Research on the Entropy Weight Measurement of the Contribution of Digital Economy Supported by Artificial Intelligence Computing Power to New Quality Productivity

Under the new economic form where artificial intelligence computing power is accelerating its penetration, quantitatively analyzing the driving mechanism of the digital economy on new quality productivity has become a key issue. This study constructs a three-dimensional analytical framework of “computing power infrastructure - activation of data elements - embedding of intelligent technologies”, and based on the panel data of 30 provinces in China from 2012 to 2022, uses the improved entropy weight method to measure the development level of the digital economy supported by artificial intelligence computing power. It innovatively introduces the technology empowerment coefficient to correct the traditional productivity evaluation system. This study provides theoretical basis and strategic tools for the cross-domain allocation of AI computing power resources and the intelligent transformation of productivity.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1145/3745238.3745315
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on the Entropy Weight Measurement of the Contribution of Digital Economy Supported by Artificial Intelligence Computing Power to New Quality Productivity

Qi Liu, Jian Liu
E-commerce and Technology Innovations
article

Research on the Entropy Weight Measurement of the Contribution of Digital Economy Supported by Artificial Intelligence Computing Power to New Quality Productivity

Qi Liu, Jian Liu
article en

Abstract

Under the new economic form where artificial intelligence computing power is accelerating its penetration, quantitatively analyzing the driving mechanism of the digital economy on new quality productivity has become a key issue. This study constructs a three-dimensional analytical framework of “computing power infrastructure - activation of data elements - embedding of intelligent technologies”, and based on the panel data of 30 provinces in China from 2012 to 2022, uses the improved entropy weight method to measure the development level of the digital economy supported by artificial intelligence computing power. It innovatively introduces the technology empowerment coefficient to correct the traditional productivity evaluation system. This study provides theoretical basis and strategic tools for the cross-domain allocation of AI computing power resources and the intelligent transformation of productivity.

Strong, Guangdong University of Science and Technology
Decent work and economic growth
Openalex Percentile: Top 65%
E-commerce and Technology Innovations
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Research on the Entropy Weight Measurement of the Contribution of Digital Economy Supported by Artificial Intelligence Computing Power to New Quality Productivity — Qi Liu, Jian Liu · (2025) | TGRS Research Map | TGRS