Research on Contains Healthy Human Regional TFP and Its Influencing Factors
HUANG Li
LI Xiang-qian
ZHANG Zi-ye
Abstract：Based on the 2005-2014 years of China's panel data for 31 provinces, using stochastic frontier, contains healthy human regional TFP and its influencing factors are analyzed.The results show that: China's total factor productivity is low, and in the continuous improvement, there is a big difference between provinces.Without consideration of its influencing factors, it will underestimate the total factor productivity of China's regional economic system.Trade dependence, government regulation and industrial structure have positive effects on total factor productivity.Property right structure and the income gap between urban and rural areas are the opposite, but the technological innovation ability has no significant effect on the time lag effect.This shows that the development of foreign trade, industrial structure optimization, the rise of non state owned economy is conducive to the process of national construction in the process of regional total factor productivity improvement.
Keywords：total factor productivityhealth human capitalstochastic frontier model
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 78-84 )