Introduce and support legislation to require a public annual list of PRC entities mining critical minerals in Africa using forced labor, child labor, or causing environmental harm.

Christopher A. Coons · Delaware · Democratic

policy impact 3.00 specificity 1.00 extraction confidence 98%

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Occurrences

Coons and Sheehy introduced the China-Africa Mining Transparency Act of 2026 to require a public annual list of PRC entities mining critical minerals in Africa using forced labor, child labor, or causing environmental harm.

Coons backed legislation requiring an annual public list of Chinese mining entities in Africa linked to forced labor, child labor, or environmental harm.

Senators Coons, Sheehy Introduce Bill to Expose Chinese Forced Labor and Environmental Abuses in Africa
primary · press_release · model gpt-5.4-mini

Evidence

Coons announced the bipartisan PROVE IT Act and said it would hold China accountable; the release says the bill covers refined strategic and critical minerals.

Closest official legislative action found: Coons introduced China-accountability legislation that touches critical minerals, but it does not create the promised annual Africa-focused PRC-entity list or the forced-labor, child-labor, and environmental-harm reporting requirement.

unresolved later_term A for effort

Senators Coons, Cramer introduce legislation to study global emissions intensity and hold countries with dirty production accountable
secondary · model gpt-5.4-mini · confidence 56%

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Assessments

partial same_term

The available evidence shows Senator Coons introduced and promoted related China-accountability legislation involving strategic and critical minerals in 2023, which is within his current Senate service. But the cited bill does not appear to require the specific promised outcome: a public annual list of PRC entities mining critical minerals in Africa tied to forced labor, child labor, or environmental harm. That is meaningful issue-area movement, but not full delivery of the stated promise.

provider codex_cli · model gpt-5.4 · confidence 79%