Abstract

How historical connections, events and cultural proximity can influence human development is being increasingly recognized. One aspect of history that has only recently begun to be examined is deep cultural ancestry, i.e. the vertical relationships of descent between cultures, which can be represented by a phylogenetic tree of descent. Here, we test whether deep cultural ancestry predicts the United Nations Human Development Index (HDI) for 44 Eurasian countries, using language ancestry as a proxy for cultural relatedness and controlling for three additional factors—geographical proximity, religion and former communism. While cultural ancestry alone predicts HDI and its subcomponents (income, health and education indices), when geographical proximity is included only income and health indices remain significant and the effect is small. When communism and religion variables are included, cultural ancestry is no longer a significant predictor; communism significantly negatively predicts HDI, income and health indices, and Muslim percentage of the population significantly negatively predicts education index, although the latter result may not be robust. These findings indicate that geographical proximity and recent cultural history—especially communism—are more important than deep cultural factors in current human development and suggest the efficacy of modern policy initiatives is not tightly constrained by cultural ancestry.

Highlights

  • Our analysis is the first to combine high-resolution language phylogenies with PGLS to simultaneously examine the effects of cultural phylogeny, geography and recent cultural factors on development

  • Our results show that while deep cultural ancestry alone can predict variation in Human Development Index (HDI) indicators, this relationship is better attributable to the effect of geography and recent cultural changes, which emerge as more important predictors of human development

  • Development outcomes are likely to be constrained by geography to the extent that the geographical proximity effects we identify reflect direct environmental influence

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Summary

Introduction

In Bangladesh per capita income and life expectancy are much lower (US$1530 and 68 years) and people have on average less than five years of schooling [2]. While such measures cannot capture all facets of human welfare [3], identifying what factors predict metrics like HDI is important for understanding the forces shaping global development [4,5] and for guiding policy decisions [6,7]

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