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Revealing the impact of an energy–water–carbon nexus–based joint tax management policy on the environ-economic system

Author

Listed:
  • Zhang, Jinbo
  • Liu, Lirong
  • Xie, Yulei
  • Han, Dengcheng
  • Zhang, Yang
  • Li, Zheng
  • Guo, Huaicheng

Abstract

Faced with deteriorating climatic conditions and aquatic environments, a unified framework is required to support joint management policies. In this study, a factorial energy–water–carbon nexus policy analysis model is first developed (i) to explore the complex environ-economic impacts of multiple carbon taxes and wastewater taxes; (ii) to quantify factor interactions and their primary effects; and (iii) to reveal the response mechanisms of supply chains under the cascading effect. A representative coal-dependent and water-scarce region, Shanxi Province, China, is investigated to illustrate the model viability. It is found that the adoption of a carbon tax of 10–40 yuan/ton can reduce carbon emissions by 5%–18% and the simultaneous levying of a wastewater tax of 1.4–14 yuan/ton can alleviate quality-based water scarcity, albeit with some economic contraction. Significant factor interactions imply the superiority of joint taxation strategies, especially for heavy industry. Under cascading effects, the transformation of construction, commercial, and transportation sectors will be promoted. Expanding diversified supply chain channels is also necessary for enhancing regional anti-risk capabilities. This study is intended to provide a new scientific perspective based on joint tax management to mitigate carbon emissions and quality-based water scarcity in regions with similar characteristics around the world.

Suggested Citation

  • Zhang, Jinbo & Liu, Lirong & Xie, Yulei & Han, Dengcheng & Zhang, Yang & Li, Zheng & Guo, Huaicheng, 2023. "Revealing the impact of an energy–water–carbon nexus–based joint tax management policy on the environ-economic system," Applied Energy, Elsevier, vol. 331(C).
  • Handle: RePEc:eee:appene:v:331:y:2023:i:c:s0306261922016543
    DOI: 10.1016/j.apenergy.2022.120397
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    as
    1. 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).
    2. Ojha, Vijay P. & Pohit, Sanjib & Ghosh, Joydeep, 2020. "Recycling carbon tax for inclusive green growth: A CGE analysis of India," Energy Policy, Elsevier, vol. 144(C).
    3. Lin, Boqiang & Jiang, Zhujun, 2011. "Estimates of energy subsidies in China and impact of energy subsidy reform," Energy Economics, Elsevier, vol. 33(2), pages 273-283, March.
    4. Ji, Ling & Liang, Sai & Qu, Shen & Zhang, Yanxia & Xu, Ming & Jia, Xiaoping & Jia, Yingtao & Niu, Dongxiao & Yuan, Jiahai & Hou, Yong & Wang, Haikun & Chiu, Anthony S.F. & Hu, Xiaojun, 2016. "Greenhouse gas emission factors of purchased electricity from interconnected grids," Applied Energy, Elsevier, vol. 184(C), pages 751-758.
    5. Algunaibet, Ibrahim M. & Pozo, Carlos & Galán-Martín, Ángel & Guillén-Gosálbez, Gonzalo, 2019. "Quantifying the cost of leaving the Paris Agreement via the integration of life cycle assessment, energy systems modeling and monetization," Applied Energy, Elsevier, vol. 242(C), pages 588-601.
    6. Sam Meng & Mahinda Siriwardana & Judith McNeill, 2013. "The Environmental and Economic Impact of the Carbon Tax in Australia," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(3), pages 313-332, March.
    7. Shahrokhi Shahraki, Hamed & Bachmann, Chris, 2019. "Integrating a Computable General Equilibrium model with empirically calibrated transportation models for border crossing investment analysis," Research in Transportation Economics, Elsevier, vol. 78(C).
    8. 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.
    9. Zeng, X.T. & Zhang, J.L. & Yu, L. & Zhu, J.X. & Li, Z. & Tang, L., 2019. "A sustainable water-food-energy plan to confront climatic and socioeconomic changes using simulation-optimization approach," Applied Energy, Elsevier, vol. 236(C), pages 743-759.
    10. Rodríguez, Miguel & Robaina, Margarita & Teotónio, Carla, 2019. "Sectoral effects of a Green Tax Reform in Portugal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 408-418.
    11. Allan, Grant & Lecca, Patrizio & McGregor, Peter & Swales, Kim, 2014. "The economic and environmental impact of a carbon tax for Scotland: A computable general equilibrium analysis," Ecological Economics, Elsevier, vol. 100(C), pages 40-50.
    12. Fan, Jing-Li & Kong, Ling-Si & Zhang, Xian, 2018. "Synergetic effects of water and climate policy on energy-water nexus in China: A computable general equilibrium analysis," Energy Policy, Elsevier, vol. 123(C), pages 308-317.
    13. Nong, Duy, 2020. "Development of the electricity-environmental policy CGE model (GTAP-E-PowerS): A case of the carbon tax in South Africa," Energy Policy, Elsevier, vol. 140(C).
    14. Banerjee, Suvajit, 2021. "Conjugation of border and domestic carbon adjustment and implications under production and consumption-based accounting of India's National Emission Inventory: A recursive dynamic CGE analysis," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 68-86.
    15. Zhang, Runsen & Fujimori, Shinichiro & Dai, Hancheng & Hanaoka, Tatsuya, 2018. "Contribution of the transport sector to climate change mitigation: Insights from a global passenger transport model coupled with a computable general equilibrium model," Applied Energy, Elsevier, vol. 211(C), pages 76-88.
    16. Liu, Yating & Chen, Bin, 2020. "Water-energy scarcity nexus risk in the national trade system based on multiregional input-output and network environ analyses," Applied Energy, Elsevier, vol. 268(C).
    17. Liu, J. & Nie, S. & Shan, B.G. & Li, Y.P. & Huang, G.H. & Liu, Z.P., 2019. "Development of an interval-credibility-chance constrained energy-water nexus system planning model—a case study of Xiamen, China," Energy, Elsevier, vol. 181(C), pages 677-693.
    18. Jean Chateau & Erwin Corong & Elisa Lanzi & Caitlyn Carrico & Jean Fouré & David Laborde, 2020. "Characterizing Supply-Side Drivers of Structural Change in the Construction of Economic Baseline Projections," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 109-161, June.
    19. Garcia, X. & Pargament, D., 2015. "Reusing wastewater to cope with water scarcity: Economic, social and environmental considerations for decision-making," Resources, Conservation & Recycling, Elsevier, vol. 101(C), pages 154-166.
    20. Wang, Shuhang & Wang, Xu & Fu, Zhenghui & Liu, Feng & Xu, Ye & Li, Wei, 2022. "A novel energy-water nexus based CHP operation optimization model under water shortage," Energy, Elsevier, vol. 239(PA).
    21. Bhattarai, Keshab & Benjasak, Chonlakan, 2021. "Growth and redistribution impacts of income taxes in the Thai Economy: A dynamic CGE analysis," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
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