posted on 2013-01-28, 12:12authored byJuan Luis Martínez-Covarrubias
Developing countries have recently been emulating innovation policies
implemented by developed countries with the firm conviction that it will improve
their economic development prospects. Nevertheless, the specificities and
conditions of the former group differ from the latter. Technological as well as
absorptive and innovation capacities are key factors determining these differences.
According to the literature on evaluating innovation policy, these key issues have
been overlooked by current evaluation practices in developing countries. Another
literature, dealing with global value chains, claims that upgrading firms
functionally and inter-sectorally may allow developing countries to escape the
negative effects of globalisation highlighted by dependency theory and the law of
uneven development. However, there is a gap between these two literatures. To
date, no empirical evaluation framework for the evaluation of innovation policies
in developing countries explicitly considers either the importance of technological
and absorptive capacity building, or the likelihood of firms to upgrade functionally
and inter-sectorally in global value chains. This thesis fills that gap by developing
and validating an evaluation framework of innovation policies in developing
countries which explicitly considers these important factors.
Evaluation of business innovation policies implemented in Mexico from 2006 to
2009 served as a laboratory to test this methodological framework. A unique
dataset, gathered via telephone survey, was populated with a collected sample of
477 observations; these included information on firm performance and innovation
activities of 164 successful applicants for government support for business
innovation, as well as a control group of 313 firms. Through a self-assessment
exercise, recipients acknowledged the benefits of government support for business
innovation. These benefits include crowding-in effects and positive behavioural
additionalities, principally enlarging the research scope of firms and augmenting
their cognitive capacities. When compared with the control group, the results
suggest that recipients outperformed non-recipients in six types of innovation. In
addition, successful applicants performed well when compared to the control group
in terms of turnover and productivity, though employment has been found to be
statistically not significant. (This result suggests that recipients may focus on
capital-intensive process innovations.) An innovation production model has been
estimated and the application of a 2-step Heckman (1979) bias model indicated that
government support for business innovation positively affects firm performance in
terms of labour productivity growth, even when controlling for selection effects.
Methodologically, this study makes a novel and timely contribution to the existing
research by estimating the likelihood of firms in developing countries to achieve
functional and/or inter-sectoral upgrading overlooked to date by the evaluation
community. In addition, the algorithm developed to identify ‘high-potential
innovative firms’ has important policy implications.
The evaluation framework developed here makes a solid and novel contribution to
two strands of the literature: evaluation of business innovation in developing
countries and upgrading of firms in global value chains. It also provides insights to
policymakers with regards to the identification of ‘high potential innovative firms’
through a predictive algorithm. This evaluation framework was tested in the
Mexican context, and has the potential to be replicated for developing countries
with similar characteristics; there are transferable lessons to be learnt regardless of
the country context.
Funding
U.S.-Hungary Cooperative Mathematical Research on Vilenkin- Fourier Series