内蒙古创新驱动的效能评价与影响因素研究

发布时间：2018-03-26 16:12

本文选题：内蒙古　切入点：创新驱动　出处：《内蒙古工业大学》2017年硕士论文

【摘要】：内蒙古一直以来主要依靠煤炭、土地等资源要素投入拉动经济增长,创新主体缺乏活力,内生性创新落后,导致对物质和资金投入的过分依赖。而现在支撑我区经济发展的要素条件正在发生变化,以往的粗放型发展模式难以为继,传统的要素驱动转向创新驱动成为发展的必然选择。因此,实施创新驱动发展战略成为了内蒙古经济持续健康发展的关键。评估内蒙古创新驱动效能,厘清影响创新驱动经济增长的因素,“对症下药”,对内蒙古经济发展有着重要的现实意义。通过理论分析、现状分析和实证分析对内蒙古创新驱动效能进行评价,并对影响因素深入剖析,最后就内蒙古创新驱动发展提出相应对策。首先对研究目的、意义和思路进行阐述,并对相关经济增长理论和创新驱动理论进行梳理评述,为进一步研究提供理论基础;其次从创新投入、知识创新能力、创新环境、创新产出等角度对内蒙古发展现状进行分析;再次结合理论与内蒙古实际情况,以创新驱动视角选取相关指标,从两个阶段来进行实证分析。第一阶段:将全要素生产率(TFP)作为创新驱动效能评价的总指标,以柯布道格拉斯生产函数为基础,运用状态空间模型(state space model),测算出1996-2015年全要素生产率的增长率,并计算资本投入、劳动投入和TFP增长率对经济增长的贡献率。结果表明1996-2015年期间内蒙古经济发展主要依靠资本要素的投入来实现,资本投入平均增长率超过20%,平均贡献率接近60%,劳动平均增长率较低,平均贡献率在10%以下。而TFP的增长率和GDP增长率具有较一致的变化趋势,其平均贡献率超过30%,说明随着经济的不断增长,全要素生产率的增长在推动内蒙古经济发展过程中所起到的作用越来越重要。第二阶段:对影响创新驱动效能的因素进行分析。构建结构方程分析模型:选取科技与产业创新能力作为内生潜变量,科技创新投入能力、知识创新能力、科技创新环境、科技创新产出能力为外生潜变量,选取科技活动人员、研究与试验发展全时人员等16个观测变量,通过SmartPLS3.0软件进行路径系统分析,验证各潜变量之间、潜变量与观测变量的假设关系。结果表明四个外生潜变量对科技与产业创新能力均呈现出正相关性,路径相关系数依次为0.082、0.273、0.468、0.190。科技创新投入能力和科技创新环境分别与知识创新能力呈正相关性,路径系数依次为0.315、0.668,之后由因子载荷分析观测变量与各潜变量的关系,找出改善内蒙古创新驱动发展的具体观测指标。最后在以上分析的基础上提出推动内蒙古实施创新驱动发展战略的对策和建议。
[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.
【学位授予单位】：内蒙古工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F127

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