摘要：This paper addresses the impact of endogenous technology through research and
development (R&D) and learning by doing (LbD) on the timing of environmental policy.
We develop two models, the first with technological change through R&D and the second
with LbD. We study the interaction between environmental taxes and innovation
externalities in a dynamic economy and prove policy equivalence between the second-best
R&D and the LbD model. Our analysis shows that the difference found in the literature
between optimal environmental policy in R&D and LbD models can partly be traced back
to the set of policy instruments available, rather than being directly linked to the source of
technological innovation. Arguments for early action in LbD models carry over to a
second-best R&D setting. We show that environmental taxes should be high compared to
the Pigouvian levels when an abatement industry is developing. We illustrate our analysis
through numerical simulations on climate change policy
关键词：Environmental policy, technological change, research and development,
learning by doing
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