异质性的技术俱乐部与中国地区工业增长——基于潜类别随机前沿模型的研究

本文利用中国1999~2007年30个省份工业的面板数据,以各省份的人力资本水平、对外开放程度作为类别的条件变量,通过建立潜类别随机前沿模型,考虑技术俱乐部的异质性,从而分析了我国的工业经济增长过程。结果表明,我国30个省份存在两个技术俱乐部,使用不同的技术前沿,生产函数存在巨大差异,并且俱乐部A的技术效率高于俱乐部B。技术进步是各省份工业产出变化最重要的决定因素,且B俱乐部要高于A俱乐部。投入变动起着很重要的作用,而效率变化的作用却非常小。

Heterogeneous Technological Clubs and Industrial Growth in Chinese Provinces

Based on the industrial panel data of 30 provinces in 1999~2007,the human capital and openness as the class condition variables,through the establishment of latent class stochastic frontier model,and taking into account the heterogeneity of technology clubs,this paper analyzes process of industrial growth in China.The results show that the industrial growth of the 30 provinces have two technological clubs,which use a different frontier technology,huge difference in the production function,and the technology...