The Influence of Industrial Robot Investment on Enterprise Labor Productivity is Analyzed Based on Econometric Model
- DOI
- 10.2991/978-94-6463-030-5_107How to use a DOI?
- Keywords
- Industrial Robot; Labor Productivity; Econometric Model; Regression Analysis
- Abstract
The International Federation of Robotics (IFR) released the statistics of global robots in 2020. According to the statistics, the cumulative installation of industrial robots in China has reached 783000, ranking first in Asia. As an intelligent product, industrial robots can replace labor to complete many difficult and dangerous production activities, so as to greatly improve production efficiency. In this context, this paper analyzes the impact of industrial robots on enterprise labor productivity, constructs an econometric model of the impact of industrial robot investment on enterprise labor productivity, and makes descriptive statistics and regression analysis with the help of the panel data at the product level from 2019 to 2020 provided by the General Administration of Customs of China, The results show that the investment of industrial robots has a positive impact on enterprise labor productivity, and the impact is different from the perspective of regional heterogeneity.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zongguang Wang AU - Yamin Jiang PY - 2022 DA - 2022/12/20 TI - The Influence of Industrial Robot Investment on Enterprise Labor Productivity is Analyzed Based on Econometric Model BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 1080 EP - 1087 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_107 DO - 10.2991/978-94-6463-030-5_107 ID - Wang2022 ER -