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Does the incentive policy for renewable energy grid connection affect the technical efficiency of power grid companies? Empirical analysis based on China and Japan

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  • Li, Biao
  • Xie, Bai-Chen
  • Yu, Xiao-Chen
  • She, Zhen-Yu
  • Hu, Wenhao

Abstract

The widespread adoption of renewable energy sources, which are characterized by intermittency, uncertainty, and uneven geographical distribution, has significantly influenced power grid operating efficiency. This study employs the meta-frontier model to assess the impact of varying degrees of renewable energy development in China and Japan from 2008 to 2022 on the efficiency of 40 power grid companies. The research reveals that the rapid increase in renewable energy generation has posed significant challenges to grid management, leading to a decline in grid company technical efficiency. Despite implementing entirely different renewable energy incentive policies, both China and Japan have encountered a detrimental effect on the efficiency of their power grids. However, over time, the adverse impact of renewable energy on grid efficiency has shown signs of attenuation. This positive trend is partly attributable to measures such as enhanced infrastructure development and improved technical standards, which have effectively mitigated the negative effects of renewable energy integration on grid operations. Based on these findings, the study emphasizes the importance of bolstering grid infrastructure and fostering technological innovations to minimize the disruptive effects of renewable energy on grid efficiency.

Suggested Citation

  • Li, Biao & Xie, Bai-Chen & Yu, Xiao-Chen & She, Zhen-Yu & Hu, Wenhao, 2025. "Does the incentive policy for renewable energy grid connection affect the technical efficiency of power grid companies? Empirical analysis based on China and Japan," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 28-47.
    • Handle: RePEc:eee:ecanpo:v:85:y:2025:i:c:p:28-47
    DOI: 10.1016/j.eap.2024.11.020
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    as
    1. Tapia, Tomás & Lorca, Álvaro & Olivares, Daniel & Negrete-Pincetic, Matías & Lamadrid L, Alberto J., 2021. "A robust decision-support method based on optimization and simulation for wildfire resilience in highly renewable power systems," European Journal of Operational Research, Elsevier, vol. 294(2), pages 723-733.
    2. She, Zhen-Yu & Meng, Gang & Xie, Bai-Chen & O'Neill, Eoghan, 2020. "The effectiveness of the unbundling reform in China’s power system from a dynamic efficiency perspective," Applied Energy, Elsevier, vol. 264(C).
    3. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Tian, Zhen-Zhen & Yang, Xiao-Yuan & Wang, Jian-Lin, 2016. "Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS," Energy Economics, Elsevier, vol. 55(C), pages 272-283.
    4. Lee, Chi-Chuan & Lee, Chien-Chiang, 2024. "Not all are alike: Assessing the effect of geopolitical risk on regional renewable energy development in China," Renewable Energy, Elsevier, vol. 222(C).
    5. Anaya, Karim L. & Pollitt, Michael G., 2017. "Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1078-1094.
    6. Nepal, Rabindra & Paija, Nirash, 2019. "Energy security, electricity, population and economic growth: The case of a developing South Asian resource-rich economy," Energy Policy, Elsevier, vol. 132(C), pages 771-781.
    7. Liu, Jinqi & Wang, Jihong & Cardinal, Joel, 2022. "Evolution and reform of UK electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    8. Xu, Mengmeng & Tan, Ruipeng & He, Xinju, 2022. "How does economic agglomeration affect energy efficiency in China?: Evidence from endogenous stochastic frontier approach," Energy Economics, Elsevier, vol. 108(C).
    9. Zhang, Sufang & Andrews-Speed, Philip & Zhao, Xiaoli & He, Yongxiu, 2013. "Interactions between renewable energy policy and renewable energy industrial policy: A critical analysis of China's policy approach to renewable energies," Energy Policy, Elsevier, vol. 62(C), pages 342-353.
    10. Subal C. Kumbhakar & Ørjan Mydland & Andrew Musau & Gudbrand Lien, 2020. "Disentangling Costs of Persistent and Transient Technical Inefficiency and Input Misallocation: The Case of Norwegian Electricity Distribution Firms," The Energy Journal, , vol. 41(3), pages 143-160, May.
    11. Nepal, Rabindra & Jamasb, Tooraj, 2015. "Caught between theory and practice: Government, market, and regulatory failure in electricity sector reforms," Economic Analysis and Policy, Elsevier, vol. 46(C), pages 16-24.
    12. Rai, Alan & Nunn, Oliver, 2020. "On the impact of increasing penetration of variable renewables on electricity spot price extremes in Australia," Economic Analysis and Policy, Elsevier, vol. 67(C), pages 67-86.
    13. Lee, Chien-Chiang & Hussain, Jafar & Mu, Xian, 2024. "Renewable energy and carbon-neutral gaming: A holistic approach to sustainable electricity," Energy, Elsevier, vol. 297(C).
    14. Dong, Yanli & Shimada, Koji, 2017. "Evolution from the renewable portfolio standards to feed-in tariff for the deployment of renewable energy in Japan," Renewable Energy, Elsevier, vol. 107(C), pages 590-596.
    15. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    16. Oleg Badunenko & Astrid Cullmann & Subal C. Kumbhakar & Maria Nieswand, 2021. "The Effect of Restructuring Electricity Distribution Systems on Firms’ Persistent and Transient Efficiency: The Case of Germany," The Energy Journal, , vol. 42(4), pages 1-20, July.
    17. Marques, António Cardoso & Fuinhas, José Alberto & Pereira, Diogo Santos, 2019. "The dynamics of the short and long-run effects of public policies supporting renewable energy: A comparative study of installed capacity and electricity generation," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 188-206.
    18. Oleg Badunenko, Astrid Cullmann, Subal C. Kumbhakar, and Maria Nieswand, 2021. "The Effect of Restructuring Electricity Distribution Systems on Firms' Persistent and Transient Efficiency: The Case of Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    19. Xia, Hui & Dai, Ling & Sun, Liping & Chen, Xi & Li, Yuening & Zheng, Yihan & Peng, Yanlai & Wu, Kaiya, 2023. "Analysis of the spatiotemporal distribution pattern and driving factors of renewable energy power generation in China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 414-428.
    20. Toru Hattori & Tooraj Jamasb & Michael Pollitt, 2005. "Electricity Distribution in the UK and Japan: A Comparative Efficiency Analysis 1985-1998," The Energy Journal, , vol. 26(2), pages 23-47, April.
    21. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Lau, Sim-Yee, 2017. "Have regulatory reforms improved the efficiency levels of the Japanese electricity distribution sector? A cost metafrontier-based analysis," Energy Policy, Elsevier, vol. 108(C), pages 606-616.
    22. Nieswand, Maria & Seifert, Stefan, 2018. "Environmental factors in frontier estimation – A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 265(1), pages 133-148.
    23. 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.
    24. Growitsch, Christian & Jamasb, Tooraj & Wetzel, Heike, 2012. "Efficiency effects of observed and unobserved heterogeneity: Evidence from Norwegian electricity distribution networks," Energy Economics, Elsevier, vol. 34(2), pages 542-548.
    25. Wild, Phillip & Skoufa, Lucas & Spencer, Nancy, 2024. "Renewable hydrogen requirements and impacts for network balancing: A Queensland case study," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 452-469.
    26. Resende, Marcelo, 2002. "Relative efficiency measurement and prospects for yardstick competition in Brazilian electricity distribution," Energy Policy, Elsevier, vol. 30(8), pages 637-647, June.
    27. Toru Hattori, 2002. "Relative Performance of U.S. and Japanese Electricity Distribution: An Application of Stochastic Frontier Analysis," Journal of Productivity Analysis, Springer, vol. 18(3), pages 269-284, November.
    28. Javed, Muhammad Shahzad & Zhong, Dan & Ma, Tao & Song, Aotian & Ahmed, Salman, 2020. "Hybrid pumped hydro and battery storage for renewable energy based power supply system," Applied Energy, Elsevier, vol. 257(C).
    29. Hille, Erik & Althammer, Wilhelm & Diederich, Henning, 2020. "Environmental regulation and innovation in renewable energy technologies: Does the policy instrument matter?," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    30. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
    31. Sun, Kege & Wu, Libo, 2020. "Efficiency distortion of the power generation sector under the dual regulation of price and quantity in China," Energy Economics, Elsevier, vol. 86(C).
    32. Chen, Wei-Ming & Kim, Hana & Yamaguchi, Hideka, 2014. "Renewable energy in eastern Asia: Renewable energy policy review and comparative SWOT analysis for promoting renewable energy in Japan, South Korea, and Taiwan," Energy Policy, Elsevier, vol. 74(C), pages 319-329.
    33. Xie, Bai-Chen & Ni, Kang-Kang & O'Neill, Eoghan & Li, Hong-Zhou, 2021. "The scale effect in China's power grid sector from the perspective of malmquist total factor productivity analysis," Utilities Policy, Elsevier, vol. 69(C).
    34. Astrid Cullmann & Christian Hirschhausen, 2008. "Efficiency analysis of East European electricity distribution in transition: legacy of the past?," Journal of Productivity Analysis, Springer, vol. 29(2), pages 155-167, April.
    35. Xie, Bai-Chen & Zhang, Zhen-Jiang & Anaya, Karim L., 2021. "Has the unbundling reform improved the service efficiency of China's power grid firms?," Energy Economics, Elsevier, vol. 95(C).
    36. Tovar, Beatriz & Javier Ramos-Real, Francisco & de Almeida, Edmar Fagundes, 2011. "Firm size and productivity. Evidence from the electricity distribution industry in Brazil," Energy Policy, Elsevier, vol. 39(2), pages 826-833, February.
    37. Hameed, Zeenat & Hashemi, Seyedmostafa & Ipsen, Hans Henrik & Træholt, Chresten, 2021. "A business-oriented approach for battery energy storage placement in power systems," Applied Energy, Elsevier, vol. 298(C).
    38. Yang, Qi-Cheng & Zheng, Mingbo & Chang, Chun-Ping, 2022. "Energy policy and green innovation: A quantile investigation into renewable energy," Renewable Energy, Elsevier, vol. 189(C), pages 1166-1175.
    39. Lee, Chi-Chuan & Li, Yong-Yi, 2024. "Does environmental policy matter for renewable energy production and economic activity? Evidence from Granger causality in quantiles," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 225-237.
    40. Subal Kumbhakar & Roar Amundsveen & Hilde Kvile & Gudbrand Lien, 2015. "Scale economies, technical change and efficiency in Norwegian electricity distribution, 1998–2010," Journal of Productivity Analysis, Springer, vol. 43(3), pages 295-305, June.
    41. Hua, Yaping & Oliphant, Monica & Hu, Eric Jing, 2016. "Development of renewable energy in Australia and China: A comparison of policies and status," Renewable Energy, Elsevier, vol. 85(C), pages 1044-1051.
    42. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    43. Wen, Daoyuan & Gao, Weijun & Kuroki, Soichiro & Gu, Qunyin & Ren, Jianxing, 2021. "The effects of the new Feed-In Tariff Act for solar photovoltaic (PV) energy in the wake of the Fukushima accident in Japan," Energy Policy, Elsevier, vol. 156(C).
    44. Huang, Tai-Hsin & Chiang, Dien-Lin & Tsai, Chao-Min, 2015. "Applying the New Metafrontier Directional Distance Function to Compare Banking Efficiencies in Central and Eastern European Countries," Economic Modelling, Elsevier, vol. 44(C), pages 188-199.
    45. Jamasb, Tooraj & Pollitt, Michael, 2003. "International benchmarking and regulation: an application to European electricity distribution utilities," Energy Policy, Elsevier, vol. 31(15), pages 1609-1622, December.
    46. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    47. Zhang, Tao & Li, Hong-Zhou & Xie, Bai-Chen, 2022. "Have renewables and market-oriented reforms constrained the technical efficiency improvement of China's electric grid utilities?," Energy Economics, Elsevier, vol. 114(C).
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