ArticleEcological indicators2020
Has air pollution emission level in the Beijing-Tianjin-Hebei region peaked? A panel data analysis.
Article in Ecological indicators, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Mortality and morbidity consequences of particulate matter in South Korea: evidence from transboundary air pollution.BMC public health · 2026Article
- Assessment of ambient air quality in heavy industrial localities: a case study of Yanbu industrial city.Environmental monitoring and assessment · 2023Article
- Influencing factors and decoupling analysis of carbon emissions in China's manufacturing industry.Environmental science and pollution research international · 2021Article
- Impacts of land use and land cover change on the interactions among multiple soil-dependent ecosystem services (case study: Jiroft plain, Iran).Environmental geochemistry and health · 2021Article
- Pathways to progress sustainability: an accurate ecological footprint analysis and prediction for Shandong in China based on integration of STIRPAT model, PLS, and BPNN.Environmental science and pollution research international · 2021Article
- Energy Consumption and Health Insurance Premiums in China's Provinces: Evidence From Asymmetric Panel Causality Test.Frontiers in public health · 2021Article
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Authors and funding
2 authors.
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Abstract
The Beijing-Tianjin-Hebei (BTH) region is one of the important economic centers of China, but it suffers from severe air pollution. Based on the panel pollution-related data of 2013-2017, this research adopted a Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) equation to fit the relationship between pollution emission level and its related socio-economic indicators. The pollution emission level of the BTH region was fitted and projected by using the entropy evaluation method to measure the emission levels, the partial least squares algorithm to estimate the STIRPAT equation parameters, and the hybrid trend extrapolation model to forecast the future development of the above socioeconomic indicators. Empirical analysis showed that the fitting curve to air pollution emission level reached the peak in 2015 and then decreased with a fluctuating and slow process. The air pollution emissions in 2025 will decrease to the level of 2007. With regard to the impacts on the change of the air emission pollution level, industrial waste gas emissions play a decisive role. The influence of soot (dust) emissions is considerably smaller but still larger than that of SO
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