Data from: epidemic, factor misallocation and efficiency of digital enterprises: heterogeneity study of labor and capital

In order to improve the development quality of the digital economy, the
factor misallocation shall be reduced effectively in the post-epidemic
era. This study discussed the impact mechanism of how the labor and
capital misallocation affect heterogeneously the epidemic’s
effect on the efficiency of digital enterprises. The epidemic outbreak was
considered a quasi-natural experiment to set a PSM-DID model and
an intermediary effect model. Empirical research was carried out using the
data of 1752 digital and non-digital high-tech enterprises from
the fourth quarter of 2017 to the first quarter of 2022. The results show
that: (1) The epidemic improved digital
enterprises' efficiency, mainly from the positive effect on
technological efficiency and scale
efficiency. (2) The epidemic worsened the
misallocation of labor but improved capital
allocation. (3) Through the
factor misallocation, the epidemic had a
positive impact on the efficiency of digital
enterprises, contributing to the
worsening technical progress. Through
the capital misallocation, the epidemic had a
positive effect on the TFP of
the digital enterprises but there
is no significant evidence of its
source.
While through the labor misallocation had a positive effect on the TFP of the digital enterprises because of its positive effect on technological efficiency and pure efficiency.