Organisation for Economic Co-operation and Development (OECD) initiated the International Survey of People Living with Chronic Conditions (PaRIS survey), which aims to provide insight in patient-reported outcomes and experiences of chronic care provided by primary care practices to support policy development. The objective of this research note is to describe the structure of the data, collected in the PaRIS survey and how the data will be analysed in a multilevel approach for cross-country comparison. ANALYSIS PLAN: The data structure of the PaRIS survey represents three levels: countries/health systems, primary care practices and patients. Multilevel analysis is used because of its accuracy in estimating country-level outcomes, its flexibility in modelling relationships, and its opportunities in connecting to relevant policy questions. Country-level outcomes will be estimated to facilitate cross-country comparison and (future) within-country comparison over time. Characteristics of patients that potentially explain variation in patient-reported outcomes and experiences can be linked to primary care practice and country/health system characteristics. This makes it possible to address policy-relevant questions relating, e.g., to the impact of chronic care management on patients with a specific chronic condition.

Review of dose setting for the extended one-generation reproductive toxicity studies (OECD TG 443): Considerations on ECHA's dose level selection recommendations.

During 2020, The European Chemicals Agency (ECHA) began evaluating the OECD Test Guideline 443: Extended One Generation Reproductive Toxicity Study (EOGRTS) to analyze specific aspects related to study design, conduct and toxicological findings. A significant outcome of this ECHA evaluation focused on adequate dose level selection. Subsequently, ECHA published recommendations for DART studies, however, these recommendations seemingly do not align with the principles of the 3Rs, animal welfare or human safety goals, specifically, regarding three aspects. First, the requirement to segregate testing for sexual function and fertility from the ability to produce normally developing offspring increases the risk of inadequate identification of postnatal hazards for development and sexual function and fertility, therefore failing human health protection goals. Second, the current ECHA high-dose level setting recommendations for EOGRTS exceed the MTD (Maximum Tolerated Dose), and therefore compromise the interpretation of the biological response relative to the intrinsic effect of the chemical under evaluation. Third, the combination of these aspects will result in an increase in the number of animals tested, increasing animal welfare concerns. This paper reflects the consensus of subject matter experts, professional, and scientific societies who have authored and signed on to this statement. The signatories encourage ECHA to adopt a revised science-driven approach to the dose selection criteria that strikes a balance between regulatory vigilance and scientific pragmatism.

The role of green growth and institutional quality on environmental sustainability: A comparison of CO2 emissions, ecological footprint and inverted load capacity factor for OECD countries.

Green growth is of great importance in terms of solving environmental problems and achieving sustainable development goals. However, the existing literature has not investigated how green growth affects environmental degradation and environmental sustainability variables. In light of this gap, this study aims to analyse the impact of green growth and institutional quality on CO2 emissions, ecological footprint and inverse load capacity factor in OECD countries by constructing three different models. The results of the analysis indicate that (i) green growth exerts a significant mitigating and differentiating effect on CO2, ecological footprint and inverted load capacity factor in the long run. This is evidenced by a 1% increase in green growth reducing CO2, ecological footprint and inverted load capacity factor by 0.563%, 0.373% and 0.198%, respectively. (i) The impact of green growth on CO2 and inverted load capacity factor in the long run is negative and statistically significant; (ii) the impact of green growth on CO2 and inverted load capacity factor in the short run is negative and statistically significant; (iii) the impact of institutional quality on deterioration is positive and significant in the long run; (iv) the impact of population on deterioration and sustainability is significant and mixed. The findings indicate that decision-makers in OECD countries should review green energy policies when setting the sustainable development goals, as environmental sustainability is more challenging than reducing pollution.

Comparison of two biological systems used for phototoxicity testing: Cellular and tissue.

The OECD has approved two similar methods for testing the phototoxic potency of chemicals. The first method, OECD 432, is based on the cytotoxicity properties of materials to the mouse 3T3 (clone A31) cell line (fibroblasts) after exposure to light. The second method, OECD 498, is based on the same properties but using reconstructed human epidermis - EpiDerm (stratified keratinocytes). The aim of this study was to compare these two methods using statistical tests (specificity, sensitivity, negative predictive value, positive predictive value and accuracy) and non-statistical characteristics (e.g. price and experimental duration, amount of material, level of complications, cell type, irradiation dose). Both tests were performed according to the relevant guidelines using the same 11 control substances. Higher performance values were observed for OECD 432 in both phototoxic and non-phototoxic classifications. The accuracy of OECD 432 was 90.9%, while that of OECD 498 was 72.7%. OECD 432 was also shorter and less expensive. On the other hand, OECD 498 was less complicated, and used human cells with stratum corneum, which better reflects real skin. This method can also be used with oily substances that are poorly soluble in water. However, both methods are important for testing the phototoxic properties of materials, and can be used alone or in a tiered strategy.

A breakthrough in macro-scale circularity and eco-efficiency assessment: A case study of OECD countries.

Countries' circularity performance and CO2 emissions should be addressed as a part of the UN net-zero Sustainable Development Goals (SDGs) 2030. Macro-scale circularity assessment is regarded as a helpful tool for tracking and adjusting nations' progress toward the sustainable Circular Economy (CE) and SDGs. However, practical frameworks are required to address the shortage of real-world circularity assessments at the macro level. The establishment of CE benchmarks is also essential to enhance circularity in less sustainable nations. Further, monitoring the extent to which nations' circularity activities are sustainable and in line with the SDGs is an area that lacks sufficient practical research. The current research aims to develop a macro-level framework and benchmarks for national sustainable circularity assessments. Methodologically, we develop a dynamic network data envelopment analysis (DN-DEA) framework for multi-period circularity and eco-efficiency assessment of OECD countries. To do so, we incorporate dual-role and bidirectional carryovers in our macro-scale framework. From a managerial perspective, we conduct a novel comparative analysis of the circularity and eco-efficiency of the nations to monitor macro-scale sustainable CE trends. Research results reveal a significant performance disparity in circularity, eco-efficiency, and benchmarking patterns. Accordingly, circularly efficient nations cannot necessarily be considered eco-friendly and sustainable. Although Germany (as a superior circular nation) can be regarded as a circularity benchmark, it cannot serve as an eco-efficiency benchmark for less eco-efficient nations. Hence, the new method allows decision-makers not only to identify the nations' circularity outcome but also to distinguish sustainable nations from less sustainable ones. This, on the one hand, provides policymakers with a multi-faceted sustainability analysis, beyond the previous unidimensional analysis. On the other, it proposes improvement benchmarks for planning and regulating nations' future circularity in line with real sustainability goals. The capabilities of our innovative approach are demonstrated in the case study.

An exploratory diagnosis and proposed index of technological change and sustainable industrial development in selected OECD member countries.

Industrial development has resulted in economic progress and the well-being of the society. At the same time, the impact of the industrial complex has disrupted the environment and resulted in climate change related impacts. The purpose of this study was to carry out an exploratory diagnosis and propose a technological change and sustainable industrial development index at the international level. Therefore, a network study was conducted to identify the main nodes and thematic clusters associated with cleaner production. A patent analysis was applied to technologies related three selected/relevant areas of cleaner production, i.e. carbon footprint, wastewater treatment, and renewable energy. Additionally, based on factor analysis, an index including different indicators related to scientific, technological, economic, environmental, and social issues was developed and proposed in this study.

Influence of environmental technologies and income on the environment in OECD member countries transitioning to low carbon societies.

This paper focuses on examining the effects of per capita environmental technology development on the load capacity factor (LCF) within the context of OECD member countries during the period spanning 1990 to 2021. To investigate these relationships, we employ the AMG estimator and FM-LS estimator. Additionally, we explore the validity of the load capacity curve for these countries and estimate the inflection points in the income per capita-environmental sustainability relationship. Our findings lead us to the conclusion that there is no significant impact of environmental technologies on environmental sustainability. Furthermore, we observe a negative influence on the development of environmental technologies, which can be attributed to the negative externalities associated with their implementation and the lack of societal adoption. Moreover, our estimations reveal an inflection point at $45,251.90 in terms of GDP per capita, beyond which the sustainability condition of the studied countries improves.

Decarbonizing energy: Evaluating fossil fuel displacement by renewables in OECD countries.

Energy transition to greener systems has been a focal point in climate policy agendas across countries as the negative environmental impacts of fossil fuel technologies have become more evident Displacing fossil fuels with clean energy alternatives in this regard is essential for meeting global climate objectives. In this context, the study analyzes the role of disaggregated renewable energy sources on fossil fuel displacement in 36 Organisation for Economic Cooperation and Development (OECD) countries in the period 2000-2020. The findings demonstrate a discernible trend in the displacement of fossil fuels by various forms of renewable energy sources. It is found that to effectively displace 1% of fossil fuels, it is necessary to achieve an average increase of 1.15% in renewable generation capacity. In addition, a one-to-one displacement of fossil fuels occurs with hydropower, demonstrating its higher level of competitiveness and effectiveness in displacing fossil fuels. Moreover, there is a partial displacement of fossil fuels by solar and wind power. These findings suggest that renewable energy sources are progressively advancing towards effectively displacing fossil fuels.