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A novel dataset of emission abatement sector extended input-output table for environmental policy analysis

Author

Listed:
  • Ke Wang
  • Jiayu Wang
  • Yi-Ming Wei
  • Chi Zhang

Abstract

Environmentally extended input-output table (EEIOT), a balanced matrix of industrial commodity and environmental resources, is widely used to evaluate environmental policy impacts. However, the existing EEIOTs contain energy consumption and pollution emission but neglect emission abatement cost and benefit. In this study, a novel Chinese emission abatement sector extended input-output table (EAS-IOT) is developed through introducing abatement cost, emission charge and abatement benefit into the conventional input-output table. Furthermore, this new EAS-IOT is applied to estimate the environmental efficiency and assess the effects of environmental policies on economy and environment. Results show that the new framework of EAS-IOT has advantage on solving the problem of biased efficiency estimation related to the conventional input-output table.

Suggested Citation

  • Ke Wang & Jiayu Wang & Yi-Ming Wei & Chi Zhang, 2018. "A novel dataset of emission abatement sector extended input-output table for environmental policy analysis," CEEP-BIT Working Papers 119, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
  • Handle: RePEc:biw:wpaper:119
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    File URL: http://ceep.bit.edu.cn/docs/2018-10/20181012083239987690.pdf
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    1. Huijie Yan, 2015. "The Integration of Energy, Environment and Health Policies in China: A Review," Working Papers halshs-01247183, HAL.
    2. Xiangzheng Deng & Fan Zhang & Zhan Wang & Xing Li & Tao Zhang, 2014. "An Extended Input Output Table Compiled for Analyzing Water Demand and Consumption at County Level in China," Sustainability, MDPI, vol. 6(6), pages 1-20, May.
    3. Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2016. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," Omega, Elsevier, vol. 63(C), pages 48-59.
    4. Ke Wang & Zhifu Mi & Yi‐Ming Wei, 2019. "Will Pollution Taxes Improve Joint Ecological and Economic Efficiency of Thermal Power Industry in China?: A DEA‐Based Materials Balance Approach," Journal of Industrial Ecology, Yale University, vol. 23(2), pages 389-401, April.
    5. Tukker, Arnold & Poliakov, Evgueni & Heijungs, Reinout & Hawkins, Troy & Neuwahl, Frederik & Rueda-Cantuche, José M. & Giljum, Stefan & Moll, Stephan & Oosterhaven, Jan & Bouwmeester, Maaike, 2009. "Towards a global multi-regional environmentally extended input-output database," Ecological Economics, Elsevier, vol. 68(7), pages 1928-1937, May.
    6. 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," Energy Economics, Elsevier, vol. 48(C), pages 81-88.
    7. Kerkhof, Annemarie C. & Nonhebel, Sanderine & Moll, Henri C., 2009. "Relating the environmental impact of consumption to household expenditures: An input-output analysis," Ecological Economics, Elsevier, vol. 68(4), pages 1160-1170, February.
    8. Igos, Elorri & Rugani, Benedetto & Rege, Sameer & Benetto, Enrico & Drouet, Laurent & Zachary, Daniel S., 2015. "Combination of equilibrium models and hybrid life cycle-input–output analysis to predict the environmental impacts of energy policy scenarios," Applied Energy, Elsevier, vol. 145(C), pages 234-245.
    9. Hubacek, Klaus & Sun, Laixiang, 2001. "A scenario analysis of China's land use and land cover change: incorporating biophysical information into input-output modeling," Structural Change and Economic Dynamics, Elsevier, vol. 12(4), pages 367-397, December.
    10. Ke Wang, 2016. "Potential carbon emission abatement cost recovery from carbon emission trading in China: an estimation of industry sector," CEEP-BIT Working Papers 94, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    11. Sai Liang & Tiantian Feng & Shen Qu & Anthony S.F. Chiu & Xiaoping Jia & Ming Xu, 2017. "Developing the Chinese Environmentally Extended Input-Output (CEEIO) Database," Journal of Industrial Ecology, Yale University, vol. 21(4), pages 953-965, August.
    12. Alfons Oude Lansink & Alan Wall, 2014. "Frontier models for evaluating environmental efficiency: an overview," Economics and Business Letters, Oviedo University Press, vol. 3(1), pages 43-50.
    13. Rocco, Matteo V. & Colombo, Emanuela, 2016. "Internalization of human labor in embodied energy analysis: Definition and application of a novel approach based on Environmentally extended Input-Output analysis," Applied Energy, Elsevier, vol. 182(C), pages 590-601.
    14. Nagashima, Shin & Uchiyama, Yohji & Okajima, Keiichi, 2017. "Hybrid input–output table method for socioeconomic and environmental assessment of a wind power generation system," Applied Energy, Elsevier, vol. 185(P2), pages 1067-1075.
    15. Reynolds, Christian John & Piantadosi, Julia & Buckley, Jonathan David & Weinstein, Philip & Boland, John, 2015. "Evaluation of the environmental impact of weekly food consumption in different socio-economic households in Australia using environmentally extended input–output analysis," Ecological Economics, Elsevier, vol. 111(C), pages 58-64.
    16. Huijie Yan, 2015. "The Integration of Energy, Environment and Health Policies in China: A Review," AMSE Working Papers 1548, Aix-Marseille School of Economics, France, revised 10 Nov 2015.
    17. Stanislav Edward Shmelev (ODID), "undated". "Environmentally Extended Input-Output Analysis of the UK Economy: Key Sector Analysis," QEH Working Papers qehwps183, Queen Elizabeth House, University of Oxford.
    18. Mahlberg, Bernhard & Luptacik, Mikulas, 2014. "Eco-efficiency and eco-productivity change over time in a multisectoral economic system," European Journal of Operational Research, Elsevier, vol. 234(3), pages 885-897.
    19. Osmo Forssell & Karen Polenske, 1998. "Introduction: Input-Output and the Environment," Economic Systems Research, Taylor & Francis Journals, vol. 10(2), pages 91-97.
    20. Min Zhang & Guangyu Wang & Yi Gao & Zhenqi Wang & Feng Mi, 2017. "Trade-Offs between Economic and Environmental Optimization of the Forest Biomass Generation Supply Chain in Inner Mongolia, China," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
    21. Konstantin Stadler & Richard Wood & Tatyana Bulavskaya & Carl†Johan Södersten & Moana Simas & Sarah Schmidt & Arkaitz Usubiaga & José Acosta†Fernández & Jeroen Kuenen & Martin Bruckner & Stefan, 2018. "EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi†Regional Input†Output Tables," Journal of Industrial Ecology, Yale University, vol. 22(3), pages 502-515, June.
    22. Li, J.S. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2015. "Mercury emissions by Beijing׳s fossil energy consumption: Based on environmentally extended input–output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1167-1175.
    23. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2017. "Environmental efficiency and abatement efficiency measurements of China¡¯s thermal power industry: A data envelopment analysis based materials balance approach," CEEP-BIT Working Papers 108, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    24. Guevara, Zeus & Domingos, Tiago, 2017. "The multi-factor energy input–output model," Energy Economics, Elsevier, vol. 61(C), pages 261-269.
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    3. Jiekun Song & Lina Jiang & Zeguo He & Zhicheng Liu & Xueli Leng, 2022. "Characteristics Analysis and Identification of Key Sectors of Air Pollutant Emissions in China from the Perspective of Complex Metabolic Network," IJERPH, MDPI, vol. 19(15), pages 1-28, July.
    4. Liu, Lirong & Huang, Guohe & Baetz, Brian & Huang, Charley Z. & Zhang, Kaiqiang, 2019. "Integrated GHG emissions and emission relationships analysis through a disaggregated ecologically-extended input-output model; A case study for Saskatchewan, Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 97-109.
    5. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
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    More about this item

    Keywords

    Data on emission abatement cost and benefit; extended input-output table; emission abatement sector; environmental policy;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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