The doi 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: 10.4121/5f99b97e-e391-40b1-bb83-5be3be7416fe

Huang, Hui (2024): Data underlying the research of the Impact and Mechanisms of Artificial Intelligence on Green Economic Efficiency. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5f99b97e-e391-40b1-bb83-5be3be7416fe.v1

Dataset

• Artificial Intelligence and Image Processing
• Environmental Science and Management
• Information and Communication Services
• Information and Computing Sciences
• Environmental Sciences
• Environment

artificial intelligence, green development, Green Total Factor Productivity (GTFP), sustainable development

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Hui Huang

This dataset encompasses empirical data on the impact of artificial intelligence (AI) on green total factor productivity (GTFP) across 30 provinces in China from 2011 to 2021, including province-level AI adoption metrics, environmental indicators, and productivity measures, collected to analyze the intersection of technological innovation and sustainable economic growth.

• 2024-05-22 first online, published, posted

4TU.ResearchData

.xlsx

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