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Promises and pitfalls in environmentally extended input-output analysis for China: a survey of the literature

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  • Hawkins, Jacob
  • Ma, Chunbo
  • Schilizzi, Steven
  • Zhang, Fan

Abstract

As the largest developing economy, China plays a key role in global climate change. Environmentally extended input-output analysis (EE-IOA) is an important and insightful tool seeing widespread use in studying large-scale environmental impacts in China: calculating and analyzing greenhouse gas emissions, carbon and water footprints, pollution, and embedded energy. Chinese EE-IOA are hindered, however, by unreliable data and limited resolution. This paper reviews the body of literature regarding EE-IOA for China in peer-reviewed journals and provides an overview of the articles, examining their methodologies, environmental issues addressed, and data utilized. This paper further identifies the shortcomings in using input-output analyses to gauge environmental impacts in China. Potentially fruitful areas of expansion in Chinese EE-IOA research are denoted, including under-researched environmental issues, underutilized methodologies, and techniques to disaggregate data to move beyond the limitations inherent in official Chinese input-output data.

Suggested Citation

  • Hawkins, Jacob & Ma, Chunbo & Schilizzi, Steven & Zhang, Fan, 2015. "Promises and pitfalls in environmentally extended input-output analysis for China: a survey of the literature," Working Papers 200175, University of Western Australia, School of Agricultural and Resource Economics.
  • Handle: RePEc:ags:uwauwp:200175
    DOI: 10.22004/ag.econ.200175
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Zhu, Bangzhu & Su, Bin & Li, Yingzhu, 2018. "Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14," Applied Energy, Elsevier, vol. 230(C), pages 1545-1556.
    3. Zhang, Bo & Qu, Xue & Meng, Jing & Sun, Xudong, 2017. "Identifying primary energy requirements in structural path analysis: A case study of China 2012," Applied Energy, Elsevier, vol. 191(C), pages 425-435.
    4. Wang, Ke & Wang, Jiayu & Wei, Yi-Ming & Zhang, Chi, 2018. "A novel dataset of emission abatement sector extended input-output table for environmental policy analysis," Applied Energy, Elsevier, vol. 231(C), pages 1259-1267.
    5. Chen, Zhan-Ming & Liu, Yu & Qin, Ping & Zhang, Bo & Lester, Leo & Chen, Guanghua & Guo, Yumei & Zheng, Xinye, 2015. "Environmental externality of coal use in China: Welfare effect and tax regulation," Applied Energy, Elsevier, vol. 156(C), pages 16-31.
    6. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    7. 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.
    8. Zhang, Bo & Yang, T.R. & Chen, B. & Sun, X.D., 2016. "China’s regional CH4 emissions: Characteristics, interregional transfer and mitigation policies," Applied Energy, Elsevier, vol. 184(C), pages 1184-1195.
    9. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    10. Li, Yingzhu & Su, Bin & Dasgupta, Shyamasree, 2018. "Structural path analysis of India's carbon emissions using input-output and social accounting matrix frameworks," Energy Economics, Elsevier, vol. 76(C), pages 457-469.
    11. He, Peijun & Ng, Tsan Sheng & Su, Bin, 2017. "Energy-economic recovery resilience with Input-Output linear programming models," Energy Economics, Elsevier, vol. 68(C), pages 177-191.
    12. Guan, Shihui & Han, Mengyao & Wu, Xiaofang & Guan, ChengHe & Zhang, Bo, 2019. "Exploring energy-water-land nexus in national supply chains: China 2012," Energy, Elsevier, vol. 185(C), pages 1225-1234.
    13. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.

    More about this item

    Keywords

    Environmental Economics and Policy; Resource /Energy Economics and Policy;

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis
    • F18 - International Economics - - Trade - - - Trade and Environment
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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