This chapter describes how the spatial distribution of economic activity changes as economies develop and grow. We start with the relation between development and rural–urban migration. Moving beyond the coarse rural–urban distinction, we then focus on the continuum of locations in an...

Empirical analyses highlight local structural features (territorial capital) as constraints on regional growth and interregional convergence processes, but scant attention is devoted to traditional localised resources and specifically the natural and cultural heritage. However, only the...

We use US county level data (3,058 observations) from 1970 to 1998 to explore the relationship between economic growth and the extent of government employment at three levels: federal, state and local. We find that increases in federal, state and local government employments are all negatively...

We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are essentially uncorrelated with income levels. -- Economic Growth ;...

Recent literatures on entrepreneurship and economic growth estimate the empirical relationships between the following pairs of variables: (1) institutions and entrepreneurial activity; (2) institutions and economic growth; and (3) entrepreneurship and economic growth.This paper revisits each of...

We use U.S. county-level data to estimate convergence rates for 22 individual states. We find significant heterogeneity. E.g., the California estimate is 19.9 percent and the New York estimate is 3.3 percent. Convergence rates are essentially uncorrelated with income levels

We use new US county level data (3,058 observations) from 1970 to 1998 to explore the relationship between economic growth and the size of government at three levels: federal, state and local. Using 3SLS-IV estimation we find that the size of federal, state and local government all either...

We use U.S. county-level data containing 1,921 cross-sectional observations and up to 29 conditioning variables to estimate heterogeneity in convergence rates across 22 individual U.S. states. Applying GMM estimation, we find significant heterogeneity in the state-level convergence rates. For...

We utilize county-level data to explore the roles of different types of human capital accumulation in U.S. growth determination. The data includes over 3,000 cross-sectional observations and 39 demographic control variables. The large number of observations provides enough degrees of freedom to...

Do regional identities determine different levels of FDI-induced growth? This paper analyses the impact of FDI on the growth rates of European regions. In so doing, it discusses the role of different components of territorial capital in magnifying or daunting such an impact. The paper starts...