Research on the Mechanism and Pathway of Digital Intelligence Technology Application in Collaborative Emission Reduction in the Chemical Industry

DOI

10.2991/978-94-6463-490-7_46How to use a DOI?

Keywords

Chemical Industry; Collaborative Emission; Intelligence Technology; Reduction Mechanism

Abstract

The integration of digital intelligence has become the core driving force of digitalization and sustainable green development. This convergence relies on data-centricity to achieve deep integration of data, intelligence, cloud computing and network technologies. In recent years, scholars at home and abroad have begun to pay attention to quantitative evaluation, but the relevant results are still insufficient in applying these evaluation methods to the chemical industry and carrying out specific quantitative research. Based on the panel data of 10 prefecture-level cities in Jiangsu Province from 2013 to 2022 (excluding the data of Huai'an, Taizhou and Suqian, the same below), this paper analyzes the spatiotemporal evolution characteristics of carbon emissions and the development of digital intelligence integration in the chemical industry in Jiangsu Province, and uses benchmark regression to analyze the impact of the development of digital intelligence integration on carbon emission reduction in the chemical industry, and draws corresponding conclusions and enlightenments, which provides a reference for the carbon emission reduction path of the chemical industry.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lei Tian
PY  - 2024
DA  - 2024/08/31
TI  - Research on the Mechanism and Pathway of Digital Intelligence Technology Application in Collaborative Emission Reduction in the Chemical Industry
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 416
EP  - 425
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_46
DO  - 10.2991/978-94-6463-490-7_46
ID  - Tian2024
ER  -