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In response to the World Health Organization's (WHO) revised annual mean nitrogen dioxide (NO 2 ) standard from 40 μg/m 3 to 10 μg/m 3 , reflecting the growing evidence linking long-term exposure to ambient NO 2 and excess mortality, we conducted a comprehensive meta-analysis incorporating 11 new studies published since the WHO analysis. Our investigation involved a systematic search of three major databases (PubMed, Web of Science, and Scopus) for articles published until July 1, 2022. We employed random effects models to calculate summarized risk ratios (RR) along with 95% confidence intervals (CIs) for overall and subgroup analyses. Sensitivity analyses were conducted to assess result robustness, and publication bias was evaluated using funnel plots and Egger's linear regression. Out of 2799 identified articles, 56 were included in our meta-analysis. The findings indicate a heightened risk of all-cause, cardiovascular, and respiratory mortality associated with long-term exposure to ambient NO 2 , with pooled RR values of 1.03 (95% CI: 1.02, 1.05), 1.07 (95% CI: 1.04, 1.10), and 1.03 (95% CI: 1.02, 1.05) per 10 μg/m 3 increase, respectively. Substantial heterogeneity (I 2  = 84%-96%) among studies was observed. Subgroup analysis revealed significantly elevated RR values in Asia and Oceania (p-value <0.05). The aggregated values for all-cause and cardiovascular mortality were slightly larger than those reported in previous studies. Our study emphasizes the imperative to develop more patient cohorts and conduct age-refined analyses to explore the impact of existing chronic diseases on these associations. Further, additional cohorts in Asia and Oceania are essential to fortify evidence in these regions. Lastly, we recommend using fused multi-source data with higher spatiotemporal resolution for individual exposure representation to minimize heterogeneity among studies in future research., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Ltd.)

This article's overarching goal is to learn more about the effects of financial performance on the reliance upon or migration to energy efficiency sources in Asian countries using data envelopment analysis (DEA) and system GMM from 2017 to 2022. The results demonstrated the importance of relying on renewable energy sources when expanding the electricity sector effectively in an Asian environment. This same influence of green bond financing on energy investment during an eco-friendly improving economy is in addition to the proportion of renewable energy demands, power usage to gross domestic product, power manufacturing stretchability, electricity usage stretchability, or the overall impact of renewable energy transformation. The analysis revealed that the organizational climate has implicit implications that advance wage activity and that Asian financial systems drove a 30% point transition in the period studied from traditional power generation manufacturing and use methods toward sustainable energy. With this, we see a dramatic increase in the use of green power. This is largely attributable to the widespread use of green financing in constructing hydroelectric facilities throughout Asia. The theoretical underpinnings and empirical setting of the research are both original. Moreover, the association between green bond issuance and green, sustainable growth in industry and agriculture supports the response theory. Major governmental aspects include modernizing and expanding the finance system, updating national efficiency metrics, and creating a technological long-term infrastructure market. While previous studies have looked into the connections between green finance and economic growth, technological advancements in the energy sector, environmental responsibility, and renewable energy sources, this study is the first to focus on how green finance facilitates the shift to renewable energy in Asia's economies. The study's findings suggest how to manage renewable energy in Asia in a way that could work., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: The prevalence of cardiovascular disease (CVD) risk factors has been increasing in China., Methods and Results: We examined the prevalence of CVD risk factor clustering among Chinese adults aged 35 to 74 years with data from the International Collaborative Study of Cardiovascular Disease in Asia (InterAsia), a cross-sectional survey of a nationally representative sample (n=14 690) conducted during 2000 to 2001 and compared these data with those of US adults from the National Health and Nutrition Examination Survey of 1999 to 2000. Overall, 80.5%, 45.9%, and 17.2% of Chinese adults had > or =1, > or =2, and > or =3 modifiable CVD risk factors (dyslipidemia, hypertension, diabetes, cigarette smoking, and overweight), respectively. By comparison, 93.1%, 73.0%, and 35.9% of US adults had > or =1, > or =2, and > or =3 of these risk factors, respectively. In a multivariate model including age, sex, and area of residence, the odds ratio (95% confidence interval [CI]) of having > or =1, > or =2, and > or =3 CVD risk factors versus none of the studied risk factors was 2.61 (95% CI, 2.09 to 3.27), 3.55 (95% CI, 2.77 to 4.54), and 4.97 (95% CI, 3.67 to 6.74), respectively, for Chinese adults 65 to 74 years old versus 35 to 44 years old; 3.65 (95% CI, 3.21 to 4.15), 4.67 (95% CI, 4.06 to 5.38), and 5.60 (95% CI, 4.70 to 6.67), respectively, for men compared with women; 1.18 (95% CI, 1.07 to 1.30), 1.34 (95% CI, 1.21 to 1.50), and 1.84 (95% CI, 1.60 to 2.12), respectively, for urban compared with rural residents; and 1.98 (95% CI, 1.76 to 2.22), 2.75 (95% CI, 2.42 to 3.13), and 4.36 (95% CI, 3.68 to 5.18), respectively, for residents of northern compared with southern China., Conclusions: Clustering of CVD risk factors is common in China. Prevention, detection, and treatment of CVD risk factor clustering should be an important component of a national strategy to reduce the increasing burden of CVD in China.