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Financial allocation strategy for the regional pollution abatement cost of reducing sulfur dioxide emissions in the thermal power sector in China

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  • Kaneko, Shinji
  • Fujii, Hidemichi
  • Sawazu, Naoya
  • Fujikura, Ryo

Abstract

This study explores empirical evidence for two hypotheses through a macro productivity analysis using the nonparametric directional distance function approach applied to the thermal power sector. The first hypothesis is that the marginal abatement cost has significantly declined in recent years mainly due to domestic flue gas desulfurization technology in China, which has become available at a reasonable cost. The second is the existence of a certain budget scale, which, with policy intervention, would have significant outcomes. These hypotheses are successfully addressed through the findings that the marginal abatement cost in 2006 had declined by half since 2003 and that the strategic allocation of 10 billion yuan for SO2 emissions abatement would result in an additional 550,000 tonnes of SO2 reductions.

Suggested Citation

  • Kaneko, Shinji & Fujii, Hidemichi & Sawazu, Naoya & Fujikura, Ryo, 2010. "Financial allocation strategy for the regional pollution abatement cost of reducing sulfur dioxide emissions in the thermal power sector in China," Energy Policy, Elsevier, vol. 38(5), pages 2131-2141, May.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:5:p:2131-2141
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    References listed on IDEAS

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    Cited by:

    1. Yongrok Choi & Hyoung Seok Lee, 2016. "Are Emissions Trading Policies Sustainable? A Study of the Petrochemical Industry in Korea," Sustainability, MDPI, Open Access Journal, vol. 8(11), pages 1-13, October.
    2. Jianjun Wang & Li Li & Fan Zhang & Qiannan Xu, 2014. "Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis," Sustainability, MDPI, Open Access Journal, vol. 6(5), pages 1-17, May.
    3. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    4. Yuan, Xueliang & Mi, Mi & Mu, Ruimin & Zuo, Jian, 2013. "Strategic route map of sulphur dioxide reduction in China," Energy Policy, Elsevier, vol. 60(C), pages 844-851.
    5. Peihao Lai & Minzhe Du & Bing Wang & Ziyue Chen, 2016. "Assessment and Decomposition of Total Factor Energy Efficiency: An Evidence Based on Energy Shadow Price in China," Sustainability, MDPI, Open Access Journal, vol. 8(5), pages 1-23, April.
    6. Du, Limin & Mao, Jie, 2015. "Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China," Energy Policy, Elsevier, vol. 85(C), pages 347-356.
    7. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    8. repec:gam:jsusta:v:8:y:2016:i:5:p:408:d:68945 is not listed on IDEAS
    9. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis," Energy Economics, Elsevier, vol. 48(C), pages 217-229.
    10. Bowen Xiao & Dongxiao Niu & Han Wu & Haichao Wang, 2017. "Marginal Abatement Cost of CO 2 in China Based on Directional Distance Function: An Industry Perspective," Sustainability, MDPI, Open Access Journal, vol. 9(1), pages 1-19, January.
    11. Zhou, Kaile & Yang, Shanlin & Shen, Chao & Ding, Shuai & Sun, Chaoping, 2015. "Energy conservation and emission reduction of China’s electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 10-19.
    12. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    13. Li, Ming-Jia & Tao, Wen-Quan, 2017. "Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry," Applied Energy, Elsevier, vol. 187(C), pages 203-215.
    14. Du, Limin & Hanley, Aoife & Wei, Chu, 2013. "Estimating the marginal abatement costs of carbon dioxide emissions in China: A parametric analysis," Kiel Working Papers 1883, Kiel Institute for the World Economy (IfW).
    15. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    16. Wang, Yi-Shu & Xie, Bai-Chen & Shang, Li-Feng & Li, Wen-Hua, 2013. "Measures to improve the performance of China’s thermal power industry in view of cost efficiency," Applied Energy, Elsevier, vol. 112(C), pages 1078-1086.
    17. Wang, Ke & Wei, Yi-Ming, 2014. "China’s regional industrial energy efficiency and carbon emissions abatement costs," Applied Energy, Elsevier, vol. 130(C), pages 617-631.
    18. Tang, Kai & Yang, Lin & Zhang, Jianwu, 2016. "Estimating the regional total factor efficiency and pollutants’ marginal abatement costs in China: A parametric approach," Applied Energy, Elsevier, vol. 184(C), pages 230-240.

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