IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v111y2022ics0140988322002067.html
   My bibliography  Save this article

The robustness of low-carbon policies during China’s electricity reform

Author

Listed:
  • Zhang, Yaoyu
  • Wu, Chenye
  • Gu, Nan
  • Yu, Yang

Abstract

The progress in decarbonization that China has made coincides with its market liberalization process. However, whether the implemented and planned low-carbon policies designed before the reform will lose their effectiveness after the reform has not been analyzed. In this research, we introduce a new dimension of policy assessment into the discussion about low-carbon policies, namely, policy robustness during an economic transition. Here, robustness is used to assess whether a low-carbon policy can maintain its functions and effectiveness during a market reform. We develop a framework and the associated metrics for policy robustness analysis. We apply our framework to analyze China’s fuel efficiency improvement project (FEIP) and compare the FEIP with the pricing-carbon policy (PCP) in two provinces, Guangdong and Fujian. The analysis shows that both the FEIP and PCP will lose some of their effectiveness during the market reform. However, implementing the PCP is more robust than implementing the FEIP because the PCP is able to promote the fuel efficiency improvement of cost-competitive coal-fired generators, whose market share will expand after the reform. The FEIP is particularly nonrobust in Fujian because of the distribution of the coal heat rates of Fujian’s power plants. We further conclude that overinvestment in generation capacity leads to less robustness of both the FEIP and PCP during the reform. There has already been overinvestment in China’s power generation capacity, but the current fuel efficiency policies can be seriously nonrobust and cause significant efficiency losses during electricity reform.

Suggested Citation

  • Zhang, Yaoyu & Wu, Chenye & Gu, Nan & Yu, Yang, 2022. "The robustness of low-carbon policies during China’s electricity reform," Energy Economics, Elsevier, vol. 111(C).
  • Handle: RePEc:eee:eneeco:v:111:y:2022:i:c:s0140988322002067
    DOI: 10.1016/j.eneco.2022.106037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988322002067
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2022.106037?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. Thomas P. Lyon & Haitao Yin, 2010. "Why Do States Adopt Renewable Portfolio Standards?: An Empirical Investigation," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 133-158.
    2. Lei Zhu, Xu Wang, and Dayong Zhang, 2020. "Identifying Strategic Traders in China's Pilot Carbon Emissions Trading Scheme," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 123-142.
    3. Stefano Carattini & Steffen Kallbekken & Anton Orlov, 2019. "How to win public support for a global carbon tax," Nature, Nature, vol. 565(7739), pages 289-291, January.
    4. Koichiro Ito, 2014. "Do Consumers Respond to Marginal or Average Price? Evidence from Nonlinear Electricity Pricing," American Economic Review, American Economic Association, vol. 104(2), pages 537-563, February.
    5. Jieting Yin & Qingyou Yan & Kaijie Lei & Tomas Baležentis & Dalia Streimikiene, 2019. "Economic and Efficiency Analysis of China Electricity Market Reform Using Computable General Equilibrium Model," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    6. Chen, Qixin & Kang, Chongqing & Xia, Qing & Guan, Dabo, 2011. "Preliminary exploration on low-carbon technology roadmap of China’s power sector," Energy, Elsevier, vol. 36(3), pages 1500-1512.
    7. Austin, David & Dinan, Terry, 2005. "Clearing the air: The costs and consequences of higher CAFE standards and increased gasoline taxes," Journal of Environmental Economics and Management, Elsevier, vol. 50(3), pages 562-582, November.
    8. Timothy Cogley & Riccardo Colacito & Lars Peter Hansen & Thomas J. Sargent, 2008. "Robustness and U.S. Monetary Policy Experimentation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1599-1623, December.
    9. Giliberto Capano & Jun Jie Woo, 2017. "Resilience and robustness in policy design: a critical appraisal," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(3), pages 399-426, September.
    10. Wu, Haitao & Hao, Yu & Ren, Siyu, 2020. "How do environmental regulation and environmental decentralization affect green total factor energy efficiency: Evidence from China," Energy Economics, Elsevier, vol. 91(C).
    11. Xin-gang, Zhao & Shu-ran, Hu, 2020. "Does market-based electricity price affect China's energy efficiency?," Energy Economics, Elsevier, vol. 91(C).
    12. Wang, Yijiang & Chang, Chun, 1998. "Economic transition under a semifederalist government: The experience of China," China Economic Review, Elsevier, vol. 9(1), pages 1-23.
    13. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2019. "Coordination of policy goals between renewable portfolio standards and carbon caps: A quantitative assessment in China," Applied Energy, Elsevier, vol. 237(C), pages 25-35.
    14. Willenbockel, Dirk, 2004. "Specification choice and robustness in CGE trade policy analysis with imperfect competition," Economic Modelling, Elsevier, vol. 21(6), pages 1065-1099, December.
    15. Hermeling, Claudia & Löschel, Andreas & Mennel, Tim, 2013. "A new robustness analysis for climate policy evaluations: A CGE application for the EU 2020 targets," Energy Policy, Elsevier, vol. 55(C), pages 27-35.
    16. Antimiani, Alessandro & Costantini, Valeria & Paglialunga, Elena, 2015. "The sensitivity of climate-economy CGE models to energy-related elasticity parameters: Implications for climate policy design," Economic Modelling, Elsevier, vol. 51(C), pages 38-52.
    17. Lin, Jiang & Kahrl, Fredrich & Yuan, Jiahai & Liu, Xu & Zhang, Weirong, 2019. "Challenges and strategies for electricity market transition in China," Energy Policy, Elsevier, vol. 133(C).
    18. Cui, Lianbiao & Li, Rongjing & Song, Malin & Zhu, Lei, 2019. "Can China achieve its 2030 energy development targets by fulfilling carbon intensity reduction commitments?," Energy Economics, Elsevier, vol. 83(C), pages 61-73.
    19. van der Ploeg, Frederick, 2016. "Second-best carbon taxation in the global economy: The Green Paradox and carbon leakage revisited," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 85-105.
    20. Kroeze, Carolien & Vlasblom, Jaklien & Gupta, Joyeeta & Boudri, Christiaan & Blok, Kornelis, 2004. "The power sector in China and India: greenhouse gas emissions reduction potential and scenarios for 1990-2020," Energy Policy, Elsevier, vol. 32(1), pages 55-76, January.
    21. Francisco D. Munoz, Sonja Wogrin, Shmuel S. Oren, and Benjamin F. Hobbs, 2018. "Economic Inefficiencies of Cost-based Electricity Market Designs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    22. Jia, Zhijie & Lin, Boqiang, 2020. "Rethinking the choice of carbon tax and carbon trading in China," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    23. Parry, Ian W. H. & Williams III, Roberton C., 1999. "A second-best evaluation of eight policy instruments to reduce carbon emissions," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 347-373, August.
    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. Janel Jett & Leigh Raymond, 2021. "Issue Framing and U.S. State Energy and Climate Policy Choice," Review of Policy Research, Policy Studies Organization, vol. 38(3), pages 278-299, May.
    2. Mireille Chiroleu-Assouline, 2022. "Rendre acceptable la nécessaire taxation du carbone. Quelles pistes pour la France ?," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(1), pages 15-53.
    3. González-Eguino, Mikel, 2011. "The importance of the design of market-based instruments for CO2 mitigation: An AGE analysis for Spain," Ecological Economics, Elsevier, vol. 70(12), pages 2292-2302.
    4. Jared C. Carbone & Linda T.M. Bui & Don Fullerton & Sergey Paltsev & Ian Sue Wing, 2022. "When and How to Use Economy-Wide Models for Environmental Policy Analysis," Annual Review of Resource Economics, Annual Reviews, vol. 14(1), pages 447-465, October.
    5. Allcott, Hunt & Mullainathan, Sendhil & Taubinsky, Dmitry, 2014. "Energy policy with externalities and internalities," Journal of Public Economics, Elsevier, vol. 112(C), pages 72-88.
    6. Wang, Ge & Zhang, Qi & Su, Bin & Shen, Bo & Li, Yan & Li, Zhengjun, 2021. "Coordination of tradable carbon emission permits market and renewable electricity certificates market in China," Energy Economics, Elsevier, vol. 93(C).
    7. Tianyu Luo & Hongmin Chen, 2023. "A Comparative Analysis of Separate and Joint Environmental Rights Trading Markets in China," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    8. Liangjun Yi & Wei Zhang & Yuanxin Liu & Weilin Zhang, 2021. "An Analysis of the Impact of Market Segmentation on Energy Efficiency: A Spatial Econometric Model Applied in China," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    9. Fouquet, Roger & O'Garra, Tanya, 2022. "In pursuit of progressive and effective climate policies: Comparing an air travel carbon tax and a frequent flyer levy," Energy Policy, Elsevier, vol. 171(C).
    10. Corradini, Massimiliano & Costantini, Valeria & Markandya, Anil & Paglialunga, Elena & Sforna, Giorgia, 2018. "A dynamic assessment of instrument interaction and timing alternatives in the EU low-carbon policy mix design," Energy Policy, Elsevier, vol. 120(C), pages 73-84.
    11. Guo, Hongye & Davidson, Michael R. & Chen, Qixin & Zhang, Da & Jiang, Nan & Xia, Qing & Kang, Chongqing & Zhang, Xiliang, 2020. "Power market reform in China: Motivations, progress, and recommendations," Energy Policy, Elsevier, vol. 145(C).
    12. Ying, Zhou & Xin-gang, Zhao & Lei, Xu, 2022. "Supply side incentive under the Renewable Portfolio Standards: A perspective of China," Renewable Energy, Elsevier, vol. 193(C), pages 505-518.
    13. Bergen, Matías & Muñoz, Francisco D., 2018. "Quantifying the effects of uncertain climate and environmental policies on investments and carbon emissions: A case study of Chile," Energy Economics, Elsevier, vol. 75(C), pages 261-273.
    14. Ma, Guangcheng & Cao, Jianhua & Famanta, Mahamane, 2023. "Does the coordinated development of two-way FDI increase the green energy efficiency of Chinese cities? Evidence from Chinese listed companies," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 59-77.
    15. Jia, Zhijie & Wen, Shiyan & Sun, Zao, 2022. "Current relationship between coal consumption and the economic development and China's future carbon mitigation policies," Energy Policy, Elsevier, vol. 162(C).
    16. Sirin, Selahattin Murat & Camadan, Ercument & Erten, Ibrahim Etem & Zhang, Alex Hongliang, 2023. "Market failure or politics? Understanding the motives behind regulatory actions to address surging electricity prices," Energy Policy, Elsevier, vol. 180(C).
    17. Hou, Xiang & Hu, Qianlin & Liang, Xin & Xu, Jingxuan, 2023. "How do low-carbon city pilots affect carbon emissions? Staggered difference in difference evidence from Chinese firms," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 664-686.
    18. Benigno, Pierpaolo & Paciello, Luigi, 2014. "Monetary policy, doubts and asset prices," Journal of Monetary Economics, Elsevier, vol. 64(C), pages 85-98.
    19. Liu, Duan & Yu, Nizhou & Wan, Hong, 2022. "Does water rights trading affect corporate investment? The role of resource allocation and risk mitigation channels," Economic Modelling, Elsevier, vol. 117(C).
    20. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).

    More about this item

    Keywords

    Policy robustness; Electricity market reform; Pricing carbon policy; Fuel efficiency improvement project;
    All these keywords.

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

    Statistics

    Access and download statistics

    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:eneeco:v:111:y:2022:i:c:s0140988322002067. 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/eneco .

    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.