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Technological Progress Bias,Bias-Endowment Matching And Industry Technology Innovation

Posted on:2019-08-01Degree:MasterType:Thesis
Country:ChinaCandidate:J J JiaFull Text:PDF
GTID:2370330545499696Subject:Western economics
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Since the reform and opening up,China's economic development has relied on the increase of factor inputs for a long time.However,this extensive economic growth comes at the expense of a limited number of essential resources and the environment.Faced with the depletion of resources,it is urgent to improve the ability of technological innovation,change the mode of economic growth,and achieve sustainable economic development.In this regard,the Ninth National Party Congress put forward the development goal that China should rank among in the forefront of innovation-oriented countries in 2035.At this point,innovation has risen to the level of national strategy.Based on the existing research on innovation,this paper starts from the matching of technological progress bias and factor endowment structure,and verifies its promotion effect on innovation.This article first uses the relevant data of China's industrial subdivision industry from 1995 to 2014 to calculate the technical progress bias index of each subdivided industry according to CES production function and standardized supply surface system method.The results show that in the sample period,most of the industry's factor substitution elasticity is less than 1,which means there is a complementary relationship between elements.The bias of technological progress of the overall industry is towards capital,but the degree of bias toward capital is gradually weakened.The following empirical analysis results show that there is no obvious correlation between the index of technological progress bias and innovation,but the matching between technological progress bias and factor endowment structure has a significant role in promoting innovation,and in labor-intensive industries this promotion effect is stronger than that of capital-intensive industries,and at the same time,the possible impact mechanisms are analyzed and verified.In addition,the empirical results also show that both firm size and economic openness have a positive effect on innovation,while profit levels positively promote innovation in labor-intensive industries but negatively inhibit capital-intensive industries.
Keywords/Search Tags:bias of technological progress, element structure, matching, technological innovation
PDF Full Text Request
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