<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Germany’s “Industry 4.0” strategy is a technological revolution that accelerates full penetration into industrial fields such as manufacturing, mainly based on the Internet of Things and the rapidly developing new generation of Internet technology as a carrier. This paper examines the implementation of Germany’s “Industry 4.0” strategy, focusing on R&amp;D expenditures, capacity utilization rates, and CNC rates of key processes in the manufacturing industry. It also lays the groundwork for Germany’s economic development and the effects of industrial restructuring. We construct a regression model to analyze the impact of “Industry 4.0” on the German economy, using economic growth as a measure of economic development. We use the automobile industry as a representative to study the industrial restructuring and upgrading of Germany under the “Industry 4.0” strategy. The results demonstrate a positive correlation between the estimated coefficients of economic growth variables in each year from 2020 to 2022 and the industry’s value-added, passing the significance test at the 0.05 level. In the industrial restructuring, Germany’s automobile industry has realized the transformation from traditional manufacturing mode to intelligent manufacturing mode, and the 1387.2 billion euros of Volkswagen’s R&amp;D investment also shows that Germany is still pursuing the technological upgrading of the industry.</p>
</abstract>

Germany’s “Industry 4.0” strategy is a technological revolution that accelerates full penetration into industrial fields such as manufacturing, mainly based on the Internet of Things and the rapidly developing new generation of Internet technology as a carrier. This paper examines the implementation of Germany’s “Industry 4.0” strategy, focusing on R&D expenditures, capacity utilization rates, and CNC rates of key processes in the manufacturing industry. It also lays the groundwork for Germany’s economic development and the effects of industrial restructuring. We construct a regression model to analyze the impact of “Industry 4.0” on the German economy, using economic growth as a measure of economic development. We use the automobile industry as a representative to study the industrial restructuring and upgrading of Germany under the “Industry 4.0” strategy. The results demonstrate a positive correlation between the estimated coefficients of economic growth variables in each year from 2020 to 2022 and the industry’s value-added, passing the significance test at the 0.05 level. In the industrial restructuring, Germany’s automobile industry has realized the transformation from traditional manufacturing mode to intelligent manufacturing mode, and the 1387.2 billion euros of Volkswagen’s R&D investment also shows that Germany is still pursuing the technological upgrading of the industry.

The Utility of “Industry 4.0” for Economic Development and Industrial Structure Change in Germany

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Germany’s “Industry 4.0” strategy is a technological revolution that accelerates full penetration into industrial fields such as manufacturing, mainly based on...

The Utility of “Industry 4.0” for Economic Development and Industrial Structure Change in Germany

Pubblicato online: 05 ago 2024

Pagine: -

Ricevuto: 06 apr 2024

Accettato: 28 giu 2024

DOI: https://doi.org/10.2478/amns-2024-2150

Parole chiave
Regression model, Economic development, Industrial structure upgrading, “Industry 4.0”

© 2024 Jie Yan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Utility of “Industry 4.0” for Economic Development and Industrial Structure Change in Germany

Pubblicato online: 05 ago 2024

Pagine: -

Ricevuto: 06 apr 2024

Accettato: 28 giu 2024

DOI: https://doi.org/10.2478/amns-2024-2150

Parole chiaveRegression model, Economic development, Industrial structure upgrading, “Industry 4.0”

© 2024 Jie Yan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Regression model, Economic development, Industrial structure upgrading, “Industry 4.0”