Publications by authors named "Shilei Hu"

The implementation of green financial reform and innovation pilot zones is a pivotal initiative aimed at directing financial resources more effectively towards green transformation and national sustainable development strategy. To this end, this study adopts a dual machine learning model to examine the effect of this pilot policy on energy intensity and the underlying mechanisms, drawing upon data from 254 cities in China spanning from 2006 to 2019. The conclusions obtained confirm that the establishment of these pilot zones has exerted a substantial impact on mitigating energy intensity.

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Digitalization, as a crucial engine for promoting sustainable development, has created new prospects for enterprise green transformation. Utilizing panel data from enterprises registered in China's resource-based cities from 2010 to 2021, this study innovatively examines the role of digitalization in promoting green transformation across two key performance dimensions. The findings indicate that enterprise digitalization significantly enhances the green innovation performance, while its impact on environmental performance, although positive, is not statistically significant.

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In the new era of global net zero, how to reduce carbon intensity became a hot topic, while few attentions had been paid to the impacts of casual environmental regulation, especially in the emerging economy such as China. In this regard, this study uses the panel data of 30 provinces in China from 2003 to 2019 to study the impacts of causal environmental regulation on the carbon intensity, with the adoption of multiple econometric models. The empirical results show that causal environmental regulation has a significant inhibitory effect on carbon intensity, while at current stage, causal environmental regulation cannot inhibit carbon intensity through the mediating of green innovation and renewable energy production.

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The expansion of China's development zones has made great contributions to economic development, as well as provided practical guidance for other developing countries to implement development zone policies. However, in the context of global advocacy of low carbon, literature about how the development zone policy affect carbon emissions is poor, especially in China at the urban level. Therefore, this study takes China's development zone policy as a quasi-natural experiment, using the panel data of 285 cities in China from 2003 to 2020, and adopting the DID model to analyze its impact on carbon emissions.

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Central environmental protection inspection (CEPI) is a major institutional innovation in China's environmental governance, but its effectiveness in improving air quality is still unclear. However, the effectiveness of CEPI is of great significance and can be regarded as an important reference for deepening the reform of environmental governance system in China. This article takes the CEPI as a quasi-natural experiment and uses the regression discontinuity design (RDD) and the difference-in-differences (DID) methods to examine the effectiveness of this policy.

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Soil heavy metal pollution and the prevalence of resistance genes have been a global concern, and thus many studies have reported the content of heavy metals and resistance genes in soils; however, the contents of heavy metals and antibiotic resistance genes (ARGs) in the soil in highland areas is still unclear. In this study, the environmental residues and distribution of heavy metals and resistance genes in the soil in Qinghai were analyzed, and the relationship between the concentration of heavy metals and antibiotic resistance genes in the soil was explored. Among the soil samples, the content of heavy metal zinc was the highest [mean: (50.

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Perfluoroalkyl acids (PFAAs) are widely present in human blood, and have many toxic effects on humans. However, effects of PFAA exposure on the risk of rheumatic immune diseases are limited. In the present study, occurrence of 7 PFAAs, including perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorononanoate (PFNA), perfluorodecanoate (PFDA), perfluoroundecanoate (PFUnA), perfluorododecanoate (PFDoA), and perfluorotrdecanoate (PFTrA), were measured in serum samples from 156 healthy people (controls) and 156 rheumatoid arthritis (RA) cases living in Hangzhou, China.

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Marine sediments act as a sink for various heavy metals, which may have profound impact on sedimentary microbiota. However, our knowledge about the collaborative response of bacterial community to chronic heavy metal contamination remains little. In this study, concentrations of seven heavy metals (As, Cd, Cr, Cu, Hg, Pb, and Zn) in sediments collected from the East China Sea were analyzed and Illumina Miseq 16 S rRNA sequencing was applied to characterize the structure of bacterial community.

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Per-/polyfluoroalkyl substances (PFASs) are ubiquitous in the environment and have been proved to be immunotoxic to humans. However, it remains unclear whether exposure to PFASs affects the risk of rheumatoid arthritis (RA). In this study, nine PFASs were determined in human serum collected from 280 health populations and 294 RA patients in a cohort enrolled between 2018 and 2020 in Hangzhou, China, and were examined their correlations with immune marker levels.

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Background: The effect of environmental factors on genetically susceptible individuals is a basic link in the pathogenesis of rheumatoid arthritis. Perfluoroalkyl substances (PFASs) are a class of synthetic organic fluorine chemicals, which have been mass-produced and widely used in the past 60 years, and also have been shown to be one of the major pollutants affecting human health. The impact of fluoride on the development of Rheumatoid Arthritis (RA) is unclear.

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