Displaying publications 261 - 280 of 2311 in total

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  1. Role of investor attention and executive green awareness on environmental information disclosure of Chinese high-tech listed companies
    Chen Y, Masron TA, Mai W
    J Environ Manage, 2024 Aug;365:121552.
    PMID: 38905790 DOI: 10.1016/j.jenvman.2024.121552
    Against the backdrop of growing public concern about environmental disclosure, and despite this concern, the level of environmental disclosure by high-tech firms remains low, necessitating a heightened emphasis on corporate environmental disclosure. This study delves into the impact of investor attention on the environmental information disclosure of Chinese high-tech firms, analyzing data from 463 firms between 2011 and 2022. Utilizing dynamic panel GMM, our findings highlight a significant negative correlation between investor attention and environmental information disclosure. We also introduced executive green awareness, exploring their moderating role. The results show that improved executive green awareness mitigates the adverse impact of investor attention on environmental information disclosure. However, heterogeneity analysis revealed that this moderating effect does not exist in IT service and non-polluting high-tech enterprises. This research offers policy implications for enhancing transparency and environmental governance through targeted investor engagement and executive training programs. The findings underscore the importance of a comprehensive regulatory framework tailored to sector-specific challenges in high-tech industry.
    Matched MeSH terms: China
  2. Can green finance promote the low-carbon transformation of the energy system? New evidence from city-level data in China
    Zhang S, Dou W, Ji R, Afthanorhan A, Hao Y
    J Environ Manage, 2024 Aug;365:121577.
    PMID: 38943748 DOI: 10.1016/j.jenvman.2024.121577
    This study explores the comprehensive effects of green finance (GF) on the low-carbon transition of the energy system (LTES) by analyzing panel data from 281 cities in China from 2006 to 2021. It is found that GF significantly reduces overall energy consumption and exhibits a U-shaped association with energy efficiency, while its relationship with the energy consumption structure is inverted U-shaped. After accounting for endogeneity in the robustness tests, these findings remain consistent and are therefore deemed reliable. A mechanistic analysis reveals that GF promotes industrial upgrading, technological progress, and economic agglomeration, collectively facilitating the LTES. The impact of GF on LTES shows considerable variation among regions, influenced by their levels of economic growth, extents of marketization, and governmental environmental preferences. Our findings provide new evidence for the relationship between GF and LTES, offering a scientific basis for formulating GF policies to accelerate this transformation.
    Matched MeSH terms: China
  3. Fulltext Microplastics in Asian rivers: Geographical distribution, most detected types, and inconsistency in methodologies
    Lin HT, Schneider F, Aziz MA, Wong KY, Arunachalam KD, Praveena SM, et al.
    Environ Pollut, 2024 May 15;349:123985.
    PMID: 38621450 DOI: 10.1016/j.envpol.2024.123985
    Microplastics pose a significant environmental threat, with potential implications for toxic chemical release, aquatic life endangerment, and human food chain contamination. In Asia, rapid economic growth coupled with inadequate waste management has escalated plastic pollution in rivers, positioning them as focal points for environmental concern. Despite Asia's rivers being considered the most polluted with plastics globally, scholarly attention to microplastics in the region's freshwater environments is a recent development. This study undertakes a systematic review of 228 scholarly articles to map microplastic hotspots in Asian freshwater systems and synthesize current research trends within the continent. Findings reveal a concentration of research in China and Japan, primarily investigating riverine and surface waters through net-based sampling methods. Polyethylene (PE), polypropylene (PP), and polyethylene terephthalate (PET) emerge as the predominant microplastic types, frequently observed as fibers or fragments. However, the diversity of sampling methodologies and reporting metrics complicates data synthesis, underscoring the need for standardized analytical frameworks to facilitate comparative analysis. This paper delineates the distribution of microplastic hotspots and outlines the prevailing challenges and prospects in microplastic research within Asian freshwater contexts.
    Matched MeSH terms: China
  4. Fulltext A 12-week Taijiquan practice improves balance control and functional fitness in fall-prone postmenopausal women
    Bai X, Xiao W, Soh KG, Zhang Y
    Front Public Health, 2024;12:1415477.
    PMID: 38989125 DOI: 10.3389/fpubh.2024.1415477
    PURPOSE: Falls are the leading cause of accidental death among older persons, with postmenopausal women facing a greater hazard of falling due to osteoporosis. This study aimed to examine the effects of Taijiquan practice on balance control and functional fitness in at-risk females.

    METHODS: Chinese women who self-reported a tendency to fall and had a baseline one-leg stand test time (4.1 s in the Taijiquan group) below the national average for their age group (60-64 years: 10.9 s, 65-69 years: 9.9 s) were assigned to either a control group (n = 26, mean age = 63.9 years) or a Taijiquan group (n = 24, mean age = 63.9 years). The Taijiquan group participated in a 12-week supervised intervention, while the control group maintained their daily activities. The average duration of each exercise session was 52 min. Static balance and functional fitness were assessed at the beginning and end of the intervention.

    RESULTS: After 12 weeks, the Taijiquan group significantly outperformed the control group in terms of balance, flexibility, and muscular fitness (all p 

    Matched MeSH terms: China
  5. A comparative analysis of real-time quantitative PCR and metabarcoding methods for eDNA-based detection of the toxic dinophyte Alexandrium tamiyavanichii (Dinophyceae)
    Hii KS, Abdul Manaff AHN, Gu H, Lim PT, Leaw CP
    Mar Environ Res, 2024 Jul;199:106593.
    PMID: 38852495 DOI: 10.1016/j.marenvres.2024.106593
    The marine dinophyte Alexandrium tamiyavanichii is a toxigenic species that produces a group of neurotoxins that is responsible for paralytic shellfish poisoning in humans. Early detection of the species is essential for efficient monitoring. Harmful microalgal monitoring systems have evolved over the years with the advent of environmental DNA (eDNA)-based species detection techniques. In this study, eDNA samples were collected from a large-scale sampling covering the southern South China Sea. The sensitivity and specificity of metabarcoding of the V4 and V9 18S ribosomal DNA barcodes by high-throughput sequencing (HTS) were compared to the species-specific real-time qPCR targeting the A. tamiyavanichii ITS2 region. Environmental samples were screened for A. tamiyavanichii by qPCR (n = 43) and analyzed with metabarcoding (n = 30). Our results revealed a high occupancy profile across samples for both methods; 88% by qPCR, and 80-83% by HTS. When comparing the consistency between the two approaches, only two samples out of 30 were discordant. The V4 and V9 molecular units detected in each sample were positively correlated with the qPCR ITS2 gene copies (V4, rs = 0.67, p 
    Matched MeSH terms: China
  6. Fulltext Health status and genetic compositions of green turtles (Chelonia mydas) foraging in Brunei Bay
    Joseph J, Nishizawa H, Jalimin SN, Othman R, Jaaman SA, Bali J, et al.
    PLoS One, 2023;18(11):e0293979.
    PMID: 37943882 DOI: 10.1371/journal.pone.0293979
    Long-term monitoring of sea turtle aggregations is critical for understanding the impacts of environmental changes on their population health and habitat suitability. Brunei Bay is a significant foraging ground for green turtles in the South China Sea. We analyzed the body size, hematology and body condition of green turtles for their health status in their foraging ground in Brunei Bay over a period of nine years (2011-2019). Additionally, we used mitochondrial DNA (mtDNA) to evaluate changes in the size and genetic composition of green turtle aggregations. Our findings revealed that the size composition of the green turtle population varied seasonally, but there were no significant temporal changes in genetic and size compositions. Hematology parameters and Fulton's body condition index were consistent with those reported for apparently healthy green turtles. Furthermore, we found that blood reference intervals indicated the turtles were healthy. These results provide valuable baseline data for future comparisons with other foraging aggregations and for long-term monitoring of green turtles in Brunei Bay.
    Matched MeSH terms: China
  7. Asia-Pacific Leukemia Consortium: An innovative and collaborative initiative to improve care of leukemia and related diseases in the Asia-Pacific region
    Lao Z, Tse EWC, Chuncharunee S, Kwong YL, Wei A, Ko BS, et al.
    Asia Pac J Clin Oncol, 2023 Dec;19(6):655-663.
    PMID: 37259880 DOI: 10.1111/ajco.13970
    The burden of leukemia and related diseases is rapidly growing in Asia. Currently, there is a paucity of regional collaborative groups/initiatives that focus exclusively on the management of leukemia in the Asia-Pacific (APAC) region. The Asia-Pacific Leukemia Consortium (APLC) was established on the 8 September 2021 to understand the status quo, unmet needs, and ways to improve the management of leukemia and related diseases in the APAC region. The APLC working group set up a group of experts from various countries (Singapore, Malaysia, Thailand, Hong Kong, Japan, South Korea, Taiwan, China, and Australia) to discuss on the status of: (i) clinical trials; (ii) disease registry database; (iii) genetic and tissue repository; (iv) patient advocacy and care; and (v) disease prevention and education in the APAC region. Low levels of awareness about leukemia amongst the public, lack of financial support, and limited access to newly approved therapies were identified as barriers to the implementation of effective leukemia management in low- or mid-income Asian countries. Patients often enroll in clinical trials to gain access to novel/approved therapies. The APLC group aims to address the growing threat of leukemia through a collaborative approach to advance disease prevention, research, clinical trials, and education.
    Matched MeSH terms: China
  8. Fulltext The Connection between Absorptive Capacity and Green Innovation: The Function of Board Capital and Environmental Regulation
    Javeed SA, Teh BH, Ong TS, Lan NTP, Muthaiyah S, Latief R
    Int J Environ Res Public Health, 2023 Feb 10;20(4).
    PMID: 36833812 DOI: 10.3390/ijerph20043119
    The stress of environmental regulations, sustainable development objectives, and global warming is becoming more prominent now. Most studies conclude that the industrial sector is largely at fault and under tremendous pressure to address these climate change issues. This study highlights the significance of green innovation to Chinese firms in mitigating these conservational challenges, and the study probes the association between green innovation and absorptive capacity. Additionally, board capital (the social and human capital of directors) and environmental regulation-both drivers of green innovation-are explored as moderators between green innovation and absorptive capacity. With appropriate econometric methods and theoretical support from the natural resource-based review, the resource dependency theory, and the Porter hypothesis, the results indicate the positive relationship between green innovation and absorptive capacity. They also reveal board capital and environmental regulation as positive moderators, emphasizing their significance to green innovation. This study offers several suggestions and directives for stakeholders, such as businesses, policymakers, and governments, to foster green innovation for greater profitability, minimizing negative industrial consequences.
    Matched MeSH terms: China
  9. Fulltext Enhancing Food Security through Digital Inclusive Finance: Evidence from Agricultural Enterprises in China
    Huang S, Nik Azman NH
    Int J Environ Res Public Health, 2023 Feb 08;20(4).
    PMID: 36833648 DOI: 10.3390/ijerph20042956
    As a means of enhancing food security, efficient agricultural processing and the maintenance of a smooth supply chain are essential for ensuring food quality and reducing food wastage. Agricultural enterprises play a crucial role in the processing and transportation of food from farms to dinner tables. Operating income growth plays the vital role of ensuring that agricultural enterprises function in a stable manner while also indicating the quantity and quality of market food supply. Therefore, the objective of this study is to explore the impact of digital inclusive finance on food security by analyzing the effect of digital inclusive finance on the operating income of agricultural enterprises in China. By applying pooled OLS analysis to Chinese agricultural enterprises that are listed in the National Equities Exchange and Quotations, this study finds that digital inclusive finance can help improve agricultural operating income. The results reveal that digital inclusive finance can facilitate the promotion of agricultural operating income by increasing the supply of financing, accelerating inventory liquidity, and supporting investment in research and development. In addition, this study concludes that digital inclusive finance is more effective for increasing agricultural operating income as a result of its wider coverage and deeper utilization. Furthermore, the development of traditional finance is still necessary for the digitization of digital inclusive finance to be effective.
    Matched MeSH terms: China
  10. Has green finance improved China's ecological and livable environment?
    Yang A, Huan X, Teo BSX, Li W
    Environ Sci Pollut Res Int, 2023 Apr;30(16):45951-45965.
    PMID: 36710307 DOI: 10.1007/s11356-023-25484-w
    Green finance can promote economic transformation and technological innovation and play a key role in solving the ecological environment and energy crisis. This paper constructs a comprehensive ecological livable environment evaluation system based on the provincial panel data in China from 2011 to 2019. At the same time, the panel mediation effect and spatial econometric model are used to test the impact of green finance on the ecological and livable environment. The main research conclusions include the following: (1) green finance has significantly improved China's ecological and livable environment; (2) green finance improves the ecological and livable environment by improving the level of technological innovation; (3) the impact of green finance on the ecological livable environment has regional heterogeneity, and green finance in the central provinces has a better effect on the improvement of the ecological livable environment; and (4) the ecological livable environment among Chinese provinces has a significant positive spatial correlation. Among them, green finance has significantly improved the local ecological livable environment but reduced the ecological livable environment of surrounding provinces. Based on the above conclusions, this paper suggests that the government should pay more attention to green finance and technological innovation and coordinate the development of the ecological livable environment among provinces. The research results provide empirical evidence for better developing green finance and improving the ecological livable environment and also provide certain theoretical guidance for China's coordinated regional development and high-quality economic development.
    Matched MeSH terms: China
  11. First report of the genus Spinomarmessoidea (Phasmatodea, Lonchodidae, Necrosciinae) from China, with the description of a new species
    Gao HR, Yong-He Li
    Zootaxa, 2023 Feb 09;5239(2):280-288.
    PMID: 37045098 DOI: 10.11646/zootaxa.5239.2.6
    The recently described genus Spinomarmessoidea is comprised of only 2 species from Peninsular Malaysia. The 3rd species of this genus, Spinomarmessoidea damingensis sp. nov. is described from Guangxi Province, China. The new species represents the first record of this genus in China. The granulose head of new species without large spines and mesonotum with short spines are distinguished from the other 2 species. A key to the female of this genus is compiled. Type materials are deposited in the Yunnan Agricultural University (YNAU).
    Matched MeSH terms: China
  12. Ecological footprints and sustainable environmental management: A critical view of China's economy
    Li M, Badeeb RA, Dogan E, Gu X, Zhang H
    J Environ Manage, 2023 Dec 01;347:118994.
    PMID: 37722155 DOI: 10.1016/j.jenvman.2023.118994
    Global economies have recently been concerned about sustainable environmental management by reducing emissions and tackling ecological footprints. The rapid economic expansion and investment in traditional manufacturing further raises environmental degradation. China surpasses other emerging economies in the economic growth race yet has remained the top pollution-emitting economy for the last few decades, necessitating scholarly attention. This study examines the influencing factors of ecological footprints in China from the perspective of COP27. Using the extended dataset from 1988 to 2021, this study uses several time series diagnostic tests and verifies the existence of the long-run association between the study variables. Consequently, the non-linear scattered data leads to non-parametric (method of moment quantile regression) adoption. The empirical results indicate that only economic growth is a significant factor in environmental quality degradation in China. However, improving renewable energy usage, research and development, and foreign direct investment reduces the country's ecological footprint. Hence, the latter variables substantially lead to environmental sustainability. The robustness of the results is confirmed via a robust non-parametric estimator and causality test. Based on the empirical results, this study recommends increased investment in research and development, renewable production, and foreign direct investment enhancement.
    Matched MeSH terms: China
  13. Fulltext A Community of Shared Future for Mankind: A study on the news discourse of environmental cooperation in countries along the Belt and Road Initiative
    Liu N, Yasin MAI, Alsagoff SA, Ng CF, Li M
    PLoS One, 2023;18(10):e0293296.
    PMID: 37871035 DOI: 10.1371/journal.pone.0293296
    'The Belt and Road Initiative' (B&R) was proposed by Chinese President Xi Jinping in September and October 2013 and is now actively supported and participated by more than 100 countries and international organizations. B&R has become a hot topic all over the world since its inception. However, the environmental issues arising from this Initiative should not be underestimated. The concept of 'A Community of Shared Future for Mankind' is being promoted under the context of globalization, and there has been a lot of coverage in the mainstream media from various countries on the topic of environmental cooperation along B&R. This study takes a sample of reports on the 'Belt and Road Environmental Cooperation' from July 2021 to August 2022 and uses Van Dijk's theory of news discourse analysis to analyze 20 articles in depth. This study attempts to explore the kind of thematic structure and lexical style that the mainstream newspapers from different countries use to report the environmental cooperation among the countries along B&R, also the implications of such a thematic structure and lexical style, and the characteristics of the discourse construction of mainstream newspapers in different countries. The research has found that B&R countries are used to holding a positive attitude to make a report and seek international cooperation. The headlines are mostly made up of nouns, and both direct and indirect quotations are used. Besides, to enhance the truth of the report, different number types are also involved; the theme structures are often made up of a two-level hierarchy.
    Matched MeSH terms: China
  14. Fulltext A Convolutional Neural Network-Based Model for Supply Chain Financial Risk Early Warning
    Yin LL, Qin YW, Hou Y, Ren ZJ
    Comput Intell Neurosci, 2022;2022:7825597.
    PMID: 35463225 DOI: 10.1155/2022/7825597
    At present, there are widespread financing difficulties in China's trade circulation industry. Supply chain finance can provide financing for small- and medium-sized enterprises in China's trade circulation industry, but it will produce financing risks such as credit risks. It is necessary to analyze the causes of the risks in the supply chain finance of the trade circulation industry and measure these risks by establishing a credit risk assessment system. In this article, a supply chain financial risk early warning index system is established, including 4 first-level indicators and 29 third-level indicators. Then, on the basis of the supply chain financial risk early warning index system, combined with the method of convolution neural network, the supply chain financial risk early warning model of trade circulation industry is constructed, and the evaluation index is measured by the method of principal component analysis. Finally, the relevant data of trade circulation enterprises are selected to make an empirical analysis of the model. The conclusion shows that the supply chain financial risk early warning model and risk control measures established in this article have certain reference value for the commercial circulation industry to carry out supply chain finance. It also provides guidance for trade circulation enterprises to deal with supply chain financial risks effectively.
    Matched MeSH terms: China
  15. Contributions of climate change and human activities to grassland degradation and improvement from 2001 to 2020 in Zhaosu County, China
    Zhang M, Zhang F, Guo L, Dong P, Cheng C, Kumar P, et al.
    J Environ Manage, 2023 Dec 15;348:119465.
    PMID: 37924697 DOI: 10.1016/j.jenvman.2023.119465
    Grassland degradation poses a serious threat to biodiversity, ecosystem services, and human well-being. In this study, we investigated grassland degradation in Zhaosu County, China, between 2001 and 2020, and analyzed the impacts of climate change and human activities using the Miami model. The actual net primary productivity (ANPP) obtained with CASA (Carnegie-Ames-Stanford Approach) modeling, showed a decreasing trend, reflecting the significant degradation that the grasslands in Zhaosu County have experienced in the past 20 years. Grassland degradation was found to be highest in 2018, while the degraded area continuously decreased in the last 3 years (2018-2020). Climatic factors for found to be the dominant factor affecting grassland degradation, particularly the decrease in precipitation. On the other hand, human activities were found to be the main factor affecting improvement of grasslands, especially in recent years. This finding profoundly elucidates the underlying causes of grassland degradation and improvement and helps implement ecological conservation and restoration measures. From a practical perspective, the research results provide an important reference for the formulation of policies and management strategies for sustainable land use.
    Matched MeSH terms: China
  16. An evaluation framework for quantifying vegetation loss and recovery in response to meteorological drought based on SPEI and NDVI
    Wu C, Zhong L, Yeh PJ, Gong Z, Lv W, Chen B, et al.
    Sci Total Environ, 2024 Jan 01;906:167632.
    PMID: 37806579 DOI: 10.1016/j.scitotenv.2023.167632
    Drought affects vegetation growth to a large extent. Understanding the dynamic changes of vegetation during drought is of great significance for agricultural and ecological management and climate change adaptation. The relations between vegetation and drought have been widely investigated, but how vegetation loss and restoration in response to drought remains unclear. Using the standardized precipitation evapotranspiration index (SPEI) and the normalized difference vegetation index (NDVI) data, this study developed an evaluation framework for exploring the responses of vegetation loss and recovery to meteorological drought, and applied it to the humid subtropical Pearl River basin (PRB) in southern China for estimating the loss and recovery of three vegetation types (forest, grassland, cropland) during drought using the observed NDVI changes. Results indicate that vegetation is more sensitive to drought in high-elevation areas (lag time  8 months). Vegetation loss (especially in cropland) is found to be more sensitive to drought duration than drought severity and peak. No obvious linear relationship between drought intensity and the extent of vegetation loss is found. Regardless of the intensity, drought can cause the largest probability of mild loss of vegetation, followed by moderate loss, and the least probability of severe loss. Large spatial variability in the probability of vegetation loss and recovery time is found over the study domain, with a higher probability (up to 50 %) of drought-induced vegetation loss and a longer recovery time (>7 months) mostly in the high-elevation areas. Further analysis suggests that forest shows higher but cropland shows lower drought resistance than other vegetation types, and grassland requires a shorter recovery time (4.2-month) after loss than forest (5.1-month) and cropland (4.8-month).
    Matched MeSH terms: China
  17. The flashbulb-like nature of memory for the first COVID-19 case and the impact of the emergency. A cross-national survey
    Lanciano T, Alfeo F, Curci A, Marin C, D'Uggento AM, Decarolis D, et al.
    Memory, 2024 Feb;32(2):264-282.
    PMID: 38315731 DOI: 10.1080/09658211.2024.2310554
    Flashbulb memories (FBMs) refer to vivid and long-lasting autobiographical memories for the circumstances in which people learned of a shocking and consequential public event. A cross-national study across eleven countries aimed to investigate FBM formation following the first COVID-19 case news in each country and test the effect of pandemic-related variables on FBM. Participants had detailed memories of the date and others present when they heard the news, and had partially detailed memories of the place, activity, and news source. China had the highest FBM specificity. All countries considered the COVID-19 emergency as highly significant at both the individual and global level. The Classification and Regression Tree Analysis revealed that FBM specificity might be influenced by participants' age, subjective severity (assessment of COVID-19 impact in each country and relative to others), residing in an area with stringent COVID-19 protection measures, and expecting the pandemic effects. Hierarchical regression models demonstrated that age and subjective severity negatively predicted FBM specificity, whereas sex, pandemic impact expectedness, and rehearsal showed positive associations in the total sample. Subjective severity negatively affected FBM specificity in Turkey, whereas pandemic impact expectedness positively influenced FBM specificity in China and negatively in Denmark.
    Matched MeSH terms: China
  18. The Use of the Health Belief Model in the Context of Heatwaves Research: A Rapid Review
    Ullah F, Ragazzoni L, Hubloue I, Barone-Adesi F, Valente M
    Disaster Med Public Health Prep, 2024 Feb 22;18:e34.
    PMID: 38384190 DOI: 10.1017/dmp.2024.26
    As heatwaves increase and intensify worldwide, so has the research aimed at outlining strategies to protect individuals from their impact. Interventions that promote adaptive measures to heatwaves are encouraged, but evidence on how to develop such interventions is still scarce. Although the Health Belief Model is one of the leading frameworks guiding behavioral change interventions, the evidence of its use in heatwave research is limited. This rapid review aims to identify and describe the main themes and key findings in the literature regarding the use of the Health Belief Model in heatwaves research. It also highlights important research gaps and future research priorities. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 10 articles were included, with a geographic distribution as follows: United States (n = 1), Australia (n = 1), Pakistan (n = 1), and China (n = 1), as well as Malaysia (n = 2), Germany (n = 1), and Austria (n = 1). Results showed a lack of research using the Health Belief Model to study heatwaves induced by climate change. Half of the studies assessed heatwave risk perception, with the 2 most frequently used constructs being Perceived Susceptibility and Perceived Severity. The Self-efficacy construct was instead used less often. Most of the research was conducted in urban communities. This review underscores the need for further research using the Health Belief Model.
    Matched MeSH terms: China
  19. Sectoral foreign direct investment and environmental degradation: new insights from diversification of energy mix containing fossil fuels and renewable energy
    Solarin SA, Sahu PK
    Environ Sci Pollut Res Int, 2023 Aug;30(40):91853-91873.
    PMID: 37480530 DOI: 10.1007/s11356-023-28741-0
    The objective of the study is to extend the existing literature by investigating the effects of foreign direct investment, gross domestic products and per capita and energy diversification on the nitrogen oxide emissions in Brazil, Russia, India, China and South Africa (BRICS) by using annual data during the period 1992-2019. As per our knowledge, the present study is a first of its kind to examine the impact of a new energy diversification index, based on Herfindahl-Hirschman framework on pollution. This study has adopted a new quantile regression augmented method of moments, which is capable of producing the total impacts of the independent variables across the entire distribution of nitrogen oxides emissions. The findings suggest that an increase in foreign direct investment leads to a decrease in nitrogen oxides emissions at the aggregate level and in both manufacturing and service sectors. We observe that foreign direct investment leads to an increase in nitrogen oxides emissions in the agricultural sector in most of the quantiles. Diversification towards renewable energy causes a decrease in nitrogen oxides emissions in most quantiles at aggregate level, agricultural and manufacturing sectors, whilst diversification leads to an increase in nitrogen oxides emissions in the service sector. The findings also suggest that GDP per capita leads to an increase in NOx emissions in all the quantiles. The study suggests the policy to use and attract more clean energy through foreign direct investment for towards the achievement of sustainable development.
    Matched MeSH terms: China
  20. Fulltext Implementation of Brain Breaks® in the Classroom and Its Effects on Attitudes towards Physical Activity in a Chinese School Setting
    Zhou K, He S, Zhou Y, Popeska B, Kuan G, Chen L, et al.
    Int J Environ Res Public Health, 2021 01 01;18(1).
    PMID: 33401384 DOI: 10.3390/ijerph18010272
    This study aimed to examine the effects of three-months of classroom-based Brain Breaks Physical Activity Solution (Brain Breaks®) on attitudes toward physical activity levels of primary school children in Henan Province, China. The participants were 704 children enrolled in grades 3-5 who were randomly assigned to either an experimental or a control group. The experimental group participated in Brain Breaks® video intervention for 3-5 min daily, at low-to-moderate intensity for three consecutive months. The control group resumed their normal routine. The children's attitudes in both groups towards physical activity (PA) were evaluated using the self-reported Attitudes toward Physical Activity Scale (APAS), before and after the intervention. The effects of the intervention on APAS scores were analyzed using mixed model analysis of variance with Time as within-subject, and Group as between-subject factors. The analysis revealed evidence in support of the positive effect of classroom video interventions such as Brain Break on children's attitudes toward importance, fun, and trying to do their personal best in physical activity. Also revealed was the important role the teacher plays in this process.
    Matched MeSH terms: China
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