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The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007

Author

Listed:
  • Ling Yang

    (School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710049, Shaanxi, China)

  • Michael L. Lahr

    (Edward J. Bloustein School of Planning and Public Policy, Rutgers The State University of New Jersey, New Jersey, NJ 08901, USA)

Abstract
Using three official multiregional input–output tables and carbon emission data, we decompose the change in carbon emission for eight regions of China between 1997 and 2007. We do so according to the following seven partial effects: (i) Changes in energy end-use structure, (ii) effect of energy intensity, (iii) the added value’s share of gross output, (iv) changes in sub-industry structure, (v) changes in the substitution of import for intermediate inputs, and changes in (vi) structure and (vii) level of final demand. We find energy intensity contributes most to CO 2 abatement throughout China, while other factors vary widely across the different regions. We suggest that governments consider regional disparity and CO 2 flows when formulating policies; structural change with an eye toward energy-savings and general efficiency improvements, like better insulated buildings, are among measures we deem effective.

Suggested Citation

  • Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:12:p:3254-:d:239325
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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. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    3. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    4. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    5. Choi, Ki-Hong & Ang, B. W., 2003. "Decomposition of aggregate energy intensity changes in two measures: ratio and difference," Energy Economics, Elsevier, vol. 25(6), pages 615-624, November.
    6. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.
    7. Zeng, Lin & Xu, Ming & Liang, Sai & Zeng, Siyu & Zhang, Tianzhu, 2014. "Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis," Energy Policy, Elsevier, vol. 67(C), pages 640-647.
    8. Richard F. Garbaccio & Mun S. Ho & Dale W. Jorgenson, 1999. "Why Has the Energy-Output Ratio Fallen in China?," The Energy Journal, , vol. 20(3), pages 63-91, July.
    9. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
    10. Dietzenbacher,Erik & Lahr,Michael L. (ed.), 2004. "Wassily Leontief and Input-Output Economics," Cambridge Books, Cambridge University Press, number 9780521832380, September.
    11. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    12. Yang, Ling & Lahr, Michael L., 2010. "Sources of Chinese labor productivity growth: A structural decomposition analysis, 1987-2005," China Economic Review, Elsevier, vol. 21(4), pages 557-570, December.
    13. 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.
    14. Hua Liao & Ce Wang & Zhi-Shuang Zhu & Xiao-Wei Ma, 2012. "Structural decomposition analysis on energy intensity changes at regional level," CEEP-BIT Working Papers 40, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    15. Liang, Qiao-Mei & Fan, Ying & Wei, Yi-Ming, 2007. "Multi-regional input-output model for regional energy requirements and CO2 emissions in China," Energy Policy, Elsevier, vol. 35(3), pages 1685-1700, March.
    16. Kuishuang Feng & Yim Ling Siu & Dabo Guan & Klaus Hubacek, 2012. "Analyzing Drivers of Regional Carbon Dioxide Emissions for China," Journal of Industrial Ecology, Yale University, vol. 16(4), pages 600-611, August.
    17. 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.
    18. Paul De Boer, 2009. "Multiplicative Decomposition And Index Number Theory: An Empirical Application Of The Sato-Vartia Decomposition," Economic Systems Research, Taylor & Francis Journals, vol. 21(2), pages 163-174.
    19. 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.
    20. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    21. Michael Lahr, 2001. "Reconciling Domestication Techniques, the Notion of Re-exports and Some Comments on Regional Accounting," Economic Systems Research, Taylor & Francis Journals, vol. 13(2), pages 165-179.
    22. Shu Yang & Dingtao Zhao & Yanrui Wu & Jin Fan, 2013. "Regional Variation in Carbon Emissions and its Driving Forces in China: An Index Decomposition Analysis," Energy & Environment, , vol. 24(7-8), pages 1249-1270, December.
    23. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    24. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    25. Michel, Bernhard, 2013. "Does offshoring contribute to reducing domestic air emissions? Evidence from Belgian manufacturing," Ecological Economics, Elsevier, vol. 95(C), pages 73-82.
    26. Feng, Kuishuang & Hubacek, Klaus & Guan, Dabo, 2009. "Lifestyles, technology and CO2 emissions in China: A regional comparative analysis," Ecological Economics, Elsevier, vol. 69(1), pages 145-154, November.
    27. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    28. 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.
    29. de Boer, Paul, 2009. "Generalized Fisher index or Siegel-Shapley decomposition?," Energy Economics, Elsevier, vol. 31(5), pages 810-814, September.
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