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

【摘要】：內(nèi)蒙古一直以來主要依靠煤炭、土地等資源要素投入拉動經(jīng)濟增長,創(chuàng)新主體缺乏活力,內(nèi)生性創(chuàng)新落后,導致對物質(zhì)和資金投入的過分依賴。而現(xiàn)在支撐我區(qū)經(jīng)濟發(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)動轉(zhuǎn)向創(chuàng)新驅(qū)動成為發(fā)展的必然選擇。因此,實施創(chuàng)新驅(qū)動發(fā)展戰(zhàn)略成為了內(nèi)蒙古經(jīng)濟持續(xù)健康發(fā)展的關(guān)鍵。評估內(nèi)蒙古創(chuàng)新驅(qū)動效能,厘清影響創(chuàng)新驅(qū)動經(jīng)濟增長的因素,“對癥下藥”,對內(nèi)蒙古經(jīng)濟發(fā)展有著重要的現(xiàn)實意義。通過理論分析、現(xiàn)狀分析和實證分析對內(nèi)蒙古創(chuàng)新驅(qū)動效能進行評價,并對影響因素深入剖析,最后就內(nèi)蒙古創(chuàng)新驅(qū)動發(fā)展提出相應對策。首先對研究目的、意義和思路進行闡述,并對相關(guān)經(jīng)濟增長理論和創(chuàng)新驅(qū)動理論進行梳理評述,為進一步研究提供理論基礎;其次從創(chuàng)新投入、知識創(chuàng)新能力、創(chuàng)新環(huán)境、創(chuàng)新產(chǎn)出等角度對內(nèi)蒙古發(fā)展現(xiàn)狀進行分析;再次結(jié)合理論與內(nèi)蒙古實際情況,以創(chuàng)新驅(qū)動視角選取相關(guān)指標,從兩個階段來進行實證分析。第一階段:將全要素生產(chǎn)率(TFP)作為創(chuàng)新驅(qū)動效能評價的總指標,以柯布道格拉斯生產(chǎn)函數(shù)為基礎,運用狀態(tài)空間模型(state space model),測算出1996-2015年全要素生產(chǎn)率的增長率,并計算資本投入、勞動投入和TFP增長率對經(jīng)濟增長的貢獻率。結(jié)果表明1996-2015年期間內(nèi)蒙古經(jīng)濟發(fā)展主要依靠資本要素的投入來實現(xiàn),資本投入平均增長率超過20%,平均貢獻率接近60%,勞動平均增長率較低,平均貢獻率在10%以下。而TFP的增長率和GDP增長率具有較一致的變化趨勢,其平均貢獻率超過30%,說明隨著經(jīng)濟的不斷增長,全要素生產(chǎn)率的增長在推動內(nèi)蒙古經(jīng)濟發(fā)展過程中所起到的作用越來越重要。第二階段:對影響創(chuàng)新驅(qū)動效能的因素進行分析。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,選取科技活動人員、研究與試驗發(fā)展全時人員等16個觀測變量,通過SmartPLS3.0軟件進行路徑系統(tǒng)分析,驗證各潛變量之間、潛變量與觀測變量的假設關(guān)系。結(jié)果表明四個外生潛變量對科技與產(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�？萍紕�(chuàng)新投入能力和科技創(chuàng)新環(huán)境分別與知識創(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)動發(fā)展的具體觀測指標。最后在以上分析的基礎上提出推動內(nèi)蒙古實施創(chuàng)新驅(qū)動發(fā)展戰(zhàn)略的對策和建議。
[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.
【學位授予單位】：內(nèi)蒙古工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：F127

【參考文獻】

相關(guān)期刊論文 前10條

1 劉曉華;王鼎;;內(nèi)蒙古實施創(chuàng)新驅(qū)動戰(zhàn)略的難點與對策研究[J];內(nèi)蒙古科技與經(jīng)濟;2016年14期

2 周松蘭;;韓國LED產(chǎn)業(yè)自主創(chuàng)新模式研究[J];科技管理研究;2015年24期

3 魏亞平;賈志慧;;創(chuàng)新型城市創(chuàng)新驅(qū)動要素評價研究[J];科技管理研究;2014年19期

4 龐瑞芝;范玉;李揚;;中國科技創(chuàng)新支撐經(jīng)濟發(fā)展了嗎?[J];數(shù)量經(jīng)濟技術(shù)經(jīng)濟研究;2014年10期

5 趙志耘;;創(chuàng)新驅(qū)動發(fā)展:從需求端走向供給端[J];中國軟科學;2014年08期

6 馮欣;于江霞;;基于灰色關(guān)聯(lián)分析法的陜西省科技創(chuàng)新能力評價[J];經(jīng)營管理者;2014年24期

7 吳優(yōu);李文江;丁華;左新兵;;創(chuàng)新驅(qū)動發(fā)展評價指標體系構(gòu)建[J];開放導報;2014年04期

8 王濤;邱國棟;;創(chuàng)新驅(qū)動戰(zhàn)略的“雙向驅(qū)動”效用研究[J];技術(shù)經(jīng)濟與管理研究;2014年06期

9 上海財經(jīng)大學課題組;徐國祥;;上�！皠�(chuàng)新驅(qū)動,轉(zhuǎn)型發(fā)展”評價指標體系研究[J];科學發(fā)展;2014年05期

10 盛朝迅;;發(fā)達國家創(chuàng)新驅(qū)動產(chǎn)業(yè)升級的經(jīng)驗與啟示[J];中國經(jīng)貿(mào)導刊;2014年06期

相關(guān)博士學位論文 前2條

1 耿迪;高�？萍紕�(chuàng)新能力評價研究[D];武漢理工大學;2013年

2 任軍;內(nèi)蒙古經(jīng)濟增長的動力機制研究[D];吉林大學;2008年

相關(guān)碩士學位論文 前6條

1 何秀玲;科技創(chuàng)新與晉江市產(chǎn)業(yè)結(jié)構(gòu)優(yōu)化升級研究[D];福建農(nóng)林大學;2014年

2 尤丹君;京津冀區(qū)域科技創(chuàng)新能力評價研究[D];河北經(jīng)貿(mào)大學;2014年

3 李晶慧;河南省科技創(chuàng)新能力評價及對策研究[D];西安科技大學;2013年

4 范維;陜西省科技創(chuàng)新能力評價研究[D];西安科技大學;2009年

5 胡蓬瑋;行業(yè)技術(shù)創(chuàng)新績效差異及影響因素研究[D];大連理工大學;2007年

6 紀珊珊;京津冀區(qū)域創(chuàng)新能力評價研究[D];燕山大學;2007年

，

本文編號：1668593