演講者簡介 : Prof. Kuan-Pin Lin為Ph.D.，State University of New York, Stony Brook (1977)。
現為Professor of Economics and Co-Director of Applied Economics Research Group，Portland University。
其主要研究領域為Computational econometrics、Computer applications in economics、Internet economics及Computable or applied general equilibrium (CGE) models。
演講摘要 : Using techniques of spatial econometrics, this paper investigates σ-convergence of provincial real per capita gross domestic product (GDP) in China. The empirical evidence concludes that spatial dependence across regions is strong enough to distort the traditional measure of σ-convergence. This study focuses on the variation of per capita GDP that is dependent on the development processes of neighboring provinces and cities. This refinement of the conditional σ-convergence model specification allows for analysis of spatial dependence in the mean and variance. The corrected measure of σ-convergence in China indicates a lower level of dispersion in the economic development process. This implies a smaller divergence in real per capita GDP, although convergence across regions is still a challenging goal to achieve in the 2000s.
