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Perception of Economic Policy Uncertainty and Energy Consumption Intensity: Evidence from Construction Companies

Author

Listed:
  • Yulu Liang

    (School of Business, Beijing Technology and Business University, Beijing 100048, China)

  • Ruiling Dong

    (School of Business, Beijing Technology and Business University, Beijing 100048, China)

  • Ruiyifan Wan

    (School of Business, Beijing Technology and Business University, Beijing 100048, China)

  • Shenglin Ma

    (School of Economics and Management, North University of China, Taiyuan 030051, China)

  • Yongjian Huang

    (School of Finance, Central University of Finance and Economics, Beijing 100081, China)

  • Donghui Pan

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

Abstract

Using 2010–2019 data from 404 listed construction companies in China, we explore the relationship between perception of economic policy uncertainty (PEPU) and energy consumption intensity (ECI) based on a fixed effects model controlling for company, year, and city fixed effects, with standard errors clustered at the industry level. The results show that the perception of economic policy uncertainty reduces construction enterprise energy consumption intensity, and this result holds after a series of robustness and endogeneity tests. Further, this effect is stronger in firms with more green shareholders, environmental information disclosure, and external attention. Moreover, mechanism analysis indicates that internal control enhancement and green innovation improvement, including quantity and quality, are the underlying channels through which the perception of economic policy uncertainty influences energy consumption intensity.

Suggested Citation

  • Yulu Liang & Ruiling Dong & Ruiyifan Wan & Shenglin Ma & Yongjian Huang & Donghui Pan, 2025. "Perception of Economic Policy Uncertainty and Energy Consumption Intensity: Evidence from Construction Companies," Energies, MDPI, vol. 18(12), pages 1-21, June.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:12:p:3183-:d:1681050
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    References listed on IDEAS

    as
    1. Li, Junjun & Wu, Tong & Hu, Boqiang & Pan, Dongliang & Zhou, Yaqiong, 2025. "Artificial intelligence and corporate ESG performance," International Review of Financial Analysis, Elsevier, vol. 102(C).
    2. Lubos Pástor & Pietro Veronesi, 2012. "Uncertainty about Government Policy and Stock Prices," Journal of Finance, American Finance Association, vol. 67(4), pages 1219-1264, August.
    3. Nick Bloom, 2007. "Uncertainty and the Dynamics of R&D," American Economic Review, American Economic Association, vol. 97(2), pages 250-255, May.
    4. Brandon Julio & Youngsuk Yook, 2012. "Political Uncertainty and Corporate Investment Cycles," Journal of Finance, American Finance Association, vol. 67(1), pages 45-84, February.
    5. Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Keith Kuester & Juan Rubio-Ramírez, 2015. "Fiscal Volatility Shocks and Economic Activity," American Economic Review, American Economic Association, vol. 105(11), pages 3352-3384, November.
    6. 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.
    7. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    8. Shi, Daqian & Yang, Zhijiu & Ji, Hongkun, 2022. "Energy target-based responsibility system and corporate energy efficiency: Evidence from the eleventh Five Year Plan in China," Energy Policy, Elsevier, vol. 169(C).
    9. FU, Yunyun & SHEN, Yongchang & SONG, Malin & WANG, Weiyu, 2024. "Does artificial intelligence reduce corporate energy consumption? New evidence from China," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 548-561.
    10. Da Gao & Linfang Tan & Yue Chen, 2025. "Unlocking Carbon Reduction Potential of Digital Trade: Evidence from China’s Comprehensive Cross-border E-Commerce Pilot Zones," SAGE Open, , vol. 15(1), pages 21582440251, February.
    11. Ryghaug, Marianne & Sørensen, Knut H., 2009. "How energy efficiency fails in the building industry," Energy Policy, Elsevier, vol. 37(3), pages 984-991, March.
    12. Gonzalez-Diaz, Manuel & Arrunada, Benito & Fernandez, Alberto, 2000. "Causes of subcontracting: evidence from panel data on construction firms," Journal of Economic Behavior & Organization, Elsevier, vol. 42(2), pages 167-187, June.
    13. Shelagh Campbell & Yingqi Li & Junli Yu & Zhou Zhang, 2016. "The Impact of Occupational Community on the Quality of Internal Control," Journal of Business Ethics, Springer, vol. 139(2), pages 271-285, December.
    14. Hao, Xiaoli & Miao, Erxiang & Sun, Qingyu & Li, Ke & Wen, Shufang & Wu, Haitao, 2025. "When climate policy's up in the air: How digital technology impacts corporate energy intensity," Energy Economics, Elsevier, vol. 144(C).
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