Higher Gross Domestic Product Research Articles

Modelling Wealth and Wealth Inequality in Bulgaria

This paper analyses net wealth and net wealth inequality determinants in Bulgaria, for the 2000-2020 period. The econometric results suggest that the introduction of corporate and individual flat tax rates in 2007 and 2008 contribute to households’ net wealth creation but have no significant association with inequality variables. Interest rates on mortgage loans, cost of debt, budget surpluses and inflation have a negative association with wealth, while the value of houses, arable land, equity, interest income, budget deficits contribute to net wealth growth. The top percentile increases its wealth share supported by the value of houses, equity and positive current account to Gross Domestic Product (GDP) values, however the cost of debt and GDP per capita are in a negative association with top percentile inequality. The bottom half of the population increases its wealth share with higher GDP per capita values and higher consumer loans rates, however inflation affects it negatively. Inflation and investment income are in a positive association with the Gini coefficient, while interest rates on consumer loans, cost of debt, GDP per capita, Government revenues, dividend income, equity, and the value of houses reduce inequality.

Artificial night light and thyroid cancer.

The occurrence of thyroid cancer (TC) has increased in recent decades. Exposure to outdoor artificial light at night (ALN) is associated with an increased risk of cancer. To investigated the impact of ALN, as a significant environmental pollutant, on TC incidence worldwide. The assessment involved analyzing satellite ALN data in conjunction with TC incidence data [adjusted standardized rate (ASR)], while considering the quality of cancer registries (QCR), gross domestic product (GDP) per person, and health expenditure per person (HEP) for each country. Results indicated a correlation between higher ASR and ALN exposure percentages, particularly in countries with higher GDP or HEP quartiles (all P< 0.05). Significant differences in ASR were observed across QCR levels, both high and low quality (all P < 0.05), but not in countries without registry activity. However, when evaluating ASR against ALN exposure percentages while considering GDP/HEP quartiles or QCR levels, no significant associations were found (all P > 0.10). The findings suggest a potential link between higher GDP and adverse health conditions, serving as possible risk factors for TC, rather than a direct association with ALN. Limitations include the use of cross-sectional data, temporal misalignment, and reliance on ALN as a socioeconomic proxy. It is proposed that light pollution might be connected to a lifestyle conducive to carcinogenesis. Additionally, the presence of higher GDP/HEP could enhance access to diagnostic resources, potentially facilitating TC diagnosis and inclusion in cancer registries.

Renewable Energy in the Eurozone: Exploring Macroeconomic Impacts via FMOLS

This article examines the relationship between macroeconomic variables and the share of renewable energy in Eurozone countries from 2006 to 2020. Using the Fully Modified Ordinary Least Squares (FMOLS) method, we analyze the impact of Gross Domestic Product (GDP) per capita, unemployment rate, Financial Development Index (FDI), inflation, government efficiency, and corruption control on the proportion of renewable energy. Focused on the Eurozone, our study fills a gap in existing research. We compile diverse findings from the literature review on this topic. Our analysis reveals that higher GDP per capita positively influences the proportion of renewable energy, while unemployment, lower financial development, higher inflation, inefficient governance, and corruption negatively impact renewable energy adoption. These findings underscore the importance of addressing economic development alongside sustainable energy initiatives. Policymakers should prioritize improving GDP per capita, and addressing barriers such as unemployment and corruption to facilitate the transition to a more sustainable energy landscape in the Eurozone.

The gender gap in the acceptance of automated vehicles in Europe

Previous research suggests that there might be a gender gap in the acceptance of automated vehicles (AVs): males are typically found to have a higher intention to use AVs than females, although opposite results have been reported in different countries. The conflicting results have yet to be addressed, and only a few studies have attempted to explain the country-level differences based on quantifiable socio-economic indicators.We investigated the gender gap in the acceptance of AVs (SAE Level 3) using a questionnaire study among 8412 car-drivers in eight European countries as part of the European L3Pilot project. For this study, the gender gap in the acceptance of AVs is defined as the difference in the willingness to use, buy and activate the automated driving function in AVs between men and women. Results showed two distinct realities for Europe: in one group of countries, females were less willing to use AVs than males, while in another group, both males and females had similar acceptance towards AVs with higher ratings overall. These country groups were different in terms of Gross Domestic Product (GDP) per capita and the Gender Equality Index (GEI). The gender gap in the acceptance of AVs was larger in countries with a higher GDP and GEI.The study findings suggest that the gender gap in the acceptance of AVs is not universal, and the countries’ progress in economics and gender equality are related to people's attitudes toward AVs. This finding enhances policy development and planning future transport solutions to ensure that all potential users can benefit from AVs.

Panel Vector Autoregressive Modeling of Macroeconomic Interaction in Nigeria, Ghana and Cameroon

Aims: The aim of this study is to apply Panel VAR (Vector Autoregressive) modeling and estimation to analyze the macroeconomic interaction and interdependence within the context of Nigeria, Ghana, and Cameroon. The study aims to understand the trends of key macroeconomic variables, namely gross domestic product (GDP), exchange rate, and foreign reserves.&#x0D; Methodology: The study adopted three macroeconomic variables—GDP, exchange rate, and foreign reserve—and utilized annual secondary data from the World Bank spanning from 1960 to 2022. Pretests, including unit root and cointegration tests, were conducted on the variables. The panel unit root tests (Levin, Lin, and Chu t, Augmented Dickey-Fuller Fisher Chi-Square, and Phillips-Perron Fisher Chi-Square) indicated that the series had unit roots at levels but were stationary at first difference, implying integration of order one. The absence of co-integration in the panel co-integration test established the necessary conditions for estimating a panel vector autoregressive model.&#x0D; Results: The trend analysis revealed that the variables were relatively low in the 1960s and 1970s but exhibited an increasing and fluctuating pattern afterward. Descriptive statistics showed variations among the countries, with Cameroon having higher GDP per capita and greater standard deviation, indicating more significant fluctuations. Ghana, in contrast, displayed lower per capita income with a lower standard deviation. The foreign exchange rate varied, with Cameroon having the highest and Ghana the lowest mean rates.Conclusion: The fixed effect model was estimated after the Hausman Test rejected the random effect model. The results indicated that foreign exchange rates had joint significance on GDP per capita, while foreign reserves did not. The study concludes that the economies of Nigeria, Ghana, and Cameroon are responsive to GDP per capita, foreign exchange rates, and foreign reserves. The policy implication is that economic practitioners in these countries should closely monitor these variables to anticipate changes in economic indicators. Therefore, the study recommends active monitoring of the economic variables used in this research to facilitate informed decision-making.

Immediate Impact of the COVID-19 Pandemic on Heart and Kidney Transplantation andtheRecovery Trends in 30 Developed andLess-Developed Countries.

BACKGROUND The COVID-19 pandemic had multifaceted and disproportionate impacts on various countries. We investigated the decline of heart and kidney transplantation in 2020 and recovery trends in 2020, 2021, and 2022 in 30 developed and developing countries, considering COVID-19 incidence and mortality and pandemic-time economic variables. MATERIAL AND METHODS Data were obtained from reliable open databases. Nations were grouped by hierarchical cluster analysis into high-gross domestic product (GDP), mid-GDP, and low-GDP countries. Expected transplant numbers for 2020 to 2021 were estimated by the artificial neural network method using data from 2015 to 2019. Effect size and its inference were determined through the Hodges-Lemann estimate and Wilcoxon signed-rank test, respectively. The possible disproportionate effect was estimated by the Jonckheere-Tersptra test. Associations between transplantation and economic variables, COVID-19 caseload, and mortality were examined using Kendall rank correlation analysis. RESULTS All nations experienced a decline in 2020 and some real recovery in 2020 to 2022. For high-GDP countries, decline was insignificant and recovery was marginal; for mid-GDP countries, decline was significant for heart and deceased kidneys and recovery was modest; for low-GDP countries, decline was significant for heart, live kidneys, and deceased kidneys and recovery was marginal. The low-GDP countries were disproportionally negatively impacted, although the associations between the impact and economic variables, COVID-19 incidence, and COVID-19 mortality were statistically insignificant. CONCLUSIONS More inclusive studies of socioeconomic and cultural factors that affected the impact of the COVID-19 pandemic in different countries can be useful for better preparedness and reducing disruption in healthcare in future global pandemics.

The clean energy development path and sustainable development of the ecological environment driven by big data for mining projects

Clean energy is urgently needed to realize mining projects’ sustainable development (SD). This study aims to discuss the clean energy development path and the related issues of SD in the ecological environment driven by big data for mining projects. This study adopts a comprehensive research approach, including a literature review, case analysis, and model construction. Firstly, an in-depth literature review of the development status of clean energy is carried out, and the existing research results and technology applications are explored. Secondly, some typical mining projects are selected as cases to discuss the practice and effect of their clean energy application. Finally, the corresponding clean energy development path and the SD analysis model of the ecological environment are constructed based on big data technology to evaluate the feasibility and potential benefits of promoting and applying clean energy in mining projects. (1) It is observed that under different Gross Domestic Product (GDP) growth rates, the new and cumulative installed capacities of wind energy show an increasing trend. In 2022, under the low GDP growth rate, the cumulative installed capacity of global wind energy was 370.60 Gigawatt (GW), and the new installed capacity was 45 GW. With the high GDP growth rate, the cumulative and new installed capacities were 367.83 GW and 46 GW. As the economy grows, new wind energy capacity is expected to increase significantly by 2030. In 2046, 2047, and 2050, carbon dioxide (CO2) emissions reductions are projected to be 8183.35, 8539.22, and 9842.73 Million tons (Mt) (low scenario), 8750.68, 9087.16, and 10,468.75 Mt (medium scenario), and 9083.03, 9458.86, and 10,879.58 Mt (high scenario). By 2060, it is expected that CO2 emissions reduction will continue to increase. (2) The proposed clean energy development path model has achieved a good effect. Through this study, it is hoped to provide empirical support and decision-making reference for the development of mining projects in clean energy, and promote the SD of the mining industry, thus achieving a win-win situation of economic and ecological benefits. This is of great significance for protecting the ecological environment and realizing the sustainable utilization of resources.

On the Dynamic Relationship between Household Debt and Income Inequality in South Africa

This paper analyses the relationship between household debt and income inequality in South Africa for the period 1980–2021. We use two measures of inequality and estimate a vector error correction model (VECM) which includes household debt, inequality, and other macroeconomic variables. To test the robustness of our results, single equation models are used, which estimate household debt as a function of inequality and macroeconomic factors. We employ two measures of inequality, namely Gini coefficient and ratio of top and bottom income earners’ proportion of income. Furthermore, we use both household debt as a percentage of disposable income and household debt service costs as dependent variables in single equation regressions. The study finds a negative and significant relationship between household debt and income inequality in the long run, which contradicts the Rajan hypothesis in the South African case. Rather, we find that inequality in South Africa creates a bias in debt allocation towards high-income earners, whose incomes can easily absorb the extra debt (reduced ratio of debt to disposable income). There are therefore no socio-equity considerations in South African credit markets. We find growth in gross domestic product (GDP) per capita also has a moderating effect on the relationship between household debt and income inequality. High GDP per capita growth in the presence of high inequality reduces the impact of inequality on household debt and vice-versa. All other control variables take expected signs. These results are robust to changes in the inequality or household debt measures.

The effects of economic status on metabolic control in type 2 diabetes mellitus at 10 metabolic management centers in China.

This study investigated the association of economic status with metabolic index control in type 2 diabetes mellitus (T2DM) patients. In total, 37 454 T2DM patients from 10 National Metabolic Management Centers in China were recruited and categorized into two groups: a high-gross domestic product (GDP) group (n = 23 993) and a low-GDP group (n = 13 461). Sociodemographic characteristics, medical histories, and lifestyle factors were recorded. Logistic regression and interaction analysis were performed to evaluate the association of economic status and healthy lifestyle with metabolic control. Compared to the low-GDP group, there were fewer patients with glycated hemoglobin (HbA1c) levels ≥7% in the high-GDP group. Fewer patients with a high GDP had an abnormal metabolic state (HbA1c ≥ 7%, blood pressure [BP] ≥130/80 mm Hg, total cholesterol [TCH] ≥4.5 mmol/L or body mass index [BMI] ≥24 kg/m2 ). The risks of developing HbA1c ≥ 7% (odds ratios [OR] = 0.545 [95% CI: 0.515-0.577], p < .001), BP ≥ 130/80 mm Hg (OR = 0.808 [95% CI: 0.770-0.849], p < .001), BMI ≥ 24 kg/m2 (OR = 0.840 [95% CI: 0.799-0.884], p < .001), and an abnormal metabolic state (OR = 0.533 [95% CI: 0.444-0.636], p < .001) were significantly lower in the high-GDP group even after adjustment for confounding factors. Younger participants; those with a family history of diabetes, normal weight, and a physical activity level up to standard; and those who did not drink alcohol in the high-GDP group were predisposed to better glycemic levels. T2DM patients in economically developed regions had better metabolic control, especially glycemic control. A healthy lifestyle had an additive effect on achieving glycemic goals, even among high-GDP patients.

Interaction patterns between economic growth and atmospheric environment in China under the "carbon neutrality" target.

Clarifying the interaction patterns between economic growth and atmospheric environment (EG-AE) in China is important to achieve the "carbon neutrality" target. A conceptual framework of air pollutant emission in urban economic growth (APEUEG) was proposed to explore the interaction patterns in China from 2007 to 2017. The empirical analysis revealed that a N-shaped EKC exists between aerosol optical depth (AOD) and gross domestic product (GDP), with inflection points of $5000 and $27,000, respectively. Therefore, we speculated that when GDP per capita of a city exceeded $5000, the AOD gradually decreased. However, when GDP per capita of a city gained over $27,000, the economic growth and the atmospheric environment would be coordinated steadily. The interaction of EG-AE experienced three stages-pollution, improvement, and coordination-in China. Spatially, the interaction patterns of EG-AE presented five clusters, which were associated with the spatial distribution of city levels. China's prefecture-level cities have undergone the cluster of low AOD-low GDP (LL), the cluster of high AOD-high GDP (HH), and the cluster of low AOD-high GDP (LH), as urban level improves. By 2017, about 44% of Chinese cities had not completed the coordinated development yet. We found that policymakers should formulate differentiated urban greener economic development policies to reduce APEUEG.

Effect of air pollution on the prevalence of breast and cervical cancer in China: a panel data regression analysis.

The association between the prevalence of breast and cervical cancer in Chinese women and air pollution is obscure. The study aims to analyze the correlation between air pollution and the prevalence of breast and cervical cancer, and whether the gross domestic product (GDP) has a modifying effect on the impact of air pollution on the prevalence of breast and cervical cancer. Extracting panel data from 31 provinces and cities between 2006 and 2020, we evaluated the association between breast and cervical cancer prevalence and pollutant emissions from 2006 to 2015 with two-way fixed-effect models. We also analyzed the interaction between GDP and pollutant emissions and further check the robustness of the moderating effect results using group regression from 2016 to 2020. Cluster robust standard errors were used to correct for the heteroskedasticity and autocorrelation. The coefficients of models show that the coefficients of logarithmic soot and dust emissions are estimated to be significantly positive, and the coefficients of their square terms are significantly negative. The robust results suggest that the relationship between soot and dust emissions and breast or cervical cancer prevalence is non-linear, from 2006 to 2015. In the analysis of particulate matter (PM) data in 2016-2020, the PM-GDP interaction term was also significantly negative, indicating that GDP growth weakened the effect of PM on the prevalence of breast cancer and cervical cancer. In provinces with higher GDP, the indirect effect of PM emissions concerning breast cancer is -0.396 while in provinces with lower GDP, it is about -0.215. The corresponding coefficient concerning cervical cancer is about -0.209 in provinces with higher GDP but not significant in provinces with lower GDP. Our results suggest that there is an inverted U-shaped relationship between the prevalence of breast cancer and cervical cancer and air pollutants from 2006 to 2015. GDP growth has a significant negative moderating effect on the impact of air pollutants on the prevalence of breast cancer and cervical cancer. PM emissions have a higher effect on the prevalence of breast and cervical cancer in provinces with higher GDP and a lower impact in provinces with lower GDP.

Energy poverty in Portugal, Italy, and Norway: awareness, short-term driving forces, and barriers in the built environment

Portugal, Italy, and Norway differ by energy performance of buildings and gross domestic product (GDP). Portugal has significantly highest thermal discomfort with harsher winters. In 2021, 80% of Portuguese buildings had a low energy rating, with 75% of buildings without thermal insulation, highly contributing to the energy poverty (EP) of the country. In Italy, despite a generally mild climate, the building stock has low thermal performance. The most affected areas are the suburban and peri-urban ones, with an EP rate in southern regions between 13% and 20% compared to 8.8% at national level. Moreover, 65% of buildings were constructed before the first law on energy saving criteria and a 25% of it has never undergone any work of maintenance or improvement. Norway, despite the limited studies performs well respect to other European Economic Area and European Union countries, in investing and using indicators to enhance and monitor the green energies’ use. Because of energy price growth, seasonal price fluctuations, and different energy tariffs, energy inequality is increasing. EP risk is underestimated, masked by Norway’s high GDP and regional price disparity. Energy inequality is increasing due to energy price growth, seasonal price fluctuations, and energy prices’ geographical inequality. The barriers in reducing EP are the underestimation of risk masked by the high GDP, and the need of homogenized prices in Norway. This study provides an overview to discuss EP awareness and it assesses the drivers and barriers that influence building’s energy efficiency renovation.

Global trends in the consumption of benzodiazepines and Z-drugs in 67 countries and regions from 2008-2018: a sales data analysis.

To investigate the trends in the consumption of benzodiazepines (BZDs) and Z-drugs at global, regional, and national levels from 2008 to 2018, across 67 countries and regions. This cross-sectional descriptive study investigated the consumption of BZDs and Z-drugs analysed by global pharmaceutical sales data from the IQVIA-Multinational Integrated Data Analysis System database between 2008 and 2018. Consumption was measured in defined daily dose per 1,000 inhabitants per day (DDD/TID). The global, regional, and national trends were estimated using linear mixed models. Additional analyses were conducted by grouping countries by income levels. The association between consumption and Gross Domestic Product (GDP) and the prevalence of different medical conditions was explored in univariable linear models. BZD consumption decreased annually by -1.88% (95% CI: -2.27%, -1.48%), and Z-drugs increased by +3.28% (+2.55%, +4.01%). In 2008, the top ten countries for BZD and Z-drug consumption were all European, ranging from 63.69 to 128.24 DDD/TID. Very low levels were found in Russia, Kuwait, United Arab Emirates, Saudi Arabia, French West Africa, and the Philippines, with DDD/TID <1. The consumption in high-income countries was much higher than in middle-income countries. The results showed that increased consumption of BZDs and Z-drugs was statistically associated (P<0.05) with higher GDP and increased prevalence of anxiety, self-harm, neurological disorders, chronic respiratory diseases, cardiovascular diseases and cancers. Distinct differences in consumption and trends of BZDs and Z-drugs were found across different countries and regions. Further exploration is needed to understand the association and safety of the use of BZDs and Z-drugs in patients with comorbidities.

Time to reimbursement of novel anticancer drugs in Europe: a case study of seven European countries

Time to reimbursement (TTR) of new anticancer medicines differs between countries and contributes to unequal access. We aimed to investigate TTR of new anticancer medicines and explore factors influencing the reimbursement process in seven high-income European countries. We carried out a retrospective case study of anticancer medicines with European Union Market Access (EU-MA) and a positive Committee for Medicinal Products for Human Use opinion from 2016 until 2021 with subsequent national reimbursement approval (NRA). The National Health Technology Assessment (HTA) and reimbursement websites of Germany, France, UK, the Netherlands, Belgium, Norway and Switzerland were used to identify TTR, defined as time from EU-MA to NRA. Additionally, we investigated medication-, country-, indication- and pharma-related factors potentially influencing TTR. Thirty-five medicines were identified for which TTR ranged from -81 days to 2320 days (median 407 days). At data cut-off, 16 (46%) were reimbursed in all seven countries. Overall, the shortest TTR was in Germany (median 3 days, all medicines reimbursed <5 days). The time limit for reimbursement of 180 days stated by the Council of European Communities after the EU-MA (EU Transparency Directive) was met for 100% of included medicines in Germany, 51% in France, 29% in the UK and the Netherlands, 14% in Switzerland, 6% in Norway and 3% in Belgium. The TTR was significantly different between countries (P < 0.001). In multivariate analysis, factors associated with shorter TTR were higher gross domestic product (GDP), absence of a pre-assessment procedure and submission by a big pharmaceutical company. TTR of anticancer medicines varies significantly between seven high-income European countries and leads to inequality in access. Among explored medication-, country-, indication- and pharma-related factors we found that a high GDP, the absence of a pre-assessment procedure and submission by big pharmaceutical companies were associated with shorter TTR.

Energy Intensity, Energy Efficiency and Economic Growth among OECD Nations from 2000 to 2019

This study examines the energy intensity (EI), energy efficiency (EE), and economic growth, measured by the type of returns to scale (RTS), of 37 nations in the Organization for Economic Co-operation and Development (OECD) from 2000 to 2019. We apply a non-parametric approach to estimate the three measures from their consumption of four primary energy sources, such as coal, gas, oil, and zero emission (e.g., renewable and nuclear power) as inputs and gross domestic product (GDP) as an output. In this study, we have the two types of efficiency measures over time: window-based and cross-sectional-based measures. Three findings are identified from our empirical study. First, the operationally efficient group, including France, Iceland, Japan, Switzerland, UK, and USA, presented a stable status of full efficiency in the window-based efficiency measure. Iceland and Switzerland were also in the higher efficiency group based on the cross-sectional measure. Their efficiencies were high and stable over the observed periods. Second, zero-carbon-emission (e.g., renewable and nuclear) energies outperformed other energy sources (coal, gas, and oil) in terms of a potentiality of EI/EE improvement. In other words, OECD nations can improve on their EI/EE measures by reducing fuel consumption of coal, gas, and oil while maintaining their high GDP levels. Finally, four industrial nations (France, Japan, UK, and USA) had a status of unity in their EI/EE measures for zero-carbon-emission energies with decreasing RTS. These nations would increase zero-carbon emission for energy consumption to increase GDP while keeping optimal EI/EE because such changes in consumption would not largely affect EI/EE due to their constant RTS status. Iceland showed increasing RTS. The nation may improve the EI level by increasing zero-carbon-emission energy consumption and economic size. The four nations can increase zero-emission energy consumption to achieve further economic growth without observing a large deterioration of EI/EE because it is very close to constant RTS. The examination of RTS provides policy directions for the improvement of EI and EE. Switzerland showed decreasing RTS and may deteriorate the EI/EE by increasing energy consumption and the size of each economy. The remaining countries, whose degree of EI/EE measures was less than unity, showed increasing or decreasing RTS. The examination of RTS provides important implications for energy policy to enhance the degree of EI/ EE.

Insomnia, Daytime Sleepiness, and Quality of Life among 20,139 College Students in 60 Countries around the World-A 2016-2021 Study.

Sleep disorders are a widespread phenomenon, and the number of individuals suffering from them is increasing every year, especially among young adults. Currently, the literature lacks studies that cover both countries with different levels of development and a period before the announcement of the ongoing COVID-19 pandemic. Therefore, this study aims to globally assess the prevalence of insomnia and daytime sleepiness among students and assess their quality of life. For this purpose, our own questionnaire was distributed online via Facebook.com. In addition to the questions that assessed socioeconomic status, the survey included psychometric tools, such as the Athens insomnia scale (AIS), the Epworth sleepiness scale (ESS), and the Manchester short assessment of the quality of life (MANSA). The survey distribution period covered 31 January 2016 to 30 April 2021. The survey involved 20,139 students from 60 countries around the world. The vast majority of the students were women (78.2%) and also those residing in countries with very high levels of development and/or high GDP (gross domestic product) per capita at 90.4% and 87.9%, respectively. More than half (50.6%) of the respondents (10,187) took the survey before the COVID-19 pandemic was announced. In the group analyzed, 11,597 (57.6%) students obtained a score indicative of insomnia and 5442 (27.0%) a score indicative of daytime sleepiness. Women, low-income residents, and nonmedical students were significantly more likely to have scores indicating the presence of insomnia. Individuals experiencing both sleepiness (B = -3.142; p &lt; 0.001) and daytime sleepiness (B = -1.331; p &lt; 0.001) rated their quality of life significantly lower. Insomnia and excessive daytime sleepiness are common conditions among students worldwide and are closely related. The COVID-19 pandemic significantly altered students' diurnal rhythms, which contributed to an increase in insomnia. Students in countries with a high GDP per capita index are significantly less likely to develop insomnia compared to the residents of countries with a low GDP per capita index. Sleep disorders definitely reduce the quality of life of students.

The relative roles of domestic and foreign capital in aggregate production of GDP and CO2-equivalent emission across OECD countries.

This paper adopts a two-stage stochastic frontier analysis framework to analyse the roles of foreign and domestic capital in the aggregate production of gross domestic product (GDP) and CO2-equivalent emissions across 36 OECD countries from 1990 to 2014. The first stage estimates a quadratic output directional distance function to derive the marginal products of foreign and domestic capital with respective to GDP and emissions. The second stage examines explanations for variations in the marginal rate of technical substitution (MRTS) of foreign and domestic capital across OECD countries. Our paper finds two important empirical evidence findings on the role of foreign capital in the aggregate production of desirable and undesirable outputs. Firstly, that foreign capital appears to be more effective than domestic capital in generating GDP and curbing CO2-equivalent emissions. We find that one standard deviation of GDP (or $2333 billion in 2011 dollars) would require $1857 billion (in 2011 dollars) of foreign capital in comparison with $4867 billion of domestic capital, ceteris paribus. On the other hand, the reduction of CO2-equivalent emissions by one standard deviation would demand $4091 billion (in 2011 dollars) of foreign capital relative to $16,539 billion of domestic capital. Second, foreign capital is more effective in reducing emissions in countries characterised by higher GDP per capita, larger population density, and higher shares of manufacturing sectors and exports.

Significant Differences in IBD Care and Education across Europe: Results of the Pan-European VIPER Survey

Background: Inflammatory bowel disease (IBD) care and education might differ around Europe. Therefore, we conducted this European Variation In IBD PracticE suRvey (VIPER) to investigate potential differences between countries. Methods: This trainee-initiated survey, run through SurveyMonkey®, consisted of 47 questions inquiring basic demographics, IBD training, and clinical care. Results were compared according to gross domestic product (GDP) per capita, for which countries were divided into 2 groups (low/high income, according to the World Bank). Results: The online survey was completed by 1,285 participants from 40 European countries, with a majority of specialists (65.3%) working in academic institutions (50.4%). Significant differences in IBD-specific training (55.9% vs. 38.4%), as well as availability of IBD units (58.4% vs. 39.7%) and multidisciplinary meetings (73.2% vs. 40.1%), were observed between respondees from high and low GDP countries (p < 0.0001). In high GDP countries, IBD nurses are more common (85.9% vs. 36.0%), also mirrored by more nurse-led IBD clinics (40.6% vs. 13.7%; p < 0.0001). IBD dieticians (33.4% vs. 16.5%) and psychologists (16.8% vs. 7.5%) are mainly present in high GDP countries (p < 0.0001). In the current COVID era, telemedicine is available in 73.2% versus 54.1% of the high/low GDP countries, respectively (p < 0.0001). Treat-to-target approaches are implemented everywhere (85.0%), though access to biologicals and small molecules differs significantly. Conclusion: Much variability in IBD practice exists across Europe, with marked differences between high and low GDP countries. Further work is required to help address some of these inequalities, aiming to improve and standardize IBD care and training across Europe.

Facts and Figures on Aspects of Waste Management in Middle East and North Africa Region

The waste management field in Middle Eastern and North African countries suffers from multiple drawbacks and chronic problems that require strategic solutions and collaboration among various institutions. Due to a lack of data, a financial deficit, limited economic resources for the municipalities, and singular treatment processes, until recently, waste has been dealt with as garbage that needs to be disposed of, while, in a large number of developed countries, waste now represents a substantial economic resource and an important source of materials that can be reinserted into the industrial sector. This paper presents a review of several aspects and sectors that are directly related to waste generation and the current situation regarding the waste management system in the Middle East and North Africa (MENA) region in terms of composition, generated amount/capita, existing treatment routes, and institutional frameworks. Furthermore, gross domestic production and population growth are specified as critical factors governing the waste sector in the region. Such data and information will increase the possibility of drawing a roadmap to convert the current waste treatment stream into a material flow concept and circular economy. The energy sector (energy consumption) is also considered to illustrate the potential role of waste if incineration technology (energy recovery from waste) is realized as a radical solution for the waste system in the region. Following a review of the literature, the main challenges in the waste management sector that need to be solved are summarized. The novelty of this work is two-fold. First, it elucidates the connection between gross domestic product (GDP), waste composition, and waste generation. According to the literature, countries with a high GDP produce a greater amount of waste (around 1.5–2.7 kg/capita/day) with a lower organic share of waste composition of around 40%, as they have an increased lifestyle rate. Second, a review of energy consumption per capita illuminates the essential role of waste as a source of energy.

Overweight increases COVID-19 morbidity and mortality

Currently, the COVID-19 pandemic is characterized by a significant decrease in mortality, however, the scale of infection of the population with SARS-CoV-2 is many times higher than the results of previous waves, so scientific research related to understanding the fundamental principles of the processes of origin and development of COVID-19 is extremely relevant today and will remain relevant for a long time to come. The scientific community is actively discussing the paradoxical effect of an avalanche-like morbidity and mortality of the population in most countries that are at a high level of socio-economic development, one of the reasons for which may be the prevalence of overweight people. The authors carried out a correlation analysis of the relationships between the prevalence of overweight (OW) in men and women in 173 countries of the world, incidence and mortality, the value of gross domestic product (GDP) per capita of the state, and the human development index (HDI). A review of the state of the problem and our statistical calculations clearly indicate that the prevalence of overweight is accompanied by an increase in the incidence and mortality of the population from COVID-19. The level of incidence and mortality of the population is associated with an exponential relationship with the prevalence of overweight both among the male and female population of the state. The prevalence of overweight has a slightly stronger effect on the increase in morbidity compared to the increase in mortality. The degree of association between incidence/mortality and the prevalence of overweight among men/women in 2021 is lower than in 2020, but the difference is not significant. This suggests that large-scale vaccination of the population in countries with high GDP per capita and high HDI only marginally reduced the impact of OW prevalence on COVID-19 incidence and mortality. The prevalence of overweight in the population is directly proportional to GDP per capita and, to a greater extent, to the HDI. This, in the opinion of the authors, is one of the main reasons for the significantly higher incidence and mortality in countries with a high level of socioeconomic development/