知识密集型服务业生产率异质性的影响研究

Research on the Impact of Productivity Heterogeneity in Knowledge Intensive Service Industry

结合“新”新经济地理学,测度知识密集型服务业全要素生产率及其分解的异质性特征和趋势,并构建中国知识密集型服务产业及细分行业集聚程度对全要素生产率影响的面板数据固定效应模型,探索其支撑高质量发展的影响因素和影响效应。研究发现:(1)中国知识密集型服务业在高质量增长方面尚存在短板且呈现异质性,存在内部效率结构不均衡、技术进步不足、技术生产率低下、规模效益尚未形成、有效供给不足、全要素生产率整体较为滞后等问题。(2)知识密集型服务业依然存在粗放型、滞后性的特征,各行业间异质性较大呈现出非均衡现象,各行业均由于技术效率水平影响整体全要素生产率的提升。(3)知识密集型服务业集聚程度的上升对城市效率的提升具有显著的促进作用,但呈现出“倒U”型关系,需要引导各要素形成技术效应对全要素生产率的引领作用和结构效应对全要素生产率的支撑作用。

In this article,by combining the“new”new economic geography,the total factor productivity of China’s knowledge intensive service industries,sub-sectors and their decomposition are analyzed.We construct a panel data fixed effect model of TFP growth of knowledge intensive service industry,measure the heterogeneity characteristics and trends of TFP of knowledge intensive service industry and explore the influencing factors and effects of TFP supporting high-quality development of knowledge intensive service industry.Through the effort,we conclude that:(1)China’s knowledge intensive service industry is still short and heterogeneous in terms of high-quality growth,and lagging total factor productivity.(2)The knowledge intensive service industry still has the characteristics of extensive and lagging,and the heterogeneity among industries is large,showing a non-equilibrium phenomenon.(3)The increase of the agglomeration degree of knowledge intensive service industry has a significant promoting effect on the improvement of urban efficiency,but it shows an“inverted U”relationship.It is necessary to guide the influencing factors to form the leading role of technology effect on total factor productivity and the supporting role of structure effect on total factor productivity.