Education, Science, Technology, Innovation and Life
Open Access
Sign In

Integrating Environmental Concerns: Evaluation of GGDP Innovation Economy Based on Entropy Weight and Coefficient of Variation

Download as PDF

DOI: 10.23977/infse.2024.050207 | Downloads: 5 | Views: 136


Chenyi Qiu 1, Yihua Tu 2


1 School of Economies, Shanghai University, Shanghai, 200444, China
2 School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, China

Corresponding Author

Chenyi Qiu


This study responds to the environmental repercussions of emphasizing Gross Domestic Product (GDP) over ecological concerns, like excessive resource depletion. With a pressing need for a more sustainable economic measure, we advocate for "Green" GDP (GGDP) as a holistic substitute. Our focus lies in integrating natural resource preservation into economic evaluations and promoting global accord on sustainable economic progress. Strategically selecting key economies worldwide, we redefine resource depletion and environmental degradation costs within GGDP assessments. Using methods like Entropy Weight and Coefficient of Variation, we establish a robust GGDP model. We also evaluate climate mitigation indicators across various countries, showcasing GGDP's positive impact through methods like BP neural networks. Additionally, we assess GGDP's resilience to fluctuations using predictive models like LSTM, highlighting its effectiveness in climate mitigation compared to GDP. This transition gains support from cosine similarity analysis, emphasizing GGDP's alignment with environmental indices. Enhancing the GGDP model through various analyses and incorporating indicators like GNI and research expenditure, our proposed framework emerges as a comprehensive, stable alternative, supporting sustainable economic growth while curbing environmental impact.


Entropy Weight, Coefficient of Variation, BP neural network, LSTM


Chenyi Qiu, Yihua Tu, Integrating Environmental Concerns: Evaluation of GGDP Innovation Economy Based on Entropy Weight and Coefficient of Variation. Information Systems and Economics (2024) Vol. 5: 51-57. DOI:


[1] Wen, Z., Zhang, K., & Du, B. (2004). Deficiencies of the current GDP accounting system and its revision--methodology and case study. Journal of China University of Geosciences (Social Science Edition), (03), 43-46.
[2] Li, J. L. (2021). Green development accounting of Daihai watershed based on GGDP, GEP, and GEEP. Inner Mongolia University.
[3] Zhao, Z., Luo, Y., & Huang, J. (2019). Global warming and sea level rise. Advances in Climate Change Research, 15(06), 700-703.
[4] Chen, L.P., & Yang, Z. Z. (2005). Empirical analysis of green GDP accounting in China. Journal of Harbin Institute of Technology (Social Science Edition), (06), 64-68.

Downloads: 8161
Visits: 154156

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.