文献类型：期刊文献

英文题名：Nonlinear effects of environmental regulation on PM2.5 and CO2 in China: Evidence from a quantile-on-quantile approach

作者：Hou, Mengyang[1,2,3];Cui, Xuehua[1,3];Chu, Liqi[4];Wang, He[1,3];Xi, Zenglei[1,2,3];Deng, Yuanjie[5]

第一作者：Hou, Mengyang

通讯作者：Chu, LQ[1]

机构：[1]Hebei Univ, Sch Econ, Baoding 071000, Peoples R China;[2]Hebei Univ, Res Ctr Resources Utilizat & Environm Conservat, Baoding 071000, Peoples R China;[3]Baoding Key Lab Carbon Neutralizat & Data Sci, Baoding 071002, Hebei, Peoples R China;[4]Henan Univ Econ & Law, Sch Engn Management & Real Estate, Zhengzhou 450046, Peoples R China;[5]Sichuan Univ Sci & Engn, Sch Econ, Zigong 643000, Peoples R China

第一机构：Hebei Univ, Sch Econ, Baoding 071000, Peoples R China

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Sch Engn Management & Real Estate, Zhengzhou 450046, Peoples R China.|[1048420]河南财经政法大学工程管理与房地产学院;[10484]河南财经政法大学;

年份：2024

卷号：292

外文期刊名：ENERGY

收录：;Scopus(收录号：2-s2.0-85184036706);WOS:【SCI-EXPANDED(收录号:WOS:001171409600001)】；

基金：This study was supported by the following projects: National Natural Science Foundation of China (72303055) , Funding Program for Intro- ducing Overseas Educated Personnel in Hebei Province (C20200306) ; Scientific Research Initiation Project for High-level Talents of Hebei University (521100222017) ; Humanities and Social Sciences Youth Foundation, Ministry of Education (23YJC790014) ; Upper Yangtze River Shipping and Logistics Co-innovation Center (XTCX2023A01) .

语种：英文

外文关键词：Environmental regulation; PM2.5; CO2; Quantile on quantile approach (QQA); Nonlinear effects

摘要：ABSTR A C T Both environmental regulation (ER) and different pollutants emission are characterized by differentiation, but the nonlinear relationship between different intensities of ER and different levels of pollutants emission has not yet been elaborated. This paper examines the nonlinear effects of ER at different intensities on PM2.5 and CO2 at different states with the help of cutting-edge Quantile on Quantile Approach (QQA), comprehensively reveals the inner law of ER to promote pollutants synergistic reduction. This study found that, both PM2.5 and CO2 show obvious regional differences but are not polarized. ER can effectively help reduce PM2.5 and CO2 in average, and this reduction effect is more obvious for central -western cities. The effects of different intensities of ER on different states of PM2.5 and CO2 have obvious nonlinear spillover characteristics. The impact of ER on PM2.5 shows wave-like changes. Increasing ER intensity has a stronger inhibitory effect on PM2.5 of high scale, but when PM2.5 is relatively low, moderate ER is needed to match it, and excessive intensity of ER will be detrimental to reduce PM2.5. The negative impact of ER on CO2 fluctuates relatively stable. ER at high quantiles have more obvious reduction effect on CO2 of high levels, but excessive intensity of ER is not conducive to reduce CO2. Achieve the synergistic reduction of PM2.5 and CO2 should not only consider the differences in ER between regions, but also to combine the scale differences of pollution and carbon emission. Our study suggests that the improvement of synergistic emission reduction system needs to consider the strength of ER and the level of pollutants emission according to local conditions, which will help to realize green development more efficiently.