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Segmented carbon tax may significantly affect the regional and national economy and environment-a CGE-based analysis for Guangdong Province

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  • Zhai, Mengyu
  • Huang, Guohe
  • Liu, Lirong
  • Guo, Zhengquan
  • Su, Shuai

Abstract

Facing the conflicts of climate change, energy consumption, carbon emission, and economic development, it is essential to investigate the impacts of the carbon tax policy implemented in specific regions. A CGE-based multi-dimensional carbon policy (CMDCP) model is developed to i) explore the inter-provincial interdependences by interfering with the economic policies of a single province, and ii) quantify interactive relationships among various components including climate, energy, carbon economy and tax. Integrated approach of computable general equilibrium model and input-output analysis is applied to a series of segmented carbon tax schemes for Guangdong IC modeling and China IE modeling. It is found that when the carbon tax rate is 100 yuan/ton, the GDP of Guangdong will fall by less than 0.5% under three scenario types. At the same time, they could bring 1.3, 1.2 and 1.6 million tons of emission reductions. Levying the carbon tax based on the difference in carbon emission volume is most beneficial for emission intensity reduction. For China, the impact of the segmented carbon tax in specific province has a slight impact on the entire supply chain emissions. It is suggested that a carbon tax of 10–40 yuan/ton could be adopted by Guangdong. Moreover, Guangdong could consider implementing the stepped carbon tax for it can effectively avoid the lack of flexibility of traditional carbon tax policy.

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  • 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).
    • Handle: RePEc:eee:energy:v:231:y:2021:i:c:s0360544221012068
    DOI: 10.1016/j.energy.2021.120958
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    as
    1. Ding, Suiting & Zhang, Ming & Song, Yan, 2019. "Exploring China's carbon emissions peak for different carbon tax scenarios," Energy Policy, Elsevier, vol. 129(C), pages 1245-1252.
    2. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    3. Zhiyong Yang & Wenjie Dong & Jinfeng Xiu & Rufeng Dai & Jieming Chou, 2015. "Structural Path Analysis of Fossil Fuel Based CO2 Emissions: A Case Study for China," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-25, September.
    4. Ning, Yadong & Chen, Kunkun & Zhang, Boya & Ding, Tao & Guo, Fei & Zhang, Ming, 2020. "Energy conservation and emission reduction path selection in China: A simulation based on Bi-Level multi-objective optimization model," Energy Policy, Elsevier, vol. 137(C).
    5. Ghaith, Ahmad F. & Epplin, Francis M., 2017. "Consequences of a carbon tax on household electricity use and cost, carbon emissions, and economics of household solar and wind," Energy Economics, Elsevier, vol. 67(C), pages 159-168.
    6. 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.
    7. Llop, Maria & Ponce-Alifonso, Xavier, 2015. "Identifying the role of final consumption in structural path analysis: An application to water uses," Ecological Economics, Elsevier, vol. 109(C), pages 203-210.
    8. Orlov, Anton & Grethe, Harald, 2012. "Carbon taxation and market structure: A CGE analysis for Russia," Energy Policy, Elsevier, vol. 51(C), pages 696-707.
    9. Wang, Peng & Dai, Han-cheng & Ren, Song-yan & Zhao, Dai-qing & Masui, Toshihiko, 2015. "Achieving Copenhagen target through carbon emission trading: Economic impacts assessment in Guangdong Province of China," Energy, Elsevier, vol. 79(C), pages 212-227.
    10. Xie, Y.L. & Xia, D.H. & Ji, L. & Zhou, W.N. & Huang, G.H., 2017. "An inexact cost-risk balanced model for regional energy structure adjustment management and resources environmental effect analysis-a case study of Shandong province, China," Energy, Elsevier, vol. 126(C), pages 374-391.
    11. Beck, Marisa & Rivers, Nicholas & Wigle, Randall & Yonezawa, Hidemichi, 2015. "Carbon tax and revenue recycling: Impacts on households in British Columbia," Resource and Energy Economics, Elsevier, vol. 41(C), pages 40-69.
    12. Go, Delfin S. & Lofgren, Hans & Ramos, Fabian Mendez & Robinson, Sherman, 2016. "Estimating parameters and structural change in CGE models using a Bayesian cross-entropy estimation approach," Economic Modelling, Elsevier, vol. 52(PB), pages 790-811.
    13. Nakata, T, 2002. "Analysis of the impacts of nuclear phase-out on energy systems in Japan," Energy, Elsevier, vol. 27(4), pages 363-377.
    14. Edjabou, Louise Dyhr & Smed, Sinne, 2013. "The effect of using consumption taxes on foods to promote climate friendly diets – The case of Denmark," Food Policy, Elsevier, vol. 39(C), pages 84-96.
    15. Sovacool, Benjamin K., 2013. "Energy policymaking in Denmark: Implications for global energy security and sustainability," Energy Policy, Elsevier, vol. 61(C), pages 829-839.
    16. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Zheng, Boyue & Guan, Yuru, 2020. "Inter-regional carbon flows embodied in electricity transmission: network simulation for energy-carbon nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    17. 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.
    18. Wolsky, Alan Martin, 1984. "Disaggregating Input-Output Models," The Review of Economics and Statistics, MIT Press, vol. 66(2), pages 283-291, May.
    19. Yao, Xin & Zhou, Hongchen & Zhang, Aizhen & Li, Aijun, 2015. "Regional energy efficiency, carbon emission performance and technology gaps in China: A meta-frontier non-radial directional distance function analysis," Energy Policy, Elsevier, vol. 84(C), pages 142-154.
    20. Guo, Zhengquan & Zhang, Xingping & Zheng, Yuhua & Rao, Rao, 2014. "Exploring the impacts of a carbon tax on the Chinese economy using a CGE model with a detailed disaggregation of energy sectors," Energy Economics, Elsevier, vol. 45(C), pages 455-462.
    21. Yu, L. & Li, Y.P. & Huang, G.H., 2016. "A fuzzy-stochastic simulation-optimization model for planning electric power systems with considering peak-electricity demand: A case study of Qingdao, China," Energy, Elsevier, vol. 98(C), pages 190-203.
    22. Song, Yan & Sun, Junjie & Zhang, Ming & Su, Bin, 2020. "Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 120-129.
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