Paper
6 May 2022 Based on big data analysis to study the impact of industrial structure upgrading on carbon emissions
Yuchen Jia
Author Affiliations +
Proceedings Volume 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022); 122561E (2022) https://doi.org/10.1117/12.2635916
Event: 2022 International Conference on Electronic Information Engineering, Big Data and Computer Technology, 2022, Sanya, China
Abstract
Based on big data and the introduction of mediation model, this paper selects 29 provinces (cities) in China from 2001 to 2019 panel data for empirical analysis. On this basis, the industrial heterogeneity test and regional heterogeneity test.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuchen Jia "Based on big data analysis to study the impact of industrial structure upgrading on carbon emissions", Proc. SPIE 12256, International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2022), 122561E (6 May 2022); https://doi.org/10.1117/12.2635916
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KEYWORDS
Carbon

Atmospheric modeling

Carbon dioxide

Geographic information systems

Pollution control

Data conversion

Data modeling

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