技术获取型ODI对中国制造业产业升级的影响研究

发布时间：2018-01-24 07:13

本文关键词： 中国制造业技术获取型ODI 逆向溢出效应产业升级　出处：《北京交通大学》2013年硕士论文　论文类型：学位论文

【摘要】：技术创新一直是困扰我国制造业发展的主要瓶颈,技术的落后让中国制造业长期处于全球价值链中低端环节。中国制造业企业要实现自身的产业升级,提升在全球价值链中的地位,最关键的在于寻求制造技术的突破,提高中国制造的技术含量。由于目前我国制造业企业自身的研发实力、设备、人才等资源的局限,外部技术的获取成为企业技术提升的重要手段。近几年的研究发现,在诸多外部技术获取的途径中,技术获取型ODI成为发展中国家获取国际先进技术,打破产业发展技术瓶颈制约的较为理想的途径。因此,研究我国制造业企业开展技术获取型ODI对技术进步的影响这一问题,对于引导我国制造业更好地实现技术创新目标,促进产业的升级具有重要的意义。本文主要采用定性与定量分析相结合的方法进行分析。首先,在对相关理论综述的基础上,分析了技术获取型ODI对制造业产业升级的影响机理,包括两个层次：一是技术获取型ODI通过反向技术溢出效应促进母国制造业技术进步,二是技术的进步促进制造业产业的升级。针对机理分析的第二个层次,本文主要采用定性分析的方法,阐述技术进步对促进产业升级的重要作用。针对机理分析的第一个层次,本文采用了定量分析的方法,借鉴Coe和Helpman提出的国际RD溢出模型以及改进后的LP模型,构建了新的逆向技术溢出模型,模型加入了多个溢出渠道,即进出口、外商直接投资和对外直接投资的RD溢出作为本文自变量,然后分析这些变量对于制造业全要素生产率的影响,这也是本文的创新点之一。实证分析结果发现通过技术获取型ODI渠道产生的逆向技术溢出阻碍了制造业全要素生产率的提高,这与本文的预期相反。产生这一结果的原因,主要在于目前中国制造业开展技术获取型ODI存在很多不足,制造业企业的技术嵌入和吸收能力不足等。最后,针对上述的不足,本文从企业和国家两个层面提出了对策建议。
[Abstract]:Technological innovation has been the main bottleneck of the development of Chinese manufacturing industry. The backward technology has made the Chinese manufacturing industry in the low end of the global value chain for a long time. Chinese manufacturing enterprises want to achieve their own industrial upgrading. To improve the position in the global value chain, the most important thing is to seek for the breakthrough of manufacturing technology and to improve the technology content of Chinese manufacture, because of the R & D strength and equipment of Chinese manufacturing enterprises. Due to the limitation of talents and other resources, the acquisition of external technology has become an important means for enterprises to upgrade technology. In recent years, research has found that in many ways of external technology acquisition. Technology acquisition ODI has become an ideal way for developing countries to obtain international advanced technology and break the technological bottleneck of industrial development. It is of great significance to study the impact of technological acquisition ODI on technological progress in Chinese manufacturing enterprises. It is of great significance to guide our manufacturing industry to achieve better the goal of technological innovation and to promote the upgrading of industry. This paper mainly uses qualitative and quantitative analysis methods to analyze. Firstly, based on the review of relevant theories, this paper analyzes the impact mechanism of technology-acquired ODI on the upgrading of manufacturing industry. It includes two levels: one is that the technology acquisition ODI promotes the technology progress of the manufacturing industry through reverse technology spillover effect, the other is the technology progress to promote the upgrading of the manufacturing industry. This paper mainly uses the qualitative analysis method to expound the important role of technological progress in promoting industrial upgrading. In view of the first level of mechanism analysis, this paper adopts the method of quantitative analysis. Based on the international Rd spillover model proposed by Coe and Helpman and the improved LP model, a new reverse technology spillover model is constructed. The R D spillovers of FDI and OFDI are independent variables of this paper, and then analyze the impact of these variables on the total factor productivity of manufacturing. This is one of the innovations of this paper. Empirical analysis results show that the reverse technology spillover generated through the technology-acquired ODI channel hinders the improvement of total factor productivity of manufacturing industry. This is contrary to the expectation of this paper. The main reason for this result is that there are many shortcomings in the development of technology acquisition ODI in Chinese manufacturing industry at present, and the technology embedding and absorption capacity of manufacturing enterprises is insufficient. Finally. In view of the above deficiencies, this paper puts forward countermeasures and suggestions from the two levels of enterprise and country.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F224;F424.3;F832.6

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