Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Efficiency Evaluation and Influencing Factors Analysis of Industrial Green Transformation in Hubei Province

Authors
Xiao Ying1, *, Xie Rongjun1
1Wuhan Vocational College of SoftWare and Engineering, Wuhan, Hubei, China
*Corresponding author. Email: 346701288@qq.com
Corresponding Author
Xiao Ying
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_20How to use a DOI?
Keywords
green transformation efficiency; green total factor productivity; Global Super-SBM model; Global Malmquist - Luenberger Indext
Abstract

This paper selects 12 major cities in Hubei Province as the research objects. Using the Super-SBM model and GML index to calculate the industrial green transformation efficiency and differences of major cities in Hubei Province from 2009 to 2019.The overall industrial green transformation efficiency level is still at a low level, but there is a clear trend of improvement. There are obvious differences in the level of green total factor productivity among cities. The growth of green total factor productivity in some cities is mainly due to the improvement of technical efficiency. Further use the panel econometric model to analyze the factors affecting the efficiency of industrial green transformation in major cities in Hubei Province. The level of economic development, government support, the improvement of education level and environmental regulation have obvious promoting effects. It is expected that the analysis results have certain theoretical and practical significance for guiding the green development of urban industry.

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 mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_20
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_20How 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  - Xiao Ying
AU  - Xie Rongjun
PY  - 2022
DA  - 2022/12/29
TI  - Efficiency Evaluation and Influencing Factors Analysis of Industrial Green Transformation in Hubei Province
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 122
EP  - 130
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_20
DO  - 10.2991/978-94-6463-042-8_20
ID  - Ying2022
ER  -