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內(nèi)蒙古創(chuàng)新驅(qū)動(dòng)的效能評(píng)價(jià)與影響因素研究

發(fā)布時(shí)間:2018-03-26 16:12

  本文選題:內(nèi)蒙古 切入點(diǎn):創(chuàng)新驅(qū)動(dòng) 出處:《內(nèi)蒙古工業(yè)大學(xué)》2017年碩士論文


【摘要】:內(nèi)蒙古一直以來(lái)主要依靠煤炭、土地等資源要素投入拉動(dòng)經(jīng)濟(jì)增長(zhǎng),創(chuàng)新主體缺乏活力,內(nèi)生性創(chuàng)新落后,導(dǎo)致對(duì)物質(zhì)和資金投入的過(guò)分依賴。而現(xiàn)在支撐我區(qū)經(jīng)濟(jì)發(fā)展的要素條件正在發(fā)生變化,以往的粗放型發(fā)展模式難以為繼,傳統(tǒng)的要素驅(qū)動(dòng)轉(zhuǎn)向創(chuàng)新驅(qū)動(dòng)成為發(fā)展的必然選擇。因此,實(shí)施創(chuàng)新驅(qū)動(dòng)發(fā)展戰(zhàn)略成為了內(nèi)蒙古經(jīng)濟(jì)持續(xù)健康發(fā)展的關(guān)鍵。評(píng)估內(nèi)蒙古創(chuàng)新驅(qū)動(dòng)效能,厘清影響創(chuàng)新驅(qū)動(dòng)經(jīng)濟(jì)增長(zhǎng)的因素,“對(duì)癥下藥”,對(duì)內(nèi)蒙古經(jīng)濟(jì)發(fā)展有著重要的現(xiàn)實(shí)意義。通過(guò)理論分析、現(xiàn)狀分析和實(shí)證分析對(duì)內(nèi)蒙古創(chuàng)新驅(qū)動(dòng)效能進(jìn)行評(píng)價(jià),并對(duì)影響因素深入剖析,最后就內(nèi)蒙古創(chuàng)新驅(qū)動(dòng)發(fā)展提出相應(yīng)對(duì)策。首先對(duì)研究目的、意義和思路進(jìn)行闡述,并對(duì)相關(guān)經(jīng)濟(jì)增長(zhǎng)理論和創(chuàng)新驅(qū)動(dòng)理論進(jìn)行梳理評(píng)述,為進(jìn)一步研究提供理論基礎(chǔ);其次從創(chuàng)新投入、知識(shí)創(chuàng)新能力、創(chuàng)新環(huán)境、創(chuàng)新產(chǎn)出等角度對(duì)內(nèi)蒙古發(fā)展現(xiàn)狀進(jìn)行分析;再次結(jié)合理論與內(nèi)蒙古實(shí)際情況,以創(chuàng)新驅(qū)動(dòng)視角選取相關(guān)指標(biāo),從兩個(gè)階段來(lái)進(jìn)行實(shí)證分析。第一階段:將全要素生產(chǎn)率(TFP)作為創(chuàng)新驅(qū)動(dòng)效能評(píng)價(jià)的總指標(biāo),以柯布道格拉斯生產(chǎn)函數(shù)為基礎(chǔ),運(yùn)用狀態(tài)空間模型(state space model),測(cè)算出1996-2015年全要素生產(chǎn)率的增長(zhǎng)率,并計(jì)算資本投入、勞動(dòng)投入和TFP增長(zhǎng)率對(duì)經(jīng)濟(jì)增長(zhǎng)的貢獻(xiàn)率。結(jié)果表明1996-2015年期間內(nèi)蒙古經(jīng)濟(jì)發(fā)展主要依靠資本要素的投入來(lái)實(shí)現(xiàn),資本投入平均增長(zhǎng)率超過(guò)20%,平均貢獻(xiàn)率接近60%,勞動(dòng)平均增長(zhǎng)率較低,平均貢獻(xiàn)率在10%以下。而TFP的增長(zhǎng)率和GDP增長(zhǎng)率具有較一致的變化趨勢(shì),其平均貢獻(xiàn)率超過(guò)30%,說(shuō)明隨著經(jīng)濟(jì)的不斷增長(zhǎng),全要素生產(chǎn)率的增長(zhǎng)在推動(dòng)內(nèi)蒙古經(jīng)濟(jì)發(fā)展過(guò)程中所起到的作用越來(lái)越重要。第二階段:對(duì)影響創(chuàng)新驅(qū)動(dòng)效能的因素進(jìn)行分析。構(gòu)建結(jié)構(gòu)方程分析模型:選取科技與產(chǎn)業(yè)創(chuàng)新能力作為內(nèi)生潛變量,科技創(chuàng)新投入能力、知識(shí)創(chuàng)新能力、科技創(chuàng)新環(huán)境、科技創(chuàng)新產(chǎn)出能力為外生潛變量,選取科技活動(dòng)人員、研究與試驗(yàn)發(fā)展全時(shí)人員等16個(gè)觀測(cè)變量,通過(guò)SmartPLS3.0軟件進(jìn)行路徑系統(tǒng)分析,驗(yàn)證各潛變量之間、潛變量與觀測(cè)變量的假設(shè)關(guān)系。結(jié)果表明四個(gè)外生潛變量對(duì)科技與產(chǎn)業(yè)創(chuàng)新能力均呈現(xiàn)出正相關(guān)性,路徑相關(guān)系數(shù)依次為0.082、0.273、0.468、0.190。科技創(chuàng)新投入能力和科技創(chuàng)新環(huán)境分別與知識(shí)創(chuàng)新能力呈正相關(guān)性,路徑系數(shù)依次為0.315、0.668,之后由因子載荷分析觀測(cè)變量與各潛變量的關(guān)系,找出改善內(nèi)蒙古創(chuàng)新驅(qū)動(dòng)發(fā)展的具體觀測(cè)指標(biāo)。最后在以上分析的基礎(chǔ)上提出推動(dòng)內(nèi)蒙古實(shí)施創(chuàng)新驅(qū)動(dòng)發(fā)展戰(zhàn)略的對(duì)策和建議。
[Abstract]:In Inner Mongolia, economic growth has been driven mainly by the input of resources such as coal and land. The main body of innovation lacks vitality and endogenous innovation lags behind. This has led to excessive dependence on material and capital investment. Now the essential factors that support the economic development of our region are changing, and the old extensive development model is difficult to sustain. Therefore, the implementation of innovation-driven development strategy has become the key to sustainable and healthy economic development in Inner Mongolia. It is of great practical significance to clarify the factors that influence the economic growth driven by innovation and to find the right remedy for the economic development of Inner Mongolia. Through theoretical analysis, current situation analysis and empirical analysis, the paper evaluates the innovation-driven effectiveness of Inner Mongolia. Finally, the author puts forward the corresponding countermeasures to the innovation driven development in Inner Mongolia. Firstly, the purpose, significance and thinking of the research are expounded, and the relevant theories of economic growth and innovation drive are reviewed. To provide a theoretical basis for further research; secondly, from the perspective of innovation input, knowledge innovation ability, innovation environment, innovation output and other angles to analyze the current development of Inner Mongolia; again combined with the theory and the actual situation of Inner Mongolia, In the first stage, TFP is taken as the total index of innovation-driven effectiveness evaluation, based on Cobb Douglas production function. The state space model is used to calculate the growth rate of total factor productivity (TFP) from 1996 to 2015, and to calculate the capital input. The contribution of labor input and TFP growth rate to economic growth. The results show that the economic development of Inner Mongolia from 1996 to 2015 mainly depends on the investment of capital elements. The average growth rate of capital input is more than 20%, the average contribution rate is close to 60%, the average labor growth rate is low, the average contribution rate is below 10%. Its average contribution rate is more than 30 percent, indicating that as the economy continues to grow, The growth of total factor productivity (TFP) plays a more and more important role in promoting the economic development of Inner Mongolia. The second stage is to analyze the factors that influence the efficiency of innovation drive. Technology and industry innovation ability as endogenous latent variable, Scientific and technological innovation input ability, knowledge innovation ability, science and technology innovation environment, science and technology innovation output ability as exogenous latent variables, select scientific and technological activists, research and experimental development full-time personnel and other 16 observation variables, The path system analysis with SmartPLS3.0 software is carried out to verify the hypothetical relationship between the latent variables and the observed variables. The results show that the four exogenous latent variables are positively correlated to the technological and industrial innovation ability. The path correlation coefficient is 0.082 / 0.273n / 0.468 / 0.190. The relationship between input capacity and environment of scientific and technological innovation is positively correlated with knowledge innovation ability, and the path coefficient is 0.315 / 0.668 respectively. Then, the relationship between observed variables and latent variables is analyzed by factor load analysis. Finally, on the basis of the above analysis, the author puts forward the countermeasures and suggestions to promote the implementation of innovation-driven development strategy in Inner Mongolia.
【學(xué)位授予單位】:內(nèi)蒙古工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:F127

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