The rebound effect on energy efficiency improvements in China's transportation sector:A CGE analysis

• 作者: Frank Southworth Huibin Du Zengkai Zhang Zhenni Chen
• 来源期刊: 管理科学学报（英文）
• 年，卷（期）: 2020,（4）
• 页码范围: 249-263
• 页数: 15页
• 语种: 英文

摘要

Energy use is becoming more efficient due to technological innovations. We focused on the transportation sector in China to develop a national multisector computable general equilibrium (CGE) model for analyzing the rebound effect from an improvement of 10％in the energy efficiency. We compared the size of the energy rebound effect at both the macroeconomic and sectoral levels in different transportation modal subsectors, namely rail, road, water, and air travel. The findings showed that the magnitude of the rebound effect varies across the transportation modes. This is particularly true for the air trans-portation sector, which has an economy-wide rebound effect of 30.1％and an own-sector rebound effect of 74.6％because of a sharp increase in the export demand for air transport services. We also quantitatively evaluated the contribution of energy efficiency improve-ment in the transportation sector to China's economic growth and carbon reductions and found a positive dividend effect on the economy as well as the environment. The modeling results suggest that improving overall transportation energy efficiency by 10％generates an economy-wide welfare gain of approximately 29 billion yuan, while 19 billion yuan are attributable to a more efficient road transportation subsector. Furthermore, to offset the effects of these mode-specific rebound effects, we simulated the effectiveness of different policies and solutions. These included economic instruments in the form of energy, environmental, and carbon taxes, household transport consumption structure adjust-ments, and energy structure adjustments. This study revealed that combining these sus-tainable development policies offers opportunities for economy-wide multisectoral improvements in energy savings, emissions reduction, and economic benefits.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Huibin Du		2	0	0.0	0.0
2	Zhenni Chen		1	0	0.0	0.0
3	Zengkai Zhang		1	0	0.0	0.0
4	Frank Southworth		1	0	0.0	0.0