China has long wanted and envisioned the development of self-innovation as a means to drive its economy to one of the most productive in the world. Adopting this goal is a clear sign that China understands the Adam Smith and Schumpeterian argument that innovation is the primary way that...

The introduction of endogenous growth theory has led to new interest in the role of the entrepreneur as an agent driving technical change at the local regional level. This book examines theoretical and methodological issues surrounding the interface of the entrepreneur in regional growth...

The economies of the world have been undergoing a major technical transformation for at least the last two decades. This transformation has not unfolded uniformly with significant variation occurring at the regional and sectoral levels. The paper examines the pace and geographical patterns of...

Theories and approaches to endogenous growth and regional development tend to neglect or at best underplay the role of leadership and the way institutional factors are considered is usually simplistic. This paper builds on work the authors have been developing over the last year or so to develop...

Designing resilient and reliable networks is a principle concern of planners and private firms. Traffic congestion whether recurring or as the result of some aperiodic event is extremely costly. This paper describes an alternative process and a model for analyzing the resiliency of networks that...

This dissertation examines the relationship between public infrastructure and regionaleconomic productivity in China. Based on a panel data set for 29 regions of China for a17-year period of 1987-2003, a three-step nonstationary panel analytical procedure isconducted to investigate whether...

In this paper we explore how satellite images of global night lights from the years 2001 to 2007 can be used to estimate economic activity at the sub-regional level in the U.S., India and China. The night lights based estimates of economic activity are then spatially analyzed and compared with...

In this paper we develop an exploratory non-parametric clustering model of spatial and/or spatio-temporal phenomena based on Kolmogorov entropy. The methodology will be tested using quarterly HPI (Housing Price Index) data for 350 plus cities in the US from the Federal Financing and Housing...