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China's potential SO2 emissions from coal by 2050

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  • Qian, Yuan
  • Scherer, Laura
  • Tukker, Arnold
  • Behrens, Paul

Abstract

Coal is the dominant emitter of Sulfur Dioxide (SO2) in some countries, comprising ~92% of total emissions in China. Mitigation of these emissions can be driven by a number of factors, such as energy-efficiency improvements, installation of scrubbers, and use of renewable energy. This study evaluates the historical reduction of overall SO2 emission intensity from coal consumption for 30 Chinese provinces between 2000 and 2016. These trends are further combined with expected coal use from 2020 to 2050 along with scenarios of future power generation to explore China's future SO2 emissions. The results show that provinces starting with a high emission intensity in general have higher reduction rates. By 2050, China's potential SO2 emissions are between 3.9 Mt and 4.1 Mt, and industry mitigation efforts, such as the installation of scrubbers, appear to contribute most to abatement. Additionally, this study estimates the impact on global average temperatures from SO2 mitigation due to the adoption of renewables in the electric sector using the MAGICC model and find an increase of ~0.01 °C by 2050. Considering the reduced abatement opportunities of desulfurization technologies and climate change effects of coal combustion, renewable energy provides the most promising option for SO2 mitigation.

Suggested Citation

  • Qian, Yuan & Scherer, Laura & Tukker, Arnold & Behrens, Paul, 2020. "China's potential SO2 emissions from coal by 2050," Energy Policy, Elsevier, vol. 147(C).
    • Handle: RePEc:eee:enepol:v:147:y:2020:i:c:s0301421520305735
    DOI: 10.1016/j.enpol.2020.111856
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    as
    1. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    2. Schreifels, Jeremy J. & Fu, Yale & Wilson, Elizabeth J., 2012. "Sulfur dioxide control in China: policy evolution during the 10th and 11th Five-year Plans and lessons for the future," Energy Policy, Elsevier, vol. 48(C), pages 779-789.
    3. Yang, Xue & Wang, Shaojian & Zhang, Wenzhong & Li, Jiaming & Zou, Yafeng, 2016. "Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China," Applied Energy, Elsevier, vol. 184(C), pages 714-726.
    4. Kaufmann, R. K. & Kauppi, H. & Mann, M. L. & Stock, James H., 2011. "Reconciling anthropogenic climate change with observed temperature 1998–2008," Scholarly Articles 29071926, Harvard University Department of Economics.
    5. Pan, Haoran & Kohler, Jonathan, 2007. "Technological change in energy systems: Learning curves, logistic curves and input-output coefficients," Ecological Economics, Elsevier, vol. 63(4), pages 749-758, September.
    6. Nazari, S. & Shahhoseini, O. & Sohrabi-Kashani, A. & Davari, S. & Paydar, R. & Delavar-Moghadam, Z., 2010. "Experimental determination and analysis of CO2, SO2 and NOx emission factors in Iran’s thermal power plants," Energy, Elsevier, vol. 35(7), pages 2992-2998.
    7. Hering, Laura & Poncet, Sandra, 2014. "Environmental policy and exports: Evidence from Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 296-318.
    8. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
    9. Junichi Fujino, Rajesh Nair, Mikiko Kainuma, Toshihiko Masui and Yuzuru Matsuoka, 2006. "Multi-gas Mitigation Analysis on Stabilization Scenarios Using Aim Global Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 343-354.
    10. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    11. Rubin, Edward S & Taylor, Margaret R & Yeh, Sonia & Hounshell, David A, 2004. "Learning curves for environmental technology and their importance for climate policy analysis," Energy, Elsevier, vol. 29(9), pages 1551-1559.
    12. Fukui, Rokuhei & Greenfield, Carl & Pogue, Katie & van der Zwaan, Bob, 2017. "Experience curve for natural gas production by hydraulic fracturing," Energy Policy, Elsevier, vol. 105(C), pages 263-268.
    13. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    14. Mukti Sharma & Chhemendra Sharma & Abdul Qaiyum, 2012. "Impacts of future Indian greenhouse gas emission scenarios on projected climate change parameters deduced from MAGICC model," Climatic Change, Springer, vol. 111(2), pages 425-443, March.
    15. Fang Guo & Tao Zhao & Yanan Wang & Yue Wang, 2016. "Estimating the abatement potential of provincial carbon intensity based on the environmental learning curve model in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 685-705, October.
    16. Yu, C.F. & van Sark, W.G.J.H.M. & Alsema, E.A., 2011. "Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 324-337, January.
    17. Jamie Sanderson & Sardar M. N. Islam, 2007. "Climate Change and Economic Development," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-59012-0.
    18. Li, Li & Tan, Zhongfu & Wang, Jianhui & Xu, Jun & Cai, Chengkai & Hou, Yong, 2011. "Energy conservation and emission reduction policies for the electric power industry in China," Energy Policy, Elsevier, vol. 39(6), pages 3669-3679, June.
    19. Shahsavari, Amir & Akbari, Morteza, 2018. "Potential of solar energy in developing countries for reducing energy-related emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 275-291.
    20. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    21. Boudri, J. C. & Hordijk, L. & Kroeze, C. & Amann, M. & Cofala, J. & Bertok, I. & Junfeng, Li & Lin, Dai & Shuang, Zhen & Runquing, Hu & Panwar, T. S. & Gupta, S. & Singh, D. & Kumar, A. & Vipradas, M., 2002. "The potential contribution of renewable energy in air pollution abatement in China and India," Energy Policy, Elsevier, vol. 30(5), pages 409-424, April.
    22. Shrestha, Ram M. & Timilsina, Govinda R., 1997. "SO2 emission intensities of the power sector in Asia: Effects of generation-mix and fuel-intensity changes," Energy Economics, Elsevier, vol. 19(3), pages 355-362, July.
    23. Wei Li & Tao Zhao & Yanan Wang & Fang Guo, 2017. "Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 1211-1227, September.
    24. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
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