Optimal growth when environmental quality is a research asset

We advance an original assumption whereby a good state of the environment positively affects labor productivity in R&D such that deteriorating environmental quality negatively impacts R&D. We study the implications of this assumption for the optimal solution in an R&D-based model of growth, where the use of a non-renewable resource generates pollution. We show that in such a case, it is socially optimal to postpone extraction, as opposed to the situation in which the environment has no effect on productivity in R&D. Furthermore, insofar as environmental quality declines and subsequently recovers, we find that it is optimal to re-allocate employment to R&D in line with productivity changes. If environmental quality recovers only partially from pollution, R&D effort optimally begins above its long-run level, then progressively declines to a minimum and eventually increases to its steady-state level.

Research highlights
► It is assumed that environmental quality positively affects productivity in R&D.
► As a consequence the extraction of a polluting resource should be optimally delayed.
► If the environment can recover from pollution the optimal R&D policy is non-monotone.