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Haze pollution in China is very serious and has become the source of mortality, affecting the health and lives of residents. The Chinese government adopts different policy measures to reduce haze pollution. The impact of different types of environmental regulations on haze pollution has become a hot topic for academics and government departments. Based on panel data from 2005-2017, this paper studies the effect of different types of environmental regulations on haze pollution in 30 provinces of China using a panel quantile model. The results show that when haze pollution changes from a low quantile to a high quantile, the marginal impact of command-and-control environmental regulation on haze pollution changes from 0.122 to -0.332. Command-and-control environmental regulation can reduce haze pollution, but its impact is not significant. The main reason for this finding is that environmental law enforcement is not strict. The marginal impact of economically restrained environmental regulation on haze pollution changes from -14.389 to 49.939. Economically restrained environmental regulation can reduce haze pollution in low quantiles, but not in high quantiles. The collection of sewage charges fees is far less than the total profit, which has no deterrent effect on enterprises. The marginal impact of public participation in environmental regulation on haze pollution changes from 0.154 to -0.002. Public participation in environmental regulation cannot reduce haze pollution in low quantiles, but can in high quantiles; however its impact becomes insignificant. This study reveals the quantile-based discrepancy in the effect of environmental regulation on haze pollution, and offers a new perspective for research on the effects of environmental regulation.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592848 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0240723 | PLOS |
Sci Rep
September 2025
College of Science, Jiangxi University of Water Resources and Electric Power, 330099, Nanchang, China.
With the acceleration of urbanization in China, haze pollution has become a problem that cannot be ignored. PM is one of the main components of haze, and this paper aims to find a stable and accurate prediction method for PM prediction. Combined with existing studies, BP neural network is commonly used for prediction and optimization, but its accuracy is not satisfactory due to the randomness of the initial parameters of BP neural network.
View Article and Find Full Text PDFEnviron Res
August 2025
School of Environment, State Key Laboratory of Regional Environment and Sustainability, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing, 100084, China. Ele
Organic aerosol (OA) in atmospheric fine particulate matter (PM) has significant impacts on human health, the atmospheric environment, and climate change. Light-absorbing OA, referred to as brown carbon (BrC), is non-negligible during atmospheric processes. However, seasonal and day-night variations, as well as the identification of key driving factors for the dynamic changes in BrC optical properties during continuous haze episodes, remain inadequately understood.
View Article and Find Full Text PDFEnviron Sci Technol
August 2025
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR 999077, China.
Reactive chlorine species can significantly influence the formation of secondary air pollutants. Due to limited observational data, their contribution to haze formation in cold environments remains poorly constrained. In this study, we conducted field measurements of reactive chlorine species in snowy Northeast China, a region frequently affected by wintertime haze events.
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August 2025
Department of Chemistry, Aarhus University, Aarhus, Denmark.
In the past decades, China has witnessed high air pollution associated with rapid economic development, although regulatory efforts have alleviated the situation since 2013. Haze events characterized by high particulate matter (PM) levels in China are not only of enormous magnitude but also represent a distinct chemical regime. Once driven by direct emissions, these high-PM episodes are now more affected by secondary aerosol, especially secondary organic aerosol (SOA).
View Article and Find Full Text PDFToxics
August 2025
College of Environment and Climate, Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China.
In this study, typical haze pollution influenced by biomass burning (BB) activities in Changsha in the autumn of 2024 was investigated through the mixing state and evolution process of BB particles via the real-time measurement of single-particle aerosol mass spectrometry (SPAMS). From the clean period to the haze period, the PM concentration increased from 25 μg·m at 12:00 to 273 μg·m at 21:00 on 12 October, and the proportion of total BB single particles in the total detected particles increased from 17.2% to 54%.
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