400 / 2024-03-29 20:20:56
Research on the Impact of Digital Intelligence Integration on Regional Carbon Emission Performance
digital intelligence integration; carbon emission performance; energy intensity; industrial structure
Draft Accepted
Di Wang / China University of Mining and technology
Han Li / China University of Mining and Technology
As a new economic form of highly integrated development of a new generation of information technology and digital economy, digital intelligence integration has become a new driving force and a new engine to improve regional carbon emission performance. In order to explore the impact and mechanism of digital intelligence integration development on regional carbon emission performance, an evaluation index system of digital intelligence integration development was constructed. Based on the panel data of 30 provinces in China from 2014 to 2021, the entropy weight TOPSIS method was adopted to evaluate the development level of digital intelligence integration in China's provinces. The regression model and the intermediary effect model were used to analyze the effect and mechanism of digital intelligence integration on carbon emission performance. The findings are as follows: From 2014 to 2021, the development level of digital intelligence integration in China's provinces shows an obvious trend of "high in the east and low in the west" and increases year by year; The development of digital intelligence integration can significantly promote the improvement of regional carbon emission performance; The development of digital intelligence integration can promote the improvement of regional carbon emission performance by reducing energy intensity and optimizing industrial structure.
Important Date
  • Conference Date

    May 29

    2024

    to

    Jun 01

    2024

  • May 08 2024

    Draft paper submission deadline

Sponsored By
China University of Mining and Technology