Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)

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Statistical Study on Green Productivity and High-Quality Economic Development

Authors
Chen Chen1, Pukun Zhao1, Fanqing Zhou1, *
1Guangdong University of Finance & Economics, Guangzhou, Guangdong, 510320, China
*Corresponding author. Email: nan89888@qq.com
Corresponding Author
Fanqing Zhou
Available Online 9 May 2025.
DOI
10.2991/978-94-6463-708-3_36How to use a DOI?
Keywords
Green productivity; K-Nearest Neighbors; Multiple regression model; Genetic algorithm
Abstract

Green development is the foundation of high-quality development, and green productivity is its new form. This study examines the relationship between green productivity and six tertiary indicators under resource-efficient, environmentally friendly productivity. Missing and outlier values are handled using the K-Nearest Neighbors (KNN) method, and indicator weights are calculated with the entropy method, revealing that gas utilization has the highest weight. A model is then developed by replacing the gas indicator with the air pollution index to improve accuracy. A multiple regression model is optimized using a genetic algorithm, with optimal parameters indicating the need to improve energy intensity, energy structure, water use intensity, and waste utilization, while reducing gas and wastewater emissions. Empirical analysis confirms the model's reliability with a goodness of fit of 0.99, supporting its use in government green development policy-making.

Copyright
© 2025 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 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)
Series
Atlantis Highlights in Engineering
Publication Date
9 May 2025
ISBN
978-94-6463-708-3
ISSN
2589-4943
DOI
10.2991/978-94-6463-708-3_36How to use a DOI?
Copyright
© 2025 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

risenwbib
TY  - CONF
AU  - Chen Chen
AU  - Pukun Zhao
AU  - Fanqing Zhou
PY  - 2025
DA  - 2025/05/09
TI  - Statistical Study on Green Productivity and High-Quality Economic Development
BT  - Proceedings of the 2024 10th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2024)
PB  - Atlantis Press
SP  - 323
EP  - 339
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-708-3_36
DO  - 10.2991/978-94-6463-708-3_36
ID  - Chen2025
ER  -