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Government science and technology spending and energy efficiency: An inverted U-shaped analysis

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  • Zhang, Haowei
  • Lv, Yang
  • Zhang, Justin Z.
  • Fadil, Paul

Abstract

This paper investigates the relationship between government science and technology spending and urban energy efficiency, using data from 282 prefecture-level cities in China spanning 2013 to 2022. The study is motivated by the need to understand how public investment in science and technology contributes to sustainable urban development and efficient energy use, especially in the context of regional disparities and policy interventions. Empirical analysis reveals an inverted U-shaped relationship between government science and technology spending and energy efficiency, a finding that is robust across various tests. Heterogeneity analysis indicates that this effect is significant in the eastern and central regions of China, but negligible in the western region. Furthermore, in cities with low levels of government intervention, the aforementioned relationship exhibits pronounced nonlinearity, while it becomes insignificant in highly interventionist environments. Mechanism analysis demonstrates that green innovation and digital economic development play mediating roles in this relationship. Spatial spillover effects further reveal that low levels of government science and technology spending siphon energy efficiency from neighboring cities, whereas higher levels induce positive spillovers. These findings underscore the importance of optimizing public investment strategies to enhance energy efficiency and foster sustainable development.

Suggested Citation

  • Zhang, Haowei & Lv, Yang & Zhang, Justin Z. & Fadil, Paul, 2025. "Government science and technology spending and energy efficiency: An inverted U-shaped analysis," Energy Economics, Elsevier, vol. 149(C).
    • Handle: RePEc:eee:eneeco:v:149:y:2025:i:c:s0140988325006450
    DOI: 10.1016/j.eneco.2025.108818
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    References listed on IDEAS

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    1. Liang, Lin & Li, Yan, 2023. "How does government support promote digital economy development in China? The mediating role of regional innovation ecosystem resilience," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Pan, Ting & Lin, Boqiang, 2025. "Impact of green credit policy on energy efficiency: Empirical evidence from heavily polluting enterprises," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    3. You, Wanhai & Lv, Zhike, 2018. "Spillover effects of economic globalization on CO2 emissions: A spatial panel approach," Energy Economics, Elsevier, vol. 73(C), pages 248-257.
    4. Masanao Aoki & Hiroshi Yoshikawa, 2004. "Demand saturation – creation and economic growth," Chapters, in: Paolo Onofri (ed.), The Economics of an Ageing Population, chapter 4, Edward Elgar Publishing.
    5. Filippini, Massimo & Hunt, Lester C., 2015. "Measurement of energy efficiency based on economic foundations," Energy Economics, Elsevier, vol. 52(S1), pages 5-16.
    6. Wang, Ziqi & Peng, Dan & Kong, Qunxi & Tan, Feifei, 2025. "Digital infrastructure and economic growth: Evidence from corporate investment efficiency," International Review of Economics & Finance, Elsevier, vol. 98(C).
    7. Liangliang Liu & Wenqing Zhang, 2022. "Vertical fiscal imbalance and government spending on science and technology in China," Economic Change and Restructuring, Springer, vol. 55(3), pages 1953-1971, August.
    8. Junjun Tang & Xing Zhao, 2023. "Does the new digital infrastructure improve total factor productivity?," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 895-916, October.
    9. Feng Yanzhe & Sana Ullah, 2025. "Energy regulation, energy innovation, and carbon intensity nexus in China: A nonlinear perspective," Energy & Environment, , vol. 36(2), pages 936-957, March.
    10. Tol, Richard S.J., 2024. "A meta-analysis of the total economic impact of climate change," Energy Policy, Elsevier, vol. 185(C).
    11. Shahbaz, Muhammad & Wang, Jianda & Dong, Kangyin & Zhao, Jun, 2022. "The impact of digital economy on energy transition across the globe: The mediating role of government governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    12. Gregory Tassey, 2010. "Rationales and mechanisms for revitalizing US manufacturing R&D strategies," The Journal of Technology Transfer, Springer, vol. 35(3), pages 283-333, June.
    13. Bolognesi, Enrica & Burchi, Alberto & Goodell, John W. & Paltrinieri, Andrea, 2025. "Stakeholders and regulatory pressure on ESG disclosure," International Review of Financial Analysis, Elsevier, vol. 103(C).
    14. Qi Li & Jiaojiao Wang & Guohua Cao & Jing Zhang, 2021. "Financial constraints, government subsidies, and corporate innovation," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-24, November.
    15. Lin, Boqiang & Raza, Muhammad Yousaf, 2020. "Analysis of energy security indicators and CO2 emissions. A case from a developing economy," Energy, Elsevier, vol. 200(C).
    16. Zhou, Yang & Tang, Zhen & Qian, Xiaoyan & Mardani, Abbas, 2021. "Digital manufacturing and urban conservation based on the Internet of Things and 5 G technology in the context of economic growth," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    17. Lin, Boqiang & Ma, Ruiyang, 2022. "Green technology innovations, urban innovation environment and CO2 emission reduction in China: Fresh evidence from a partially linear functional-coefficient panel model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    18. Du, Qunyang & Sun, Zhennan & Goodell, John W. & Du, Anna Min & Yang, Tianle, 2024. "Ecological risk and corporate sustainability: Examining ESG performance, risk management, and productivity," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    19. Xiao Hui Chen & Li Zhang, 2023. "Insurance density and the digital economic development: a China perspective," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(2), pages 2142824-214, July.
    20. Shang, Hua & Jiang, Li & Pan, Xianyou & Pan, Xiongfeng, 2022. "Green technology innovation spillover effect and urban eco-efficiency convergence: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 114(C).
    21. Hazwan Haini, 2020. "Spatial spillover effects of public health and education expenditures on economic growth: evidence from China’s provinces," Post-Communist Economies, Taylor & Francis Journals, vol. 32(8), pages 1111-1128, November.
    22. Hao, Yu & Gai, Zhiqiang & Wu, Haitao, 2020. "How do resource misallocation and government corruption affect green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 143(C).
    23. Shao, Yanmin & Chen, Zhongfei, 2022. "Can government subsidies promote the green technology innovation transformation? Evidence from Chinese listed companies," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 716-727.
    24. Lide Su & AGUDAMU & Yuqian Liu & Yang Zhang, 2023. "China’s new urban clusters strategy for coordinated economic growth: Evidence from the sports industry," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-14, October.
    25. Wang, Lianghu & Shao, Jun, 2024. "The energy saving effects of digital infrastructure construction: Empirical evidence from Chinese industry," Energy, Elsevier, vol. 294(C).
    26. Wu, Haitao & Hao, Yu & Ren, Siyu & Yang, Xiaodong & Xie, Guo, 2021. "Does internet development improve green total factor energy efficiency? Evidence from China," Energy Policy, Elsevier, vol. 153(C).
    27. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    28. Chen, Jian & Zhao, Di & He, Bin & Stanojevic, Savo, 2022. "How do fiscally created one-city monopolies cause intra-provincial inequality in China?," Land Use Policy, Elsevier, vol. 120(C).
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