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Research on the impact of manufacturing virtual agglomeration on green total factor productivity of enterprises under the Sustainable Development Goals.

Authors :
Zhang Q
Ru S
Huang H
Source :
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jan; Vol. 31 (4), pp. 5484-5499. Date of Electronic Publication: 2023 Dec 20.
Publication Year :
2024

Abstract

Virtual agglomeration of manufacturing has become a new driving force for improving the green total factor productivity of enterprises, which is of great significance in achieving the sustainable development of manufacturing enterprises and the construction of manufacturing power. This paper clarifies the connotation, model, and characteristics of manufacturing virtual agglomeration. Based on the five dimensions of virtual agglomeration platform, digitization of subjects, data center, virtual cooperation network, and logistics service, this paper constructs an index system for the manufacturing virtual agglomeration. Entropy weight method was used to measure the level of manufacturing virtual agglomeration from 2012 to 2021. Furthermore, this paper analyzes and tests the influence mechanism of manufacturing virtual agglomeration on the green total factor productivity of enterprises. This paper finds that manufacturing virtual agglomeration improves the green total factor productivity of enterprises, which shows a nonlinear relationship. The mechanism test results show that manufacturing virtual agglomeration improves the green total factor productivity of enterprises by accelerating green technology innovation, forming a scale economy, and reducing transaction costs. The heterogeneity analysis shows that the promotion effect of virtual agglomeration in manufacturing on the green total factor productivity of enterprises is affected by the property rights and scale of the enterprise.<br /> (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Details

Language :
English
ISSN :
1614-7499
Volume :
31
Issue :
4
Database :
MEDLINE
Journal :
Environmental science and pollution research international
Publication Type :
Academic Journal
Accession number :
38123773
Full Text :
https://doi.org/10.1007/s11356-023-31586-2