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The Influence of Government Subsidies on the Efficiency of Technological Innovation: A Panel Threshold Regression Approach

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  • Lihua Hu

    (College of Marxism, Southwest University of Political Science & Law, Yubei, Chongqing 401120, China)

  • Yuanyuan Chen

    (School of Japanese, Dongguk University, Seoul 04620, Republic of Korea)

  • Tao Fan

    (Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Zigong 643000, China)

Abstract

As a typical technology-intensive industry, the renewable energy industry is a standard sample for scholars to study the R&D innovation of enterprises. At present, the industry is strongly supported by the government subsidy policy in China and has developed rapidly in recent years. Its own financing constraints and lack of innovation power are also the main problems for the development of renewable energy enterprises. Taking A-share renewable energy enterprises from 2016 to 2020 as the research object, this paper constructs a panel model to empirically study the relationship between government subsidies and enterprise innovation efficiency. The findings are as follows. First, government subsidies can significantly promote the innovation efficiency of enterprises; second, the government subsidy has an obvious double threshold effect on the innovation efficiency of enterprises, and when the government subsidy is in a certain range, the subsidy effect is the best; third, the government subsidy effect of non-state-owned renewable energy enterprises is better than that of state-owned enterprises; the effect of government subsidies for renewable energy enterprises in the central and western regions is better than that in the eastern region. The threshold effect of government subsidies on enterprise innovation efficiency is also quite different.

Suggested Citation

  • Lihua Hu & Yuanyuan Chen & Tao Fan, 2022. "The Influence of Government Subsidies on the Efficiency of Technological Innovation: A Panel Threshold Regression Approach," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:534-:d:1018045
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    1. 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.
    2. Hidalgo, Javier & Lee, Jungyoon & Seo, Myung Hwan, 2019. "Robust inference for threshold regression models," Journal of Econometrics, Elsevier, vol. 210(2), pages 291-309.
    3. Liu, Jingjing & Zhao, Min & Wang, Yanbo, 2020. "Impacts of government subsidies and environmental regulations on green process innovation: A nonlinear approach," Technology in Society, Elsevier, vol. 63(C).
    4. Bhattacharya, Mita & Paramati, Sudharshan Reddy & Ozturk, Ilhan & Bhattacharya, Sankar, 2016. "The effect of renewable energy consumption on economic growth: Evidence from top 38 countries," Applied Energy, Elsevier, vol. 162(C), pages 733-741.
    5. Zeeshan, Muhammad & han, Jiabin & Rehman, Alam & Ullah, Irfan & Hussain, Arif & Alam Afridi, Fakhr E., 2022. "Exploring symmetric and asymmetric nexus between corruption, political instability, natural resources and economic growth in the context of Pakistan," Resources Policy, Elsevier, vol. 78(C).
    6. Choi, Suk Bong & Lee, Soo Hee & Williams, Christopher, 2011. "Ownership and firm innovation in a transition economy: Evidence from China," Research Policy, Elsevier, vol. 40(3), pages 441-452, April.
    7. Shi‐Xiao Wang & Wen‐Min Lu & Shiu‐Wan Hung, 2020. "Improving innovation efficiency of emerging economies: The role of manufacturing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 503-519, June.
    8. 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.
    9. Zhang, Caiqing & Chen, Panyu, 2022. "Applying the three-stage SBM-DEA model to evaluate energy efficiency and impact factors in RCEP countries," Energy, Elsevier, vol. 241(C).
    10. Luo, Guoliang & Liu, Yingxuan & Zhang, Liping & Xu, Xuan & Guo, Yiwei, 2021. "Do governmental subsidies improve the financial performance of China’s new energy power generation enterprises?," Energy, Elsevier, vol. 227(C).
    11. Miremadi, I. & Saboohi, Y. & Arasti, M., 2019. "The influence of public R&D and knowledge spillovers on the development of renewable energy sources: The case of the Nordic countries," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 450-463.
    12. Sung, Bongsuk, 2019. "Do government subsidies promote firm-level innovation? Evidence from the Korean renewable energy technology industry," Energy Policy, Elsevier, vol. 132(C), pages 1333-1344.
    13. Sunder, Jayanthi & Sunder, Shyam V. & Zhang, Jingjing, 2017. "Pilot CEOs and corporate innovation," Journal of Financial Economics, Elsevier, vol. 123(1), pages 209-224.
    14. Liu, Dayong & Chen, Tong & Liu, Xiaoyang & Yu, Yongze, 2019. "Do more subsidies promote greater innovation? Evidence from the Chinese electronic manufacturing industry," Economic Modelling, Elsevier, vol. 80(C), pages 441-452.
    15. Li, Hongbin & Zhou, Li-An, 2005. "Political turnover and economic performance: the incentive role of personnel control in China," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1743-1762, September.
    16. 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).
    17. Huan Chen & Tingyong Zhong & Jeoung Yul Lee, 2020. "Capacity Reduction Pressure, Financing Constraints, and Enterprise Sustainable Innovation Investment: Evidence from Chinese Manufacturing Companies," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    18. Zhao, Shukuan & Xu, Baoda & Zhang, Weiyong, 2018. "Government R&D subsidy policy in China: An empirical examination of effect, priority, and specifics," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 75-82.
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