Work

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

Year: 2025

Type: conference-paper

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.

Source: Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI)

DOI: 10.1145/3745238.3745315

Authors: Jian Liu, Qi Liu

Institution: Guangdong University of Science and Technology

Language: English

Topic: Digital Economy and Transformation

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funders: Strong, Guangdong University of Science and Technology