摘要
Abstract
By dividing the manufacturing industry into three categories of labor-capital-technology intensive industries by the fuzzy c-means clustering method,this paper makes analysis of transformation and upgrading of the manufacturing industry of different provinces.It is found that transformation and upgrading of China’s manufacturing industry,on the whole,presents the feature that eastern provinces’ transformation and upgrading of the manufacturing industry has the highest level and the most obvious trend,followed by central provinces’,while western provinces’ has the lowest level and the weakest trend.Then based on provincial panel data,the paper makes empirical analysis of relationship between transformation and upgrading of the manufacturing industry and regional economic growth by using the individual fixed effect with the constant coefficient model and the individual fixed effect with the variable coefficient model.The former shows that capital-intensive industries and technology intensive industries,in the process of transformation and upgrading of the manufacturing industry,have significant effects on economic growth. The latter shows that there exists great differences among provinces of different levels of development.Transformation and upgrading of the manufacturing industry does have significant effects on promoting economic growth among most of more developed eastern provinces,not among most of relatively backward central and western provinces. Therefore,different regions and provinces should be supported and guided based on different situations and with focus,in order to promote integration of transformation and upgrading of China’s manufacturing industry.关键词
制造业转型升级/资本密集型产业/技术密集型产业/地区经济增长Key words
transformation and upgrading of manufacturing industry/capital-intensive industries/technology-intensive industries/regional economic growth分类
管理科学
