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A two-phase factorial input-output model for analyzing CO2-emission reduction pathway and strategy from multiple perspectives – A case study of Fujian province

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  • Wang, G.Y.
  • Li, Y.P.
  • Liu, J.
  • Huang, G.H.
  • Chen, L.R.
  • Yang, Y.J.
  • Gao, P.P.

Abstract

In this study, a two-phase factorial input-output model (TFIOM) is developed for carbon dioxide (CO2) emission mitigation, through integrating input-output model (IOM) and two-phase factorial analysis (TFA) into a general framework. TFIOM can identify the main sectors of CO2 emission, quantify the individual and interactive effects of the main factors (i.e. various CO2 management strategies implemented on different sectors) on reduction target, as well as seek CO2-emission reduction pathways and strategies from multiple perspectives (i.e. energy structure adjustment strategy (ESAS), technology upgrade strategy (TUS), and industrial structure adjustment strategy (ISAS)). The developed TFIOM is applied to Fujian province (in China), and results reveal that industries of chemical, non-metallic, metal smelting (MSI), and electric heating (EGW) are the main CO2-emission sectors (i.e. occupying 57.6% of direct emission and 56.4% of indirect emission). The joint application of ESAS (applied to EGW) and TUS (applied to MSI) has the best effect in reducing carbon emission intensity (decreasing by 24.5%). Among all scenarios, Scenario 115 shows the most desirable emission-reduction effect (i.e. carbon emission intensity, energy intensity, total direct emission, and total indirect emission would respectively decrease by 22.3%, 7.6%, 21.3% and 5.1%, and the cost of reducing CO2 per ton would be 182 RMB¥).

Suggested Citation

  • Wang, G.Y. & Li, Y.P. & Liu, J. & Huang, G.H. & Chen, L.R. & Yang, Y.J. & Gao, P.P., 2022. "A two-phase factorial input-output model for analyzing CO2-emission reduction pathway and strategy from multiple perspectives – A case study of Fujian province," Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:energy:v:248:y:2022:i:c:s0360544222005187
    DOI: 10.1016/j.energy.2022.123615
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    as
    1. Nabernegg, Stefan & Bednar-Friedl, Birgit & Muñoz, Pablo & Titz, Michaela & Vogel, Johanna, 2019. "National Policies for Global Emission Reductions: Effectiveness of Carbon Emission Reductions in International Supply Chains," Ecological Economics, Elsevier, vol. 158(C), pages 146-157.
    2. Zhu, Y. & Li, Y.P. & Huang, G.H., 2013. "Planning carbon emission trading for Beijing's electric power systems under dual uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 113-128.
    3. Lv, J. & Li, Y.P. & Shan, B.G. & Jin, S.W. & Suo, C., 2018. "Planning energy-water nexus system under multiple uncertainties – A case study of Hebei province," Applied Energy, Elsevier, vol. 229(C), pages 389-403.
    4. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Guo, Zhengquan & Su, Shuai, 2021. "Segmented carbon tax may significantly affect the regional and national economy and environment-a CGE-based analysis for Guangdong Province," Energy, Elsevier, vol. 231(C).
    5. Wang, Ning & Ren, Yixin & Zhu, Tao & Meng, Fanxin & Wen, Zongguo & Liu, Gengyuan, 2018. "Life cycle carbon emission modelling of coal-fired power: Chinese case," Energy, Elsevier, vol. 162(C), pages 841-852.
    6. Gao, Tong & Fang, Delin & Chen, Bin, 2020. "Multi-regional input-output and linkage analysis for water-PM2.5 nexus," Applied Energy, Elsevier, vol. 268(C).
    7. Chen, Yingwen & Wong, Christina W.Y. & Yang, Rui & Miao, Xin, 2021. "Optimal structure adjustment strategy, emission reduction potential and utilization efficiency of fossil energies in China," Energy, Elsevier, vol. 237(C).
    8. Tian, Xu & Chen, Bin & Geng, Yong & Zhong, Shaozhuo & Gao, Cuixia & Wilson, Jeffrey & Cui, Xiaowei & Dou, Yi, 2019. "Energy footprint pathways of China," Energy, Elsevier, vol. 180(C), pages 330-340.
    9. Meng, Fanxin & Liu, Gengyuan & Chang, Yuan & Su, Meirong & Hu, Yuanchao & Yang, Zhifeng, 2019. "Quantification of urban water-carbon nexus using disaggregated input-output model: A case study in Beijing (China)," Energy, Elsevier, vol. 171(C), pages 403-418.
    10. Choi, Yongrok & Zhang, Ning & Zhou, P., 2012. "Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure," Applied Energy, Elsevier, vol. 98(C), pages 198-208.
    11. Fan, Xiaojia & Wu, Sanmang & Li, Shantong, 2019. "Spatial-temporal analysis of carbon emissions embodied in interprovincial trade and optimization strategies: A case study of Hebei, China," Energy, Elsevier, vol. 185(C), pages 1235-1249.
    12. White, David J. & Hubacek, Klaus & Feng, Kuishuang & Sun, Laixiang & Meng, Bo, 2018. "The Water-Energy-Food Nexus in East Asia: A tele-connected value chain analysis using inter-regional input-output analysis," Applied Energy, Elsevier, vol. 210(C), pages 550-567.
    13. Zhang, Yu & Zhang, Yanjun & Yu, Hai & Li, Jianming & Xie, Yangyang & Lei, Zhihong, 2020. "Geothermal resource potential assessment of Fujian Province, China, based on geographic information system (GIS) -supported models," Renewable Energy, Elsevier, vol. 153(C), pages 564-579.
    14. Jiang, Qingquan & Khattak, Shoukat Iqbal & Rahman, Zia Ur, 2021. "Measuring the simultaneous effects of electricity consumption and production on carbon dioxide emissions (CO2e) in China: New evidence from an EKC-based assessment," Energy, Elsevier, vol. 229(C).
    15. 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.
    16. Bianco, Vincenzo & Cascetta, Furio & Marino, Alfonso & Nardini, Sergio, 2019. "Understanding energy consumption and carbon emissions in Europe: A focus on inequality issues," Energy, Elsevier, vol. 170(C), pages 120-130.
    17. Wang, Jian & Lv, Kangjuan & Bian, Yiwen & Cheng, Yu, 2017. "Energy efficiency and marginal carbon dioxide emission abatement cost in urban China," Energy Policy, Elsevier, vol. 105(C), pages 246-255.
    18. Wesseh, Presley K. & Lin, Boqiang, 2020. "Energy substitution and technology costs in a transitional economy," Energy, Elsevier, vol. 203(C).
    19. Vaccaro, Roberto & Rocco, Matteo V., 2021. "Quantifying the impact of low carbon transition scenarios at regional level through soft-linked energy and economy models: The case of South-Tyrol Province in Italy," Energy, Elsevier, vol. 220(C).
    20. Liu, Jiaguo & Li, Sujuan & Ji, Qiang, 2021. "Regional differences and driving factors analysis of carbon emission intensity from transport sector in China," Energy, Elsevier, vol. 224(C).
    21. Deng, Guangyao & Xu, Yan, 2017. "Accounting and structure decomposition analysis of embodied carbon trade: A global perspective," Energy, Elsevier, vol. 137(C), pages 140-151.
    22. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
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    2. Wang, Yihan & Zhang, Lanxin & Wen, Zongguo & Chen, Chen & Cao, Xin & Doh Dinga, Christian, 2023. "Optimization of the sustainable production pathways under multiple industries and objectives: A study of China's three energy- and emission-intensive industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
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