Version 1

Data underlying the research of the Impact and Mechanisms of Artificial Intelligence on Green Economic Efficiency

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Huang, Hui

Description

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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.8

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

Assigned Domain

Subfield

Ecology

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

56%

Source

Scholar Data Model

Keywords

Artificial Intelligence and Image ProcessingFOS: Computer and information sciencesEnvironmental Science and ManagementFOS: Earth and related environmental sciencesInformation and Communication ServicesInformation and Computing SciencesEnvironmental SciencesEnvironmentartificial intelligencegreen developmentsustainable developmentGreen Total Factor Productivity (GTFP)

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00