Spatiotemporal association of carbon dioxide emissions in China's urban agglomerations.

The reduction of carbon dioxide (CO) emissions and sustainable development in low-carbon ways are of great significance to urban agglomerations. However, few studies are exploring the relationship between CO emissions and socioeconomic development at city levels from the perspective of clusters of regions. Based on the open data of inventory for anthropogenic CO emissions, nighttime light data, and population dataset as a proxy for the socioeconomic development levels of urban agglomerations, we used Mann-Kendall trend test, Tapio decoupling analysis, and spatial autocorrelation analysis to explore the spatiotemporal association of CO emissions and the impact of socioeconomic development on emissions in the nineteen urban agglomerations in China.

The prevalence and burden of four major chronic diseases in the Shanxi Province of Northern China.

Background: Chronic non-communicable diseases constitute an important public health problem that is closely related to behavioral risk factors. The study examined the prevalence, burden, and behavioral risk factors relevant to four major chronic diseases in Shanxi Province, China. The results obtained could provide a basis for the formulation of chronic disease prevention and control strategies in north China.

Decoupling and scenario analysis of economy-emissions pattern in China's 30 provinces.

The tension between reducing CO emissions and economic growth has become increasingly prominent in recent years, while China is vigorously promoting ecological civilization to achieve sustainable development. However, the factors influencing China's current economic emission nexus at the regional and provincial levels and the sustainability of the strong decoupling state remain unclear. We analyze the decoupling of emissions at the national and provincial levels of the Chinese economy from the perspective of historical patterns and current drivers from 1997 to 2019.

How to Efficiently Reduce the Carbon Intensity of the Heavy Industry in China? Using Quantile Regression Approach.

This decoupling between carbon dioxide emissions and the heavy industry is one of the main topics of government managers. This paper uses the quantile regression approach to investigate the carbon intensity of China's heavy industry, based on 2005-2019 panel data. The main findings are as follows: (1) incentive-based environmental regulations have the greater impact on the carbon intensity in Jiangsu, Shandong, Zhejiang, Henan, Liaoning, and Shaanxi, because these provinces invest more in environmental governance and levy higher resource taxes; (2) the impact of mandatory environmental regulations on carbon intensity in Beijing, Tianjin, and Guangdong provinces is smaller, since these three provinces have the fewest enacted environmental laws and rely mainly on market incentives; (3) conversely, foreign direct investment has contributed most to carbon intensity reduction in Tianjin, Beijing, and Guangdong provinces, because these three have attracted more technologically advanced foreign-funded enterprises; (4) technological progress contributes more to the carbon intensity in the low quantile provinces, because these provinces have more patented technologies; (5) the carbon intensity of Shaanxi, Shanxi, and Inner Mongolia provinces is most affected by energy consumption structures because of their over-reliance on highly polluting coal.

Agriculture-Induced NO Emissions and Reduction Strategies in China.

Greenhouse gases are one of the most important factors in climate change, their emissions reduction is a global problem. Clarifying the spatial patterns of NO, as an important component of greenhouse gases, it is of great significance. Based on the planting and breeding data of China from 2000 to 2019, this paper measures the NO emissions of agricultural systems, and uses kernel density to explore the spatial distribution differences between the eight major economic zones.

Regional Inequalities and Influencing Factors of Residents' Health in China: Analysis from the Perspective of Opening-Up.

While opening-up promotes regional economic development, its impact on the residents' health level cannot be ignored. Based on provincial data of China from 2009 to 2020, the Gini Coefficient and Theil Index are used to analyze the regional inequalities in residents' health in China. The Difference-in-Difference model is constructed to study the impact of China's opening-up policies and other factors on residents' health.

Analysis of the interprovincial embodied carbon flow network of China's exports.

We calculate the embodied carbon emissions of China's through the multiregional input-output (MRIO) method, then we construct the interprovincial embodied carbon flow networks of China's exports based on the mean threshold, and the application of complex network analysis to conduct a detailed examination of the overall characteristics, key nodes and edges, and community structure of China's interprovincial embodied carbon flow network. We extended the embodied carbon flow network analysis at the provincial level. The results demonstrated the following: (1) The interprovincial embodied carbon flow network of China's exports has small-world and scale-free characteristics.

Selection of outsourcing logistics providers in the context of low-carbon strategies.

As more attention is given to climate change and sustainable development in China, enterprises start to care about carbon emissions related to their supply chains. One important issue faced by an enterprise is to select a logistics provider who can provide a high-quality service with low carbon levels. To solve this issue, this paper proposes a selection criterion from the perspective of low carbon levels based on previous studies.

Probe into the Low-Carbon Economic Environment Challenges and Opportunities of Textile and Garment Export.

Ecological and environmental protection is the main problem of China's economic construction. As one of the high-energy-consuming industries, the traditional textile printing and dyeing industry has led to great concern from all walks of life in the context of the country's in-depth promotion of energy conservation and consumption reduction. The comprehensive development of a low-carbon economy is the fundamental guarantee for China to solve the problem of climate warming and complete the sustainable development of economic development.

Environmental regulation, R&D investment, and green technology innovation in China: Based on the PVAR model.

The unreasonable economic development model of human beings has caused the environmental pollution problem to become increasingly serious. In order to achieve a positive relationship and interaction between environmental regulation, research and development (R&D) investment, and green technology innovation, and effectively solve the "strange circle" problem between high-quality economic development and environmental pollution in China and even the world, this paper takes the panel data of industrial enterprises above designated size in Chinese mainland 31 provinces from 2009 to 2019 as a research sample. The comprehensive index of R&D investment and green technology innovation was established by the entropy method, and the panel vector autoregressive (PVAR) model was constructed from the dynamic endogenous perspective, and the dynamic interaction and regional heterogeneity between environmental regulation, R&D investment, and green technology innovation were empirically analyzed by using impulse response function and variance decomposition.

A tree-based gene-environment interaction analysis with rare features.

Gene-environment (G-E) interaction analysis plays a critical role in understanding and modeling complex diseases. Compared to main-effect-only analysis, it is more seriously challenged by higher dimensionality, weaker signals, and the unique "main effects, interactions" variable selection hierarchy. In joint G-E interaction analysis under which a large number of G factors are analysed in a single model, effort tailored to rare features (e.

The role of high-speed rail on green total factor productivity: evidence from Chinese cities.

Compared with other transportation facilities, high-speed rail (HSR) may be more beneficial to "green development." Based on a sample of 276 cities in China over 2005-2019, this study calculates the actual and change values of green total factor productivity (GTFP) with the stochastic frontier approach (SFA) and investigates the effect of HSR on GTFP using the time-varying difference-in-difference model and propensity score matching analysis. Our research results show a significantly positive effect of HSR on GTFP through reducing energy consumption and environmental pollution, as well as improving technological innovation.

Occurrence, spatial heterogeneity, and risk assessment of perfluoroalkyl acids (PFAAs) in the major rivers of the Tibetan Plateau.

The Tibetan Plateau (TP) is home to the headwaters of major rivers in Asia, yet their water quality security on a large spatial scale is scarcely studied, especially in regard to emerging organic pollutants. In this study, a systematic field campaign was carried out along Yarlung Tsangpo River, Nu River, Lancang River and Jinsha River, and 13 perfluoroalkyl acids (PFAAs) were analyzed. The total concentrations of PFAAs in the river waters of the TP were in the range of 0.

Impaired Brain Information Transmission Efficiency and Flexibility in Parkinson's Disease and Rapid Eye Movement Sleep Behavior Disorder: Evidence from Functional Connectivity and Functional Dynamics.

Parkinson's disease (PD) is a common neurodegenerative disorder. Rapid eye movement sleep behavior disorder (RBD) is one of the prodromal symptoms of PD. Studies have shown that brain information transmission is affected in PD patients.

New marketing strategies for online group-buying business from a social interaction theory perspective.

Companies that use online group-buying to get new business expansion opportunities at a price advantage are failing. Therefore, there is a need to develop new marketing strategies for group-buying companies to achieve market share and consumer favor. Given that consumers are society members, we used the social interaction theory to investigate the combination of factors that stimulate consumers' purchase intentions.

Is There a Missing Link? Exploring the Effects of Institutional Pressures on Environmental Performance in the Chinese Construction Industry.

Although institutional pressures have huge strategic implications for organizational activities, this certainly does not mean that organizations under institutional pressures can improve environmental performance automatically. Institutional pressures are critical but not sufficient to affect environmental performance directly. Therefore, additional research is needed to explore the missing link between institutional pressures and environmental performance.

The Analysis and Research on the Influence of Sports Industry Development on Economic Development.

The rapid development of social economy will promote the development of sports industry and then have an impact on sports economy. By using the regression analysis method, this paper compares the influencing factors of sports industry development, aiming at exploring the influence of sports industry development on economic development and its future development trend. This paper takes 12 industries of sports industry development from January 2020 to January 2022 as research objects, compares the development of sports industry of different research objects, and determines the factors affecting sports industry.

The dynamic change of energy supply and demand structure within China: a perspective from the national value chain.

The complexity of the national value chain (NVC) has significantly impacted the level of energy consumption embodied in domestic trade. This paper aims to measure embodied energy and its spatial transfer between provinces and determine the dynamic change in the energy consumption supply and demand structure within China. This paper applies the multiregional input-output model (MRIO) to establish three accounting frameworks from forward-linkage, backward-linkage, and trade in value-added (TiVA) perspectives to comprehensively track energy consumption transfer along the NVC during the period 2007 to 2017.

Coupling and Coordinative Development of Green Finance and Industrial-Structure Optimization in China: Spatial-Temporal Difference and Driving Factors.

Although the literature has studied the direction and extent of the effect of green finance on industrial-structure optimization, quantitative analysis of the coupling coordination and spatial-temporal differences between green finance and industrial structure is relatively scarce. Therefore, in this paper, we built the theoretical framework of the coupling coordination relationship between green finance and industrial-structure optimization, and then we used the coupling coordination degree and geographic detector model to investigate the spatial-temporal evolution characteristics and influencing factors of the coupling coordination between the two based on the panel data of 31 provinces from 2012 to 2019. The results show that China's green finance and industrial-structure optimization have basically reached the primary coupling, and the coupling coordination degree is from 0.

Spatial Heterogeneity and Its Influencing Factors of Syphilis in Ningxia, Northwest China, from 2004 to 2017: A Spatial Analysis.

Syphilis remains a growing and resurging infectious disease in China. However, exploring the influence of environmental factors on the spatiotemporal distribution of syphilis remains under explore. This study aims to analyze the spatiotemporal distribution characteristics of syphilis in Ningxia, Northwest China, and its potential environmental influencing factors.

Indicators From China's Listed Corporations on Corporate Financing Behavior and Policy-Related Risk.

This study explores corporate financing behavior regarding the company and country-level factors and risks associated with policy-related regulations. The study considers all three categories of risk: geopolitical risk, economic policy uncertainty, and political risk. In addition to this, we investigated how the links between diverse types of financing activities and the policy-related risks associated with them change depending on the type of financing strategy utilized (debt vs.

Effects of co-infection on vaccination behavior and disease propagation.

Coinfection is the process of an infection of a single host with two or more pathogen variants or with two or more distinct pathogen species, which often threatens public health and the stability of economies. In this paper, we propose a novel two-strain epidemic model characterizing the co-evolution of coinfection and voluntary vaccination strategies. In the framework of evolutionary vaccination, we design two game rules, the individual-based risk assessment (IB-RA) updated rule, and the strategy-based risk assessment (SB-RA) updated rule, to update the vaccination policy.

Coupling coordination between new urbanisation and carbon emissions in China.

The strategic coordination of a new urbanisation and carbon emissions (NU-CE) systems in China is essential for advancing low-carbon urbanisation and sustainable urban planning. This paper introduces an improved coupling coordination degree (CCD) model, spatial auto-correlation and other methods to evaluate past and future states of coordination. The data, which are collected from the period 2010-2019 and 30 provinces in China, demonstrate the temporal and spatial evolution characteristics of the NU-CE coupling relationship.

A dominant set-informed interpretable fuzzy system for automated diagnosis of dementia.

Dementia is an incurable neurodegenerative disease primarily affecting the older population, for which the World Health Organisation has set to promoting early diagnosis and timely management as one of the primary goals for dementia care. While a range of popular machine learning algorithms and their variants have been applied for dementia diagnosis, fuzzy systems, which have been known effective in dealing with uncertainty and offer to explicitly reason how a diagnosis can be inferred, sporadically appear in recent literature. Given the advantages of a fuzzy rule-based model, which could potentially result in a clinical decision support system that offers understandable rules and a transparent inference process to support dementia diagnosis, this paper proposes a novel fuzzy inference system by adapting the concept of dominant sets that arise from the study of graph theory.

Research on Sustainable Development of Competitive Sports in China Based on PSR and DEA Model.

From the 2008 Beijing Olympic Games to the 2022 Beijing Winter Olympics, the sustainable development of competitive sports has become more and more popular in China. Therefore, for the sustainable development of China's competitive sports, first, the logical relationship of "pressure-state-response" is adopted to select the index system, covering the elements of the economy, society, policy, and so on. Principal component analysis and entropy weight method are used to construct the comprehensive evaluation model of the sustainable development of competitive sports.