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1,284 result(s) for "Kopf."
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Bug faces
Presents close-up photographs of insect faces and describes some of their unique facial features, including compound eyes and pincher jaws.
The impacts of globalization, financial development, government expenditures, and institutional quality on CO2 emissions in the presence of environmental Kuznets curve
The main objective of this study is to examine the impacts of globalization, financial development, government expenditures, and institutional quality on CO 2 emissions, incorporating energy consumption, and GDP per capita in the Environmental Kuznets Curve (EKC) model for 47 Emerging Market and Developing Economies (EMDEs) between 1990 and 2014. Owing to the presence of cross-sectional dependence and slope heterogeneity in the panel data, CADF and CIPS unit root tests are employed to validate the stationarity of the variables. Westerlund (Oxf Bull Econ Stat 69:709–748, 2007 ) and Banerjee and Carrion-i-Silvestre (J Time Ser Anal 38:610–636, 2017 ) cointegration tests denote the occurrence of cointegration among the variables. We employed CCEMG, AMG, and DCCE estimators to estimate heterogeneous parameters. The findings demonstrate that globalization, financial development, and energy consumption increase CO 2 emissions. Besides, the EKC hypothesis is affirmed in EMDEs. The accrual of governments’ financial and governance activities also boosts carbon dioxide emissions. Moreover, the analysis of Dumitrescu and Hurlin causality provides evidences for the feedbacks among the variables and CO 2 emissions. From the aforementioned results, there exists the trade-off effect between economic growth and environmental quality in EMDE countries. Finally, the empirical findings of this study indicate profound implications for policy makers, which recommend governments to consider the role of finance and governance in order to ensure that energy consumption, financial development, and sustainable economic growth are in harmony with the environment in the globalization era.
The global epidemiology of bladder cancer: a joinpoint regression analysis of its incidence and mortality trends and projection
We tested the hypotheses that the global incidence of bladder cancer was increasing but its mortality was reducing and its incidence was positively correlated with country-specific socioeconomic development. We retrieved data on age-standardized incidence and mortality rates/100,000 from the GLOBOCAN database in 2012. Temporal patterns were examined for 39 countries from the Cancer Incidence in Five Continents volumes I-X and other national registries. We evaluated the correlation between the incidence/mortality rates and Human Development Index (HDI)/ logarithmic values of Gross Domestic Product per capita (GDP). The average annual percent change of the incidence and mortality rates in the most recent 10 years was examined by joinpoint regression analysis. The highest incidence rates were observed in Southern Europe, Western Europe and North America. The mortality rates were the highest in Western Asia and Northern Africa. The incidence was positively correlated with HDI (r = 0.66 [men]; r = 0.50 [women]) and to a lesser extent logarithmic values of GDP per capita (r = 0.60 [men]; r = 0.50 [women], all p < 0.01). Many European countries experienced incidence rise. A substantial mortality reduction was observed in most countries, yet increases in mortality rates were observed in the Philippines and Iceland. These findings identified countries where more preventive actions are required.
Explaining among-country variation in COVID-19 case fatality rate
While the epidemic of SARS-CoV-2 has spread worldwide, there is much concern over the mortality rate that the infection induces. Available data suggest that COVID-19 case fatality rate had varied temporally (as the epidemic has progressed) and spatially (among countries). Here, we attempted to identify key factors possibly explaining the variability in case fatality rate across countries. We used data on the temporal trajectory of case fatality rate provided by the European Center for Disease Prevention and Control, and country-specific data on different metrics describing the incidence of known comorbidity factors associated with an increased risk of COVID-19 mortality at the individual level. We also compiled data on demography, economy and political regimes for each country. We found that temporal trajectories of case fatality rate greatly vary among countries. We found several factors associated with temporal changes in case fatality rate both among variables describing comorbidity risk and demographic, economic and political variables. In particular, countries with the highest values of DALYs lost to cardiovascular, cancer and chronic respiratory diseases had the highest values of COVID-19 CFR. CFR was also positively associated with the death rate due to smoking in people over 70 years. Interestingly, CFR was negatively associated with share of death due to lower respiratory infections. Among the demographic, economic and political variables, CFR was positively associated with share of the population over 70, GDP per capita, and level of democracy, while it was negatively associated with number of hospital beds ×1000. Overall, these results emphasize the role of comorbidity and socio-economic factors as possible drivers of COVID-19 case fatality rate at the population level.
Exploring the impact of innovation, renewable energy consumption, and income on CO2 emissions: new evidence from the BRICS economies
The study’s main purpose is to investigate the complex interaction between innovation, renewable energy consumption, and CO 2 emissions (CO 2 e), under the Kuznets curve framework, for BRICS economies from 1980 to 2016. The empirical estimates drwan from the CCEMG technique highlighted the heterogeneous role of innovation. The results indicated that innovation activities have failed to disrupt CO 2 e in China, India, Russia, and South Africa, except for Brazil. Second, the data showed that renewable energy consumption has mitigated CO 2 e in the BRICS panel, Russia, India, and China, excluding South Africa. Third, the existence of the EKC hypothesis was confirmed in all the BRICS economies, excluding India and South Africa. Fourth, the causality estimations reflected a two-way causality between innovation and CO 2 e; innovation and GDP per capita; innovation and renewable energy consumption; and between CO 2 e and income, thereby confirming the acceptance of income-led emission hypothesis in for BRICS economies, and vice versa.
Trends and drivers of African fossil fuel CO2 emissions 1990–2017
International efforts to avoid dangerous climate change aim for global carbon dioxide (CO2) emissions to be net-zero by midcentury. Such a goal will require both drastically reducing emissions from high-income countries and avoiding large increases in emissions from still-developing countries. Yet most analyses focus on rich-country emissions reductions, with much less attention to trends in low-income countries. Here, we use a Kaya framework to analyze patterns and trends in CO2 emissions from the combustion of fossil fuels in Africa between 1990 and 2017. In total, African CO2 emissions were just 4% of global fossil fuel emissions in 2017, or 1185 MtCO2, having grown by 4.6% yr−1 on average over the period 1990–2017 (cf the global growth rate of 2.2% yr−1 over the same period). In 2017, 10 countries accounted for about 87% of the continent’s emissions. Despite modest recent reductions in some countries’ CO2 emissions, projections of rapid growth of population and per capita GDP will drive future increases in emissions. Indeed, if the continent-wide average growth rate of 2010–2017 persists, by 2030 Africa’s emissions will have risen by ∼30% (to 1545 MtCO2). Moreover, if increases in carbon intensity also continue, Africa’s emissions would be substantially higher. In either case, such growth is at odds with international climate goals. Achieving such goals will require that the energy for African countries’ development instead come from non-emitting sources.
The increases and decreases of the environment Kuznets curve (EKC) for 8 OECD countries
In this paper, we investigate the validity of the environmental Kuznets curve (henceforth, EKC) hypothesis for 8 OECD countries. To this aim, we decompose the per capita GDP series into its increases and decreases and consider only increases by excluding decreases from the model. Therefore, this method may enable us to test the EKC hypothesis more accurately, in accordance with the original theory. Following decomposition, we apply the fixed-effect regression model with Driscoll-Kraay standard errors, and the common correlated effects mean group (CCEMG) estimator. Empirical findings indicate that while the undecomposed model with undecomposed per capita GDP series supports the EKC hypothesis for 4 out of 8 countries, the decomposed model with decomposed per capita GDP series does not do so for any country. Hence, these mixed results reveal a need to employ different alternative techniques, such as the data transformation/decomposition applied in this study, for testing the EKC hypothesis.
Does economic prosperity lead to environmental sustainability in developing economies? Environmental Kuznets curve theory
Since developing countries experience economic and environmental sustainability challenges, it is desirable digging into the linkages between economic and environmental parameters. The purpose of this work is to evaluate the existence of the environmental Kuznets curve (EKC) theory (i.e., the inverse U-shape connection between real GDP per capita and per capita carbon dioxide emissions) in the sample of 11 developing countries. By using balanced annual panel data in the period between 1992 and 2014 and two alternative estimation techniques, we explored the potential inverted U-shaped linkage between carbon dioxide emissions and real GDP per capita in the sample of interest. For analysis purposes, Pedroni and Westerlund co-integration techniques are employed. Then, fully modified ordinary least squares, pooled mean group methods are applied for long-run parameter estimations. And, the Dumitrescu-Hurlin causality approach is employed for causal directions. Firstly, this work’s findings provide the supportive evidence to the inverse U-shaped linkage in the long-run, indicating that an increase in real GDP per capita and electricity consumption tends to mitigate long-run carbon dioxide emissions in the developing countries, for the whole sample. Secondly, the country-specific findings suggested the presence of EKC theory for Brazil, China, India, Malaysia, the Russian Federation, Thailand, and Turkey. It implicated that these countries are on the path of attaining environmental sustainability in the long-run. However, Mexico, Philippines, Indonesia, and South Africa failed to lend credence to the EKC theory. It manifested that these countries need to design strategies directed to reduce carbon dioxide emissions from economic activity and electricity generation through efficiency improvement or promotion of renewables. Finally, bidirectional causal links are observed among all the variables of interest. The findings suggest that country-specific targeted action plans should be implemented to ensure the environmental sustainability in the developing world.
Testing validity of the EKC hypothesis in South Korea: role of renewable energy and trade openness
This paper investigates the dynamic short-term and long-term relationships among per capita GDP, per capita energy consumption, per capita renewable energy consumption, trade openness, and per capita carbon dioxide (CO 2 ) emissions within the framework of the environmental Kuznets curve (EKC) hypothesis for Korea from 1971 to 2017. According to the empirical findings of the autoregressive distributed lag (ARDL) bounds testing procedure, although increases in per capita GDP and per capita energy consumption increase per capita CO 2 emissions, per capita renewable energy consumption and trade openness decrease per capita CO 2 emissions. Furthermore, according to the empirical results, an N-shaped relationship has been identified between per capita CO 2 emissions and per capita GDP. This indicates that our empirical findings do not support the EKC hypothesis in Korea. Thus, economic growth alone is not sufficient to address environmental pollution; in response, active environmentally friendly policies should be implemented, and the energy matrix should be transformed in favor of renewable energy in Korea.
The effect of innovation on CO2 emissions of OCED countries from 1990 to 2014
Human activities are accelerating CO2 emissions all over the world most especially in high-income nations, spurring the rise in greenhouse gas emissions. For decades, technologies have been developed and patented in response to the environmental problems. There is an outcry for innovative ways to combat the environmental menace. This attests to the enormity of research being done, in recent years, to investigate how innovation can help mitigate CO2 emissions. This research aims at investigating into the effect of innovation on CO2 emissions in 28 OCED countries at an individual level for the recent period 1990 to 2014. The source of data for our utilized variables is the World Bank Indicators. Our study employed three key models based on the STIRPAT model, the economic-EKC growth model, and the innovation-EKC model. The findings of our study revealed that innovation plays a key role towards mitigation of CO2 emissions in most OECD countries. Its impact, however, varies across the countries, depending on some key factors and channels elucidated in this paper. Additionally, our study asserts that improvement in GDP per capita leads to the rise in CO2 in most OECD economies, although mitigate emissions in few OECDs; hence, the economic-EKC model is not valid for most economies. Non-renewable energy accelerates emissions whiles renewable energy sources mitigate emissions. Research and development (R&D) improves environmental quality and the EKC for both economic growth and innovation, valid for a few economies of the OECDs. We conclude that innovation is necessary in mitigating CO2 emissions; hence, governments and policy makers should invest and promote innovative renewable energy sources.