This paper dissects the universe of WTO “special and differential treatment” (SDT) proposals advanced since 2017 and still on the negotiating table. Using a hand-coded dataset of 88 agreement-specific textual submissions, we classify each provision as “good” (clearly beneficial to developing-country welfare), “bad” (likely welfare-reducing or protectionist), or “ambiguous” (net impact conditional on implementation choices).

Classification results:

We find that:

29% of provisions are unambiguously “good”;

34% are “bad,” often disguised as technical assistance or transition periods; and

37% are “ambiguous,” relying on elastic language such as “best endeavours” or “as appropriate.”

Patterns in ambiguity:

Regression analysis shows that ambiguity is greatest where North–South export competition is intense and smallest where South–South export overlap dominates.

Welfare simulations:

Simulations calibrated to 2019 trade flows indicate that implementing the “good” set would raise developing-country real income by USD 11.4 billion, while the “bad” set would erase USD 7.1 billion of those gains.

Conclusion:

The paper concludes with a triage rule—quantifiable benefit thresholds, mandatory peer review, and automatic graduation clauses—that could convert today’s mixed bag into a coherent development-oriented SDT architecture.