Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Research on Input-Output Efficiency of Listed Companies of Solar-Thermal Power Concept Based on DEA-BCC Model

Authors
Zhen Xu1, *, Ping Lu2
1Shandong Light Industry Collective Enterprise Association, 16 Qingnian Rd (East), Jinan, 250012, Shandong, China
2Jinan Changqing District Agricultural and Rural Development Service Center, 798 Bingu St., Chanqing District, Jinan, 250399, Shandong, China
*Corresponding author. Email: xuzhen@shandong.cn
Corresponding Author
Zhen Xu
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_68How to use a DOI?
Keywords
solar-thermal power; DEA model; input-output efficiency
Abstract

This paper uses DEA-BCC model to construct a system of input-output indicators to measure the input-output efficiency of China’s listed companies of solar-thermal power generation concept using panel data of 24 listed companies of solar-thermal power generation concept in China from 2017–2021 as research samples. The results indicate that the overall level of input-output efficiency of listed companies in the solar-thermal power concept is not high. From the perspective of pay for scale, the number of companies with constant pay for scale shows a “V-shaped” fluctuation, but the change is relatively flat; the number of companies with increasing pay for scale and decreasing pay for scale shows a large fluctuation in 2019. In terms of economic regions, the technical efficiency and pure technical efficiency are higher in the eastern and central regions compared to the western region; while in terms of scale efficiency, there is not much difference among economic regions. Therefore, in order to better improve the input-output efficiency of the listed solar-thermal power company, the company needs to strengthen resource allocation, improve resource utilization, and adjust the scale of the enterprise to further improve the technology research and development capability to achieve technological progress.

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 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
978-94-6463-198-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_68How 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  - Zhen Xu
AU  - Ping Lu
PY  - 2023
DA  - 2023/08/10
TI  - Research on Input-Output Efficiency of Listed Companies of Solar-Thermal Power Concept Based on DEA-BCC Model
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 660
EP  - 668
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_68
DO  - 10.2991/978-94-6463-198-2_68
ID  - Xu2023
ER  -