统计研究 ›› 2021, Vol. 38 ›› Issue (2): 57-72.doi: 10.19343/j.cnki.11-1302/c.2021.02.005

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怎样的制造企业更愿涉足服务业务?———“服务化困境”问题的生产率匹配探析

肖挺   

  • 出版日期:2021-02-25 发布日期:2021-02-25

What Kind of Manufacturer Would Prefer to Involve the Service Business? —An Analysis of Productivity Matching of “Servitization Paradox”

Xiao Ting   

  • Online:2021-02-25 Published:2021-02-25

摘要: 本文关注于制造业企业服务化过程中的产业效率因素,设计了差异化产品模型。在需求层面,公司所提供的产品和服务之间具有互补性;而在供应方面,企业在产品生产和服务之间在专业知识分配上存在竞争。理论模型提供了对制造企业服务化与全要素生产率之间的计量评估。本文利用我国上市制造业版块中的企业数据,通过使用具有异质性的Fractional Probit 模型控制内生性并进行实证检验,理论模型推导和经验估计指出,企业全要素生产率与服务化之间存在“U”型关系,针对四个行业部门的检验也证实服务化和企业全要素生产率之间的非线性关系。在不同地区的企业之间,“U”型关系也存在差异。企业所处行业环境、所在区域以及所提供产品和服务的内在特征对于“服务化困境”的表现都存在差异性的影响。

关键词: 服务化困境, 企业行为, 全要素生产率, 知识分配, Fractional Probit模型

Abstract: The paper focuses on the factors of industrial efficiency in the servicing process of manufacturing enterprises and designs a differentiated product model. In terms of demand, the products and services provided by companies are complementary, while in terms of supply, enterprises compete in the distribution of expertise between the production and service. A theoretical model provides an econometric assessment of the relationship between servitization and total factor productivity in manufacturing enterprises. Using the data of listed manufacturing enterprises in China, this paper uses the heterogeneous Fractional Probit model to control endogeneity and conducts an empirical test. The theoretical model and empirical estimation show that there is a U-shaped relationship between the enterprise total factor productivity and servitization, and the test of four industry sectors also proves the nonlinear relationship between servitization and total factor productivity. Ushaped relationships also differ among companies in different regions. The industrial environment, the region and the internal characteristics of products and services of the enterprise have different influences on the performance of the “servitization paradox”.

Key words: Servitization Paradox, Enterprise Behavior, Total Factor Productivity, Knowledge Distribution, Fractional Probit Model