IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v187y2024ics0301421524000661.html
   My bibliography  Save this article

Impact of government subsidies on total factor productivity of energy storage enterprises under dual-carbon targets

Author

Listed:
  • Lin, Boqiang
  • Zhang, Aoxiang

Abstract

Government subsidies are an important means to guide the development of the energy storage industry. As countries around the world are increasing government subsidies to energy storage enterprises (ESEs), how to effectively utilize these subsidies has become a focus of attention. Based on panel data of Chinese 101 energy storage enterprises from 2007 to 2022, this paper examines the effectiveness of government subsidies in the energy storage industry from the perspective of total factor productivity (TFP). The results unveil that government subsidies significantly increase the TFP of ESEs. The positive impact of government subsidies on TFP exhibits a “cherry on top” characteristic, implying that the higher the ESEs’ current TFP, the stronger promoting effect of government subsidies on their future TFP. Mediating mechanism analysis indicates that government subsidies enhance the TFP of ESEs by alleviating financing constraints and increasing R&D investment. In particular, government subsidies exhibit a stronger mediating effect in ESEs with higher previous TFP. Heterogeneity analysis reveals that both R&D and non-R&D subsidies improve the TFP, and government subsidies have stronger effects on the TFP of non-state-owned ESEs, larger ESEs, and ESEs in favorable financial environments. These findings provide insights for building a proactive government in energy storage industry and contributing to the achievement of dual-carbon targets.

Suggested Citation

  • Lin, Boqiang & Zhang, Aoxiang, 2024. "Impact of government subsidies on total factor productivity of energy storage enterprises under dual-carbon targets," Energy Policy, Elsevier, vol. 187(C).
  • Handle: RePEc:eee:enepol:v:187:y:2024:i:c:s0301421524000661
    DOI: 10.1016/j.enpol.2024.114046
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421524000661
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2024.114046?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. Zhang, Dongyang, 2019. "Can export tax rebate alleviate financial constraint to increase firm productivity? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 529-540.
    2. Xiong, Su & Luo, Rong, 2023. "Investigating the relationship between digital trade, natural resources, energy transition, and green productivity: Moderating role of R&D investment," Resources Policy, Elsevier, vol. 86(PB).
    3. Chiappini, Raphaël & Montmartin, Benjamin & Pommet, Sophie & Demaria, Samira, 2022. "Can direct innovation subsidies relax SMEs’ financial constraints?," Research Policy, Elsevier, vol. 51(5).
    4. Ma, Beiling & Sharif, Arshian & Bashir, Madiha & Bashir, Muhammad Farhan, 2023. "The dynamic influence of energy consumption, fiscal policy and green innovation on environmental degradation in BRICST economies," Energy Policy, Elsevier, vol. 183(C).
    5. Lin, Boqiang & Zhang, Aoxiang, 2024. "Digital finance, regional innovation environment and renewable energy technology innovation: Threshold effects," Renewable Energy, Elsevier, vol. 223(C).
    6. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    7. Xu, Xiaofeng & Cui, Xiaodan & Chen, Xiangyu & Zhou, Yichen, 2022. "Impact of government subsidies on the innovation performance of the photovoltaic industry: Based on the moderating effect of carbon trading prices," Energy Policy, Elsevier, vol. 170(C).
    8. Ren, Xiaohang & liu, Ziqing & Jin, Chenglu & Lin, Ruya, 2023. "Oil price uncertainty and enterprise total factor productivity: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 201-218.
    9. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    10. Toni M. Whited & Guojun Wu, 2006. "Financial Constraints Risk," The Review of Financial Studies, Society for Financial Studies, vol. 19(2), pages 531-559.
    11. Jiang, Zhangsheng & Xu, Chenghao, 2023. "Policy incentives, government subsidies, and technological innovation in new energy vehicle enterprises: Evidence from China," Energy Policy, Elsevier, vol. 177(C).
    12. Tang, Pengcheng & Jiang, Qisheng & Wang, Chao, 2024. "Beyond environmental actions: How environmental regulations stimulate strategic-political CSR engagement in China?," Energy Economics, Elsevier, vol. 129(C).
    13. Ilona Sergant & Patrick Cayseele, 2019. "Financial Constraints: State Aid to the Rescue? Empirical Evidence from Belgian Firm-Level Data," Journal of Industry, Competition and Trade, Springer, vol. 19(1), pages 33-67, March.
    14. Liu, Guangqiang & Zhang, Xiaojie & Zhang, Wanting & Wang, Di, 2019. "The impact of government subsidies on the capacity utilization of zombie firms," Economic Modelling, Elsevier, vol. 83(C), pages 51-64.
    15. Lee, Chien-Chiang & Chen, Mei-Ping & Yuan, Zihao, 2023. "Is information and communication technology a driver for renewable energy?," Energy Economics, Elsevier, vol. 124(C).
    16. Wu, Yilin & Huang, Shilei, 2022. "The effects of digital finance and financial constraint on financial performance: Firm-level evidence from China's new energy enterprises," Energy Economics, Elsevier, vol. 112(C).
    17. Wu, Ting & Yang, Shuwang & Tan, Jingjing, 2020. "Impacts of government R&D subsidies on venture capital and renewable energy investment -- an empirical study in China," Resources Policy, Elsevier, vol. 68(C).
    18. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    19. Wu, Wei & Hu, Yingying & Wu, Qinwen, 2023. "Subsidies and tax incentives - Does it make a difference on TFP? Evidences from China's photovoltaic and wind listed companies," Renewable Energy, Elsevier, vol. 208(C), pages 645-656.
    20. Du, Jun & Mickiewicz, Tomasz, 2016. "Subsidies, rent seeking and performance: Being young, small or private in China," Journal of Business Venturing, Elsevier, vol. 31(1), pages 22-38.
    21. Luan, Ranran & Lin, Boqiang, 2022. "Positive or negative? Study on the impact of government subsidy on the business performance of China's solar photovoltaic industry," Renewable Energy, Elsevier, vol. 189(C), pages 1145-1153.
    22. Lin, Boqiang & Xie, Yongjing, 2023. "Positive or negative? R&D subsidies and green technology innovation: Evidence from China's renewable energy industry," Renewable Energy, Elsevier, vol. 213(C), pages 148-156.
    23. Bernini, Cristina & Pellegrini, Guido, 2011. "How are growth and productivity in private firms affected by public subsidy? Evidence from a regional policy," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 253-265, May.
    24. Cheng, Zhonghua & Meng, Xiangwei, 2023. "Can carbon emissions trading improve corporate total factor productivity?," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    25. Razzaq, Asif & Sharif, Arshian & Ozturk, Ilhan & Skare, Marinko, 2023. "Asymmetric influence of digital finance, and renewable energy technology innovation on green growth in China," Renewable Energy, Elsevier, vol. 202(C), pages 310-319.
    26. Zhishuang Zhu & Hua Liao, 2019. "Do subsidies improve the financial performance of renewable energy companies? Evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 241-256, January.
    27. Wu, Aihua, 2017. "The signal effect of Government R&D Subsidies in China: Does ownership matter?," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 339-345.
    28. Yonghong Ma & Huili Ni & Xiaomeng Yang & Lingkai Kong & Chunmei Liu, 2023. "Government subsidies and total factor productivity of enterprises: a life cycle perspective," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(1), pages 153-188, April.
    29. Howell, Anthony, 2017. "Picking ‘winners' in China: Do subsidies matter for indigenous innovation and firm productivity?," China Economic Review, Elsevier, vol. 44(C), pages 154-165.
    30. Wu, Zhanchi & Fan, Xiangjun & Zhu, Bangzhu & Xia, Jiahui & Zhang, Lin & Wang, Ping, 2022. "Do government subsidies improve innovation investment for new energy firms: A quasi-natural experiment of China's listed companies," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    31. Ranasinghe, Ashantha, 2014. "Impact of policy distortions on firm-level innovation, productivity dynamics and TFP," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 114-129.
    32. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    33. Umar, Muhammad & Safi, Adnan, 2023. "Do green finance and innovation matter for environmental protection? A case of OECD economies," Energy Economics, Elsevier, vol. 119(C).
    34. Wang, Lanfang & Wang, Yue & Zhou, Jing, 2022. "Political connection,government R&D subsidies and innovation efficiency: Evidence from China," Finance Research Letters, Elsevier, vol. 48(C).
    35. Chen, Yu & Wang, Yuandi & Hu, Die & Zhou, Zhao, 2020. "Government R&D subsidies, information asymmetry, and the role of foreign investors: Evidence from a quasi-natural experiment on the shanghai-hong kong stock connect," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    36. Lin, Boqiang & Zhang, Aoxiang, 2023. "Government subsidies, market competition and the TFP of new energy enterprises," Renewable Energy, Elsevier, vol. 216(C).
    37. Cheng, Yiran & Zhou, Xiaorui & Li, Yongjian, 2023. "The effect of digital transformation on real economy enterprises’ total factor productivity," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 488-501.
    38. Tang, Pengcheng & Yang, Shuxiang & Yang, Shuwang, 2020. "How to design corporate governance structures to enhance corporate social responsibility in China's mining state-owned enterprises?," Resources Policy, Elsevier, vol. 66(C).
    39. Zhang, Wenwen & Chiu, Yi-Bin, 2023. "Country risks, government subsidies, and Chinese renewable energy firm performance: New evidence from a quantile regression," Energy Economics, Elsevier, vol. 119(C).
    40. Lin, Boqiang & Xie, Yongjing, 2023. "The impact of government subsidies on capacity utilization in the Chinese renewable energy industry: Does technological innovation matter?," Applied Energy, Elsevier, vol. 352(C).
    41. Wang, Shubin & Li, Jian & Razzaq, Asim, 2023. "Do environmental governance, technology innovation and institutions lead to lower resource footprints: An imperative trajectory for sustainability," Resources Policy, Elsevier, vol. 80(C).
    42. Robert Wieser, 2005. "Research And Development Productivity And Spillovers: Empirical Evidence At The Firm Level," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 587-621, September.
    43. Tiwari, Sunil & Si Mohammed, Kamel & Guesmi, Khaled, 2023. "A way forward to end energy poverty in China: Role of carbon-cutting targets and net-zero commitments," Energy Policy, Elsevier, vol. 180(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. Lin, Boqiang & Xie, Yongjing, 2023. "The impact of government subsidies on capacity utilization in the Chinese renewable energy industry: Does technological innovation matter?," Applied Energy, Elsevier, vol. 352(C).
    2. Lin, Boqiang & Zhang, Aoxiang, 2023. "Government subsidies, market competition and the TFP of new energy enterprises," Renewable Energy, Elsevier, vol. 216(C).
    3. Ji, Mianmian & Lv, Wendai, 2022. "Demonstration zones reform and corporate philanthropy: Evidence from China," Economic Modelling, Elsevier, vol. 115(C).
    4. Chunhua Lu & Hong Li, 2023. "Have China’s Regional Carbon Emissions Trading Schemes Promoted Industrial Resource Allocation Efficiency? The Evidence from Heavily Polluted Industries at the Provincial Level," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    5. Li, Mingyang & Jin, Man & Kumbhakar, Subal C., 2022. "Do subsidies increase firm productivity? Evidence from Chinese manufacturing enterprises," European Journal of Operational Research, Elsevier, vol. 303(1), pages 388-400.
    6. Harris, Richard & Moffat, John, 2011. "Plant-level determinants of total factor productivity in Great Britain, 1997-2006," LSE Research Online Documents on Economics 33561, London School of Economics and Political Science, LSE Library.
    7. Guo, Shu & Zhang, ZhongXiang, 2023. "Green credit policy and total factor productivity: Evidence from Chinese listed companies," Energy Economics, Elsevier, vol. 128(C).
    8. Raphaël CHIAPPINI & Sophie POMMET, 2023. "The impact of public support for innovation on SME performance and efficiency," Bordeaux Economics Working Papers 2023-06, Bordeaux School of Economics (BSE).
    9. Cullmann, Astrid & Stiel, Caroline, 2022. "Cost and productivity effects of demographic changes on local water service," Utilities Policy, Elsevier, vol. 79(C).
    10. Massimo Colombo & Annalisa Croce & Samuele Murtinu, 2014. "Ownership structure, horizontal agency costs and the performance of high-tech entrepreneurial firms," Small Business Economics, Springer, vol. 42(2), pages 265-282, February.
    11. Nikita Céspedes & María E. Aquije & Alan Sánchez & Rafael Vera Tudela, 2016. "Productividad sectorial en el Perú: un análisis a nivel de firmas," Chapters of Books, in: Nikita Céspedes & Pablo Lavado & Nelson Ramírez Rondán (ed.), Productividad en el Perú: medición, determinantes e implicancias, edition 1, volume 1, chapter 3, pages 70-92, Fondo Editorial, Universidad del Pacífico.
    12. Xu He & Qin-Lei Jing, 2022. "The Impact of Environmental Tax Reform on Total Factor Productivity of Heavy-Polluting Firms Based on a Dual Perspective of Technological Innovation and Capital Allocation," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    13. Andrea Lasagni & Annamaria Nifo & Gaetano Vecchione, 2015. "Firm Productivity And Institutional Quality: Evidence From Italian Industry," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 774-800, November.
    14. Andrés Rodríguez‐Pose & Roberto Ganau & Kristina Maslauskaite & Monica Brezzi, 2021. "Credit constraints, labor productivity, and the role of regional institutions: Evidence from manufacturing firms in Europe," Journal of Regional Science, Wiley Blackwell, vol. 61(2), pages 299-328, March.
    15. Anna Giunta & Domenico Scalera & Francesco Trivieri & Jeffrey B. Nugent & Mariarosaria Agostino, 2011. "Firm Productivity, Organizational Choice and Global Value Chain," Working Papers 2011R09, Orkestra - Basque Institute of Competitiveness.
    16. Bhattacharya, Mita & Okafor, Luke Emeka & Pradeep, V., 2021. "International firm activities, R&D, and productivity: Evidence from Indian manufacturing firms," Economic Modelling, Elsevier, vol. 97(C), pages 1-13.
    17. Bang, Minji & Gao, Wayne Yuan & Postlewaite, Andrew & Sieg, Holger, 2023. "Using monotonicity restrictions to identify models with partially latent covariates," Journal of Econometrics, Elsevier, vol. 235(2), pages 892-921.
    18. V. Vandenberghe & F. Waltenberg & M. Rigo, 2013. "Ageing and employability. Evidence from Belgian firm-level data," Journal of Productivity Analysis, Springer, vol. 40(1), pages 111-136, August.
    19. Crespo Cuaresma, Jesus & Oberhofer, Harald & Vincelette, Gallina Andronova, 2014. "Firm growth and productivity in Belarus: New empirical evidence from the machine building industry," Journal of Comparative Economics, Elsevier, vol. 42(3), pages 726-738.
    20. Antonio Rodriguez-Lopez & Miaojie Yu, 2017. "All-Around Trade Liberalization and Firm-Level Employment: Theory and Evidence from China," CESifo Working Paper Series 6710, CESifo.

    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:187:y:2024:i:c:s0301421524000661. 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.