Our willingness to embrace climate change policies depends on our perceptio
n of their benefits and costs. Evaluation of these costs and benefits requi
res cartful economic analysis. Yet the standard tools for such assessment -
computable general equilibrium (CGE) models - are inadequate on several gr
ounds. Their underlying theory suffers from well-known logical difficulties
; in general, their equilibria may be neither unique, stable, nor efficient
. Moreover, real-world phenomena such as increasing returns to scale, learn
ing, and technological innovation are neglected in CGE models. These phenom
ena make the resulting equilibria in the models inefficient; in the real wo
rld they can lock society into sub-optimal technology choices. They introdu
ce uncertainty and path-dependence, annihilating the concept of a single ef
ficient allocation produced by the unfettered market. Yet conventional econ
omics assesses the cost of policies solely on the basis of their departure
from a purportedly efficient equilibrium - ignoring deeper structural chang
es that are often decisive in practice. New socio-economic theories and mod
els are emerging that allow for bounded rationality, the limiting and enabl
ing character of institutions, technological change, and the complexities a
nd uncertainties in economic evolution. Meanwhile, existing models should b
e modified to better reflect real-world phenomena and to abandon unfounded
assumptions about the inherent "inefficiencies" of government intervention
in the market. (C) 1999 Elsevier Science Ltd. All rights reserved.