Break the Data Chimney:The New Quality Productive Forces Driven by Big Data and Labor Investment Efficiency
In the digital era,data,as a carrier of information,has deeply penetrated various industries and fields,becoming a significant driver of digital productivity.However,the prevalent issue of data fragmentation often prevents the seamless interconnection of diverse data sources.This leads to data silos between departments or systems,making it difficult to share and integrate information,creating what is often referred to as a"data chimney".The accompanying problem of insufficient data circulation greatly limits the value of data elements and exacerbates issues of resource misallocation.The application of big data requires efficient and innovative methods of information processing.This is typically accompanied by tangible investments,such as large-scale hardware infrastructure,and intangible investments,including talent acquisition and technological innovation.These investments fuel the rapid development of next-generation information technologies,such as artificial intelligence.The growth of these technologies not only transforms how we collect,store,and analyze data but also helps dismantle the long-standing"data chimney",ultimately improving resource allocation efficiency.Based on the theory of information asymmetry,this paper examines the establishment of a national-level big data comprehensive experimental zone as an exogenous catalyst for information technology innovation.Through the lens of labor input,it employs the difference-in-differences method to assess the influence of information technology innovation on resource allocation efficiency within enterprises.The research findings demonstrate that the information technology innovation propelled by the big data experimental zone enhances labor investment efficiency in enterprises by improving labor market matching efficiency and fostering greater transparency in enterprise information.This effect is particularly pronounced in non-state-owned enterprises,small scale firms,and contexts characterized by high levels of uncertainty.Additionally,subsequent research reveals that the information technology innovation significantly improves the complementary adjustment and investment of enterprises with excessive labor investment in technology and talent,thereby expediting internal innovation and facilitating the digital transformation process.Consequently,this phenomenon elucidates why information technology innovation primarily addresses issues of excessive labor investment.Economic consequence test shows the enhancement of labor investment efficiency through information technology innovation stimulates enterprise productivity growth.Compared to existing research,this paper offers three key contributions.First,while most studies on the impact of information technology on labor investment focus on the macro level—examining labor employment,labor structure,and labor mobility—there remains a lack of empirical research on the labor investment efficiency of micro-enterprises.On the one hand,this study enriches our understanding of the economic consequences of new quality productive forces from the perspective of labor investment efficiency;On the other hand,by revealing the internal mechanism of the influence of information technology innovation on the efficiency of enterprise labor investment,this paper expands our understanding of the factors affecting the efficiency of enterprise labor investment.Second,this paper uses the establishment of national big data comprehensive pilot zones as an exogenous shock to information technology innovation.By employing the difference-in-differences method,it better identifies causal relationships and enhances the reliability and robustness of the empirical findings through a more rigorous research design.Third,China currently faces practical challenges such as a declining birth rate,an aging population,and an increasingly complex and uncertain external environment.From the unique perspective of labor investment efficiency,this paper demonstrates that new quality productive forces,driven by technological innovation,can serve as a positive strategy to address these pressing challenges.
big data comprehensive experimental zonenew quality productive forceslabor investment efficiency
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