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Pathways to stable economic policy: The role of industrial robotics and energy transition

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  • Liu, Yang
  • Zhao, Congyu
  • Kong, Zhaoyang
  • Taghizadeh-Hesary, Farhad

Abstract

In the evolving global economic policy landscape, the integration of industrial robot technology and sustainable energy transition has deepened over time. This study utilizes panel data from 21 countries spanning 2000 to 2023 to investigate the effects of industrial robot adoption and energy transition on economic policy uncertainty, with a focus on their potential synergistic impact. The findings demonstrate that both industrial robots and energy transition significantly reduce economic policy uncertainty. Specifically, a 1 % increase in industrial robot adoption is associated with a 0.035 % reduction in economic policy uncertainty, while a higher share of clean energy use leads to a more substantial decline. Further analysis reveals that these effects vary across countries with different levels of human capital. In countries with high human capital, energy transition proves more effective in reducing policy uncertainty, whereas in countries with low human capital, industrial robot adoption has a stronger impact. Additionally, the interaction between industrial robots and energy transition generates a significant synergistic effect, further reducing policy uncertainty. These findings highlight the critical role of technology adoption and energy transition in fostering a stable economic policy environment.

Suggested Citation

  • Liu, Yang & Zhao, Congyu & Kong, Zhaoyang & Taghizadeh-Hesary, Farhad, 2025. "Pathways to stable economic policy: The role of industrial robotics and energy transition," Renewable Energy, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:renene:v:244:y:2025:i:c:s0960148125004136
    DOI: 10.1016/j.renene.2025.122751
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    1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LLC, vol. 3(1), pages 1-31, March.
    2. Du, Longzheng & Lin, Weifen, 2022. "Does the application of industrial robots overcome the Solow paradox? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    3. Tran, Quoc Trung, 2019. "Economic policy uncertainty and corporate risk-taking: International evidence," Journal of Multinational Financial Management, Elsevier, vol. 52.
    4. Sen, Souvik & Ganguly, Sourav, 2017. "Opportunities, barriers and issues with renewable energy development – A discussion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1170-1181.
    5. Wang, Lei & Zhou, Yahong & Chiao, Benjamin, 2023. "Robots and firm innovation: Evidence from Chinese manufacturing," Journal of Business Research, Elsevier, vol. 162(C).
    6. Matteo Fiorini & Bernard Hoekman & Clément Malgouyres, 2018. "Services policy reform and manufacturing employment: Evidence from transition economies," The World Economy, Wiley Blackwell, vol. 41(9), pages 2320-2348, September.
    7. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    8. Gihleb, Rania & Giuntella, Osea & Stella, Luca & Wang, Tianyi, 2022. "Industrial robots, Workers’ safety, and health," Labour Economics, Elsevier, vol. 78(C).
    9. Shen, Lihua & Hong, Yanran, 2023. "Can geopolitical risks excite Germany economic policy uncertainty: Rethinking in the context of the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 51(C).
    10. Jianjia He & Danyuan Wang, 2023. "Impact of Economic Policy Uncertainty on Industrial Convergence: Evidence from China," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    11. Li, Xiuqing & Mao, Hui & Fang, Lan, 2024. "The impact of rural human capital on household energy consumption structure: Evidence from Shaanxi Province in China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8, pages 1-10.
    12. repec:ags:aaea22:335879 is not listed on IDEAS
    13. Carillo, Mario F., 2024. "Human capital composition and long-run economic growth," Economic Modelling, Elsevier, vol. 137(C).
    14. Nepal, Rabindra & Liu, Yang & Dong, Kangyin, 2025. "Adaptive capacity to climate change: Does energy aid matter?," Energy Economics, Elsevier, vol. 141(C).
    15. Saud Asaad Al‐Thaqeb & Barrak Ghanim Algharabali & Khaled Tareq Alabdulghafour, 2022. "The pandemic and economic policy uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 2784-2794, July.
    16. (Maggie) Fu, Xiaoqing & Bao, Qun & Xie, Hongjun & Fu, Xiaolan, 2021. "Diffusion of industrial robotics and inclusive growth: Labour market evidence from cross country data," Journal of Business Research, Elsevier, vol. 122(C), pages 670-684.
    17. Sequeira, Tiago Neves & Garrido, Susana & Santos, Marcelo, 2021. "Robots are not always bad for employment and wages," International Economics, Elsevier, vol. 167(C), pages 108-119.
    18. Dogan, Eyup & Madaleno, Mara & Taskin, Dilvin & Tzeremes, Panayiotis, 2022. "Investigating the spillovers and connectedness between green finance and renewable energy sources," Renewable Energy, Elsevier, vol. 197(C), pages 709-722.
    19. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    20. Luca Agnello & Vitor Castro & João Tovar Jalles & Ricardo M. Sousa, 2017. "Income inequality, fiscal stimuli and political (in)stability," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(3), pages 484-511, June.
    21. Goh, Soo Khoon & Wong, Koi Nyen & Tham, Siew Yean, 2013. "Trade linkages of inward and outward FDI: Evidence from Malaysia," Economic Modelling, Elsevier, vol. 35(C), pages 224-230.
    22. Bo Chen & Dong Tan, 2023. "Industrial Robots and the Employment Quality of Migrant Workers in the Manufacturing Industry," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    23. Aldakhil, Abdullah Mohammed & Nassani, Abdelmohsen A. & Zaman, Khalid, 2020. "The role of technical cooperation grants in mineral resource extraction: Evidence from a panel of 12 abundant resource economies," Resources Policy, Elsevier, vol. 69(C).
    24. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    25. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    26. Liu, Yunxin & Cao, Yuqiang & Lu, Meiting & Shan, Yaowen & Xu, Jiangang, 2024. "Automating efficiency: The impact of industrial robots on labor investment in China," Economic Modelling, Elsevier, vol. 140(C).
    27. Chishti, Muhammad Zubair & Dogan, Eyup & Binsaeed, Rima H., 2024. "Can artificial intelligence and green finance affect economic cycles?," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    28. Lin, Changqing & Xiao, Shengpeng & Yin, Zihui, 2022. "How do industrial robots applications affect the quality upgrade of Chinese export trade?," Telecommunications Policy, Elsevier, vol. 46(10).
    29. Wang, Dong & Wang, Ziwei & Zong, Xiaohua, 2023. "Impact of economic policy uncertainty on higher education expansion," Finance Research Letters, Elsevier, vol. 52(C).
    30. Haas, Christian & Kempa, Karol & Moslener, Ulf, 2023. "Dealing with deep uncertainty in the energy transition: What we can learn from the electricity and transportation sectors," Energy Policy, Elsevier, vol. 179(C).
    31. Kong, Dejing & Zhou, Yuan & Liu, Yufei & Xue, Lan, 2017. "Using the data mining method to assess the innovation gap: A case of industrial robotics in a catching-up country," Technological Forecasting and Social Change, Elsevier, vol. 119(C), pages 80-97.
    32. Xi, Yue & Huynh, Anh Ngoc Quang & Jiang, Yushi & Hong, Yanran, 2023. "Energy transition concern: Time-varying effect of climate policy uncertainty on renewables consumption," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    33. Child, Michael & Breyer, Christian, 2017. "Transition and transformation: A review of the concept of change in the progress towards future sustainable energy systems," Energy Policy, Elsevier, vol. 107(C), pages 11-26.
    34. Zhang, Jiaming & Zou, Yang & Xiang, Yitian & Guo, Songlin, 2023. "Climate change and Japanese economic policy uncertainty: Asymmetric analysis," Finance Research Letters, Elsevier, vol. 56(C).
    35. Dekle, Robert, 2020. "Robots and industrial labor: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    36. Duan, Dingyun & Chen, Shaojian & Feng, Zongxian & Li, Jun, 2023. "Industrial robots and firm productivity," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 388-406.
    37. Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    38. Zhang, Dayong & Lei, Lei & Ji, Qiang & Kutan, Ali M., 2019. "Economic policy uncertainty in the US and China and their impact on the global markets," Economic Modelling, Elsevier, vol. 79(C), pages 47-56.
    39. Li, Zheng Zheng & Su, Chi-Wei & Moldovan, Nicoleta-Claudia & Umar, Muhammad, 2023. "Energy consumption within policy uncertainty: Considering the climate and economic factors," Renewable Energy, Elsevier, vol. 208(C), pages 567-576.
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    More about this item

    Keywords

    Economic policy uncertainty; Industrial robotics; Energy transition; Human capital; Global case;
    All these keywords.

    JEL classification:

    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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