Publications by authors named "Yalin Lei"

Article Synopsis
  • - Air pollution, primarily from fossil energy consumption, poses serious health risks to the elderly, particularly affecting their respiratory systems due to age-related decline in body functions.
  • - This study utilizes a binary Logistic regression model to analyze the impact of particulate matter (PM) from fossil energy consumption on the respiratory health of older adults, revealing significant correlations.
  • - Key findings include that coal is a major source of PM, older seniors are more adversely affected, and a cleaner air scenario could help slow the rise in respiratory diseases among the elderly.
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Drawing upon data from the 2018 CHARLS, this paper utilizes MEPI and a 10% threshold indicator to, respectively, assess the energy poverty (EP) status among middle-aged and older adults in China, focusing on the unavailability and unaffordability of energy services. Additionally, an econometric model is constructed to investigate the effects of EP on the health and welfare of middle-aged and older adults. Regression results indicate that EP exerts a significant negative impact on the health and welfare of middle-aged and older adults.

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This study focuses on the efficient removal of Ni(II) from spent lithium-ion batteries (LIBs) to support environmental conservation and sustainable resource management. A composite material, known as molecular sieve (MS)-based metal-organic framework (MOF) composites (MMCs), consisting of a synthesized MS matrix with integrated MOFs, was developed for the adsorption of Ni(II). The structural and performance characteristics of the MMCs were evaluated using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), and N adsorption-desorption isotherms (BET).

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Central Plains urban agglomeration (CPUA) had developed rapidly, but its air pollution was also serious. Despite advances in study on China's PM2.5 emissions from coal consumption (CC), the differentiation characteristics and the affecting variables of PM2.

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China's double carbon target aims to improve human well-being and sustainable development. Energy transformation welfare performance (ETWP) is the efficiency of energy transition (ET) in enhancing human well-being. ETWP considers both human well-being and sustainable development.

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Carbon emission reduction is an environmental and development issue that needs to consider various factors, such as the economy and people's livelihood. Supporting the achievement of emission reduction targets has become an important planning goal for provincial governments; however, there are differences in provincial industrial structure and economic development, which cannot be ignored in goal setting. This study measures the equity degrees of carbon emissions based on economic output by using provincial panel data from 2000 to 2019 and evaluates the spatial distribution characteristics of the carbon emission inequity index (CII).

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PM and CO emissions are of the same origin. Under the double pressure of PM and CO emissions reduction, PM and CO synergistic emissions reduction is an available way to achieve PM and carbon reduction. Previous studies had shown that reducing fossil energy consumption could decrease PM and CO emissions.

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China put forward that it would strive to achieve the carbon peaking in 2030 and carbon neutrality goals in 2060, which needed realizing the synergistic effect of pollution reduction and CO reduction. CO and PM from coal consumption were "homogenous and synchronous" and they had significant synergistic effect. The synergistic reduction of PM from coal consumption could have impacts on public health.

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To better track the source of goods and maintain the quality of goods, the present work uses blockchain technology to establish a system for trusted traceability queries and information management. Primarily, the analysis is made on the shortcomings of the traceability system in the field of agricultural products at the present stage; the study is conducted on the application of the traceability system to blockchain technology, and a new model of agricultural product traceability system is established based on the blockchain technology. Then, a study is carried out on the task scheduling problem of resource clusters in cloud computing resource management.

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Due to the fast growth of China's economy, urban atmospheric pollution has become a serious problem affecting the public's physical and mental health. The '2 + 26' cities, as the Jing-Jin-Ji atmospheric pollution transmission channel, has attracted widespread concern. There were several previous studies on the economic loss of public health caused by PM pollution in '2 + 26' cities.

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Objective: To analyze the supply and demand adaptation of nursery care services for children under 3 in Sichuan Province and to provide strategic suggestions for optimizing nursery care services in Sichuan Province.

Methods: Data on the supply and demand of nursery school services in all 21 cities (prefectures) of Sichuan Province were collected with questionnaires for nursery care institutions and family needs questionnaires. Applying the theory of supply and demand adaptability, we analyzed the adaptability of nursery care services in Sichuan Province in four dimensions, including relevance, adaptability, accessibility and quality.

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The emissions reduction of CO and air pollutants are the main task in China. The two have the same roots and they interact with each other. However, CO and air pollutants are quite different in space, so it is of great practical significance to explore the spatial differences of their synergy.

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After years of governance, China's PM pollution has improved significantly, but some problems remain. PM is the carrier of many heavy metals, and it has a stronger capacity to carry heavy metals, causing more significant harm to public health. At present, most of the studies on PM-bound heavy metals in China are based on individual cities, and there are few studies from China's provincial capital cities.

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The increasing uncertainty related to disaster risk under climate change brings about new challenges for sustainable urban management. The emergence of the urban resilience concept can improve the ability and extent to which cities can absorb and resolve risks, providing insight into the sustainable development of cities and regions. Yet, to date, the impact of climate change on regional urban resilience is not well understood.

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Depression is one of the most prevalent psychiatric disorders and the leading cause of disability among adolescents, with sleep duration as its vital influential factor. Adolescents might be mentally sensitive to the stress caused by the COVID-19 pandemic. Yet, the alteration of adolescents' sleep duration, depression, and their associations within the context of the COVID-19 pandemic have not been well documented.

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To address the CO emissions issue, China promised to increase its nationally determined contributions, trying to reach a CO emissions peak by 2030. For optimizing emission reduction policies, it is important to clarify the CO linkage structure and transfer characteristics. Previous research mainly focused on the calculation and comparison of CO linkage at the national level or the regional level and lacked inter-provincial sector-sector transfer analysis.

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Chronic obstructive pulmonary disease (COPD) is the fourth and third leading cause of death worldwide and in China, respectively. Sedentary behavior has been shown to increase the risk of respiratory disease, such as asthma. However, the relationship between sedentary behavior and COPD is unclear.

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Once, the fast-growing economy has dependence on resources and environment, especially in Central Plains Urban Agglomeration (CPUA). Assessing the relationship between economic growth and resources and environment can be helpful in planning future region development. As there were fewer researches on the decoupling analysis in CPUA, therefore, according to the decoupling index designed by Tapio, this paper connected the resources and the environment to describe the comprehensive decoupling state of economic growth and resources environment as a whole with the latest available data in 2004-2015.

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Carbon dioxide (CO) emissions are currently a hot topic of global concern. It is of great significance for reducing CO emissions to fully understand the transfer pattern of CO emissions among industries and the key factors affecting CO emissions. This paper uses the structural path analysis model to explore deeply the main paths of inter-industry transfer of CO emissions in China from 2002 to 2017 and applies the structural path decomposition model to analyze the main factors affecting CO emissions in specific paths from the perspectives of CO emission intensity, intermediate product input structure, final demand structure, per capita final demand, and population size.

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In China, cities are the basic units for implementing CO abatement policies. However, few studies have comprehensively explored the spatial characteristics of CO emissions (CEs) and their influencing factors at the city level from different perspectives. After collecting spatial data from 280 Chinese prefecture-level cities for 2005, 2012, and 2015, this work firstly uncovered the overall and local spatial characteristics of CEs by adopting spatial autocorrelation analysis.

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At present, the concentration of PM in the Fenwei Plain has become the second highest in China, ranking second to the Beijing-Tianjin-Hebei region. At the same time, China began to monitor and control the PM concentration in the Fenwei Plain, but the data indicated that the concentration of PM in the Fenwei Plain rose instead of falling. PM concentrations in 6 cities from the Fenwei Plain ranked highest among the 20 cities in 2018 in China, and PM pollution can cause some health economic loss.

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China's energy structure is based on coal resource and it accounts for main proportion in the primary energy consumption. Coal consumption produces PM pollution, which seriously affects public health. Considering that there are few studies on the effect PM pollution produced by coal consumption, this paper uses the Poisson Regression model to estimate the impacts on public health and the economic loss of PM pollution produced by coal consumption using the data in 2015.

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