【作者】 郑坚；

【导师】 冯英浚； 丁云龙；

【作者基本信息】 哈尔滨工业大学 ， 技术经济及管理， 2008， 博士

【摘要】 随着高技术产业的发展和技术创新投入产出的日益增长,技术创新成为决定高技术产业长期持续发展,影响区域经济增长和区域竞争力的关键因素。由于创新资源的投入规模往往受到区域经济发展水平、区域知识基础等客观条件的制约,因此,在既定的创新资源投入规模下,提高技术创新的投入产出效率成为提高创新产出的重要途径。而在提高技术创新效率的过程中,首先要解决的是如何评价高技术产业的技术创新效率问题。传统生产过程一般满足边际收益递减的规律,关于该规律在知识经济中是否同样适用,很多学者有不同的意见。已有学者从定性的角度讨论了知识和收益递增的关系以及知识经济中出现的边际收益递增现象。高技术产业技术创新具有明显的知识经济特点,因此,需要重新思考边际收益递减规律在高技术产业技术创新中是否具有普遍意义。DEA模型是效率评价的重要工具,该模型中生产可能集的凸性假设隐含边际收益递减或不变的前提,一旦所考察的对象出现边际收益递增的现象,所对应的生产可能集不满足凸性的要求,模型所确定的前沿面和实际不符,必然导致评价结果缺乏合理性,甚至隐蔽性地存在着严重的不合理评价。因此,有必要从定量的角度来研究边际收益特性的识别方法,探索边际收益递增特性下效率评价的新方法。本文针对上述问题展开研究,主要有以下内容:在明确界定相关核心概念的基础上,从投入产出的角度把高技术产业技术创新划分为技术开发阶段和技术转化阶段,相应地,把技术创新效率分解成技术开发效率和技术转化效率,并通过分析每个阶段的投入要素和产出成果,分阶段构建投入产出指标体系。针对DEA模型应用的局限性,提出创新可能集及相关概念,并在此基础上构造边际收益特性的识别方法和高技术产业技术创新效率的评价方法。创新可能集不受凸性假设约束,可以描述不同边际收益特性下的投入产出活动。创新前沿面反映创新活动的实际前沿,创新前沿面上投影点的产出能作为相应单元能达到的理想产出,因此,新的评价方法在边际收益递减、不变或者递增的特性下都能获得合理的评价结果。此外,通过对二阶段序列DEA模型的扩展,新的效率评价法不仅考虑每个阶段的边际收益特性,并且考虑系统内部各子系统效率及其对系统整体效率的影响程度。为了剔除区域禀赋对高技术产业技术创新的影响,通过借鉴Ruggiero的三阶段模型,本文还提出了考虑禀赋差异的效率评价方法。最后,从实证的角度分析高技术产业技术开发活动和技术转化活动的边际收益特性,并对我国各个地区的技术开发效率、技术转化效率和总体效率进行评价。研究表明,我国高技术产业在技术开发阶段出现边际收益递增的现象,新的评价方法突破了传统DEA模型在测算技术创新效率方面的局限性,提高了评价的合理性和科学性。因此,本文的研究为评价高技术产业技术创新效率提供了新的思路和方法,为提升我国各地区高技术产业技术创新效率、增强高技术产业竞争力提供理论参考和借鉴依据,具有一定的理论意义和现实意义。更多还原

【Abstract】 With the development of high-tech industry and the increasing inputs and outputs in the process of technological innovation, technological innovation becomes the key factors to determine the long-term sustained development of high-tech industry and influence regional economic growth and regional competitiveness. As the scale of innovation resources is often restricted to the objective conditions such as level of regional economic development, base of regional knowledge and so on, therefore, an important approach to increase innovation outputs is to improve the input-output efficiency of technological innovation in the condition of available input scale of innovative resources. First of all, we should to solve the problem that how to evaluate the technological innovation efficiency in the high-tech industry in the process of improving technological innovation efficiency.Generally speaking, traditional production process meets the law of decreasing marginal returns while many scholars have different views on whether or not it still works in the knowledge-based economy. Scholars have discussed the relationship between knowledge and return increasing and mentioned the phenomenon of increasing marginal returns in the knowledge-based economy from a qualitative point. The technological innovation in high-tech industry has obvious characteristics of knowledge-based economy; therefore, it’s necessary to reconsider if the law of decreasing marginal returns works universally in the technological innovation in high-tech industry innovation of. The DEA model is an important instrument to evaluate the efficiency, in which the convexity of feasible production sets implies a precondition of decreasing or unchanging marginal returns. If the phenomenon of increasing marginal returns exists for the research objects, the feasible production set doesn’t meet the convexity assumption so that the frontier decided by the DEA model will not accord the facts, which will lead to the unjust results and even result in a serious evaluation of the irrational. Therefore, it’s necessary to do some research on how to identify the marginal return characteristics from a quantitative point and explore a new method of efficiency evaluation in the condition of decreasing marginal returns. In this paper, we start the research according to above problems as following:After clearly defining the relative key conceptions, we decompose the high-tech innovation process into technological development process and technological transformation process from the input-output perspective. On this basis, technological innovation efficiency can be decomposed into technological development efficiency and technological transformation efficiency. We also analyze the input factors and out factors and design the input-output index systems in each stage respectively.According to the limitation in DEA application, we present the interrelated conceptions of feasible innovation sets. Base on these conceptions, we present the methods to identify the marginal return characteristics and to evaluate the technological innovation efficiency in high-tech industry. The feasible innovation sets has no restriction of convexity so that it describe the input-output activities in conditions of various characteristics of marginal returns. The innovation frontier reflects the actual frontier of innovation activities and the outputs of the projections can respect the optimum outputs the units can achieve so that the new evaluation methods can apply not only to condition of decreasing or unchanging marginal returns but also to condition of increasing marginal returns. In addition, through the expansion of two-stage sequence DEA model, the new evaluation method can not only consider the marginal return characteristics in each stage but also consider the impact of the internal structure in technological innovation in the whole process. In order to eliminate the influence of regional gifts on the technological innovation in the high-tech industry, we develop a new new model to evaluate the efficiency based on the three-steps model given by Ruggiero.Finally, we analyze the characteristic of marginal returns in each stage and also acquire technological development efficiency, technological transformation efficiency and overall efficiency for each region in each year in the empirical research.The research shows that marginal returns are constant in smaller scale and marginal returns are incremental in larger scale at technological development stage and there no characteristics of increasing marginal returns at technological transformation stage. The new evaluation method conquer the shortage of traditional DEA model evaluating technological innovation efficiency so that the results is more rationale and scientific. Therefore, the research we have done is meaningful in theory and practice, which provide a new idea and method about the issues of efficiency evaluation of technological innovation in high-tech industry and provide some theoretical and practical references to improve the technological innovation efficiency and increase the competitiveness in high-tech industry.更多还原