科技服务业技术效率与影响因素分析

发布时间：2018-03-07 05:38

本文选题：科技服务业　切入点：技术效率　出处：《西北大学》2017年硕士论文　论文类型：学位论文

【摘要】：科技服务业作为当前社会的新兴产业,它运用现代科技知识和手段向社会各界提供智力服务,是推动产业升级优化的关键产业,也是现代服务业重要组成部分。当前我国经济面临下行压力,创新驱动经济转型已经成为决策共识,在此背景下,科技服务业作为创新的载体作用逐渐受到重视。因此,学界有关科技服务业的研究逐渐变多,但是有关科技服务业效率问题的研究较少,科技要素的稀缺性使得科技服务业亟需通过效率研究得以实现。基于此,本文从效率角度对科技产业的发展状况进行探讨,并分析对该产业技术效率的影响因素。本文选取该产业138家上市企业10年间投入产出数据进行研究,通过数据包络分析法中BC2模型测算技术效率及两个分解指标纯技术效率和规模效率值。得出结论有:科技服务业区域分布明显,东南沿海地区集聚程度较高;产业当前技术效率还比较低,均值仅为0.482;纯技术效率和规模效率均值分别为0.541和0.898,因此技术效率增长受纯技术效率拖累较大。为进一步探讨产业技术效率影响因素,建立多元回归模型,结果发现:仅有企业健康状况与收益质量两项对技术效率起到了抑制作用。将技术效率分解开来探讨,企业健康状况与收益质量对纯技术效率提升有阻碍作用;企业经营质量和资本利用率对规模效率提升有阻碍作用。在所有权的分组回归中,分析结果表明:(1)企业扩张能力阻碍了国有企业技术效率提高,却对私有企业和外资企业有促进作用;(2)收益质量和企业扩张能力这两个因素对国有企业纯技术效率提高有阻碍作用,却对私有企业和外资企业有促进作用;(3)在规模效率方面,企业经营质量阻碍了国有企业和外资企业提高,却对私有企业有促进作用;收益质量、企业扩张能力、资产增值能力促进了国有企业规模增长,却阻碍了私有企业和外资企业扩张。
[Abstract]:Science and technology service industry, as a new industry in the current society, uses modern scientific and technological knowledge and means to provide intellectual services to all walks of life. It is a key industry to promote industrial upgrading and optimization. It is also an important part of modern service industry. At present, China's economy is facing downward pressure, innovation driven economic transformation has become the consensus of decision-making, in this context, the scientific and technological service industry as a carrier of innovation has gradually been attached importance to. There are more and more researches on science and technology service industry, but there are few researches on the efficiency of science and technology service industry, and the scarcity of scientific and technological elements makes it urgent to realize the scientific and technological service industry through efficiency research. This paper discusses the development of science and technology industry from the point of view of efficiency, and analyzes the influencing factors of the technology efficiency of this industry. This paper selects 138 listed enterprises in this industry to study the input-output data in 10 years. The BC2 model is used to measure the technical efficiency and the pure technical efficiency and scale efficiency of the two decomposition indexes in the data envelopment analysis. The conclusions are as follows: the regional distribution of science and technology service industry is obvious and the agglomeration degree of southeast coastal area is higher; The current technological efficiency of the industry is still relatively low, the average value is only 0.482.The average of pure technical efficiency and scale efficiency are 0.541 and 0.898, respectively. Therefore, the technical efficiency growth is greatly affected by pure technical efficiency. A multivariate regression model is established. The results show that only two factors, health status and profit quality, can inhibit the technical efficiency. The health status and income quality of enterprises hinder the improvement of pure technical efficiency, and the quality of business operation and the utilization of capital hinder the improvement of scale efficiency. The results show that the expansion ability of enterprises hinders the improvement of technological efficiency of state-owned enterprises. However, these two factors, namely, the quality of revenue and the ability of enterprises to expand, hinder the improvement of the pure technical efficiency of state-owned enterprises, but promote the efficiency of private enterprises and foreign-funded enterprises in terms of scale efficiency. The quality of enterprise management hinders the improvement of state-owned enterprises and foreign-funded enterprises, but promotes the private enterprises; the quality of revenue, the ability of enterprises to expand, and the ability to increase the value of assets promote the scale growth of state-owned enterprises. But it has blocked the expansion of private and foreign companies.
【学位授予单位】：西北大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F719

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