Research on co-control effect of environmental economic policies in China’s transportation sector

doi:10.12006/j.issn.1673-1719.2021.028

Abstract

Abstract:

Transportation sector is one of the key sources of local air pollutants and GHGs emissions in China. Because of rising scale of transportation, the share of emissions from transportation increased compared with those from industrial and residential sources. This research applies an integrated CGE-CIMS model system to quantify the local air pollutants and CO₂ co-control effects of environmental economic policies in China’s transportation sector. Compared with BAU scenario, all environmental economic policy instruments, including environmental tax, carbon tax, fuel oil consumption tax and their policy combinations, will lead to electricity consumption substitution for gasoline, diesel oil and other petroleum products in China’s transportation sector. Even considering the indirect emissions caused by electricity power generation, the comprehensive emission reductions, indicated by Integrated Air Pollutant Co-control Emission Reduction (ICER), are still positive, meaning all environmental economic policies and their policy combinations have co-control effects. This research made policy suggestions for supporting the environmental economic policy implementation in transportation, including focusing on high emission vehicles, applying green transportation subsidies and low carbon electric power development.

Key words: Transportation sector, Environmental economic policies, Co-control

XING You-Kai, LIU Zheng-Yan, MAO Xian-Qiang, GAO Yu-Bing, HE Feng, YU Hong. Research on co-control effect of environmental economic policies in China’s transportation sector[J]. Climate Change Research, 2021, 17(4): 379-387.

Figures/Tables 8

Fig. 1 Integrated CGE-CIMS model system

Table 1 Weight coefficients for converting local air pollutants and CO2 into ICER

Table 2 Scenarios design of environmental economic policies for China’s transportation sector

Fig. 2 Freight development under various scenarios in 2030

Table 3 Calculation of ICER under various scenarios in 2030

Fig. 3 Co-control effects coordinate system analysis results of local air pollutants and CO2 under various policy scenarios in 2030

Table 4 Cross-elasticity analysis results of pollutant emission reduction under various policy scenarios in 2030

Fig. 4 The priority order of UCER under various scenarios in 2030

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