Person:

Gadgin Matha, Shreyas

Recent geopolitical challenges have revived the implementation of industrial and innovation policies. Ongoing discussions focus on supporting cutting-edge industries and strategic technologies but hardly pay attention to their impact on economic growth. In light of this, we discuss the design of innovation policies to address current development challenges while considering the complex nature of productive activities. Our approach conceives economic development and technological progress as a process of accumulation and diversification of knowledge. This process is limited by the tacit nature of knowledge and by countries’ binding constraints to growth. Consequently, effective innovation policies should be place-based and multidimensional, leveraging countries’ existing capabilities and addressing countries’ current problems. This contrasts policies that lead to economic efficiencies, such as copying other countries’ solutions to problems that countries do not currently have.

Technological know-how in a country shapes its growth potential and competitive- ness. Scientific publications, patents, and international trade data offer complementary insights into how ideas from science, technology, and production evolve, combine, and are transformed into capabilities. Analyzing their trajectories enables a more comprehen- sive and multifaceted understanding of the whole innovation process, from generating ideas to internationally commercializing products. We analyze the production patterns in these three domains, documenting the differences between advanced and emerging mar- ket economies. We find that future income, patenting, and publishing growth correlate with the economic complexity indices calculated from these domains. Capabilities em- bedded in the country also shape future diversification opportunities and make the inno- vation process path dependent. Lastly, we also show that diversification opportunities can be inferred across innovation domains.