基于地理加权回归模型的中国省际工业全要素生产率分析

ANALYSIS OF CHINA'S PROVINCIAL INDUSTRIAL TOTAL FACTOR PRODUCTIVITY BASED ON GEOGRAPHICAL WEIGHTED REGRESSION MODEL

Economic Geography · 2006
被引 3 · 同刊同年前 10%
人大 A-ABS 4

中文导读

利用空间莫兰指数和地理加权回归模型,检验2003年中国31个省级区域的工业全要素生产率的空间效应,发现空间计量模型估计结果优于普通最小二乘法。

Abstract

Total Factor Productivity(TFP) is an important symbol of national and regional economic growth and technological progress.Spatial Moran index of autocorrelation and geographical weighted regression(GWR)model are used to test the spatial effects and analyze the industrial TFP of China's 31 provincial regions in 2003.The geographical weighted regression model of spatial econometric estimation can decompose the sources of total factor productivity into every region's local effects,and the positive estimating results of spatial econometric models are better than that of OLS model.

工业全要素生产率地理加权回归空间效应省域分析