IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i21p7328-d1269905.html
   My bibliography  Save this article

A Bi-Level Optimization Model for Inter-Provincial Energy Consumption Transfer Tax in China

Author

Listed:
  • Lijun Zeng

    (College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China)

  • Wencheng Zhang

    (College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China)

  • Muyi Yang

    (Australia-China Relations Institute, University of Technology Sydney, Sydney 2007, Australia)

Abstract

The serious energy crisis and environmental problems resulting from fossil energy excessive consumption have caused severe challenges to the control of energy consumption and intensity (dual controls) and the sustainable development of China’s economy and society. The current territorial management model (TMM) of energy consumption “dual control” needs urgent improvement. Therefore, this study proposes an inter-provincial energy consumption transfer tax model (ECTTM) based on the Stackelberg game and bi-level optimization theory. In this model, the central government is the leader at the upper-level, and provincial governments are the lower-level followers. An optimization algorithm based on NSGA-II was designed to solve this model to obtain the optimal transfer tax rate and provincial energy consumption. The ECTTM aims to maximize the socioeconomic benefits of energy consumption overall and in each province under the premise of achieving the dual control target. The model’s effectiveness and superiority were illustrated through an empirical study of electricity consumption in Shanghai, Zhejiang, Shaanxi, and Guizhou. Compared with the TMM, the socioeconomic benefits under the ECTTM increased by 14.67%, and the electricity consumption per unit of gross domestic product decreased by 12.8%. Policy suggestions on the ECTTM’s implementation are proposed to promote further improvements in dual controls.

Suggested Citation

  • Lijun Zeng & Wencheng Zhang & Muyi Yang, 2023. "A Bi-Level Optimization Model for Inter-Provincial Energy Consumption Transfer Tax in China," Energies, MDPI, vol. 16(21), pages 1-20, October.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7328-:d:1269905
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/21/7328/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/21/7328/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Severin Borenstein & James Bushnell & Frank A. Wolak & Matthew Zaragoza-Watkins, 2019. "Expecting the Unexpected: Emissions Uncertainty and Environmental Market Design," American Economic Review, American Economic Association, vol. 109(11), pages 3953-3977, November.
    2. Huang, Junbing & Lai, Yali & Wang, Yajun & Hao, Yu, 2020. "Energy-saving research and development activities and energy intensity in China: A regional comparison perspective," Energy, Elsevier, vol. 213(C).
    3. Zhao, Haoran & Guo, Sen & Zhao, Huiru, 2019. "Provincial energy efficiency of China quantified by three-stage data envelopment analysis," Energy, Elsevier, vol. 166(C), pages 96-107.
    4. Lijun Zeng & Laijun Zhao & Qin Wang & Bingcheng Wang & Yuan Ma & Wei Cui & Yujing Xie, 2018. "Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective," Energies, MDPI, vol. 11(1), pages 1-25, January.
    5. Florian Landis, Sebastian Rausch, Mirjam Kosch, and Christoph Böhringer, 2019. "Efficient and Equitable Policy Design: Taxing Energy Use or Promoting Energy Savings?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    6. Shahbaz, Muhammad & Zakaria, Muhammad & Shahzad, Syed Jawad Hussain & Mahalik, Mantu Kumar, 2018. "The energy consumption and economic growth nexus in top ten energy-consuming countries: Fresh evidence from using the quantile-on-quantile approach," Energy Economics, Elsevier, vol. 71(C), pages 282-301.
    7. Yang, Mian & Hou, Yaru & Fang, Chao & Duan, Hongbo, 2020. "Constructing energy-consuming right trading system for China's manufacturing industry in 2025," Energy Policy, Elsevier, vol. 144(C).
    8. Niu, Tong & Yao, Xilong & Shao, Shuai & Li, Ding & Wang, Wenxi, 2018. "Environmental tax shocks and carbon emissions: An estimated DSGE model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 9-17.
    9. Liu, Yu & Lu, Yingying, 2015. "The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis," Applied Energy, Elsevier, vol. 141(C), pages 96-105.
    10. Safarzadeh, Soroush & Hafezalkotob, Ashkan & Jafari, Hamed, 2022. "Energy supply chain empowerment through tradable green and white certificates: A pathway to sustainable energy generation," Applied Energy, Elsevier, vol. 323(C).
    11. Xu, Song & Fang, Lei & Govindan, Kannan, 2022. "Energy performance contracting in a supply chain with financially asymmetric manufacturers under carbon tax regulation for climate change mitigation," Omega, Elsevier, vol. 106(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    2. Xue, Jian & Guo, Na & Zhao, Laijun & Zhu, Di & Ji, Xiaoqin, 2020. "A cooperative inter-provincial model for energy conservation based on futures trading," Energy, Elsevier, vol. 212(C).
    3. Hu, Haisheng & Dong, Wanhao & Zhou, Qian, 2021. "A comparative study on the environmental and economic effects of a resource tax and carbon tax in China: Analysis based on the computable general equilibrium model," Energy Policy, Elsevier, vol. 156(C).
    4. Jia, Zhijie & Lin, Boqiang & Liu, Xiying, 2023. "Rethinking the equity and efficiency of carbon tax: A novel perspective," Applied Energy, Elsevier, vol. 346(C).
    5. Keppler, Jan Horst & Quemin, Simon & Saguan, Marcelo, 2022. "Why the sustainable provision of low-carbon electricity needs hybrid markets," Energy Policy, Elsevier, vol. 171(C).
    6. Zhang, Hao & Cai, Guixin & Yang, Dongxiao, 2020. "The impact of oil price shocks on clean energy stocks: Fresh evidence from multi-scale perspective," Energy, Elsevier, vol. 196(C).
    7. Ren Wang & Yuxiang Bian & Han Gao & Jie Hou, 2023. "Optimal Environmental Policy for Heterogeneous Governments in China," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
    8. Chan, Ying Tung & Zhao, Hong, 2023. "Optimal carbon tax rates in a dynamic stochastic general equilibrium model with a supply chain," Economic Modelling, Elsevier, vol. 119(C).
    9. Quemin, Simon & Trotignon, Raphaël, 2021. "Emissions trading with rolling horizons," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    10. Ghosh, Sourav & Yadav, Sarita & Devi, Ambika & Thomas, Tiju, 2022. "Techno-economic understanding of Indian energy-storage market: A perspective on green materials-based supercapacitor technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    11. Xin Su & Frédéric Ghersi & Fei Teng & Gaëlle Le Treut & Meicong Liang, 2022. "The economic impact of a deep decarbonisation pathway for China: a hybrid model analysis through bottom-up and top-down linking," Post-Print hal-03897206, HAL.
    12. Chen, Zi-yue & Nie, Pu-yan, 2016. "Effects of carbon tax on social welfare: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1607-1615.
    13. Magazzino, Cosimo & Drago, Carlo & Schneider, Nicolas, 2023. "Evidence of supply security and sustainability challenges in Nigeria’s power sector," Utilities Policy, Elsevier, vol. 82(C).
    14. Sheilla Nyasha & Yvonne Gwenhure & Nicholas M Odhiambo, 2018. "Energy consumption and economic growth in Ethiopia: A dynamic causal linkage," Energy & Environment, , vol. 29(8), pages 1393-1412, December.
    15. Jin, Taeyoung, 2022. "Impact of heat and electricity consumption on energy intensity: A panel data analysis," Energy, Elsevier, vol. 239(PA).
    16. Liping Liao & Chukun Huang & Minzhe Du, 2022. "The Effect of Energy Quota Trading on Energy Saving in China: Insight from a Quasi-Natural Experiment," Energies, MDPI, vol. 15(22), pages 1-17, November.
    17. Reema Gh. Alajmi, 2024. "Total-Factor Energy Efficiency (TFEE) and CO 2 Emissions for GCC Countries," Sustainability, MDPI, vol. 16(2), pages 1-14, January.
    18. Hänsel, Martin C. & Franks, Max & Kalkuhl, Matthias & Edenhofer, Ottmar, 2022. "Optimal carbon taxation and horizontal equity: A welfare-theoretic approach with application to German household data," Journal of Environmental Economics and Management, Elsevier, vol. 116(C).
    19. Francesco Busato & Bruno Chiarini & Gianluigi Cisco & Maria Ferrara, 2023. "Green preferences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3211-3253, April.
    20. Wang, Xipan & Song, Junnian & Xing, Jiahao & Duan, Haiyan & Wang, Xian'en, 2022. "System nexus consolidates coupling of regional water and energy efficiencies," Energy, Elsevier, vol. 256(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7328-:d:1269905. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.