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Insights from the Field

Linguistic Diversity Drives Economic Growth, Challenging Ethnicity-Based Theories


linguistic heterogeneity
multilingualism
cross-national data
Comparative Politics
BJPS
1 datasets
Dataverse
The Language of Economic Growth: A New Measure of Linguistic Heterogeneity. was authored by Amy Liu and Elise Pizzi. It was published by Cambridge in BJPS in 2018.

This paper challenges the view that ethnolinguistic homogeneity boosts economic growth.

It argues language is primarily a practical communication tool rather than an ethnic marker. Language boundaries aren't static or necessarily tied to ethnicity. People can be multilingual and learn official languages.

Key Argument

The supposed benefits of linguistic unity should apply equally to countries with large numbers of non-native speakers learning the dominant language.

Causal Mechanism

Linguistic heterogeneity enhances efficiency by enabling broader communication networks, including through formal education systems.

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