Unveiling the enigma: Exploring how uncertain crude oil prices shape investment expenditure and efficiency in Chinese enterprises
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DOI: 10.1016/j.eneco.2024.107423
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- Mingyu Shu & Jieli Wang & Menglong Chen & Hanru Wang, 2025. "Multi-scale Dynamic Correlation Between Climate Shock and China's Stock Market: Evidence Based on High Frequency Data," Computational Economics, Springer;Society for Computational Economics, vol. 66(3), pages 2265-2304, September.
- Irfanullah Khan & Muhammad Tayyab & Faheem Ur Rehman, 2026. "Exploring global contagion in artificial Intelligence, supply chain pressure, oil price, and economic policy uncertainty: insights from a bayesian TVP-SV-VAR model," Economic Change and Restructuring, Springer, vol. 59(1), pages 1-34, February.
- Smimou, K. & Abrokwah, M. & Drougas, A., 2025. "Corporate investment decisions and related commodities: International evidence from energy and mining industries," Energy Economics, Elsevier, vol. 149(C).
- Yue, Tian & Li, Lu-Lu & Ruan, Xinfeng & Zhang, Jin E., 2024. "Smirking in the energy market: Evidence from the Chinese crude oil options market," International Review of Financial Analysis, Elsevier, vol. 96(PA).
- Chuanmiao Yan & Xinyu Zhang & Ruhong Cui & Yuying Sun & Shouyang Wang, 2026. "DKformer: A Novel Transformer‐Based Model for Interval‐Valued Crude Oil Price Forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(3), pages 1020-1035, April.
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