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Decoupling and attribution analysis of industrial carbon emissions in Taiwan

Author

Listed:
  • Wang, Qunwei
  • Hang, Ye
  • Zhou, P.
  • Wang, Yizhong

Abstract

A deeper understanding of the decoupling status between carbon emissions and industrial growth as well as its influencing factors is very important in implementing targeted polices. This study applies decoupling analysis, index decomposition analysis, and attribution analysis to achieve three goals. First, the study explores the decoupling relationship between industrial growth and carbon emissions in Taiwan. Second, the factors influencing changes in industrial carbon intensity are explored. Finally, the contributions of industrial sub-sectors to each factor are analyzed. The results indicate that Taiwan's industrial growth and carbon emissions experienced a negative decoupling from 2007 to 2009 and a decoupling from 2009 to 2013. Energy intensity effect plays the dominant role in promoting decoupling, and both energy structure effect and industrial structure effect negatively impact decoupling. The chemical materials, electrical and electronic machinery and basic metal industries sub-sectors are primarily responsible for the energy intensity effect. Energy-intensive industries are the main contributors to the increase in energy structure and industrial structure effects. The study suggests that the Taiwanese government should establish targeted carbon reduction measures at sub-sector level. Adjusting the energy structure and industrial structure is also urgently required to promote the decoupling of carbon emissions from industrial growth.

Suggested Citation

  • Wang, Qunwei & Hang, Ye & Zhou, P. & Wang, Yizhong, 2016. "Decoupling and attribution analysis of industrial carbon emissions in Taiwan," Energy, Elsevier, vol. 113(C), pages 728-738.
  • Handle: RePEc:eee:energy:v:113:y:2016:i:c:p:728-738
    DOI: 10.1016/j.energy.2016.07.108
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    as
    1. Choi, Ki-Hong & Oh, Wankeun, 2014. "Extended Divisia index decomposition of changes in energy intensity: A case of Korean manufacturing industry," Energy Policy, Elsevier, vol. 65(C), pages 275-283.
    2. Tsai, Miao-Shan & Chang, Ssu-Li, 2015. "Taiwan’s 2050 low carbon development roadmap: An evaluation with the MARKAL model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 178-191.
    3. Climent, Francisco & Pardo, Angel, 2007. "Decoupling factors on the energy-output linkage: The Spanish case," Energy Policy, Elsevier, vol. 35(1), pages 522-528, January.
    4. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposing the decoupling of CO2 emissions and economic growth in Brazil," Ecological Economics, Elsevier, vol. 70(8), pages 1459-1469, June.
    5. Choi, Ki-Hong & Ang, B.W., 2012. "Attribution of changes in Divisia real energy intensity index — An extension to index decomposition analysis," Energy Economics, Elsevier, vol. 34(1), pages 171-176.
    6. Tan, Zhongfu & Li, Li & Wang, Jianjun & Wang, Jianhui, 2011. "Examining the driving forces for improving China’s CO2 emission intensity using the decomposing method," Applied Energy, Elsevier, vol. 88(12), pages 4496-4504.
    7. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    8. Shiyi Chen, 2011. "The Abatement of Carbon Dioxide Intensity in China: Factors Decomposition and Policy Implications," The World Economy, Wiley Blackwell, vol. 34, pages 1148-1167, July.
    9. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    10. Fernández González, P. & Landajo, M. & Presno, M.J., 2013. "The Divisia real energy intensity indices: Evolution and attribution of percent changes in 20 European countries from 1995 to 2010," Energy, Elsevier, vol. 58(C), pages 340-349.
    11. Zhang, Ming & Liu, Xiao & Wang, Wenwen & Zhou, Min, 2013. "Decomposition analysis of CO2 emissions from electricity generation in China," Energy Policy, Elsevier, vol. 52(C), pages 159-165.
    12. Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2007. "Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Taiwan, Germany, Japan and South Korea," Energy Policy, Elsevier, vol. 35(6), pages 3226-3235, June.
    13. Ang, B.W. & Xu, X.Y. & Su, Bin, 2015. "Multi-country comparisons of energy performance: The index decomposition analysis approach," Energy Economics, Elsevier, vol. 47(C), pages 68-76.
    14. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    15. Lu, Qinli & Yang, Hong & Huang, Xianjin & Chuai, Xiaowei & Wu, Changyan, 2015. "Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China," Energy, Elsevier, vol. 82(C), pages 414-425.
    16. Liu, Nan & Ma, Zujun & Kang, Jidong, 2015. "Changes in carbon intensity in China's industrial sector: Decomposition and attribution analysis," Energy Policy, Elsevier, vol. 87(C), pages 28-38.
    17. Sato, Kazuo, 1976. "The Ideal Log-Change Index Number," The Review of Economics and Statistics, MIT Press, vol. 58(2), pages 223-228, May.
    18. 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.
    19. Zhang, Yue-Jun & Da, Ya-Bin, 2015. "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1255-1266.
    20. Zhang, Zhongxiang, 2000. "Decoupling China's Carbon Emissions Increase from Economic Growth: An Economic Analysis and Policy Implications," World Development, Elsevier, vol. 28(4), pages 739-752, April.
    21. 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.
    22. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    23. Ren, Shenggang & Hu, Zhen, 2012. "Effects of decoupling of carbon dioxide emission by Chinese nonferrous metals industry," Energy Policy, Elsevier, vol. 43(C), pages 407-414.
    24. Fernández González, P. & Presno, M.J. & Landajo, M., 2015. "Regional and sectoral attribution to percentage changes in the European Divisia carbonization index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1437-1452.
    25. Li, Aijun & Hu, Mingming & Wang, Mingjian & Cao, Yinxue, 2016. "Energy consumption and CO2 emissions in Eastern and Central China: A temporal and a cross-regional decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 284-297.
    26. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    27. 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.
    28. 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.
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