摘要
区域经济增长差异是经济发展过程中所出现的必然现象。本文认为,不同的分析方法很可能导致不同的结果,从而,分析方法是至关重要的理论问题。本文将区域经济增长收敛的分析方法总结为β收敛、σ收敛、概率收敛,并加以说明和评价。本文认为,不同的分析方法都具有各自的优点和弱点。β收敛是区域经济增长收敛的必要条件,并不是充分条件。与β收敛和σ收敛不同,概率收敛利用时间序列数据,它能够表明收敛的长期稳定性。本文认为,区域经济增长的收敛分析应该利用多种分析方法,才能得出较正确的结果。
Regional economic development disparity is an objective phenomenon in the development process. Each analytical method would bring on different results, and analytical method is an important theoretical problem. Three different types of convergence in the growth literatures β - convergence, σ- convergence, and stochastic convergence. The β - convergence test method is a necessary but not sufficient condition. The β - convergence test and σ - convergence indicator use a cross - section data. But stochastic convergence test use a time - series, and it can suggest a stationary of long term trend. This paper suggests that regional growth convergence test should use a multiple variables and methods.
出处
《数量经济技术经济研究》
CSSCI
北大核心
2006年第3期102-110,128,共10页
Journal of Quantitative & Technological Economics
关键词
区域收
β口收敛
Σ收敛
概率收敛
Key words： Regional Convergence
β- Convergence
σ - Convergence
Stochastic Convergence
