Analysis on shadow price and abatement potential of carbon dioxide in China's provincial industrial sectors

被引:6
作者
Xue, Zhaoquan [1 ]
Mu, Hailin [1 ]
Li, Nan [1 ]
Zhang, Ming [2 ]
机构
[1] Dalian Univ Technol, Minist Educ, Key Lab Ocean Energy Utilizat & Energy Conservat, Dalian 116024, Peoples R China
[2] China Univ Min & Technol, Sch Econ & Management, Xuzhou 221116, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Shadow price; Technical inefficiency; Abatement potential; Directional distance function; Industrial sector; DIRECTIONAL DISTANCE FUNCTION; REDUCING CO2 EMISSIONS; POWER-PLANTS; ENVIRONMENTAL EFFICIENCY; TECHNICAL EFFICIENCY; UNDESIRABLE OUTPUTS; EMPIRICAL-ANALYSIS; WATER TREATMENT; COSTS; PRODUCTIVITY;
D O I
10.1007/s11356-021-16465-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
CO2 emission performance evaluation is crucial to make abatement policies. Knowledge about the potential and costs of CO2 reduction could provide information guides for policymakers and help them implement targeted measures. However, relevant studies are rarely subdivided into detailed industrial sectors, and results are lack of inter-industry comparisons. To fill this gap, this study estimates provincial technical inefficiency, abatement potential, and shadow price of CO2 from fuel combustion in China's 25 industries in 2001-2017. Results show that China's industry could ideally reduce CO2 emissions by a further 22.01-33.27%, averaging 1645.96 MtCO(2). Technical efficiency, abatement potential, and cost vary across provinces and industries and should therefore be fully considered when designing emission reduction targets and control policies. Provinces and industries with low technical efficiency, large-scale emissions, great abatement potential and low shadow price are the key to emission reduction. We thus identify key provinces and industries that need to take on more abatement responsibility. Those findings are of great significance to the formulation of carbon reduction targets and the implementation of abatement policies, and prove the feasibility of China's trans-regional carbon trading. It is suggested to prioritize key industries into the trading system and further promote inter-provincial cooperation through carbon trading.
引用
收藏
页码:14604 / 14623
页数:20
相关论文
共 49 条
  • [1] Boyd G, 1996, (DE)REGULATION OF ENERGY: INTERSECTING BUSINESS, ECONOMICS AND POLICY, P86
  • [2] Benefit and distance functions
    Chambers, RG
    Chung, YH
    Fare, R
    [J]. JOURNAL OF ECONOMIC THEORY, 1996, 70 (02) : 407 - 419
  • [3] MEASURING EFFICIENCY OF DECISION-MAKING UNITS
    CHARNES, A
    COOPER, WW
    RHODES, E
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1978, 2 (06) : 429 - 444
  • [4] Shadow price estimation of CO2 in China's regional iron and steel industry
    Che, Linan
    [J]. 8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105 : 3125 - 3131
  • [5] Chen S., 2011, China Economic Quarterly, V10, P735, DOI DOI 10.13821/J.CNKI.CEQ.2011.03.012
  • [6] Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis
    Du, Limin
    Hanley, Aoife
    Zhang, Ning
    [J]. RESOURCE AND ENERGY ECONOMICS, 2016, 43 : 14 - 32
  • [7] Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China
    Du, Limin
    Mao, Jie
    [J]. ENERGY POLICY, 2015, 85 : 347 - 356
  • [8] Marginal Abatement Costs of Carbon Dioxide Emissions in China: A Parametric Analysis
    Du, Limin
    Hanley, Aoife
    Wei, Chu
    [J]. ENVIRONMENTAL & RESOURCE ECONOMICS, 2015, 61 (02) : 191 - 216
  • [9] Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis
    Du, Limin
    Hanley, Aoife
    Wei, Chu
    [J]. ENERGY ECONOMICS, 2015, 48 : 217 - 229
  • [10] Is there a difference between the energy and CO2 emission performance for China's thermal power industry? A bootstrapped directional distance function approach
    Duan, Na
    Guo, Jun-Peng
    Xie, Bai-Chen
    [J]. APPLIED ENERGY, 2016, 162 : 1552 - 1563