Population relatedness and cross-country idea flows: evidence from book translations
Andrew Dickens ()
Journal of Economic Growth, 2018, vol. 23, issue 4, 367-386
Abstract This paper establishes a robust relationship between idea flows across countries, as captured by book translations, and two measures of population relatedness. I argue that linguistic distance imposes a cost on idea flows, whereas genetic distance captures an incentive to communicate when dissimilar countries have more to learn from each other. Consistent with this hypothesis, I find that linguistic distance is negatively associated with book translations, whereas genetic distance is positively associated with book translations after conditioning on linguistic and geographic distance. In particular, the benchmark estimate indicates that a one standard deviation increase in linguistic distance reduces book translations by 12%, while a one standard deviation increase in genetic distance increases book translations by 10%.
Keywords: Linguistic distance; Genetic distance; Book translations; Idea flows (search for similar items in EconPapers)
JEL-codes: F10 O47 O50 Z10 (search for similar items in EconPapers)
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