Highlights

• Oil price uncertainty drives China's rare earth exports in opposite directions depending on the period: pandemic-era investment collapse reduced exports (May–July 2020), while geopolitical conflict accelerated them (June 2022–July 2024).
• Rare earth export volumes occasionally signal back to energy markets, suggesting they function as a geopolitical barometer watched by oil traders—not just passive inputs to the energy transition.
• Time-varying causality analysis reveals structural regime shifts that traditional one-model approaches miss; future research should separate product categories and incorporate policy shock indicators beyond simple tonnage data.

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Zhengzheng Li, Qingdao University, City University of Macau, and West University of Timisoara in Romania,  Shenyu Liu-- Qingdao University, and Oana-Ramona Lobonț, West University of Timisoara in Romania report in Energy Policy that the link between oil price uncertainty and China’s rare earth export volumes is not stable or one-directional—it flips depending on the era. Using monthly data (January 2012–July 2024) and a time-varying causality approach, the authors find that oil uncertainty sometimes pushes China’s rare earth exports up (notably during major geopolitical conflict periods), but in other windows pulls exports down (especially during the COVID-era investment shock). They also find select periods where shifts in rare earth export volumes appear to feed back into oil uncertainty—suggesting rare earths are not just “inputs to the energy transition,” but a signal watched by energy markets.

What they studied and how

• Data: Monthly China rare earth export amount (REA) + a news-text-based Oil Price Uncertainty (OPU) index, plus a global economic activity control variable.
• Method: VAR framework with bootstrap Granger causality, then a rolling-window bootstrap test to detect time-varying relationships and structural breaks (a key upgrade vs. “one-model-fits-all” studies).

Key findings in plain English

• Oil uncertainty → rare earth exports (OPU → REA) changes sign by period.
• Negative window (May–July 2020): Pandemic shock + collapsing oil prices coincide with reduced rare-earth investment momentum and weaker export volumes.
• Positive window (June 2022–July 2024): Higher oil uncertainty aligns with higher rare earth exports—consistent with conflict-era strategic stockpiling, cost pass-through, and accelerated energy-transition demand narratives.
• Rare earth exports → oil uncertainty (REA → OPU) appears episodic.
• Positive (Oct–Nov 2016): Tightening supply/industry enforcement and energy-transition signaling coincide with higher oil uncertainty.
• Negative (Jan–Mar 2018): During U.S.–China trade conflict dynamics, export signals correlate with reduced oil uncertainty in their framework.

Limitations

This is Granger causality, not proof of true cause-and-effect; results depend on model specification, rolling-window choices, and proxies. The study uses export volume (not value, pricing, product mix, or licensing constraints) and an OPU index derived from news text, which may embed media/attention bias. Also, the paper discusses post-2024 policy context (e.g., 2025 controls) beyond the stated sample—useful narrative, but not directly“tested” by the dataset.

REEx take

For investors and policymakers, the message is structural: rare earth exports behave like a geopolitical-and-energy barometer, not a simple commodities time series. If oil uncertainty spikes, China’s export posture may respond in either direction depending on whether the dominant regime is conflict-driven strategic demand or macro downturn/investment retrenchment.

Next steps that matter: replicate using separate product categories (oxides vs. magnets), add policy-shock indicators (export controls, quotas, licensing), and test against price and margin series—not just tonnage.

Citation: Li, Z., Liu, S., & Lobonț, O.-R. (2026). Oil price uncertainty and China’s rare earth exports: Driver or constraint? Energy Policy, 208, 114890. https://doi.org/10.1016/j.enpol.2025.114890 (opens in a new tab)