生产性服务业对制造业全要素生产率影响的实证研究

发布时间：2018-03-03 22:06

本文选题：生产性服务业　切入点：全要素生产率　出处：《广西大学》2017年硕士论文　论文类型：学位论文

【摘要】：现阶段我国制造业面临着发达国家和新兴经济体的双重挤压、低成本优势快速递减和新竞争优势尚未形成的两难局面,传统的依赖投资及外需支持的制造业已越来越不具有竞争优势,如何有效提升制造业全要素生产率,实现产业结构的优化升级已成为亟待解决的问题。伴随着专业分工的深化,生产性服务业将会发挥其增加制造业知识技术和人力资本密度功能的作用,增加产品的附加值,降低生产过程中各环节的协调成本,提高生产效率,成为制造业增长的新动力。我国制造业应当充分认识到生产性服务业高附加值、高技术性、高辐射等特点,通过利用外部专业化生产性服务的投入优化生产结构和提升效率。本文基于要素投入视角,利用我国2002年、2005年、2007年、2010年和2012年42部门投入产出表数据,根据直接消耗系数构造的服务投入率来衡量制造业生产过程中生产性服务的投入水平,采用DEA-Malmquist生产率指数对我国制造业的全要素生产率进行测算。与以往的研究不同,考虑到行业异质性的影响,本文将制造业细分为劳动密集型制造业、资本密集型制造业和技术密集型制造业三类,分别构造静态面板数据模型检验生产性服务的投入对劳动密集型制造业、资本密集型制造业、技术密集型制造业全要素生产率的影响。结果显示生产性服务的投入对制造业不同类型行业的全要素生产率影响不同:劳动密集型制造业服务投入率每提高1个百分点,将使行业全要素生产率上升0.2564个百分点,说明生产性服务的投入加深了劳动密集型制造业各部门之间的工艺流程的分工合作,降低了价值链各环节的协调成本,提高了全要素生产率;生产性服务的投入对资本密集型制造业全要素生产率的影响为正,但这种正向影响并不显著。而技术密集型制造业服务投入率每提高1个百分点,将使全要素生产率下降0.2894个百分点,这主要是因为技术密集型制造业对于对研发、设计、综合技术服务等高级化的生产性服务的外部需求得不到满足,选择生产性服务内部化的生产组织模式挤占了制造企业可以用来发展生产工艺、进行技术创新、提高生产效率的资源,不利于生产效率的提高。根据实证分析结果,本文为制造业通过投入生产性服务促进全要素生产率的提升提出了以下几点政策建议:一方面,要完善生产性服务业内部结构;另一方面,要加强生产性服务业与制造业的融合发展。
[Abstract]:At the present stage, China's manufacturing industry is facing a dilemma of double squeezing between developed countries and emerging economies, the rapid decline of low-cost advantages and the unformed new competitive advantages. The traditional manufacturing industry relying on investment and external demand has no competitive advantage. How to effectively improve the total factor productivity of manufacturing industry and realize the optimization and upgrading of industrial structure has become an urgent problem to be solved, along with the deepening of professional division of labor. Producer services will play its role in increasing the knowledge, technology and human capital density of manufacturing, increasing the added value of products, reducing the cost of coordination in all aspects of the production process, and improving production efficiency. China's manufacturing industry should be fully aware of the characteristics of high value-added, high-technology and high-radiation producer services. By using the input of the external specialized productive services to optimize the production structure and enhance the efficiency, this paper, from the perspective of factor input, makes use of the input-output table data of 2002, 2005, 2007, 2007 and #date#time42 in China. According to the service input rate constructed by the direct consumption coefficient, the DEA-Malmquist productivity index is used to measure the total factor productivity of manufacturing industry in China. Considering the influence of industry heterogeneity, this paper subdivides manufacturing into three categories: labor-intensive manufacturing, capital-intensive manufacturing and technology-intensive manufacturing. The static panel data model is constructed to test the input of productive services to labor-intensive manufacturing, capital-intensive manufacturing, The results show that the input of productive services has different effects on the total factor productivity of different types of manufacturing industries: each increase in the input rate of labor-intensive manufacturing services by one percentage point, It will increase the total factor productivity of the industry by 0.2564 percentage points, indicating that the input of productive services deepens the division of work and cooperation among the various sectors of the labor-intensive manufacturing industry, and reduces the coordination costs of the various links in the value chain. Increased total factor productivity; the positive impact of inputs from productive services on total factor productivity in capital-intensive manufacturing industries was positive, but the positive impact was not significant. Will reduce total factor productivity by 0.2894 percentage points, mainly because the external demand for advanced productive services, such as R & D, design and integrated technology services, is not being met in technology-intensive manufacturing. The choice of productive service internalization of production organization model overruns the resources that can be used by manufacturing enterprises to develop production processes, carry out technological innovation, and improve production efficiency, which is not conducive to the improvement of production efficiency. This paper puts forward the following policy recommendations for the manufacturing industry to promote the total factor productivity through the input of productive services: on the one hand, to improve the internal structure of producer services; on the other hand, We should strengthen the integration and development of producer services and manufacturing industries.
【学位授予单位】：广西大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F719;F424

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