Econometric Evidence of the Effectiveness of Different R&amp;D Funding Sources

Innovation capacity is a dynamic capacity linked with the achievement of competitive advantage. Several mechanisms have been proposed to evaluate this capacity. However, developing innovation capacity is a complex process, particularly for developing countries, due to the intricacy of its determinants. Hence, this research analyzes the interlinkages between the key determinants driving this capacity to further propose a continuous path for its growth. A comprehensive review of the literature regarding assessing mechanisms for innovation capacity was conducted, which included 14 key innovation determinants. From a contextual and systematic approach, interpretive structural modelling was employed to determine the interlinkages of these determinants and classified as drivers or dependent. Ten levels or steps were drawn from level partitioning of the final reachability matrix. The results show the relevance of promoting and protecting innovation and intellectual property as the ground to develop this capacity. In addition, R&D investment and university–industry collaboration contribute to the consolidation of innovation systems. Utility models, patents, trademarks, and institution prominence are the result of this loop of innovation capacity development. From these findings, policymakers, practitioners, and scholars can draw a sustained roadmap to enhance this dynamic capacity in their countries.

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A Roadmap for Innovation Capacity in Developing Countries

Novillo-Villegas

Ayala-Andrade

Lopez-Cox

et al. 2022

Sustainability

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Evaluation of Technology Commercialization Factors in Kazakhstan

Alibekova,

Yedgenov,

Kozhakhmetova

et al. 2024

jour

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The commercialization of scientific research and development (R&D) results is a key driver for enhancing corporate revenues and profits, positively impacting economic development, and increasing global and national competitiveness. However, commercialization is a complex process influenced by various factors. This study aims to assess the mutual influence of commercialization factors of R&D in Kazakhstan and provide recommendations to strengthen positive influences and mitigate negative ones. Utilizing official data from the Bureau of National Statistics, including metrics such as enterprise innovation activity, the share of innovative products in GDP, patent numbers, R&D expenditures, industry innovation costs, and R&D personnel, a regression analysis was conducted using the time series method and the vector autoregression (VAR) approach. The analysis revealed that increased innovative activity of enterprises positively impacts the export of innovative products after three years but negatively affects the share of innovative products in GDP. Additionally, higher industry innovation costs and an increase in patent numbers lead to a rise in innovative product exports after three years. However, an increase in innovative product exports subsequently reduces patent numbers after three years. These results indicate that domestic enterprises focus primarily on expanding export-oriented products for short-term profit gains, reducing costs, and achieving immediate results, often at the expense of substantial innovation activities. The findings suggest a need for strategies to balance short-term profit motives with sustainable innovation investments to enhance long-term economic growth and competitiveness.

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Econometric Evidence of the Effectiveness of Different R&D Funding Sources

Cited by 2 publications

References 59 publications

A Roadmap for Innovation Capacity in Developing Countries

A Roadmap for Innovation Capacity in Developing Countries

Evaluation of Technology Commercialization Factors in Kazakhstan

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