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Can China achieve carbon neutrality without power shortage? A substitutability perspective

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  • Zhao, Yu
  • Zhong, Honglin
  • Kong, Fanbin
  • Zhang, Ning

Abstract

The thermal power sector is responsible for more than 40% of China's carbon mitigation targets, making it critical in achieving carbon neutrality. However, the adoption of the “one-size-fits-all” discontinuation and “campaign-style” mitigation, driven by mandatory national regulatory constraints, has triggered pressing livelihoods and economic shocks such as electricity restrictions and shortages. To balance the carbon mitigation targets with electricity security in China, this study utilizes Morishima elasticity of substitution to identify heterogeneous production strategies for each plant under carbon neutrality. More specifically, how thermal power plants respond to carbon reduction targets. Results indicate that almost half of the thermal power plants could reconcile national targets with corporate profits, while the remaining plants could only meet national binding targets by reducing production. Additionally, about 20% of inefficient plants will opt to transfer emissions, such as increasing weakly regulated emissions, to secure revenue. The basic characteristics of thermal power plants under different production strategies are also analyzed. Finally, this study discusses how to develop electricity-carbon synergies and prevent productive speculation under the carbon neutrality transition from the perspectives of corporate production and tax deferment policy, and propose corresponding policy suggestions.

Suggested Citation

  • Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
  • Handle: RePEc:eee:rensus:v:182:y:2023:i:c:s1364032123002599
    DOI: 10.1016/j.rser.2023.113402
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    as
    1. Michael Greenstone & Rema Hanna, 2014. "Environmental Regulations, Air and Water Pollution, and Infant Mortality in India," American Economic Review, American Economic Association, vol. 104(10), pages 3038-3072, October.
    2. Lee, Myunghun, 2008. "Environmental regulation and production structure for the Korean iron and steel industry," Resource and Energy Economics, Elsevier, vol. 30(1), pages 1-11, January.
    3. Wang, Ke & Zhang, Xian & Yu, Xueying & Wei, Yi-Ming & Wang, Bin, 2016. "Emissions trading and abatement cost savings: An estimation of China's thermal power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1005-1017.
    4. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    5. Matsushita, Kyohei & Yamane, Fumihiro, 2012. "Pollution from the electric power sector in Japan and efficient pollution reduction," Energy Economics, Elsevier, vol. 34(4), pages 1124-1130.
    6. Cui, Jingbo & Wang, Chunhua & Zhang, Junjie & Zheng, Yang, 2021. "The effectiveness of China’s regional carbon market pilots in reducing firm emissions," LSE Research Online Documents on Economics 113492, London School of Economics and Political Science, LSE Library.
    7. Rolf Färe & Carlos Martins-Filho & Michael Vardanyan, 2010. "On functional form representation of multi-output production technologies," Journal of Productivity Analysis, Springer, vol. 33(2), pages 81-96, April.
    8. Cliff Huang & Tai-Hsin Huang & Nan-Hung Liu, 2014. "A new approach to estimating the metafrontier production function based on a stochastic frontier framework," Journal of Productivity Analysis, Springer, vol. 42(3), pages 241-254, December.
    9. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    10. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation," Energy Economics, Elsevier, vol. 33(2), pages 292-303, March.
    11. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    12. Lee, Myunghun, 2002. "The effect of sulfur regulations on the U.S. electric power industry: a generalized cost approach," Energy Economics, Elsevier, vol. 24(5), pages 491-508, September.
    13. Rolf Färe & Shawna Grosskopf & Carl A. Pasurka & William L. Weber, 2012. "Substitutability among undesirable outputs," Applied Economics, Taylor & Francis Journals, vol. 44(1), pages 39-47, January.
    14. Karney, Daniel H., 2016. "General equilibrium models with Morishima elasticities of substitution in production," Economic Modelling, Elsevier, vol. 53(C), pages 266-277.
    15. Wei, Xiao & Zhang, Ning, 2020. "The shadow prices of CO2 and SO2 for Chinese Coal-fired Power Plants: A partial frontier approach," Energy Economics, Elsevier, vol. 85(C).
    16. Smith, L. Vanessa & Tarui, Nori & Yamagata, Takashi, 2021. "Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions," Energy Economics, Elsevier, vol. 97(C).
    17. Gollop, Frank M & Roberts, Mark J, 1983. "Environmental Regulations and Productivity Growth: The Case of Fossil-Fueled Electric Power Generation," Journal of Political Economy, University of Chicago Press, vol. 91(4), pages 654-674, August.
    18. Färe, Rolf & Pasurka, Carl & Vardanyan, Michael, 2017. "On endogenizing direction vectors in parametric directional distance function-based models," European Journal of Operational Research, Elsevier, vol. 262(1), pages 361-369.
    19. Atkinson, Scott E & Halvorsen, Robert, 1984. "Parametric Efficiency Tests, Economies of Scale, and Input Demand in U.S. Electric Power Generation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 647-662, October.
    20. Badau, Flavius & Färe, Rolf & Gopinath, Munisamy, 2016. "Global resilience to climate change: Examining global economic and environmental performance resulting from a global carbon dioxide market," Resource and Energy Economics, Elsevier, vol. 45(C), pages 46-64.
    21. Zha, Donglan & Ding, Ning, 2014. "Elasticities of substitution between energy and non-energy inputs in China power sector," Economic Modelling, Elsevier, vol. 38(C), pages 564-571.
    22. Gong, Binlei, 2020. "Agricultural productivity convergence in China," China Economic Review, Elsevier, vol. 60(C).
    23. Lee, Myunghun, 2007. "The effect of environmental regulations: a restricted cost function for Korean manufacturing industries," Environment and Development Economics, Cambridge University Press, vol. 12(1), pages 91-104, February.
    24. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    25. Zhou, Yuekuan, 2022. "Transition towards carbon-neutral districts based on storage techniques and spatiotemporal energy sharing with electrification and hydrogenation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    26. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    27. Zhang, Ning & Huang, Xuhui & Liu, Yunxiao, 2021. "The cost of low-carbon transition for China's coal-fired power plants: A quantile frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    28. Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Zhang, Xu & Liu, Junyao, 2023. "A review on integration of surging plug-in electric vehicles charging in energy-flexible buildings: Impacts analysis, collaborative management technologies, and future perspective," Applied Energy, Elsevier, vol. 331(C).
    29. Pandey, Gaurav & Poothia, Tejaswa & Kumar, Asheesh, 2022. "Hydrate based carbon capture and sequestration (HBCCS): An innovative approach towards decarbonization," Applied Energy, Elsevier, vol. 326(C).
    30. Vardanyan, Michael & Valdmanis, Vivian G. & Leleu, Hervé & Ferrier, Gary D., 2022. "Estimating technology characteristics of the U.S. hospital industry using directional distance functions with optimal directions," Omega, Elsevier, vol. 113(C).
    31. Grosskopf, S. & Hayes, K. & Hirschberg, J., 1995. "Fiscal stress and the production of public safety: A distance function approach," Journal of Public Economics, Elsevier, vol. 57(2), pages 277-296, June.
    32. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    33. Fare, Rolf, et al, 1993. "Derivation of Shadow Prices for Undesirable Outputs: A Distance Function Approach," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 374-380, May.
    34. Zhu, Xufeng & Zhang, Chao, 2012. "Reducing information asymmetry in the power industry: Mandatory and voluntary information disclosure regulations of sulfur dioxide emission," Energy Policy, Elsevier, vol. 45(C), pages 704-713.
    35. Halvorsen, Robert & Smith, Tim R, 1986. "Substitution Possibilities for Unpriced Natural Resources: Restricted Cost Functions for the Canadian Metal Mining Industry," The Review of Economics and Statistics, MIT Press, vol. 68(3), pages 398-405, August.
    36. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    37. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    38. Du, Minzhe & Liu, Yunxiao & Wang, Bing & Lee, Myunghun & Zhang, Ning, 2021. "The sources of regulated productivity in Chinese power plants: An estimation of the restricted cost function combined with DEA approach," Energy Economics, Elsevier, vol. 100(C).
    39. Du, Limin & Hanley, Aoife & Zhang, Ning, 2016. "Environmental technical efficiency, technology gap and shadow price of coal-fuelled power plants in China: A parametric meta-frontier analysis," Resource and Energy Economics, Elsevier, vol. 43(C), pages 14-32.
    40. Du, Limin & Mao, Jie, 2015. "Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China," Energy Policy, Elsevier, vol. 85(C), pages 347-356.
    41. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    42. Li, Jianglong & Ho, Mun Sing & Xie, Chunping & Stern, Nicholas, 2022. "China's flexibility challenge in achieving carbon neutrality by 2060," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    43. Wang, Q.W. & Zhou, P. & Shen, N. & Wang, S.S., 2013. "Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 324-330.
    44. Kuosmanen, Timo & Johnson, Andrew, 2017. "Modeling joint production of multiple outputs in StoNED: Directional distance function approach," European Journal of Operational Research, Elsevier, vol. 262(2), pages 792-801.
    45. Shihe Fu & V Brian Viard & Peng Zhang, 2021. "Air Pollution and Manufacturing Firm Productivity: Nationwide Estimates for China [Management and shocks to worker productivity]," The Economic Journal, Royal Economic Society, vol. 131(640), pages 3241-3273.
    46. Zhou, P. & Zhou, X. & Fan, L.W., 2014. "On estimating shadow prices of undesirable outputs with efficiency models: A literature review," Applied Energy, Elsevier, vol. 130(C), pages 799-806.
    47. Burki, Abid A. & Khan, Mahmood-ul-Hasan, 2004. "Effects of allocative inefficiency on resource allocation and energy substitution in Pakistan's manufacturing," Energy Economics, Elsevier, vol. 26(3), pages 371-388, May.
    48. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
    49. Robert Halvorsen & Tim R. Smith, 1991. "A Test of the Theory of Exhaustible Resources," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(1), pages 123-140.
    50. Zhang, Ning & Huang, Xuhui & Qi, Chao, 2022. "The effect of environmental regulation on the marginal abatement cost of industrial firms: Evidence from the 11th Five-Year Plan in China," Energy Economics, Elsevier, vol. 112(C).
    51. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
    52. Xiao, Jucheng & He, Guangyu & Fan, Shuai & Li, Zuyi, 2022. "Substitute energy price market mechanism for renewable energy power system with generalized energy storage," Applied Energy, Elsevier, vol. 328(C).
    53. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    54. Kim, Jihyo & Heo, Eunnyeong, 2013. "Asymmetric substitutability between energy and capital: Evidence from the manufacturing sectors in 10 OECD countries," Energy Economics, Elsevier, vol. 40(C), pages 81-89.
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