Organisation For Economic Co-operation And Development Countries Research Articles

Relationship Between High Organ Donation Rates and COVID-19 Vaccination Coverage.

BackgroundBesides attaining the goal of self-protection, the rollout of vaccination programs also encourages altruistic practices. Therefore, the progress in vaccination against coronavirus disease (COVID-19) in each country may be related to the prevalence of cooperative and altruistic practices in health care. I hypothesized that in countries where organ donation is popular, individuals would exhibit a greater tendency to become vaccinated.MethodsI examined the correlation between the level of progress of COVID-19 vaccination and the status of organ donation just before the pandemic in Organization for Economic Co-operation and Development (OECD) countries. Publicly available statistical information on the progress of immunization and organ donation was used. Univariate and multivariate analyses were conducted to examine common drivers of immunization and organ donation.ResultsIn OECD countries, progress in vaccination was found to be significantly correlated with the status of organ donation in each country. This relationship was stable after the summer (September 1: Pearson's r = 0.442, October 1: 0.457, November 1: 0.366). The results of the univariate and multivariate analyses showed that high trust in medical professionals was significantly correlated with both the “progress of vaccinations” and “organ donations.”ConclusionsProgress in COVID-19 vaccination and organ donation status for transplantation have similar trends, and both may involve people's trust in medical personnel and public health systems. Similar to the efforts to obtain organ donors, governments around the world need to take further steps to ensure that vaccination programs are supported by people's trust and sense of solidarity.

A forecasting tool for predicting asthma related emergency department visits and hospitalizations using heterogeneous data sources

New Zealand (NZ) is one of the countries with the highest prevalence and mortality rate due to asthma. Organisation for Economic Co-operation and Development (OECD) statistics [3] indicate NZ has one of the highest hospital admission rates for asthma of OECD countries. According to recent records [1], on average 77 New Zealanders each year lost their battle to asthma. Furthermore, the cost burden of asthma to the NZ economy has not improved over the years [2]. Not much work has been accomplished in the direction of population health forecasting for asthma in NZ. The aim of this study is to develop a prediction model for anticipating asthma-related hospitalisations in Auckland, NZ while exploiting diverse heterogeneous data sources. These sources accounts for triggers that exacerbate asthma conditions like meteorological and air quality factors plus the social media resource accessed through Google search trends. The research work is divided into two parts; in the first phase I analysed the relationship between trigger parameters and asthma using the Pearson Correlation Coefficient. Subsequently, in part two a comparative examination has been conducted based upon the prediction models developed using different machine learning techniques on the continuous data of 1097 days. The experimental evaluation shows that the best forecasting tool could predict asthma-related hospitalisation with an accuracy of 78.87% while the precision and recall for the model were 79.80% and 78.87%. The outcome achieved from implementing such a model would be beneficial for public health surveillance, thereby helping in more efficient and timely healthcare resource deployment.

Exploring the role of export product quality and economic complexity for economic progress of developed economies: Does institutional quality matter?

It is important to unearth the role of structural change factors for sustainable growth in developed economies. Economic complexity, export product quality, and institutional indicators represent the overall structural change and transformation in an economy. This paper probed the influence of export product quality and economics of complexity on economic growth for 28 OECD (Organization for Economic Co-operation and Development) countries using the data from 1990 to 2019. In doing so, the study employs three-panel data econometric models to investigate the role of economic complexity, export quality, and institutional quality on economic development. The paper performs the empirical tests, including the cross-sectional related dependency methods and cointegration techniques. As per the results emerging from fully modified OLS (FMOLS) and dynamic OLS (DOLS) estimation, export quality and financial development positively and significantly strongly impact growth in the long run. The empirical conclusions report detailed discussion on sustainable growth and discuss novel implications concerning product quality and institutional performance. The conclusions stress the practical implications for sustainable economic growth of OECD economies.

Promoting water conservation habits in shower use: review of water utility websites in OECD cities

ABSTRACT Personal hygiene accounts for 30–45% of water use in households in Organisation for Economic Co-operation and Development (OECD) countries, and of this water, the greatest proportion is used for showering. More efficient showers can be achieved by using efficient technologies – mainly efficient showerheads – as well as through the adoption of sustainable habits, such as reducing shower frequency and duration. A review of the websites of water utilities in cities of OECD countries shows little effort to promote water-saving shower habits. Addressing this shortcoming would improve the sustainability of water use, compared with the current focus on efficient technologies.

Preferred policy responses to technological change: Survey evidence from OECD countries

AbstractHow do the labor market risks associated with technological change affect policy preferences? We argue that higher perceptions of technology-related risks should increase support for compensation and decrease support for social investment. We expect the opposite effect for individuals who use technology constantly at work, have a university degree and earn higher incomes. However, as the perception of technology-related employment risks in the latter group of individuals increases, so does their preference for compensatory and protective policy solutions to technological change. Our expectations are confirmed by novel data from a survey of 24 diverse Organisation for Economic Co-operation and Development (OECD) countries that includes specifically designed questions on technology-related risks and policy preferences. The results suggest that technology-related risks not only correlate with certain demographic and occupational characteristics, but also cross-cut them. Thus, technology-related risks might not only become a source of new cleavages between the losers and winners of technological change, but also the basis for new cross-class coalitions.

Wavelet and Fourier augmented convergence analysis of methane emissions in more than two centuries: implications for environmental management in OECD countries.

Addressing the challenges posed by pollutants is necessary to achieve Sustainable Development Goal 13, which involves climate change mitigation and enhancement of environmental quality. The convergence analysis of a pollutant provides information that can be useful to how to handle that pollutant across countries or regions, and previous studies mainly focused on carbon emission. However, the second most significant greenhouse gas, methane emission, was mostly ignored. The primary objective of this research is to investigate whether stochastic convergence of methane emissions is valid in 37 OECD (Organisation for Economic Co-operation and Development) countries using a dataset of more than two centuries. The results obtained by using a set of traditional unit root tests and a newly proposed wavelet unit root test with a Fourier function provide overwhelming evidence for these countries' divergence of methane emissions. The policy implications resulting from the empirical findings for environmental management are discussed in the relevant sections of the paper.

Trade liberalization, domestic reforms, and income inequality: Evidence from Taiwan

AbstractThis paper estimates the effects of trade liberalization on household income inequality and investigates whether trade liberalization or domestic reforms are the main factors influencing increasing inequality in Taiwan, a middle‐income open economy. We construct an empirical model by decomposing the sources of household disposable income in the quintile ratio and separate trade partners into OECD (Organisation for Economic Co‐operation and Development) and non‐OECD countries. Using time‐series data to estimate the long‐run effect, we find that net exports to OECD countries increase inequality, whereas net exports to non‐OECD countries insignificantly decrease inequality. This finding diverges from the prediction based on the Stolper–Samuelson theorem. Overall, trade liberalization increases income inequality, and the effect is mainly attributed to net exports to OECD countries. Moreover, we provide evidence that domestic reforms, particularly technological progress in favor of skilled labor and industrial structural change, rather than trade liberalization, are the main driving forces of income inequality.

Exploring the effects of import diversification on energy efficiency: Evidence from the OECD economies

This study aims to unveil the heterogeneous impacts of import product diversification and institutional factors for achieving energy efficiency in Organization for Economic Co-operation and Development (OECD) countries. In doing so, the study employs robust econometric techniques such as Fully modified ordinary least squares (FMOLS) co-integration, pooled Ordinary Least Squares (OLS), Feasible Generalized Least Squares (FGLS), pool mean group regressions, fixed effects, and random effects for panel data from 1990 to 2015 for selected OECD countries. The detailed empirical outcomes suggest that import product diversification is conducive to reducing the energy and carbon intensity (improvement in energy efficiency) in OECD countries. The empirical conclusions provide various guidelines to achieve cleaner and greener growth and align with various Sustainable Development Goals (SDG 7: Affordable and clean energy, SDG 9: Industry, innovation, and infrastructure, and SDG 13: Climate action) of OECD countries. The paper elaborates fruitful policy suggestions regarding the diversification of imports and energy use-carbon emission-nexus for the OECD member nations. Based on the findings, policymakers and environmental scientists should strengthen the trade-energy and import portfolio policies to attain energy efficiency.

International experience in financing self-employed pensions

The rapid development of modern self-employment, the massive transition from employment to self-employment and vice versa is a challenge for traditional pension systems. The Organisation for Economic Co-operation and Development (OECD) responded by adopting compulsory state pension schemes for the self-employed shared with employees. Russia following global trends with a small-time lag, unlike others, provides an unconditional guarantee of social pensions. It is all the more important to study the advanced international experience in attracting the self-employed to pension insurance. This is the aim of the study. Research tasks are as follows: to identify different approaches to organizing pension insurance for the self-employed across OECD countries, to examine the mechanisms and factors arising, and to evaluate their performance. The research method is cluster analysis of the generated self-employed pensions parametric indicators database according to OECD data (2019–2021) (18 indicators as part of clustering, architecture, finance, performance factors) for 28 countries. The study identifies 3 clusters (approaches) to the organization of pension provision for the self-employed: 1 — employee-like mandatory contributions to state pension schemes; 2 — mandatory contributions with advantages; 3 — voluntary pension contributions with advantages. In general, none of the approaches can be called “the best”. The effectiveness of pension decreases with any form of low-income self-employed inclusion in income-based pension schemes, as well as dependent self-employment. The author concludes that for Russia alternative options for self-employed pensions are quasi-mandatory pension insurance, self-employed employee-like participation in voluntary funded pension schemes only, state co-financing, practical training in financial literacy without going into the depth of financial knowledge. Discussion for further research is a detailed study of the application of the results into self-employed pension insurance practice in Russia.

Lifestyle interventions for type 2 diabetes prevention in children and adolescents of African descent in OECD countries: a systematic review protocol.

The objectives of this review are to investigate the effectiveness of lifestyle interventions for type 2 diabetes prevention in children and adolescents of African descent in the Organisation for Economic Co-operation and Development (OECD) member countries and to attempt to ascertain what aspects of these interventions are most effective in this population. Lifestyle interventions have been shown to prevent or delay the onset of type 2 diabetes;however, the extent to which these interventions are effective for children and adolescents of African descent is not well established. The increasing type 2 diabetes incidence and prevalence in children and adolescents of African descent in some OECD member countries underscores the need to pool available evidence to ascertain the effectiveness of lifestyle interventions for type 2 diabetes prevention in this population. Lifestyle interventions to be considered include individual-or group-based lifestyle or behavioral modification interventions aimed at preventing or delaying the onset of type 2 diabetes in children and adolescents of African descent aged 19 years and under in OECD countries. Randomized controlled trials and non-randomized studies that assess the effectiveness of lifestyle interventions for type 2 diabetes prevention will be considered. The databases to be searched include MEDLINE, Embase, CINAHL, PsycINFO, Social Services Abstracts, Cochrane Central Register of Controlled Trials, and ProQuest Dissertations and Theses Global databases. There will be no language or date limits placed on the search. Two independent reviewers will conduct the title, abstract, and full-text screening, followed by critical appraisal and data extraction. Data will undergo meta-analysis where appropriate, and will otherwise be presented as narrative synthesis. PROSPERO CRD42021247267.

Environmental regulation stringency and foreign direct investment

AbstractThe effects of environmental regulation stringency on foreign direct investment are noted in the existing literature. However, current literature appears to have ignored the feedback effects from foreign investment to environmental regulation stringency. This feedback effect plays a significant role in designing policies to attract foreign investment to support economic growth and improve environmental quality concurrently. This study examines the feedback effects from foreign investment on environmental regulation stringency using the Organisation for Economic Co‐operation and Development (OECD) newly developed Environmental Policy Stringency Index for 26 OECD countries for almost three decades since 1990. The key findings from this study to the existing literature are threefold. First, we find that foreign investment affects the environment regulation stringency via lobbying. However, when the number of legislative units in the host countries is large enough, the lobbying effect diminishes, particularly for the larger‐gross domestic product (GDP) and the higher‐per‐capita‐income OECD countries. Second, our empirical results confirm the U‐shaped relationship between manufacturing activities and the environmental regulation stringency. Third, the bilateral relationship between environmental regulation stringency and foreign investment is found, indicating that ignoring foreign investment in designing environmental policies is problematic. Finally, policy implications have emerged based on the findings from this study.

Evaluation of the Effects of Urbanization on Carbon Emissions: The Transformative Role of Government Effectiveness

With the rapid economic growth and urbanization, the environment is continuously degrading, and the problem of global warming caused by increasing carbon emissions has been highly highlighted. Utilizing panel data of the Organization for Economic Cooperation and Development (OECD) countries from 1996 to 2018, this study aims to evaluate the effects of urbanization on carbon emissions and explore the transformative role of government effectiveness. To produce more accurate estimates, the approach of the feasible generalized least squares is employed, and the heteroskedastic and correlated errors are considered due to the significant differences among the OECD countries. The results suggest an inverted U-shaped nexus between urbanization and carbon emissions, and for most OECD countries, the enhancement of urbanization is positive to increase carbon emissions. Besides, urbanization positively contributes to government effectiveness. As a transformator, government effectiveness negatively contributes to the effects of urbanization on increasing carbon emissions. That is, with the advancement of government effectiveness, the positive role of urbanization in emitting more carbon dioxide will be transformed to help the OECD countries mitigate carbon emissions. Hence, the findings are informative for policymakers to take effective measures to accelerate the process of urbanization and formulate active measures to improve government effectiveness, thereby decreasing carbon emissions and further mitigating global warming.

Between wellness and fairness: The mediating role of autonomous human choice and social capital in OECD countries.

Theoretical arguments and empirical evidence have been provided in the literature for the role of fairness in wellness. In this paper, we explore the role of two potential mediating variables: autonomous human choice and social capital. Using aggregated panel data across countries belonging to the Organisation for Economic Co‐operation and Development (OECD), we compared the OECD Social Justice Index (SJI) with data on life satisfaction to test whether fairness has direct and indirect effects on wellness. Results from a series of Manifest Path Analyses with time as fixed effect, support the hypothesis that the OECD SJI is directly linked to country‐level life satisfaction, additionally revealing that its indirect effect operates primarily through people's autonomous choices in life and their country's level of social capital. Our results contribute to two distinct bodies of knowledge. With respect to community psychology, the findings offer empirical evidence for the synergistic effect of personal, relational, and collective factors in well‐being. With respect to the impact of economic inequality on wellness, we extend the literature by using social justice as a more comprehensive measure. Limitations and recommendations for future studies are discussed.

Corruption, foreign aid, and international trade

AbstractCorruption has varying effects on international trade flows. Through the lenses of the institutional and transaction costs theories, we propose a novel institutional analysis of foreign aid as a formal institution that moderates the negative impact of corruption on international trade. We investigate this framework using a sample of the imports and exports of 30 Organization for Economic Co‐operation and Development (OECD) member countries and their 150 trading partners from 1995 to 2018. We analyze two main types of bilateral foreign aid within this framework: official development assistance and aid for trade. We present three main findings. First, the trading partners' corruption has a negative impact on OECD bilateral imports and exports. Second, both forms of foreign aid moderate the negative effect of the trading partners' corruption on OECD countries' exports. These findings confirm that OECD member countries are willing to export to very corrupt countries. Third, official development assistance does not moderate the relationship between corruption and imports, meaning that OECD countries do not import from corrupt locations. However, aid for trade still moderates the negative impact of corruption on OCED countries' imports. Overall, we confirm that foreign aid negatively moderates the adverse effect of corruption on exports but not on imports. Thus, foreign aid as a formal institution deserves more attention from OECD policymakers and managers of MNEs as a mechanism for reducing corruption and boosting international trade.

Sustainable Blueprint: Do Stock Investors Increase Emissions?

The lack of agreement on climate policies among stock-market investors has raised significant concerns about GHG-emission levels, likely reflected in asset pricing. This study uses annual data sourced from the World Bank from 1980 to 2019 to examine whether stock-market investments increase GHG emissions in Organization for Economic Co-operation and Development (OECD) countries. The study employs the panel-standard fixed effects and the Arellano-Bover and Blundell–Bond dynamic methods and shows that stock-investor confidence is critical for emissions reduction in OECD countries. Additionally, the results highlight the potential mechanism through which the stock market can influence emissions in the OECD countries. We recommend that investors re-evaluate the emissions criteria before selecting long stock portfolios. Additionally, there is a need for policymakers to promote the preservation of environmental quality by carefully redesigning policies for stock-market investments.

Solid Waste Analysis Using Open-Access Socio-Economic Data

Nowadays, problems related with solid waste management become a challenge for most countries due to the rising generation of waste, related environmental issues, and associated costs of produced wastes. Effective waste management systems at different geographic levels require accurate forecasting of future waste generation. In this work, we investigate how open-access data, such as provided from the Organisation for Economic Co-operation and Development (OECD), can be used for the analysis of waste data. The main idea of this study is finding the links between socio-economic and demographic variables that determine the amounts of types of solid wastes produced by countries. This would make it possible to accurately predict at the country level the waste production and determine the requirements for the development of effective waste management strategies. In particular, we use several machine learning data regression (Support Vector, Gradient Boosting, and Random Forest) and clustering models (k-means) to respectively predict waste production for OECD countries along years and also to perform clustering among these countries according to similar characteristics. The main contributions of our work are: (1) waste analysis at the OECD country-level to compare and cluster countries according to similar waste features predicted; (2) the detection of most relevant features for prediction models; and (3) the comparison between several regression models with respect to accuracy in predictions. Coefficient of determination (R2), Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE), respectively, are used as indices of the efficiency of the developed models. Our experiments have shown that some data pre-processings on the OECD data are an essential stage required in the analysis; that Random Forest Regressor (RFR) produced the best prediction results over the dataset; and that these results are highly influenced by the quality of available socio-economic data. In particular, the RFR model exhibited the highest accuracy in predictions for most waste types. For example, for “municipal” waste, it produced, respectively, R2 = 1 and MAPE=4.31 global error values for the test set; and for “household” waste, it, respectively, produced R2 = 1 and MAPE=3.03. Our results indicate that the considered models (and specially RFR) all are effective in predicting the amount of produced wastes derived from input data for the considered countries.

Strategic Environmental Assessment of Land Transportation: An Application of DEA with Undesirable Output Approach

The efficiency of land transportation contributes significantly to determining a country’s economic and environmental sustainability. The examination of land transportation efficiency encompasses performance and environmental efficiency to improve system performance and citizen satisfaction. Evaluating the efficiency of land transportation is a vital process to improve operation efficiency, decrease investment costs, save energy, reduce greenhouse gas emissions, and enhance environmental protection. There are many methods for measuring transportation efficiency, but few papers have used the input and output data to evaluate the ecological efficiency of land transportation. This research focuses on evaluating the environmental efficiency for land transportation by using the data envelopment analysis (DEA) method with undesirable output to handle unwanted data. By using this, the paper aims to measure the performance of land transportation in 25 Organization for Economic Co-operation and Development (OECD) countries in the period of 2015–2019, considered as 25 decision-making units (DMUs) in the model. For identifying the ranking of DMUs, four inputs (infrastructure investment and maintenance, length of transport routes, labor force, and energy consumption) are considered. At the same time, the outputs consist of freight transport and passenger transport as desirable outputs and carbon dioxide emission (CO2) as an undesirable output. The proposed model effectively determines the environment-efficient DMUs in a very time-efficient manner. Managerial implications of the study provide further insight into the investigated measures and offer recommendations for improving the environmental efficiency of land transportation in OECD countries.

Technological innovation and renewable energy consumption: a middle path for trading off financial risk and carbon emissions

Global carbon dioxide emissions are on an upward trend, but there have been declines in carbon emissions during financial crises. The possible negative correlation between financial risks and carbon emissions will cause policy makers to face a dilemma when formulating carbon neutral policies. Therefore, it is crucial to find a middle path that can control financial risks while addressing carbon emission reduction, which can help achieve the dual goals of stable economic development and environmental protection. This empirical research studies the linear and non-linear relationships between financial risk and carbon emissions in Organization for Economic Cooperation and Development (OECD) countries, using a panel fixed effects model and a panel threshold regression model. The study further investigates the role of technological innovation and renewable energy consumption in the risk-emission relationship. Key results were as follows. First, the fixed effects model results verify that financial risk has a negative impact on carbon emissions. This relationship may be influenced by technological innovation and energy transition. Second, there is a significant single-threshold effect between financial risk and carbon emissions. When research and development (R&D)expenditures and renewable energy consumption exceed the threshold, there is a significant decrease in the contribution of financial stability to carbon emissions. Third, the slow growth of technological innovation in OECD countries compared to renewable energy consumption highlights that the potential of technological innovation for carbon reduction needs to be further explored. These empirical findings indicate that encouraging technological innovation and accelerating energy transitions would be productive new ways of thinking about the trade-off between controlling financial risk and carbon emission reduction.

The four global worlds of welfare capitalism: Institutional, neoliberal, populist and residual welfare state regimes

What welfare state regimes are observed when the analysis is extended globally, empirically and theoretically? We introduce a novel perspective into the ‘welfare state regimes analyses’ – a perspective that brings developed and developing countries together and, as such, broadens the geographical, empirical and theoretical scope of the ‘welfare modelling business’. The expanding welfare regimes literature has suffered from several drawbacks: (i) it is radically slanted towards organisation for economic co-operation and development (OECD) countries, (ii) the literature on non-OECD countries does not use genuine welfare policy variables and (iii) social assistance and healthcare programmes are not utilized as components of welfare state effort and generosity. To overcome these limitations, we employ advanced data reduction methods, exploit an original dataset ( https://glow.ku.edu.tr/ ) that we assembled from several international and domestic sources covering 52 emerging markets and OECD countries and present a welfare state regime structure as of the mid-2010s. Our analysis is based on genuine welfare policy variables that are theorized to capture welfare generosity and welfare efforts across five major policy domains: old-age pensions, sickness cash benefits, unemployment insurance, social assistance and healthcare. The sample of OECD countries and emerging market economies form four distinct welfare state regime clusters: institutional, neoliberal, populist and residual. We unveil the composition and performance of welfare state components in each welfare state regime family and develop politics-based working hypotheses about the formation of these regimes. Institutional welfare state regimes perform high in social security, healthcare and social assistance, while populist regimes perform moderately in social assistance and healthcare and moderate-to-high in social security. The neoliberal regime performs moderately in social assistance and healthcare, and it performs low in social security, and the residual regime performs low in all components. We then hypothesize that the relative political strengths of formal and informal working classes are key factors that shaped these welfare state regime typologies.

Testing Unemployment Hysteresis with Multi-Factor Panel Unit Root: Evidence from OECD Countries

Hysteresis is a dominant feature of unemployment in numerous countries. According to the hysteresis hypothesis, it is a well-known fact that high unemployment may persist and remain an economic threat in the long run if policy measures are not taken. In this study, it is tested whether the unemployment rates for 10 selected countries of the Organisation for Economic Co-operation and Development (OECD) (Belgium, Canada, Czech Republic, Estonia, France, Japan, Netherlands, Spain, Britain and the USA) contain unit root or not, in other words, whether the hysteresis effect is valid for these countries. For this purpose, this study utilises the concept of the multi-factor panel unit root test proposed by Pesaran, Smith and Yamagata. This method measures cross-section dependence through factors. The test analyses whether the unit root is valid or not, using information about a sufficient number of additional explanatory variables. The characteristic of these additional variables is that they must share a common factor with the variable whose stationarity is tested. It is accepted that this common factor causes cross-sectional dependence. We have taken tax wedge, trade union density and minimum wage as factors that cause cross-sectional dependency and affect unemployment hysteresis. In this test developed by the authors, in the case of a multi-factor error structure, the test procedure is completed by using the information contained in 3 additional variables. The study explores not only the validity of unemployment hysteresis but also the factors that affect the rigidity of the unemployment rate. However, the research was unable to encompass the entire OECD countries and all times because of the lack of data. The results showed that the hysteresis is valid for 10 selected OECD countries.