本文選題：廣東省 + 大中型工業(yè)企業(yè)�。� 參考：《華南理工大學(xué)》2013年碩士論文

【摘要】：大中型工業(yè)企業(yè)是我國(guó)經(jīng)濟(jì)發(fā)展中的重要支柱力量，而廣東又是我國(guó)第一經(jīng)濟(jì)大省，伴隨著各個(gè)地區(qū)的經(jīng)濟(jì)在金融危機(jī)中逐漸復(fù)蘇，技術(shù)創(chuàng)新已成為決定地區(qū)大中型工業(yè)企業(yè)持續(xù)快速發(fā)展，影響區(qū)域經(jīng)濟(jì)增長(zhǎng)與區(qū)域綜合競(jìng)爭(zhēng)力的關(guān)鍵因素。如何才能認(rèn)清廣東技術(shù)創(chuàng)新效率的現(xiàn)狀，加快技術(shù)創(chuàng)新的步伐，提高技術(shù)創(chuàng)新效率，使廣東從制造大省轉(zhuǎn)變?yōu)橐钥萍歼M(jìn)步為依托的創(chuàng)新強(qiáng)省，轉(zhuǎn)變廣東大中型工業(yè)企業(yè)的經(jīng)濟(jì)增長(zhǎng)方式，已經(jīng)成為目前要研究的重要課題。 論文在深入分析前人研究和相關(guān)理論的基礎(chǔ)上，主要在兩個(gè)方面有所創(chuàng)新：一是建立了針對(duì)技術(shù)創(chuàng)新系統(tǒng)的混聯(lián)網(wǎng)絡(luò)DEA模型，打開(kāi)了技術(shù)創(chuàng)新過(guò)程這個(gè)“黑箱”；二是設(shè)計(jì)出針對(duì)混聯(lián)創(chuàng)新系統(tǒng)的一整套分階段的投入產(chǎn)出指標(biāo)體系對(duì)廣東省技術(shù)創(chuàng)新效率進(jìn)行了評(píng)價(jià)。然后，本文以算出的技術(shù)創(chuàng)新效率結(jié)果為基礎(chǔ)分別從創(chuàng)新資源配置、市場(chǎng)結(jié)構(gòu)和制度環(huán)境三方面提出了影響廣東大中型工業(yè)企業(yè)技術(shù)創(chuàng)新效率的八個(gè)測(cè)度變量，，并運(yùn)用Tobit回歸模型對(duì)影響技術(shù)創(chuàng)新效率的八個(gè)主要因素進(jìn)行了測(cè)度和分析。本文實(shí)證結(jié)果表明： 混聯(lián)網(wǎng)絡(luò)DEA模型在效率評(píng)價(jià)上鑒別能力更強(qiáng)，也能更好的反映混聯(lián)創(chuàng)新系統(tǒng)的前沿生產(chǎn)能力；廣東的技術(shù)轉(zhuǎn)化效率要高于技術(shù)研發(fā)效率，而導(dǎo)致技術(shù)研發(fā)效率較低的原因在于規(guī)模效率較低，導(dǎo)致技術(shù)轉(zhuǎn)化效率不高的原因是由于純技術(shù)效率較低；在本文模型下測(cè)算的廣東的系統(tǒng)效率值相對(duì)于傳統(tǒng)模型，排名出現(xiàn)了下滑，究其原因主要是兩個(gè)子系統(tǒng)間的協(xié)調(diào)效率較低。 研發(fā)投資強(qiáng)度、企業(yè)成長(zhǎng)能力、市場(chǎng)集中度、對(duì)外開(kāi)放程度、政府的科技投入增加對(duì)技術(shù)創(chuàng)新效率的提高起促進(jìn)作用；企業(yè)資產(chǎn)規(guī)模、國(guó)有企業(yè)比重的增加實(shí)際上卻對(duì)技術(shù)創(chuàng)新效率的提高起到了反作用；人力資本投入存在浪費(fèi)并且效率低下，沒(méi)有對(duì)技術(shù)創(chuàng)新效率的提升起到顯著正向作用，人才的創(chuàng)新積極性和作用并沒(méi)有被有效發(fā)揮。
[Abstract]:Large and medium-sized industrial enterprises are an important pillar in the economic development of our country, and Guangdong is also the largest economic province in China. With the gradual recovery of the economy in various regions in the financial crisis, Technological innovation has become a key factor that determines the sustained and rapid development of regional large and medium-sized industrial enterprises and affects regional economic growth and regional comprehensive competitiveness. How can we recognize the present situation of Guangdong's technological innovation efficiency, speed up the pace of technological innovation, improve the efficiency of technological innovation, and transform Guangdong from a major manufacturing province into a strong province of innovation based on scientific and technological progress? Changing the economic growth mode of Guangdong large and medium-sized industrial enterprises has become an important subject to be studied. On the basis of in-depth analysis of previous studies and related theories, this paper mainly innovates in two aspects: first, a hybrid network DEA model for technological innovation system is established, which opens the "black box" of technological innovation process; The second is to design a set of input-output index system to evaluate the efficiency of technological innovation in Guangdong province. Then, based on the calculated results of technological innovation efficiency, this paper puts forward eight measurement variables that affect the technological innovation efficiency of Guangdong large and medium-sized industrial enterprises from three aspects: the allocation of innovative resources, the market structure and the institutional environment. Tobit regression model is used to measure and analyze the eight main factors that affect the efficiency of technological innovation. The empirical results show that: The DEA model of hybrid network is more effective in efficiency evaluation and can better reflect the advanced production capacity of hybrid innovation system, and the efficiency of technology transformation in Guangdong is higher than that of technology research and development. The reason for the low efficiency of technology research and development lies in the low efficiency of scale, and the reason of the low efficiency of technology transformation is the low efficiency of pure technology. Ranking has declined, the main reason for the two subsystems between the coordination efficiency is low. The intensity of R & D investment, the ability of enterprise growth, the degree of market concentration, the degree of opening to the outside world, and the increase of government investment in science and technology play an important role in improving the efficiency of technological innovation. In fact, the increase of the proportion of state-owned enterprises is counterproductive to the improvement of the efficiency of technological innovation; the investment of human capital is wasteful and inefficient, and it does not play a significant positive role in improving the efficiency of technological innovation. The innovative enthusiasm and role of talents have not been effectively brought into play.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：F273.1;F427

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