Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Research on Green Development Level and Efficiency of Chemical Industry Based on AHP and Super-Efficiency SBM Model

Authors
Xin Wang1, *
1School of Economics and Management, Lanzhou University of Technology, Lanzhou, China
*Corresponding author. Email: 18215124717@163.com
Corresponding Author
Xin Wang
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_120How to use a DOI?
Keywords
Green Development; Super-Efficiency SBM Model; Chemical Industry; The Malquisit Index
Abstract

In the context of the continuous advancement of the “Carbon Peak” and “Carbon Neutral” strategies, green is the main theme of development. To achieve high-quality and sustainable development of the industry, it is necessary to pay attention to the development performance of green laws. In order to measure and evaluate the green development performance of the chemical industry in Gansu Province, this paper takes the chemical enterprises in Gansu Province as the research object, uses the AHP method to construct a green development performance evaluation index system. At the same time, the paper uses the super-efficiency SBM model to calculate the green development efficiency of the chemical industry, and uses the Malmquist index to dynamically analyze the changes in green development efficiency. The empirical results show that the green development level and benefits of the chemical industry in Gansu Province are far from the optimal level, but are increasing year by year. Technological efficiency and technological progress work together in green efficiency.

Copyright
© 2023 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 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
10.2991/978-94-6463-030-5_120
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_120How to use a DOI?
Copyright
© 2023 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  - Xin Wang
PY  - 2022
DA  - 2022/12/20
TI  - Research on Green Development Level and Efficiency of Chemical Industry Based on AHP and Super-Efficiency SBM Model
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1196
EP  - 1202
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_120
DO  - 10.2991/978-94-6463-030-5_120
ID  - Wang2022
ER  -