Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)

Research on Economical Evaluation Model for Guaranteeing Environmental Factors

Authors
Houbin Wang1, Zanglong Zhang2, *, Hao Tang1
1School of Resources and Environmental Engineering, Ludong University, Yantai, China
2College of Intelligence and Information Engineering, Shandong University of Traditional Chinese Medicine, Jinan, China
*Corresponding author. Email: 15169779017@163.com
Corresponding Author
Zanglong Zhang
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-368-9_9How to use a DOI?
Keywords
SEEA-MFA Model; Green Index; 3D Coordinate Model; Externality Theory
Abstract

At present, Gross Domestic Product (GDP) has become an essential evaluation metric for economic development. However, existing evaluation models only concentrate on enhancing the accuracy and ignore the environmental influence for continuous development. In this work, we initially involve the material flow analysis method under the framework of SEEA- CF accounting system, and then establish the SEEA-MFA accounting system to define Green Index to measure the economic health of a country. After selecting four indicators that can represent climate change, we analyze correlation among them and GI. Additionally, we collect 18 sets of data from 20 countries to evaluate the impact of GI on global climate mitigation, we select 8 quantifiable secondary indicators from three dimensions of current economic development, ecological damage, ecological improvement and establish a climate mitigation score evaluation model. We utilize Analytic Hierarchy Process and Entropy Weight Method to calculate the weight of each index in three dimensions. After that, we conduct a cost-benefit analysis based on the externality theory finding that the adoption of green GDP (GGDP) will produce a net benefit to the environment. After using lasso regression to screen variables, we conduct multiple regression analysis between GI, ln GDP and climate change indicators separately. When GDP and GGDP both grow by 1%, the former will bring more serious harm to the climate and environment.

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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Volume Title
Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
14 February 2024
ISBN
978-94-6463-368-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-368-9_9How to use a DOI?
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.

Cite this article

TY  - CONF
AU  - Houbin Wang
AU  - Zanglong Zhang
AU  - Hao Tang
PY  - 2024
DA  - 2024/02/14
TI  - Research on Economical Evaluation Model for Guaranteeing Environmental Factors
BT  - Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)
PB  - Atlantis Press
SP  - 61
EP  - 71
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-368-9_9
DO  - 10.2991/978-94-6463-368-9_9
ID  - Wang2024
ER  -