How can new energy development reduce CO2 emissions: Empirical evidence of inverted U-shaped relationship in China
Ontology highlight
ABSTRACT:
SUBMITTER: Xiong F
PROVIDER: S-EPMC10684066 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:China's announcement of its goal of carbon neutrality has increased the practical significance of research on carbon dioxide (CO2) emissions that result from urbanization. With a comprehensive consideration of population migration in China, this study examines the impact of urbanization on CO2 emissions based on provincial panel data from 2000 to 2012. Two indicators (resident population and household registration population) are used to measure urbanization rate. The results reveal that the impact of urbanization on CO2 emissions in China is closely correlated with the structure of urban resident population and interregional population migration. The estimation results are still robust by using generalized method of moments (GMM) estimator and two-stage least squares (2SLS) estimator. The proportion of temporary residents is introduced as a proxy variable for population migration. The panel threshold model regression results show that the proportion of temporary residents has a marginal effect on the relationship between urbanization and CO2 emissions. In regions with a higher proportion of temporary residents, the positive effects of resident population urbanization on CO2 emissions tend to be weaker. These findings are consistent with the theories of ecological modernization and urban environmental transition. This paper makes suggestions on China's urbanization development model and countermeasures are proposed to minimize the CO2 emissions caused by urbanization.
| S-EPMC8372907 | biostudies-literature
Project description:The credible sources of fossil energy efficiently are a vital cause of economic growth and considerable influence on adequate security. Whereas radiant energy positively enhances or ostensibly promotes socio-economic stability and the controlled environment. The fossil energy sources supply has become progressively stern in China and reconnoitering the beta decoupling relationships between CO2 emissions, GDP, energy consumption, electricity consumption, value-added industries, and population. The results will be favorable for illustrative the security of the valuable resources. This study adopts the extended stochastic model (STIRPAT) with Beta Decoupling Techniques (BDT). This modern technique merely employs the decoupling situation by the alpha and beta effects from 1989 to 2018 and calculates the % change in CO2 emissions by GDP growth and energy consumption. The estimated results represent negative and economic growth depends on coal and natural gas. First, CO2 emissions annually increasing cause of rapid growth, energy consumption, and electricity production, and the structural contradiction of energy remained static. Second, the Value-added industries estimated that CO2 emissions reduce by primary industries. Third, the decoupling states of CO2 emissions and population show an inverse relationship. This paper tentatively suggests China is sustainable, naturally strengthens energy output, transmutes the energy consumption structure, and advances development policies under environmental circumstances.
| S-EPMC8016343 | biostudies-literature
Project description:Understanding the relationship between carbon dioxide (CO2) emissions and the urbanization of national populations has been a key concern for environmental scholars for several decades. Although sophisticated modeling techniques have been developed to explore the connection between increases in urban populations and CO2 emissions, none has attempted to assess whether declines in urbanization have an effect on emissions that is not symmetrical with that of growth in urbanization. The present study uses panel data on CO2 emissions and the percentage of individuals living in urban areas, as well as a variety of other structural factors, for less-developed countries from 1960-2010, to empirically assess whether the effect of growth in urban populations on emissions is symmetrical with the effect of decline. Findings indicate that the effect of growth/decline in urban populations on CO2 emissions is asymmetrical, where a decline in urbanization reduces emissions to a much greater degree than urbanization increases emissions. We hypothesize that this is at least in part because deurbanization is connected with disruptions to the production and distribution of goods and services and/or access to electricity and other energy sources. Our finding suggests that not only the absolute level of urbanization of nations matters for emissions, but also how the patterns of migration between rural and urban areas change over time. Future research should be mindful of the processes behind deurbanization when exploring socioeconomic drivers of CO2 emissions.
| S-EPMC6286174 | biostudies-literature
Project description:As a result of rapid economic expansion, increased energy use, and urbanization, global warming and climate change have become serious challenges in recent decades. Institutional quality can be the remedy to impede the harmful effect of factors on environmental quality. This study investigates the impact that urbanization and institutional quality on environmental quality in in the Belt and Road Initiative (BRI) countries from 2002 to 2019. By using two step generalized method of moment, the findings shows that urbanization leads to an increase in carbon dioxide emissions and a decline in environmental quality. On the other hand, the square term of urbanization indicates that an increase in urbanization leads to a reduction in emissions at a later stage after reach a certain level. Education, on the other hand, has the reverse impact of increasing carbon emissions; economic growth, foreign direct investment, and government effectiveness all boost carbon emissions. In a similar vein, the interaction between urbanization and the effectiveness of the government is unfavorable, underscoring the transformative role that the effectiveness of the government plays in leading to environmental sustainability. Finally, the findings of this study have considerable policy implication for the sample countries.
| S-EPMC10566697 | biostudies-literature
Project description:This paper examines the relationship among CO2 emissions, energy use, and GDP in Russia using annual data ranging from 1990 to 2020. We first conduct time-series analyses (stationarity, structural breaks, cointegration, and causality tests). Then, we performed some Machine Learning experiments as robustness checks. Both approaches underline a bidirectional causal flow between energy use and CO2 emissions; a unidirectional link running from CO2 emissions to real GDP; and the predominance of the “neutrality hypothesis” for energy use-GDP nexus. Therefore, energy conservation measures should not adversely affect the economic growth path of the country. In the current geopolitical scenario, relevant policy implications may be derived.
| S-EPMC10290072 | biostudies-literature
Project description:PurposeObesity is a significant risk factor for cardiovascular disease; however, the impact of weight loss on cardiovascular health (CVH) in individuals with specific obesity patterns remains incompletely understood. The objective of our study was to investigate the relationship weight loss percentage and CVH scores across individuals with various obesity patterns.MethodsOur study utilized data from the National Health and Nutrition Examination Survey conducted between 2007 and 2018, involving a total of 12,835 participants aged 16 years or older, to conduct a cross-sectional analysis. Multiple linear regression and multinomial logistic regression methods were used to assess the correlation between the weight loss percentage and the CVH scores. Additionally, restricted cubic spline analysis was employed to examine the nonlinear relationship between the two variables.ResultsCompared to individuals with a weight loss percentage < 0%, participants with weight loss percentages of 0-5% and 5.1-10% showed improved CVH scores, with β values of 2.85 (95% CI 2.32-3.38) and 2.55 (95% CI 1.69-3.4), respectively. Regarding different obesity patterns, compared to participants with a weight loss percentage < 0%, participants with a weight loss percentage of 0-5% showed an increase in CVH scores in the normal weight and overweight/general obesity (OGO) groups, with β values of 1.45 (95% CI 0.7-2.19) and 1.22 (95% CI 0.46-1.97), respectively. Restricted cubic spline analysis revealed a significant inverted U-shaped relationship between the weight loss percentage and the CVH scores (with optimal CVH scores at 3%).ConclusionsThere was an inverted U-shaped relationship between weight loss percentage and CVH scores, with moderate weight loss (0-10%, optimal value of 3%) being associated with improved CVH scores, especially among individuals with OGO.Level vOpinions of respected authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.
| S-EPMC10598164 | biostudies-literature
Project description:This study uses data from the China Family Panel Studies to analyze the possible impact of non-farming income on household energy choices. We use ordinary least squares and instrumental variable estimation methods to investigate the causal effect of non-farming income on household energy choices. We find that an increase in non-farming income assisted farmers in reducing their use of solid fuels in favor of clean energy. Our heterogeneity analysis, based on the average rural household income and geographical location of the village, shows that the energy upgrade effect of non-farming income is more obvious in high-income areas and suburbs closer to the county seat center. Further, we find that non-farming income has an impact on rural household energy choice mainly through the optimization of household energy-saving appliances and the enhancement of environmental awareness.
| S-EPMC9635446 | biostudies-literature
Project description:As the association between obesity and bone health remains controversial in children and adolescents, we investigate the effects of obesity parameters on bone mineral density (BMD) in 2060 Korean adolescents who participated in the 2008-2011 Korea National Health and Nutrition Examination Survey (KNHANES). Multiple regression analysis and analysis of covariance (ANCOVA) were conducted to examine both the linear and non-linear associations between total-body-less-head (TBLH) BMD and four obesity parameters: body mass index, waist circumference, waist-to-height ratio, and total-body fat mass (FM). In a multiple linear regression analysis adjusted for age, menarcheal status (in females only), and total-body lean mass, there was no significant linear association between obesity parameters and TBLH BMD, except for total-body FM in males. However, upon adding a second-order polynomial term for each obesity parameter, a significant quadratic relationship between all obesity parameters and TBLH BMD was observed, with the corresponding quadratic term being negative. The results of ANCOVA also revealed an inverted U-shaped relationship between each obesity parameter and TBLH BMD. Our findings suggest the existence of an optimal range of obesity parameters for developing or maintaining optimal bone health in Korean Adolescents. Deviation from this range, in either direction (being underweight or having obesity), may compromise bone health.
| S-EPMC10532009 | biostudies-literature
Project description:Ports are important infrastructures for economic growth and development. Among the most significant environmental aspects of ports that contribute to the issue of climate change are those due to carbon dioxide emissions generated by port activities. Given the importance of this topic, this paper gathers initiatives and methodologies that have been undertaken to calculate and reduce CO2 emissions and climate change effects in ports. After studying these methodologies, their strengths and opportunities for further enhancement have been analyzed. The results show that, in recent years, several ports have started to calculate their carbon footprint and report it. However, in some of the cases, not all the sources of GHG gases that are occurring actually in ports are taken into account, such as emissions from waste treatment operations and employees' commuting. On other occasions, scopes are not defined following standard guidelines. Furthermore, each authority or operator uses its own method to calculate CO2 emissions, which makes the comparison of results difficult. For these reasons, this paper suggests the need for creating a standardized tool to calculate carbon footprint in ports, which will make it possible to establish a benchmark and a potential comparison of results among ports.
| S-EPMC7312454 | biostudies-literature
Project description:This paper utilizes spatial econometric reenactments to examine the geographic effects of different types of environmentally friendly power on corban discharges. The example covers 31 nations in the Asia-Pacific district during the time frame 2000 to 2018. The spatial connection in the model was affirmed by symptomatic testing, and the spatial Durbin model was picked as the last model. Results show that Gross domestic product per capita, receptiveness to business sectors, unfamiliar direct venture, energy force, and urbanization critically affect CO2 emanations. In correlation, just wind and sunlight-based energy have added to a generous abatement in ozone harming substance emanations in nations over the long run. In contrast, hydropower, bioenergy, and geothermal energy discoveries have been irrelevant. A cross-sectional examination worldview delineated that nations with more elevated sunlight-based energy yield have higher CO2 outflows, while nations with lower levels have lower CO2 emanations. The presence of spatial impacts in the model gave off an impression of the negative consequences for homegrown CO2 outflows of Gross domestic product per capita and exchange transparency of adjoining nations. Furthermore, energy power and higher creation of sustainable power in adjoining nations will prompt lower homegrown CO2 outflows.
| S-EPMC8513922 | biostudies-literature