【摘要】：高技術(shù)產(chǎn)業(yè)是一種擁有知識密集、技術(shù)密集的新興產(chǎn)業(yè)，具有前沿科學(xué)和先導(dǎo)技術(shù)相融合的特征。2012年8月，蘭州新區(qū)成為繼上海浦東新區(qū)、天津濱海新區(qū)、重慶兩江新區(qū)、浙江舟山群島新區(qū)后國務(wù)院批復(fù)的第五個國家級新區(qū)。在這個大背景下，我們就有必要了解甘肅省甘肅省高技術(shù)產(chǎn)業(yè)的現(xiàn)狀和特征。甘肅省高技術(shù)產(chǎn)業(yè)的發(fā)展是由資本、勞動驅(qū)動的？還是由全要素生產(chǎn)率（TFP）驅(qū)動的？在TFP的構(gòu)成中，技術(shù)進(jìn)步和技術(shù)效率的變動趨勢如何，，以及哪些因素對全要素生產(chǎn)率有著重要影響，研究結(jié)論對于甘肅省高技術(shù)產(chǎn)業(yè)的發(fā)展有一定的參考價值。 文章首先分別采用了增長核算法和數(shù)據(jù)包絡(luò)模型測算了甘肅省高技術(shù)產(chǎn)業(yè)的全要素生產(chǎn)率，對于甘肅省高技術(shù)產(chǎn)業(yè)全要素生產(chǎn)率的總體水平有一個直觀的認(rèn)識。其次對于甘肅省高技術(shù)產(chǎn)業(yè)分行業(yè)的全要素生產(chǎn)率進(jìn)行比較，尋找各行業(yè)之間的差距，全要素生產(chǎn)率又可通過Malmquist指數(shù)模型進(jìn)行分解，將其劃分為技術(shù)進(jìn)步和技術(shù)效率，技術(shù)效率又可細(xì)分為純技術(shù)效率和規(guī)模效率，這對于了解甘肅省高技術(shù)產(chǎn)業(yè)各行業(yè)的發(fā)展有著更細(xì)致的認(rèn)識。最后文章對于全要素生產(chǎn)率的影響機(jī)制進(jìn)行了實證研究，研究發(fā)現(xiàn)，人力資本對全要素生產(chǎn)率的影響不夠明顯，區(qū)位因素以及政策支持是甘肅省高技術(shù)產(chǎn)業(yè)全要素生產(chǎn)率的重要影響因素，對外開放度不高，且產(chǎn)權(quán)結(jié)構(gòu)不合理阻礙甘肅省高技術(shù)產(chǎn)業(yè)發(fā)展。
[Abstract]:High-tech industry is a knowledge-intensive, technology-intensive emerging industry with the characteristics of leading-edge science and forerunner technology. In August 2012, Lanzhou New area became a new area following Shanghai Pudong New area, Tianjin Binhai New area and Chongqing Liangjiang New area. Zhejiang Zhoushan archipelago new area after the State Council approved the fifth state-level new area. In this context, it is necessary to understand the status and characteristics of high-tech industries in Gansu Province. The development of high-tech industry in Gansu Province is driven by capital and labor? Or is it driven by TFP (TFP)? In the composition of TFP, the change trend of technology progress and technology efficiency, as well as which factors have important influence on total factor productivity, the research conclusion has certain reference value for the development of high-tech industry in Gansu Province. Firstly, the growth kernel algorithm and the data envelopment model are used to measure the total factor productivity of the high-tech industry in Gansu Province, which has an intuitive understanding of the overall level of the total factor productivity of the high-tech industry in Gansu Province. Secondly, comparing the total factor productivity of high-tech industry in Gansu Province, looking for the gap between different industries, TFP can be decomposed by Malmquist index model, and divided into technological progress and technical efficiency. The technical efficiency can be subdivided into pure technical efficiency and scale efficiency, which has a more detailed understanding of the development of high-tech industry in Gansu Province. Finally, the paper makes an empirical study on the impact mechanism of TFP. It is found that the impact of human capital on TFP is not obvious enough. Location factors and policy support are the important factors influencing the total factor productivity of high-tech industry in Gansu Province. The opening degree is not high, and the unreasonable property right structure hinders the development of high-tech industry in Gansu Province.
【學(xué)位授予單位】：蘭州商學(xué)院
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：F127;F224

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