Total Factor Productivity(TFP) is an important symbol of national economic growth,regional economic growth and technological progress. It is very much important to calculate TFP properly and scientifically for regional economic and technological progress and policy-making. Spatial Moran index of autocorrelation, Spatial Lag Model(SLM)and Spatial Error Model(SEM)are used to analyze the industrial TFP of China's 31 provincial regions based on the industrial enterprises statistical data of year 2003. The econometric estimation results show: (1) The estimation results of spatial econometric models are better than that of OLS model,and the spatial statistic and spatial econometric models have good effects on testing and calculating 31 provincial regions' industrial TFP in China. (2) The investment of industrial capital is one of the main factors which causing the great gap among coastal, central, western areas and provinces in the influencing factors of China's provincial industrial factor productivity. (3) Lower labor productivity is the bottleneck and conditional factor promoting China's 31 provincial regions' industrial TFP. (4) The capital together with technology is the pushing factors in China's provincial industrial TFP growth in 2003.
WU Yu-Ming, LI Jian-Xia
. A Spatial Econometric Analysis of Industrial Total Factor Productivity in China's Provincial Regions[J]. SCIENTIA GEOGRAPHICA SINICA, 2006
, 26(4)
: 385
-391
.
DOI: 10.13249/j.cnki.sgs.2006.04.385
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