Impacts of emission trading scheme on technological progress: A case study in China

被引:2
作者
Chen, Shuyang [1 ]
机构
[1] Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Cont, Beijing 100084, Peoples R China
关键词
Emission trading scheme; Progress of clean technology; Technological progress; Efficiency improvement; Computable general equilibrium model; China; CLEAN TECHNOLOGY; CLIMATE POLICY; CARBON MARKET; CGE ANALYSIS; EU ETS; INNOVATION; ECONOMY; EFFICIENCY; MODEL; REDUCTION;
D O I
10.1016/j.heliyon.2023.e23126
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Despite its significant role in mitigating climate change, technology was usually exogenously treated in evaluating climate policy, particularly emission trading scheme (ETS); such treatment cannot comprehensively reveal how ETS affects technological progress. To narrow this research gap, we attempt to endogenize ETS-induced technological change in this paper. A dynamic recursive Computable General Equilibrium (CGE) model is employed to quantify ETS-induced progress of clean technology (PCT) and efficiency improvement. The Chinese nationwide ETS is taken as a case study. The CGE model results show that PCT negatively affects anthropogenic emissions, while efficiency improvement decreases GDP loss or abatement cost. Simultaneously considering both technological progress increases emission abatement but slightly decreases GDP in the long term. The most interesting finding is that PCT moderates the relationship between efficiency improvement and emission abatement. Hence, PCT is crucial in emission abatement and economic growth under climate policy.
引用
收藏
页数:13
相关论文
共 75 条
[1]   The Environment and Directed Technical Change [J].
Acemoglu, Daron ;
Aghion, Philippe ;
Bursztyn, Leonardo ;
Hemous, David .
AMERICAN ECONOMIC REVIEW, 2012, 102 (01) :131-166
[2]  
Aghion P, 2016, J POLIT ECON, V124, P1
[3]  
Akhavan IAN, 2007, MANAGEMENT OF TECHNOLOGICAL CHANGES, BOOK 1, P445
[4]   Environmental policies and productivity growth: Evidence across industries and firms [J].
Albrizio, Silvia ;
Kozluk, Tomasz ;
Zipperer, Vera .
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 2017, 81 :209-226
[5]  
[Anonymous], 2022, Kazakhstan Emissions Trading System (ETS)
[6]  
[Anonymous], 2015, Chinas Nationally Intended Contribution: Enhanced Actions on Climate Change
[7]   The sensitivity of climate-economy CGE models to energy-related elasticity parameters: Implications for climate policy design [J].
Antimiani, Alessandro ;
Costantini, Valeria ;
Paglialunga, Elena .
ECONOMIC MODELLING, 2015, 51 :38-52
[8]  
ARMINGTON PS, 1969, INT MONET FUND S PAP, V16, P159
[9]   Energy Rebound as a Potential Threat to a Low-Carbon Future: Findings from a New Exergy-Based National-Level Rebound Approach [J].
Brockway, Paul E. ;
Saunders, Harry ;
Heun, Matthew K. ;
Foxon, Timothy J. ;
Steinberger, Julia K. ;
Barrett, John R. ;
Sorrell, Steve .
ENERGIES, 2017, 10 (01)
[10]   The impact of the EU ETS on firms' investment decisions: evidence from a survey [J].
Brohe, Arnaud ;
Burniaux, Sylvain .
CARBON MANAGEMENT, 2015, 6 (5-6) :221-231