This paper has been revised made available as a GRIPS discussion paper (#2019-29):
Permalink : http://doi.org/10.24545/00001723
Innovation is becoming more and more important as a driver of economic
growth. In developed countries, a diverse set of innovation indicators
has been developed to monitor innovation performance and the impact of
innovation policies. Developing countries have been late to jump on this
bandwagon and are now faced with a set of well-established innovation
indicators that might not be that well suited to measure innovation in
their economies.
Existing innovation indicators can be broadly classified into three
different types: Science & Technology (S&T) indicators, Innovation
survey indicators, and Composite innovation indicators combining
different indicators, including S&T and Innovation survey data, into one
indicator. All of these have their own particular strengths and
weaknesses, and they score above or below average on a wide range of
attributes considered to be favourable, if not downright necessary, for
innovation indicators.
This paper argues that, for innovation indicators, and for innovation
survey indicators in particular, data collection has to be customised to
the different socio-economic structures of developing countries. For
this, the definition of innovation has to become more inclusive by
recognising the multitude of innovation actors and processes in
developing countries. Developing countries also need to build competence
regarding innovation indicators, not only within their statistical
systems but also among their policy makers.
JEL Classification: O38, O32, O29, P47
Keywords: innovation, indicators, developing countries, policy use
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