Empirical data on Unlocking ESG Performance through Intelligent Manufacturing The Roles of Transparency, Green Innovation, and Supply Chain Collaboration.

DOI:10.4121/61a111d0-6c65-40d0-a24a-18dbd3c7f965.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/61a111d0-6c65-40d0-a24a-18dbd3c7f965

Datacite citation style

Huang, Hui (2024): Empirical data on Unlocking ESG Performance through Intelligent Manufacturing The Roles of Transparency, Green Innovation, and Supply Chain Collaboration. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/61a111d0-6c65-40d0-a24a-18dbd3c7f965.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset encompasses empirical data on the impact of intelligent manufacturing(IM) on corporate ESG performance (ESG) across A-share listed companies in Shanghai and Shenzhen from 2009 to 2022 as the research sample.

History

  • 2024-10-29 first online, published, posted

Publisher

4TU.ResearchData

Format

*.xlsx

Organizations

Concord University College Fujian Normal University，Department of Economics and Law，China

DATA

Files (2)