TY - JOUR
T1 - Digital transformation, labour share, and industrial heterogeneity
AU - Chen, Nanxu
AU - Sun, Dongqing
AU - Chen, Jing
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2022/4/1
Y1 - 2022/4/1
N2 - For this study, we examined the relationship between the digital economy and labour share from the perspective of industrial heterogeneity. To analyse the digital economy's impact on labour share, we introduced a digital economy into a framework concerning labour share. We then built a mathematical model describing the influencing mechanism of the digital economy on labour share. We generated data from Chinese listed enterprises (n=3778) from 2007 to 2019 and applied a two-way fixed effects model to scrutinise the data. The results show that (1) the digital economy affects labour share through three countervailing forces: the productivity improvement effect, factor-biased effect, and scale return change effect; (2) the labour share would change to -0.12%, 0.36%, and -0.48% through the productivity improvement effect, factor-biased effect, and scale return change effect, respectively, with a 0.1% increase in the digital economy, indicating that the labour-biased effect is the main component of the increase in labour share, and the scale return effect is the primary source of the decline in labour share; (3) a phenomenon similar to the digital divide exists in the factor-biased and scale return change effects for heterogeneous industries. Theoretically and empirically, this study contributes to the existing findings and offers useful managerial insights.
AB - For this study, we examined the relationship between the digital economy and labour share from the perspective of industrial heterogeneity. To analyse the digital economy's impact on labour share, we introduced a digital economy into a framework concerning labour share. We then built a mathematical model describing the influencing mechanism of the digital economy on labour share. We generated data from Chinese listed enterprises (n=3778) from 2007 to 2019 and applied a two-way fixed effects model to scrutinise the data. The results show that (1) the digital economy affects labour share through three countervailing forces: the productivity improvement effect, factor-biased effect, and scale return change effect; (2) the labour share would change to -0.12%, 0.36%, and -0.48% through the productivity improvement effect, factor-biased effect, and scale return change effect, respectively, with a 0.1% increase in the digital economy, indicating that the labour-biased effect is the main component of the increase in labour share, and the scale return effect is the primary source of the decline in labour share; (3) a phenomenon similar to the digital divide exists in the factor-biased and scale return change effects for heterogeneous industries. Theoretically and empirically, this study contributes to the existing findings and offers useful managerial insights.
KW - Digital divide
KW - Digital economy
KW - Industrial heterogeneity
KW - Labour share
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U2 - 10.1016/j.jik.2022.100173
DO - 10.1016/j.jik.2022.100173
M3 - Article
AN - SCOPUS:85126049210
SN - 2530-7614
VL - 7
JO - Journal of Innovation and Knowledge
JF - Journal of Innovation and Knowledge
IS - 2
M1 - 100173
ER -