IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v174y2023ics0301421523000460.html
   My bibliography  Save this article

Can renewable energy portfolio standards and carbon tax policies promote carbon emission reduction in China's power industry?

Author

Listed:
  • Meng, Xin
  • Yu, Yanni

Abstract

The carbon emissions of the power industry in China rank the highest among all industries. There is an urgent need to explore the development path of the power industry under carbon peaking and carbon neutrality. Renewable portfolio standards (RPS) and carbon tax policy are effective policy instruments for realizing the low-carbon transition in the power industry. When both RPS and carbon tax policy are implemented, can they drive carbon reduction in the power industry? This paper constructs an electricity market equilibrium model and a system dynamics (SD) model to analyse the impact of multiple policies in electricity markets to address this question. There were several important results. (1) The increase in quota ratio and carbon tax price negatively impacts the generation of thermal power firms, which raises their willingness to invest in renewable energy. (2) The intensity of emissions reduction has a significant influence on the effectiveness of emissions reduction. The greater the emissions reduction intensity, the better the carbon emissions reduction effect, but the power supply declines. (3) Under multiple policies, green power firms choose cost padding to achieve profit maximization goals, which reduces green power generation and leads to market inefficiency.

Suggested Citation

  • Meng, Xin & Yu, Yanni, 2023. "Can renewable energy portfolio standards and carbon tax policies promote carbon emission reduction in China's power industry?," Energy Policy, Elsevier, vol. 174(C).
  • Handle: RePEc:eee:enepol:v:174:y:2023:i:c:s0301421523000460
    DOI: 10.1016/j.enpol.2023.113461
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421523000460
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2023.113461?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sanya Carley & Lincoln L. Davies & David B. Spence & Nikolaos Zirogiannis, 2019. "Author Correction: Empirical evaluation of the stringency and design of renewable portfolio standards," Nature Energy, Nature, vol. 4(2), pages 167-168, February.
    2. Currier, Kevin M., 2016. "Incentives for cost reduction and cost padding in electricity markets with overlapping “green” regulations," Utilities Policy, Elsevier, vol. 38(C), pages 72-75.
    3. Unger, Thomas & Ahlgren, Erik O., 2005. "Impacts of a common green certificate market on electricity and CO2-emission markets in the Nordic countries," Energy Policy, Elsevier, vol. 33(16), pages 2152-2163, November.
    4. David M. Newbery, 1998. "Competition, Contracts, and Entry in the Electricity Spot Market," RAND Journal of Economics, The RAND Corporation, vol. 29(4), pages 726-749, Winter.
    5. Cao, Jing & Dai, Hancheng & Li, Shantong & Guo, Chaoyi & Ho, Mun & Cai, Wenjia & He, Jianwu & Huang, Hai & Li, Jifeng & Liu, Yu & Qian, Haoqi & Wang, Can & Wu, Libo & Zhang, Xiliang, 2021. "The general equilibrium impacts of carbon tax policy in China: A multi-model comparison," Energy Economics, Elsevier, vol. 99(C).
    6. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    7. Inzunza, Andrés & Muñoz, Francisco D. & Moreno, Rodrigo, 2021. "Measuring the effects of environmental policies on electricity markets risk," Energy Economics, Elsevier, vol. 102(C).
    8. Ming, Zeng & Kun, Zhang & Jun, Dong, 2013. "Overall review of China's wind power industry: Status quo, existing problems and perspective for future development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 379-386.
    9. Guo, Xiaodan & Guo, Xiaopeng, 2015. "China's photovoltaic power development under policy incentives: A system dynamics analysis," Energy, Elsevier, vol. 93(P1), pages 589-598.
    10. An, Yunfei & Zhou, Dequn & Wang, Qunwei & Shi, Xunpeng & Taghizadeh-Hesary, Farhad, 2022. "Mitigating size bias for carbon pricing in small Asia-Pacific countries: Increasing block carbon tax," Energy Policy, Elsevier, vol. 161(C).
    11. Zhu, Zhi-Shuang & Liao, Hua & Cao, Huai-Shu & Wang, Lu & Wei, Yi-Ming & Yan, Jinyue, 2014. "The differences of carbon intensity reduction rate across 89 countries in recent three decades," Applied Energy, Elsevier, vol. 113(C), pages 808-815.
    12. Song, Xiao-hua & Han, Jing-jing & Zhang, Lu & Zhao, Cai-ping & Wang, Peng & Liu, Xiao-yan & Li, Qiao-chu, 2021. "Impacts of renewable portfolio standards on multi-market coupling trading of renewable energy in China: A scenario-based system dynamics model," Energy Policy, Elsevier, vol. 159(C).
    13. Yuzhuo Zhang & Xingang Zhao & Yi Zuo & Lingzhi Ren & Ling Wang, 2017. "The Development of the Renewable Energy Power Industry under Feed-In Tariff and Renewable Portfolio Standard: A Case Study of China’s Photovoltaic Power Industry," Sustainability, MDPI, vol. 9(4), pages 1-23, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hua Pan & Huimin Zhu & Minmin Teng, 2023. "Low-Carbon Transformation Strategy for Blockchain-Based Power Supply Chain," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    2. Hussain, Jafar & Lee, Chien-Chiang & Hu, Danting, 2023. "Maximizing load capacity factor through a carbon-neutral environment via a simulation of carbon peak," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 746-764.

    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. Ying, Zhou & Xin-gang, Zhao & Zhen, Wang, 2020. "Demand side incentive under renewable portfolio standards: A system dynamics analysis," Energy Policy, Elsevier, vol. 144(C).
    2. Libo Zhang & Qian Du & Dequn Zhou, 2021. "Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties," Energies, MDPI, vol. 14(7), pages 1-19, March.
    3. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    4. Eising, Jan Willem & van Onna, Tom & Alkemade, Floortje, 2014. "Towards smart grids: Identifying the risks that arise from the integration of energy and transport supply chains," Applied Energy, Elsevier, vol. 123(C), pages 448-455.
    5. Yang, Ranran & Long, Ruyin & Yue, Ting & Shi, Haihong, 2014. "Calculation of embodied energy in Sino-USA trade: 1997–2011," Energy Policy, Elsevier, vol. 72(C), pages 110-119.
    6. Shu-Hong Wang & Ma-Lin Song & Tao Yu, 2019. "Hidden Carbon Emissions, Industrial Clusters, and Structure Optimization in China," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1319-1342, December.
    7. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    8. Zhao, Xueting & Wesley Burnett, J. & Lacombe, Donald J., 2015. "Province-level convergence of China’s carbon dioxide emissions," Applied Energy, Elsevier, vol. 150(C), pages 286-295.
    9. Li, Jin & Wang, Rui & Li, Haoran & Nie, Yaoyu & Song, Xinke & Li, Mingyu & Shi, Mai & Zheng, Xinzhu & Cai, Wenjia & Wang, Can, 2021. "Unit-level cost-benefit analysis for coal power plants retrofitted with biomass co-firing at a national level by combined GIS and life cycle assessment," Applied Energy, Elsevier, vol. 285(C).
    10. Qianyu Zhao & Boyu Xie & Mengyao Han, 2023. "Unpacking the Sub-Regional Spatial Network of Land-Use Carbon Emissions: The Case of Sichuan Province in China," Land, MDPI, vol. 12(10), pages 1-22, October.
    11. Guangfang Luo & Jianjun Zhang & Yongheng Rao & Xiaolei Zhu & Yiqiang Guo, 2017. "Coal Supply Chains: A Whole-Process-Based Measurement of Carbon Emissions in a Mining City of China," Energies, MDPI, vol. 10(11), pages 1-18, November.
    12. Wang, Ke & Zhang, Jianjun & Cai, Bofeng & Yu, Shengmin, 2019. "Emission factors of fugitive methane from underground coal mines in China: Estimation and uncertainty," Applied Energy, Elsevier, vol. 250(C), pages 273-282.
    13. Shaikh, Mohammad A. & Kucukvar, Murat & Onat, Nuri Cihat & Kirkil, Gokhan, 2017. "A framework for water and carbon footprint analysis of national electricity production scenarios," Energy, Elsevier, vol. 139(C), pages 406-421.
    14. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    15. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    16. Yang, Qing & Zhang, Lei & Zou, Shaohui & Zhang, Jinsuo, 2020. "Intertemporal optimization of the coal production capacity in China in terms of uncertain demand, economy, environment, and energy security," Energy Policy, Elsevier, vol. 139(C).
    17. Yu Sang Chang & Dosoung Choi & Hann Earl Kim, 2017. "Dynamic Trends of Carbon Intensities among 127 Countries," Sustainability, MDPI, vol. 9(12), pages 1-21, December.
    18. Gong, Chengzhu & Yu, Shiwei & Zhu, Kejun & Hailu, Atakelty, 2016. "Evaluating the influence of increasing block tariffs in residential gas sector using agent-based computational economics," Energy Policy, Elsevier, vol. 92(C), pages 334-347.
    19. Chen, Jiandong & Gao, Ming & Mangla, Sachin Kumar & Song, Malin & Wen, Jie, 2020. "Effects of technological changes on China's carbon emissions," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    20. Hanak, Dawid P. & Kolios, Athanasios J. & Manovic, Vasilije, 2016. "Comparison of probabilistic performance of calcium looping and chemical solvent scrubbing retrofits for CO2 capture from coal-fired power plant," Applied Energy, Elsevier, vol. 172(C), pages 323-336.

    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:eee:enepol:v:174:y:2023:i:c:s0301421523000460. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.