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Big Data and Labor Demand
- 1 Central University of Finance and Economics
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Abstract
This paper examines the relationship between big data adoption and firm-level employment. First, this paper utilizes the annual reports disclosed by Chinese A-share listed companies to extract keywords related to “big data” and constructs a firm-level indicator to measure the extent of big data application. Then, we find that the big data adoption does not have significant effects on total employment, indicating that both the substitution and productivity effects exist and these two effects can potentially offset each other. Additionally, big data adoption significantly increases the demand for high-skilled labor but reduces the demand for low-skilled labor. This paper provides empirical evidence on the labor effects of the integration of big data with traditional enterprises.
Keywords
big data, labor demand, skill composition
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Cite this article
Zhang,Y. (2024). Big Data and Labor Demand. Journal of Applied Economics and Policy Studies,8,61-67.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Journal：Journal of Applied Economics and Policy Studies
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