Although the importance of the elasticity of substitution between capital and labor (sigma) has long been recognized in several branches of economics, it has not received enough attention in the growth literature. de La Grandville (1989) showed theoretically that at any stage of an economy's development, the growth rate of income per capita is increasing with sigma. The higher is sigma, the greater the similarity between capital and labor in the production function, and thus diminishing returns set in very slowly. To the best of our knowledge, this is the first paper that tests the hypothesis that growth rate is increasing with the value of sigma at the cross-country level. We estimate sigma for 90 countries from direct estimation of the normalized CES production function and then include these estimators as an explanatory variable in cross-country growth regression. We investigate the sign and significance of the coefficient of sigma conditioning on country characteristics, initial conditions, and a set of policy variables. After accounting for endogeneity and the fact that sigma is a "generated" regressor, we find strong support for the hypothesis. The result is robust to both Leamer's (1983) extreme value analysis and Bayesian model averaging. About a fifth to a quarter of the growth rate differential between East Asia and Sub-Saharan Africa can be explained by sigma alone. (C) 2012 Elsevier B.V. All rights reserved.