我国战略性新兴产业各行业技术效率及影响因素分析

发布时间：2018-01-07 03:03

本文关键词：我国战略性新兴产业各行业技术效率及影响因素分析　出处：《辽宁大学》2015年硕士论文　论文类型：学位论文

【摘要】：自进入20世纪90年代以来,我国的经济实现了高速增长。但是08年的全球金融危机让人们意识我国目前的粗放型的经济增长动力已经不能持续的给国家经济注入动力。经济转型、优化产业结构已迫在眉睫。在此背景下我国提出发展战略性新兴产业,确定重点发展产业为新一代信息技术、新能源、生物技术、新能源汽车、节能环保、高端装备制造及新材料。本文基于DEA-Tobit两阶段法,从战略性新兴产业上市公司的角度对七大产业下细分29个行业的技术效率及影响因素进行分析。结果得出节能电力电子设备、3D领域、风电、智能电网、节能建材、生物医药、锂电池、稀土功能材料、整车这9个行业的综合技术效率为1,其他行业均存在不同程度的无效状况。本文还对各公司的技术效率情况进行分析,并给出了如何提高技术效率的建议。在影响企业综合技术效率的因素方面,本文选定资产负债率、企业规模、第一大股东持股、员工受教育程度和管理水平这5个指标来讨论,最终通过Tobit回归分析得出企业规模、资产负债率和员工受教育程度对企业的综合技术效率有显著性的影响,并且这三个影响因素与企业技术效率呈现正相关性。
[Abstract]:Since 1990s. China's economy has achieved rapid growth. But the 2008 global financial crisis has made people aware of the current extensive economic growth momentum has been unable to continue to inject power into the national economy. Economic transformation. It is urgent to optimize the industrial structure. In this context, our country proposes to develop strategic emerging industries, determine the key industries for the new generation of information technology, new energy, biotechnology, new energy vehicles, energy conservation and environmental protection. High-end equipment manufacturing and new materials. This paper is based on DEA-Tobit two-stage method. From the perspective of listed companies of strategic emerging industries, the technical efficiency and influencing factors of 29 industries subdivided under the seven major industries are analyzed. The results show that energy saving power electronic equipment can be used in 3D field, wind power generation and smart grid. Energy saving building materials, biomedicine, lithium batteries, rare earth functional materials, the vehicle of these nine industries comprehensive technical efficiency of 1. Other industries have different degrees of invalidity. This paper also analyzes the technical efficiency of each company, and gives some suggestions on how to improve the technical efficiency. This paper selects the asset-liability ratio, enterprise size, the largest shareholder shareholding, employee education level and management level to discuss these five indicators, and finally through Tobit regression analysis to get the enterprise size. The ratio of assets and liabilities and the level of employee education have a significant influence on the comprehensive technical efficiency of the enterprise, and these three factors have a positive correlation with the technical efficiency of the enterprise.
【学位授予单位】：辽宁大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F276.44

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