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China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis

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  • Wang, Zhenguo
  • Su, Bin
  • Xie, Rui
  • Long, Haiyu

Abstract

The striking disparities among China’s provinces suggest the need for regionalized carbon emission intensity mitigation measures. This study extends the aggregate embodied energy/emission intensity measures proposed by Su and Ang (2017) to a national multi-region setting, defines the aggregate embodied CO2 emission intensity (AECI) indicators at the aggregate, provincial, and final demand category levels from the demand perspective, and adopts multiplicative structural decomposition analysis (SDA) to identify the driving factors of the historical changes over the 2007–2012 period in China. On the basis of China’s latest multiregion input-output tables, we find that (a) the AECIs show heterogeneities across the provinces and final demand categories, with the AECIs of inland provinces higher than those of coastal provinces and the AECIs of investment and export higher than those of consumption; (b) the generally downward trends of the AECIs hold at different levels, and the improvements in carbon emission performances are more pronounced in inland provinces, presenting a convergence toward the levels of developed coastal provinces; (c) according to the multiplicative SDA results, the input structure effect and the emission intensity effect generally contribute to the decline of AECIs. By providing a deeper understanding of carbon emission performance and its driving factors at the subnational level, our study finally proposes some policy recommendations.

Suggested Citation

  • Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:eneeco:v:85:y:2020:i:c:s0140988319303639
    DOI: 10.1016/j.eneco.2019.104568
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    1. Wang, Zhaohua & Zhang, Bin & Liu, Tongfan, 2016. "Empirical analysis on the factors influencing national and regional carbon intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 34-42.
    2. Su, Bin & Ang, B.W. & Li, Yingzhu, 2017. "Input-output and structural decomposition analysis of Singapore's carbon emissions," Energy Policy, Elsevier, vol. 105(C), pages 484-492.
    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. Nicholas Z. Muller & Robert Mendelsohn & William Nordhaus, 2011. "Environmental Accounting for Pollution in the United States Economy," American Economic Review, American Economic Association, vol. 101(5), pages 1649-1675, August.
    5. Jiang, Xuemei & Guan, Dabo & Zhang, Jin & Zhu, Kunfu & Green, Christopher, 2015. "Firm ownership, China's export related emissions, and the responsibility issue," Energy Economics, Elsevier, vol. 51(C), pages 466-474.
    6. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    7. Cai, Wenjia & Wang, Can & Chen, Jining & Wang, Ke & Zhang, Ying & Lu, Xuedu, 2008. "Comparison of CO2 emission scenarios and mitigation opportunities in China's five sectors in 2020," Energy Policy, Elsevier, vol. 36(3), pages 1181-1194, March.
    8. Marcel P. Timmer & Bart Los & Robert Stehrer & Gaaitzen J. de Vries, 2013. "Fragmentation, incomes and jobs: an analysis of European competitiveness [Who captures value in global supply chains?]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 28(76), pages 613-661.
    9. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Transport sector CO2 emissions growth in Asia: Underlying factors and policy options," Energy Policy, Elsevier, vol. 37(11), pages 4523-4539, November.
    10. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    11. Ang, B.W. & Mu, A.R. & Zhou, P., 2010. "Accounting frameworks for tracking energy efficiency trends," Energy Economics, Elsevier, vol. 32(5), pages 1209-1219, September.
    12. Judith M. Dean & Mary E. Lovely, 2010. "Trade Growth, Production Fragmentation, and China's Environment," NBER Chapters, in: China's Growing Role in World Trade, pages 429-469, National Bureau of Economic Research, Inc.
    13. Yue-Jun Zhang & Zhao Liu & Huan Zhang & Tai-De Tan, 2014. "The impact of economic growth, industrial structure and urbanization on carbon emission intensity 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. 73(2), pages 579-595, September.
    14. Liu, Yu & Meng, Bo & Hubacek, Klaus & Xue, Jinjun & Feng, Kuishuang & Gao, Yuning, 2016. "‘Made in China’: A reevaluation of embodied CO2 emissions in Chinese exports using firm heterogeneity information," Applied Energy, Elsevier, vol. 184(C), pages 1106-1113.
    15. Xia, Yan & Fan, Ying & Yang, Cuihong, 2015. "Assessing the impact of foreign content in China’s exports on the carbon outsourcing hypothesis," Applied Energy, Elsevier, vol. 150(C), pages 296-307.
    16. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    17. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    18. Rodríguez, Miguel & Pena-Boquete, Yolanda, 2017. "Carbon intensity changes in the Asian Dragons. Lessons for climate policy design," Energy Economics, Elsevier, vol. 66(C), pages 17-26.
    19. 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.
    20. Michel, Bernhard, 2013. "Does offshoring contribute to reducing domestic air emissions? Evidence from Belgian manufacturing," Ecological Economics, Elsevier, vol. 95(C), pages 73-82.
    21. Dietzenbacher, Erik & Pei, Jiansuo & Yang, Cuihong, 2012. "Trade, production fragmentation, and China's carbon dioxide emissions," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 88-101.
    22. Zhang, Wei & Li, Ke & Zhou, Dequn & Zhang, Wenrui & Gao, Hui, 2016. "Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method," Energy Policy, Elsevier, vol. 92(C), pages 369-381.
    23. 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.
    24. 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.
    25. Vera, Ivan & Langlois, Lucille, 2007. "Energy indicators for sustainable development," Energy, Elsevier, vol. 32(6), pages 875-882.
    26. 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.
    27. Ang, B.W. & Liu, F.L. & Chung, Hyun-Sik, 2004. "A generalized Fisher index approach to energy decomposition analysis," Energy Economics, Elsevier, vol. 26(5), pages 757-763, September.
    28. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    29. Marcel P. Timmer & Erik Dietzenbacher & Bart Los & Robert Stehrer & Gaaitzen J. Vries, 2015. "An Illustrated User Guide to the World Input–Output Database: the Case of Global Automotive Production," Review of International Economics, Wiley Blackwell, vol. 23(3), pages 575-605, August.
    30. 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.
    31. 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.
    32. Duan, Yuwan & Yan, Bingqian, 2019. "Economic gains and environmental losses from international trade: A decomposition of pollution intensity in China's value-added trade," Energy Economics, Elsevier, vol. 83(C), pages 540-554.
    33. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    34. Su, Bin & Ang, B.W. & Li, Yingzhu, 2019. "Structural path and decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 83(C), pages 345-360.
    35. 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.
    36. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
    37. Zhang, Youguo & Tang, Zhipeng, 2015. "Driving factors of carbon embodied in China's provincial exports," Energy Economics, Elsevier, vol. 51(C), pages 445-454.
    38. Su, Bin & Ang, B.W. & Low, Melissa, 2013. "Input–output analysis of CO2 emissions embodied in trade and the driving forces: Processing and normal exports," Ecological Economics, Elsevier, vol. 88(C), pages 119-125.
    39. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    40. Su, Bin & Thomson, Elspeth, 2016. "China's carbon emissions embodied in (normal and processing) exports and their driving forces, 2006–2012," Energy Economics, Elsevier, vol. 59(C), pages 414-422.
    41. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Why have CO2 emissions increased in the transport sector in Asia ? underlying factors and policy options," Policy Research Working Paper Series 5098, The World Bank.
    42. Wood, Richard & Lenzen, Manfred, 2009. "Structural path decomposition," Energy Economics, Elsevier, vol. 31(3), pages 335-341, May.
    43. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    44. Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
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    Keywords

    Aggregate embodied CO2 emission intensity; Multiplicative structural decomposition analysis; Multi-region input-output analysis; China;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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