本文關鍵詞： 區(qū)域創(chuàng)新系統(tǒng) 知識溢出 數據包絡分析法(DEA) C-D函數 相對效用　出處：《東北大學》2013年碩士論文　論文類型：學位論文

【摘要】：隨著信息和知識經濟的迅猛發(fā)展,知識對區(qū)域創(chuàng)新系統(tǒng)創(chuàng)新和經濟活動及產出的作用逐漸增強。知識溢出成為解釋產業(yè)集聚現象以及創(chuàng)新和經濟增長的至關重要的概念。研究區(qū)域創(chuàng)新系統(tǒng)知識溢出,測度溢出效應并分析溢出機制和主要影響因素,對各區(qū)域充分發(fā)揮各自優(yōu)勢,尤其是欠發(fā)達地區(qū)發(fā)揮其后發(fā)優(yōu)勢,縮小區(qū)域間社會經濟發(fā)展有著理論和現實的重要意義。 本文主要基于區(qū)域創(chuàng)新系統(tǒng)知識溢出的視角,通過相關研究綜述、理論分析,運用數據包絡分析以及C-D生產函數方法對我國區(qū)域創(chuàng)新系統(tǒng)知識溢出進行了比較深入的實證研究,主要包括如下幾個方面的具體內容： 首先,在區(qū)域創(chuàng)新系統(tǒng)的大背景下,對區(qū)域創(chuàng)新系統(tǒng)的知識溢出等進行了相關研究�；仡櫹嚓P文獻分析了溢出的機制、影響因素及其測度等,針對國內外對知識溢出的研究所存在的不足,站在了全新的角度對我國各省域創(chuàng)新系統(tǒng)的知識溢出進行了研究分析。 其次,本文使用了文獻研究法、理論和實際相結合等方法,通過構建區(qū)域創(chuàng)新系統(tǒng)知識溢出DEA模型,對我國各地區(qū)數據進行處理分析,探討了各地區(qū)的知識溢出水平及差異,又結合C-D函數,對我國各省域創(chuàng)新系統(tǒng)知識溢出建立了知識溢出效應的生產函數模型,比較了知識溢出的方向和強度,分析出知識溢出主要影響因素。 最后,根據上面對我國區(qū)域創(chuàng)新系統(tǒng)知識溢出的實證研究,得出以下結論：一、資本存量、RD經費支出和人力資本投入是區(qū)域創(chuàng)新系統(tǒng)知識溢出的主要因素；二、區(qū)域內不同要素對知識溢出的作用不同,多個投入要素之間投入量和規(guī)模比例的協(xié)調是決定區(qū)域知識溢出績效水平的關鍵；三、區(qū)域創(chuàng)新系統(tǒng)知識溢出投入產出結構的合理化是政府區(qū)域經濟發(fā)展調控的重要內容。
[Abstract]:With the rapid development of information and knowledge economy. The effect of knowledge on regional innovation system innovation and economic activity and output is gradually strengthened. Knowledge spillover has become a crucial concept to explain the phenomenon of industrial agglomeration and innovation and economic growth. Out. Measure the spillover effect and analyze the spillover mechanism and main influencing factors to give full play to the respective advantages of each region, especially to the less developed regions. It is of theoretical and practical significance to reduce the economic and social development of the region. This paper is mainly based on the perspective of knowledge spillover of regional innovation system, through the relevant research review, theoretical analysis. Using data envelopment analysis and C-D production function method, this paper makes a more in-depth empirical study on knowledge spillover of regional innovation system in China, which mainly includes the following aspects: Firstly, under the background of regional innovation system, the knowledge spillover of regional innovation system is studied. The mechanism, influencing factors and its measurement of spillover are analyzed. In view of the deficiency of the research on knowledge spillover at home and abroad, this paper studies and analyzes the knowledge spillover of innovation system in various provinces of China from a new angle. Secondly, this paper uses the method of literature research, theory and practice, through the construction of regional innovation system knowledge spillover DEA model, the processing and analysis of regional data in China. This paper discusses the level and difference of knowledge spillover in different regions, and establishes the production function model of knowledge spillover effect of innovation system in different provinces of China, combining with C-D function. The direction and intensity of knowledge spillover are compared, and the main influencing factors of knowledge spillover are analyzed. Finally, according to the empirical research on knowledge spillover of regional innovation system in China, the following conclusions are drawn: first, capital stock. Rd expenditure and human capital investment are the main factors of knowledge spillover of regional innovation system. Secondly, the effect of different factors on knowledge spillover is different, and the coordination of input and scale ratio is the key to determine the performance level of regional knowledge spillover. Thirdly, the rationalization of the input-output structure of regional innovation system knowledge spillover is an important part of the government's regional economic development.
【學位授予單位】：東北大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：F124.3;F224

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本文編號：1465823