We are mainly concerned in this article with a first rule for the efficient (Pareto) -subdifferential concerning the composition of two convex vector mappings taking values in finite or infinite-dimensional pre-ordered spaces. The obtained formula is exact and holds under MoreauRockafellar or Attouch-Brézis qualification conditions. In fact, beyond regularity, the rule would not be accurate without convex (Fenchel) -subdifferential of one of the two composed mappings. But also, suitable fields of variation for vector parameters play crucial roles in the operation. These, moreover, really enable to derive for cone-constrained convex vector optimization problems, a complete -efficiency criterion of the Kuhn-Tucker type given in terms of a vector Lagrangian.
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