Distance to frontier: From imitation to innovation
Ayaz Zeynalov
Technological Forecasting and Social Change, 2025, vol. 217, issue C
Abstract:
This paper empirically assesses the role of imitation and innovation in driving economic growth across countries at different stages of development. The literature suggests that countries farther from the technological frontier benefit from the advantages of backwardness, whereas economies closer to the frontier experience growth increasingly driven by “innovation-based” rather than “imitation-based” economic policies. A novel measurement of “distance to the frontier” is proposed, using an economic complexity index at the country level, which offers advantages over the “total factor productivity” metric commonly used in the literature. The endogeneity of economic growth is addressed using a dynamic panel data estimator applied to data from 95 countries spanning 1995 to 2019. The empirical findings validate the existence of two distinct threshold levels: one where the contribution of imitation to growth falls below that of innovation, and another where imitation begins to hinder growth. Evidence also suggests that several developing countries may be nearing the threshold associated with the middle-income trap. Finally, the research highlights that the role of institutional governance in technological adaptation is stage-dependent.
Keywords: Innovation; Imitation; Distance to frontier; Institutions (search for similar items in EconPapers)
JEL-codes: C33 C36 O11 O30 O43 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S004016252500201X
Full text for ScienceDirect subscribers only
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:eee:tefoso:v:217:y:2025:i:c:s004016252500201x
DOI: 10.1016/j.techfore.2025.124170
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().