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Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry

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  • Lin, Boqiang
  • Ouyang, Xiaoling

Abstract

As one of the six highest energy-consuming industries, non-metallic mineral products industry accounts for 9.5% of national energy usage and 9.0% of energy-related CO2 (carbon dioxide) emissions in China. In this paper, we evaluate the CO2 emissions change from energy consumption and present a comprehensive picture of the underlying determinants of emissions change in the Chinese non-metallic mineral products industry for the period 1986–2010, based on the LMDI (Logarithmic Mean Divisia Index) method. Results demonstrate that industrial activity is the leading force explaining emission increase while energy intensity is the major contributor to the emission mitigation. Effects of industrial scale and carbon intensity of energy show varying trends interchanging intervals of growth along the study period. Moreover, substitution effect has a small negative impact on the increase of CO2 emissions. Reduction potential of CO2 emissions is predicted to be 99.02 Mt in 2020 under the scenario of moderate emission reduction, which accounts for 0.30% of the world's energy-related CO2 emissions in 2011; and 188.88 Mt under the scenario of aggressive emission reduction, which accounts for 0.58% of the world's total in 2011 and is close to energy-related CO2 emissions of Egypt in 2010. Policy recommendations are thus made for future emission reductions.

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  • Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
  • Handle: RePEc:eee:energy:v:68:y:2014:i:c:p:688-697
    DOI: 10.1016/j.energy.2014.01.069
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    References listed on IDEAS

    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Liu, Zhu & Geng, Yong & Lindner, Soeren & Guan, Dabo, 2012. "Uncovering China’s greenhouse gas emission from regional and sectoral perspectives," Energy, Elsevier, vol. 45(1), pages 1059-1068.
    3. Ang, B. W. & Pandiyan, G., 1997. "Decomposition of energy-induced CO2 emissions in manufacturing," Energy Economics, Elsevier, vol. 19(3), pages 363-374, July.
    4. Lin, Boqiang & Yang, Fang & Liu, Xia, 2013. "A study of the rebound effect on China's current energy conservation and emissions reduction: Measures and policy choices," Energy, Elsevier, vol. 58(C), pages 330-339.
    5. Ou, Xunmin & Zhang, Xiliang & Chang, Shiyan, 2010. "Scenario analysis on alternative fuel/vehicle for China's future road transport: Life-cycle energy demand and GHG emissions," Energy Policy, Elsevier, vol. 38(8), pages 3943-3956, August.
    6. World Bank & P.R.C. Development Research Center of the State Council, 2012. "China 2030 : Building a Modern, Harmonious, and Creative High-Income Society [pre-publication version]," World Bank Publications, The World Bank, number 6057, November.
    7. Hammond, G.P. & Norman, J.B., 2012. "Decomposition analysis of energy-related carbon emissions from UK manufacturing," Energy, Elsevier, vol. 41(1), pages 220-227.
    8. Zhang, Qi & Ishihara, Keiichi N. & Mclellan, Benjamin C. & Tezuka, Tetsuo, 2012. "Scenario analysis on future electricity supply and demand in Japan," Energy, Elsevier, vol. 38(1), pages 376-385.
    9. Zhang, F. Q. & Ang, B. W., 2001. "Methodological issues in cross-country/region decomposition of energy and environment indicators," Energy Economics, Elsevier, vol. 23(2), pages 179-190, March.
    10. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    11. Lin, Boqiang & Moubarak, Mohamed, 2013. "Decomposition analysis: Change of carbon dioxide emissions in the Chinese textile industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 389-396.
    12. Ang, B. W., 1999. "Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?," Energy Policy, Elsevier, vol. 27(15), pages 943-946, December.
    13. Lin, Boqiang & Sun, Chuanwang, 2010. "Evaluating carbon dioxide emissions in international trade of China," Energy Policy, Elsevier, vol. 38(1), pages 613-621, January.
    14. Liu, Lan-Cui & Fan, Ying & Wu, Gang & Wei, Yi-Ming, 2007. "Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis," Energy Policy, Elsevier, vol. 35(11), pages 5892-5900, November.
    15. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    16. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    17. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    18. Oh, Ilyoung & Wehrmeyer, Walter & Mulugetta, Yacob, 2010. "Decomposition analysis and mitigation strategies of CO2 emissions from energy consumption in South Korea," Energy Policy, Elsevier, vol. 38(1), pages 364-377, January.
    19. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    20. Chen, Wenying & Wu, Zongxin & He, Jiankun & Gao, Pengfei & Xu, Shaofeng, 2007. "Carbon emission control strategies for China: A comparative study with partial and general equilibrium versions of the China MARKAL model," Energy, Elsevier, vol. 32(1), pages 59-72.
    21. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    22. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    23. Malla, Sunil, 2009. "CO2 emissions from electricity generation in seven Asia-Pacific and North American countries: A decomposition analysis," Energy Policy, Elsevier, vol. 37(1), pages 1-9, January.
    24. Sun, J. W., 1998. "Changes in energy consumption and energy intensity: A complete decomposition model," Energy Economics, Elsevier, vol. 20(1), pages 85-100, February.
    25. Ang, B.W. & Zhang, F.Q., 2000. "A survey of index decomposition analysis in energy and environmental studies," Energy, Elsevier, vol. 25(12), pages 1149-1176.
    26. Wang, Can & Chen, Jining & Zou, Ji, 2005. "Decomposition of energy-related CO2 emission in China: 1957–2000," Energy, Elsevier, vol. 30(1), pages 73-83.
    27. AkbostancI, Elif & Tunç, Gül Ipek & Türüt-AsIk, Serap, 2011. "CO2 emissions of Turkish manufacturing industry: A decomposition analysis," Applied Energy, Elsevier, vol. 88(6), pages 2273-2278, June.
    28. Ang, B.W. & Huang, H.C. & Mu, A.R., 2009. "Properties and linkages of some index decomposition analysis methods," Energy Policy, Elsevier, vol. 37(11), pages 4624-4632, November.
    29. Choi, Ki-Hong & Ang, B. W., 2001. "A time-series analysis of energy-related carbon emissions in Korea," Energy Policy, Elsevier, vol. 29(13), pages 1155-1161, November.
    30. Ang, B.W. & Liu, Na, 2007. "Negative-value problems of the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 739-742, January.
    31. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    32. Zhao, Min & Tan, Lirong & Zhang, Weiguo & Ji, Minhe & Liu, Yuan & Yu, Lizhong, 2010. "Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method," Energy, Elsevier, vol. 35(6), pages 2505-2510.
    33. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    34. Zhang, Yan & Zhang, Jinyun & Yang, Zhifeng & Li, Shengsheng, 2011. "Regional differences in the factors that influence China’s energy-related carbon emissions, and potential mitigation strategies," Energy Policy, Elsevier, vol. 39(12), pages 7712-7718.
    35. Lin, Bo-qiang & Liu, Jiang-hua, 2010. "Estimating coal production peak and trends of coal imports in China," Energy Policy, Elsevier, vol. 38(1), pages 512-519, January.
    36. Ma, Chunbo & Stern, David I., 2008. "Biomass and China's carbon emissions: A missing piece of carbon decomposition," Energy Policy, Elsevier, vol. 36(7), pages 2517-2526, July.
    37. Li, Aijun & Lin, Boqiang, 2013. "Comparing climate policies to reduce carbon emissions in China," Energy Policy, Elsevier, vol. 60(C), pages 667-674.
    38. He, Jiankun & Deng, Jing & Su, Mingshan, 2010. "CO2 emission from China's energy sector and strategy for its control," Energy, Elsevier, vol. 35(11), pages 4494-4498.
    39. Price, L & Sinton, J & Worrell, E & Phylipsen, D & Xiulian, H & Ji, L, 2002. "Energy use and carbon dioxide emissions from steel production in China," Energy, Elsevier, vol. 27(5), pages 429-446.
    40. Li, Aijun & Zhang, Aizhen & Cai, Hongbo & Li, Xingfeng & Peng, Shishen, 2013. "How large are the impacts of carbon-motivated border tax adjustments on China and how to mitigate them?," Energy Policy, Elsevier, vol. 63(C), pages 927-934.
    41. Robaina Alves, Margarita & Moutinho, Victor, 2013. "Decomposition analysis and Innovative Accounting Approach for energy-related CO2 (carbon dioxide) emissions intensity over 1996–2009 in Portugal," Energy, Elsevier, vol. 57(C), pages 775-787.
    42. Andreoni, V. & Galmarini, S., 2012. "European CO2 emission trends: A decomposition analysis for water and aviation transport sectors," Energy, Elsevier, vol. 45(1), pages 595-602.
    43. Ates, Seyithan Ahmet & Durakbasa, Numan M., 2012. "Evaluation of corporate energy management practices of energy intensive industries in Turkey," Energy, Elsevier, vol. 45(1), pages 81-91.
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