Global Trends in Innovation Patterns: A Complexity Approach

Christian Chacua, Shreyas Gadgin Matha, Matte Hartog (), Ricardo Hausmann and Muhammed A. Yildirim
Additional contact information
Christian Chacua: Harvard's Growth Lab
Matte Hartog: Center for International Development at Harvard University
Muhammed A. Yildirim: Center for International Development at Harvard University

No 235, Growth Lab Working Papers from Harvard's Growth Lab

Abstract: Technological know-how in a country shapes its growth potential and competitiveness. 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 comprehensive 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 market economies. We find that future income, patenting, and publishing growth correlate with the economic complexity indices calculated from these domains. Capabilities embedded in the country also shape future diversification opportunities and make the innovation process path dependent. Lastly, we also show that diversification opportunities can be inferred across innovation domains.

Keywords: economic complexity; innovation complexity; scientific complexity (search for similar items in EconPapers)
JEL-codes: F60 O25 O30 O38 (search for similar items in EconPapers)
Date: 2024-09
New Economics Papers: this item is included in nep-cse and nep-ino
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://growthlab.hks.harvard.edu/sites/projects.i ... ovation-patterns.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:glh:wpfacu:235

Access Statistics for this paper

More papers in Growth Lab Working Papers from Harvard's Growth Lab
Bibliographic data for series maintained by Chuck McKenney ().