【摘要】：創(chuàng)新是人類活力的源泉。在傳統(tǒng)的粗放式要素投入驅(qū)動經(jīng)濟增長的動力日漸衰退的當(dāng)下,以科技創(chuàng)新為內(nèi)核的經(jīng)濟增長新動力的構(gòu)筑愈發(fā)重要。如何提高科技進步對經(jīng)濟增長的貢獻率是亟待解決的關(guān)鍵問題。因此,本文在總結(jié)相關(guān)科技創(chuàng)新研究成果的基礎(chǔ)上,從科技創(chuàng)新要素投入出發(fā),理清創(chuàng)新驅(qū)動階段我國科技創(chuàng)新要素投入的組成并闡述其驅(qū)動經(jīng)濟增長的作用機理,進一步分析我國制造業(yè)層面及省域?qū)用婵萍紕?chuàng)新要素投入的績效情況。本文首先以中國制造業(yè)行業(yè)為研究對象并按技術(shù)水平高低將其分類,基于投入-產(chǎn)出分析框架、采用數(shù)據(jù)包絡(luò)分析法估算2008年至2015年各制造業(yè)行業(yè)科技創(chuàng)新要素投入的績效值,并進行比較和趨勢分析。其次,在運用Malmquist指數(shù)法測算中國30個省、直轄市和自治區(qū)的全要素生產(chǎn)率增長率的基礎(chǔ)上,利用2004-2015年各省域面板數(shù)據(jù),采用系統(tǒng)GMM方法,將科技創(chuàng)新要素投入細分為資源性要素和環(huán)境要素,具體分析其對經(jīng)濟增長質(zhì)量的影響。本文研究發(fā)現(xiàn),在研究期內(nèi)制造業(yè)整體綜合效率均值為0.787、純技術(shù)效率均值為0.853、規(guī)模效率均值為0.911,距離完全效率值1有一定的差距,制造業(yè)整體科技創(chuàng)新要素投入的績效水平不高,仍有較大的提升空間,而低水平的純技術(shù)效率值阻礙了制造業(yè)整體綜合效率水平的提升;在研究期內(nèi)綜合效率均值由高到低依次是低技術(shù)制造業(yè)、中低技術(shù)制造業(yè)、高技術(shù)制造業(yè)、中高技術(shù)制造業(yè),低技術(shù)制造業(yè)科技創(chuàng)新要素投入的績效水平保持領(lǐng)先,但高技術(shù)制造業(yè)績效水平增長較快且攀升幅度大。在省域?qū)用?資源性要素投入中研發(fā)資本存量對全要素生產(chǎn)率增長存在顯著的促進作用而研發(fā)人力資本卻存在負向影響;在環(huán)境要素中,軟件環(huán)境要素中創(chuàng)新意識、技術(shù)市場發(fā)育程度、市場開放程度以及風(fēng)險投資支持程度均對全要素生產(chǎn)率增長存在顯著正面影響,而硬件環(huán)境要素以及軟件環(huán)境要素中的教育水平、產(chǎn)學(xué)研合作發(fā)展水平則不利于全要素生產(chǎn)率的增長�；谥袊萍紕�(chuàng)新發(fā)展的現(xiàn)實與上述分析,本文展望未來創(chuàng)新驅(qū)動經(jīng)濟增長動力的構(gòu)筑,為科技創(chuàng)新要素投入績效水平的進一步提升、創(chuàng)新能力的增強提出相關(guān)政策建議。
[Abstract]:Innovation is the source of human vitality. At a time when the traditional extensive factor input drives the economic growth, it is more and more important to construct the new driving force of economic growth with scientific and technological innovation as the core. How to improve the contribution rate of scientific and technological progress to economic growth is a key problem to be solved. Therefore, on the basis of summarizing the related scientific and technological innovation research results, this paper starts from the input of the scientific and technological innovation elements, clarifies the composition of the scientific and technological innovation elements input in the innovation driving stage and expounds its function mechanism of driving the economic growth. Further analysis of the performance of scientific and technological innovation factor investment at the manufacturing level and provincial level in China. Based on the input-output analysis framework, this paper uses the data envelopment analysis method to estimate the performance of scientific and technological innovation factors in the manufacturing industry from 2008 to 2015. Comparison and trend analysis were carried out. Secondly, on the basis of measuring the growth rate of total factor productivity of 30 provinces, municipalities and autonomous regions in China by using Malmquist index method, and using the panel data of provinces from 2004 to 2015, a systematic GMM method is used to measure the total factor productivity growth rate of 30 provinces and municipalities directly under the Central Government. The input of science and technology innovation is subdivided into resource factor and environment factor, and its influence on the quality of economic growth is analyzed in detail. In this paper, it is found that during the period of study, the average overall efficiency of manufacturing industry is 0.787, the average of pure technical efficiency is 0.853, the mean of scale efficiency is 0.911, and there is a certain gap between the total efficiency of manufacturing industry and the value of complete efficiency. The performance level of scientific and technological innovation elements in manufacturing industry is not high, and there is still a large room for improvement, while the low level of pure technical efficiency hampers the overall efficiency level of the manufacturing industry. In the period of study, the average value of comprehensive efficiency from high to low is low technology manufacturing industry, low and middle technology manufacturing industry, high technology manufacturing industry, middle and high technology manufacturing industry, low technology manufacturing industry, and the performance level of scientific and technological innovation factor input of low technology manufacturing industry keeps ahead. However, the performance level of high-tech manufacturing industry has increased rapidly and by a large extent. At the provincial level, R & D capital stock has a significant promoting effect on total factor productivity growth in resource factor input, while R & D human capital has a negative impact on total factor productivity growth, and innovation consciousness in software environment element in environmental element, R & D human capital in R & D human capital has a negative impact on total factor productivity growth. The degree of technology market development, the degree of market opening and the degree of venture capital support have significant positive effects on the total factor productivity growth, while the education level of hardware environment factor and software environment factor. The level of cooperation between industry, college and research is not conducive to the growth of total factor productivity. Based on the reality of the development of scientific and technological innovation in China and the above analysis, this paper looks forward to the construction of the driving force of economic growth driven by innovation in the future, and puts forward relevant policy recommendations for the further improvement of the investment performance level of scientific and technological innovation elements and the enhancement of innovation ability.
【學(xué)位授予單位】：南京大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F224;F424.3
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本文編號：2167111