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Disaggregating The Electricity Sector Of China'S Input-Output Table For Improved Environmental Life-Cycle Assessment

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  • S. Lindner
  • J. Legault
  • D. Guan

Abstract

Missing process detail of sectors in Input-Output (I-O) tables has been pointed out as a limitation of I-O analysis in environmental-economic life cycle assessment. Aggregation of resource-intensive sectors decreases the accuracy of the results. Often, economic sectors are compiled in a more aggregated form than environmental satellite accounts, and as [Lenzen, M. (2011) Aggregation Versus Disaggregation in Input-Output Analysis of the Environment. Economic Systems Research , 23, 73-89] asserts, it is superior for environmental analysis to disaggregate the I-O table, even if only partial information exists for the disaggregation. In this paper we present a methodology to disaggregate the electricity sector of the Chinese national I-O table by using regional information and cost data for operation and maintenance of power plants. The electricity sector is disaggregated into a transmission and distribution sector as well as eight sub-sectors representing different types of technology in power plants (subcritical coal, hydro, etc.). The electricity consumption mix of each industry is determined by using regional industry presence and regional electricity power mixes. The disaggregated I-O table offers refined results for calculating emissions embodied in international exports from China, a valuable contribution for estimating national greenhouse gases emissions inventories under the consumption-based approach for countries that rely heavily on imports of goods from China.

Suggested Citation

  • S. Lindner & J. Legault & D. Guan, 2013. "Disaggregating The Electricity Sector Of China'S Input-Output Table For Improved Environmental Life-Cycle Assessment," Economic Systems Research, Taylor & Francis Journals, vol. 25(3), pages 300-320, September.
    • Handle: RePEc:taf:ecsysr:v:25:y:2013:i:3:p:300-320
    DOI: 10.1080/09535314.2012.746646
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    Cited by:

    1. 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.
    2. Liu, Lirong & Huang, Guohe & Baetz, Brian & Zhang, Kaiqiang, 2018. "Environmentally-extended input-output simulation for analyzing production-based and consumption-based industrial greenhouse gas mitigation policies," Applied Energy, Elsevier, vol. 232(C), pages 69-78.
    3. Wan, Liyang & Wang, Can & Cai, Wenjia, 2016. "Impacts on water consumption of power sector in major emitting economies under INDC and longer term mitigation scenarios: An input-output based hybrid approach," Applied Energy, Elsevier, vol. 184(C), pages 26-39.
    4. Weijiang Liu & Min Liu & Tingting Liu & Yangyang Li & Yizhe Hao, 2022. "Does a Recycling Carbon Tax with Technological Progress in Clean Electricity Drive the Green Economy?," IJERPH, MDPI, vol. 19(3), pages 1-18, February.
    5. Chen, Shuyang & Wang, Can, 2023. "Inequality impacts of ETS penalties: A case study on the recent Chinese nationwide ETS market," Energy Policy, Elsevier, vol. 173(C).
    6. Grant J Allan & Kevin Connolly & Stuart G McIntyre, 2021. "Developing an electricity satellite account (ELSA): an application to Scotland, UK," Economic Systems Research, Taylor & Francis Journals, vol. 33(1), pages 47-66, January.
    7. Satoshi Nakano & Sonoe Arai & Ayu Washizu, 2017. "Economic impacts of Japan’s renewable energy sector and the feed-in tariff system: using an input–output table to analyze a next-generation energy system," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(3), pages 555-580, July.
    8. Kang, Jidong & Ng, Tsan Sheng & Su, Bin, 2020. "Optimizing electricity mix for CO2 emissions reduction: A robust input-output linear programming model," European Journal of Operational Research, Elsevier, vol. 287(1), pages 280-292.
    9. Fan He & Yang Yang & Xin Liu & Dong Wang & Junping Ji & Zhibin Yi, 2021. "Input–Output Analysis of China’s CO 2 Emissions in 2017 Based on Data of 149 Sectors," Sustainability, MDPI, vol. 13(8), pages 1-27, April.
    10. Shuyang Chen, 2022. "The inequality impacts of the carbon tax in China," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    11. Ma, Jia-Jun & Du, Gang & Xie, Bai-Chen, 2019. "CO2 emission changes of China's power generation system: Input-output subsystem analysis," Energy Policy, Elsevier, vol. 124(C), pages 1-12.
    12. Liu, Lirong & Huang, Gordon & Baetz, Brian & Cheng, Guanhui & Pittendrigh, Scott M. & Pan, Siyue, 2020. "Input-output modeling analysis with a detailed disaggregation of energy sectors for climate change policy-making: A case study of Saskatchewan, Canada," Renewable Energy, Elsevier, vol. 151(C), pages 1307-1317.
    13. Liu, Lirong & Huang, Charley Z. & Huang, Guohe & Baetz, Brian & Pittendrigh, Scott M., 2018. "How a carbon tax will affect an emission-intensive economy: A case study of the Province of Saskatchewan, Canada," Energy, Elsevier, vol. 159(C), pages 817-826.
    14. 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.
    15. Ramos, Carmen & García, Ana Salomé & Moreno, Blanca & Díaz, Guzmán, 2019. "Small-scale renewable power technologies are an alternative to reach a sustainable economic growth: Evidence from Spain," Energy, Elsevier, vol. 167(C), pages 13-25.
    16. Yuan, Rong & Rodrigues, João F.D. & Tukker, Arnold & Behrens, Paul, 2018. "The impact of the expansion in non-fossil electricity infrastructure on China’s carbon emissions," Applied Energy, Elsevier, vol. 228(C), pages 1994-2008.
    17. Meng, Fanxin & Liu, Gengyuan & Liang, Sai & Su, Meirong & Yang, Zhifeng, 2019. "Critical review of the energy-water-carbon nexus in cities," Energy, Elsevier, vol. 171(C), pages 1017-1032.

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