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Study On Regional Differences And Influencing Factors Of Total Factor Productivity Of Tertiary Industry In China

Posted on:2019-08-14Degree:MasterType:Thesis
Country:ChinaCandidate:Z B WangFull Text:PDF
GTID:2370330548962489Subject:Quantitative Economics
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According to the general experience of the developed countries in the world,in a certain extent,the level of development of tertiary industry reflects the level of economic and social development.Our country aims at building a powerful modern country.It requires us to improve the quality of development and economic efficiency.We would make great efforts to promote innovation and technological progress so that we can make transformation of the mode of economic development.The total factor productivity of tertiary industry represents the level of its development.It is a factor to measure the output growth of tertiary industry except the growth of all the observable input elements.Its important role in economic growth has long been recognized by the academia.Data envelopment analysis(DEA)and stochastic frontier analysis(SFA)based on production frontiers are the main methods to measure total factor productivity.In reference to previous research results,this paper uses the DEA-Malmquist index and SFA to calculate the TFP of tertiary industry and its changes from the year 2001 to 2015,and decomposed into technological progress(TECHCH),pure technical efficiency(PECH)and scale efficiency(SECH)three parts to study its regional difference.In the study of influencing factors,this paper creatively introduces the proportion of government leaders who enter into the judicial process as an important variable into the model,and uses the fixed effect model and the random effect model to study the contribution of the Party Central Committee against corruption to the total factor productivity of the tertiary industry from 2007 to 2015.This paper deeply research the contribution of the Party Central Committee makes clean government and anticorruption struggle of tertiary industry since the 18 th CPC National Congress,and then compared with the proportion of employees in the tertiary industry and R&D input intensity to find out the influencing dimension of different variables.The results of this study show that there are significant regional differences in total factor productivity of tertiary industry.The developed regions represented by the eastern coastal areas,the southern coastal areas and the northern coastal areas are significantly higher than the northwest,southwest and northeast regions.At present,regional differences do not show obvious convergence,so current situation will continue in the future.Second,the regional differences in total factor productivity of tertiary industries are mainly caused by the differences in technological progress.Regions with high growth rates usually have faster technological progress,and the cumulative changes in technological progress during the year between 2001 and 2015 are higher than the cumulative changes in total factor productivity in tertiary industry.Third,the proportion of tertiary industry employees,investigating officials with problems and R & D intensity are the main factors of the growing rate of total factor productivity of tertiary industry.Among them,the regional differences in total factor productivity of tertiary industry are mainly due to the huge differences in R&D input intensity.The efforts of investigating officials with problems are also another important factor in the TFP growth in tertiary industry.At the end of this paper,based on the systematic review of the huge regional differences in total factor productivity in the tertiary industry and the research of the three major influencing factors,the author give feasible policies and suggestions from three aspects: continuously increase R&D investment,promote industrial transfer and technology diffusion and fight against corruption firmly.
Keywords/Search Tags:Total Factor Productivity, Tertiary Industry, Technical Change, Efficiency Change, Anti-Corruption
PDF Full Text Request
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