2022
DOI: 10.1016/j.trd.2022.103388
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The impacts of heterogeneous traffic regulation on air pollution: Evidence from China

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Cited by 17 publications
(7 citation statements)
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References 51 publications
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“…In addition, PM concentrations (PM 2.5 : 77 μg/m 3 , PM 10 : 123 μg/m 3 ) in 2014 decreased by 76.48% and 50% respectively compared with 2021. This is consistent with the research results of Li et al [92], whose research also pointed out that PM concentration has shown a downward trend in recent years in Chengdu [92]. SO 2 and CO also showed a sharp downward trend, down 68.4% and 50% respectively compared to 2014.…”
Section: Annual Variationsupporting
confidence: 92%
“…In addition, PM concentrations (PM 2.5 : 77 μg/m 3 , PM 10 : 123 μg/m 3 ) in 2014 decreased by 76.48% and 50% respectively compared with 2021. This is consistent with the research results of Li et al [92], whose research also pointed out that PM concentration has shown a downward trend in recent years in Chengdu [92]. SO 2 and CO also showed a sharp downward trend, down 68.4% and 50% respectively compared to 2014.…”
Section: Annual Variationsupporting
confidence: 92%
“…ER plays a significant role in influencing the operational efficiency of enterprises and promoting environmental pollution control (Wang et al, 2023). It guides for logistics companies to cultivate green awareness, foster innovation in green technologies, and embrace clean energy adoption (Wu et al, 2022).…”
Section: Er and Industrial Efficiencymentioning
confidence: 99%
“…The government implements environmental policy, and forms moderation with energy conservation and emission reduction behavior of logistics enterprises (Cai et al, 2020;Zhang & Ke, 2022). The direct impact of ERs on industrial efficiency is limited (Liu & Guan, 2017;Wu et al, 2022), as mediating factors are required to influence efficiency (Amaya et al, 2021). Ouyang et al (2022) studies that the effect of local ER on innovation efficiency is significantly suppressed by industrial transfer.…”
Section: Er and Industrial Efficiencymentioning
confidence: 99%
“…In contrast, new energy vehicles mainly use clean energy sources such as electricity and hydrogen, which are more friendly to the environment [2]. Therefore, driven by the dual crises regarding the atmospheric environment and energy security, new energy vehicles, represented by electric vehicles, came into being [4,5]. Under the global consensus of carbon peaking and carbon neutrality, governments encourage people to use new energy vehicles, which have gradually become mainstream [3].…”
Section: Introductionmentioning
confidence: 99%
“…The star rating decision matrix (of MLNEVs, attributes[5][6][7][8]. (0.011), s 3 (0.190), s 4 (0.798) {s 3 (0.026), s 4 (0.974)} s 2 (0.010), s 3 (0.228), s 4 (0.762) (0.006), s 1 (0.004), s 2 (0.008), s 3 (0.111), s 4 (0.872) (0.002), s 2 (0.006), s 3 (0.273), s 4 (0.719) s 2 (0.006), s 3 (0.190), s 4 (0.805) s 2 (0.004), s 3 (0.257), s 4 (0.739) s 1 (0.002), s 2 (0.012), s 3 (0.093), s 4 (0.893) a 8 s 1 (0.002), s 2 (0.013), s 3 (0.323), s 4 (0.662) s 1 (0.001), s 2 (0.001), s 3 (0.033), s 4 (0.966) s 1 (0.004), s 2 (0.012), s 3 (0.198), s 4 (0.786) (0.001), s 2 (0.020), s 3 (0.455), s 4 (0.524) s 1 (0.001), s 2 (0.005), s 3 (0.136), s 4 (0.858) s 1 (0.001), s 2 (0.073), s 3 (0.511), s 4 (0.414) s 1 (0.001), s 2 (0.007), s 3 (0.239), s 4 (0.753)…”
mentioning
confidence: 99%