Labor Productivity in the Digital Era: A Spatial-Temporal Analysis
This study examined the role of information and communication technologies (ICT) in labor productivity dynamics. The following ICT components were analyzed: the share of organizations using computers and the share of organizations using the internet. The purpose of the study was to analyze labor...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Universitas Indonesia
2020-12-01
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Series: | International Journal of Technology |
Subjects: | |
Online Access: | https://ijtech.eng.ui.ac.id/article/view/4429 |
Summary: | This
study examined the role of information and communication technologies (ICT) in
labor productivity dynamics. The following ICT components were analyzed: the
share of organizations using computers and the share of organizations using the
internet. The purpose of the study was to analyze labor productivity in the
Russian economy in the context of digital transformation, taking into account
two dimensions: temporal and spatial. We investigated the impact of organizations’
use of ICT on labor productivity, the relationship between labor productivity
and high-tech production, and spatial effects in the dynamics of labor
productivity. We used a spatial autoregressive model (SAR) and a panel vector
autoregressive model (PVAR) to analyze data for the period 2010–2018. The
findings show that digitalization of business processes and an increase in the
share of organizations using internet technologies leads to an increase in
labor productivity. Certain socioeconomic indicators were also found to be
significant, namely, real wages and the percentage of people with higher
education in the workforce. Exogenous variables acting as external shocks did
not exert significant effects. The results have important implications for
managers who develop strategies to increase labor productivity and production
efficiency. Such strategies should focus on internetization, business
digitalization, and e-commerce. |
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ISSN: | 2086-9614 2087-2100 |