On the Effects of Manufacturing Spatial Concentration on Total Factor Productivity in China:Empirical Study Based on Double-threshold Regression Model
Xu Yan
Abstract
Xu Yan
Abstract
Based on the panel data of 20 manufacturing industries in china from 2000 to 2008,this paper develops a double-threshold regression model with EG index as the threshold variable,in order to investigate the effects and mechanism of spatial concentration on TFP.The result suggests,industrial spatial concentration mainly promote embodied technical change,but the influence on technical efficiency is not strong enough;the effect of industrial spatial concentration has threshold effects,which is weakening with the raising degree of spatial concentration,and there is the most appropriate scale of spatial concentration;there exists a relationship between industry technique rank and spatial concentration's threshold effects,that is to say the spatial concentration of resource industries and low-tech industries is at a lower level,but promotes TFP growth and technical change more significantly.
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Based on the panel data of 20 manufacturing industries in china from 2000 to 2008,this paper develops a double-threshold regression model with EG index as the threshold variable,in order to investigate the effects and mechanism of spatial concentration on TFP.The result suggests,industrial spatial concentration mainly promote embodied technical change,but the influence on technical efficiency is not strong enough;the effect of industrial spatial concentration has threshold effects,which is weakening with the raising degree of spatial concentration,and there is the most appropriate scale of spatial concentration;there exists a relationship between industry technique rank and spatial concentration's threshold effects,that is to say the spatial concentration of resource industries and low-tech industries is at a lower level,but promotes TFP growth and technical change more significantly.
Key concepts: Total factor productivity, Econometrics, Index (typography), Threshold model, Panel data, Regression analysis, Economics, Manufacturing