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Research on Influencing Factors of Carbon Emissions Based on Data Analysis

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Cyber Security Intelligence and Analytics (CSIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 125))

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Abstract

The study of factors influencing urban and regional carbon emissions has been a focus of attention. Scholars at home and abroad have mainly used the log-averaged Diese index decomposition method (LMDI), the extended STIRPAT model, grey correlation analysis and vector autoregressive model (VAR) to study and analyze the factors influencing carbon emissions. This paper firstly introduces the different methods, and by reviewing the main factors influencing carbon emissions that have been used by different research teams, we explore the differences and linkages between them, in order to provide an important reference for choosing the appropriate method to study the carbon emission situation and its influencing factors in a typical city or region, and to actively serve the “carbon neutral, carbon peaking This will help to achieve “carbon neutrality and carbon peaking”.

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Author information

Authors and Affiliations

  1. School of Ecological Technology and Engineering, Shanghai Institute of Technology, Shanghai, 201418, China

    Jie Xiang, Meifang Hou, Yirong Xu & Yueshu Yu

Authors
  1. Jie Xiang
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  2. Meifang Hou
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  3. Yirong Xu
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  4. Yueshu Yu
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Corresponding author

Correspondence to Yueshu Yu .

Editor information

Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

  2. Department of Information Systems and Security, College of IT, United Arab Emirates University (UAEU), Abu Dhabi, United Arab Emirates

    Saed Alrabaee

  3. Altair Management Consultants, Madrid, Spain

    Octavio Loyola-González

  4. Department of Info Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA

    Xiaolu Zhang

  5. Informatics Faculty, Telkom University, Bandung, Indonesia

    Niken Dwi Wahyu Cahyani

  6. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia

    Nurul Hidayah Ab Rahman

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Xiang, J., Hou, M., Xu, Y., Yu, Y. (2022). Research on Influencing Factors of Carbon Emissions Based on Data Analysis. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-030-97874-7_102

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