Study on Energy Efficiency of Manufacturing Industry in Shandong Province in the Context of Carbon Neutrality

Jing Xue (), Fumei Xue () and Zhen Jiang ()
Additional contact information
Jing Xue: Linyi Qingyuan Environmental Protection Equipment Co
Fumei Xue: Linyi Fortieth Middle School
Zhen Jiang: Linyi Qingyuan Environmental Protection Equipment Co

A chapter in Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023), 2024, pp 582-589 from Springer

Abstract: Abstract Using the Data Envelopment Analysis (DEA) model, this article establishes an input-output indicator system to study the energy efficiency of 25 subsectors of manufacturing industries in Shandong Province. Subsequently, k-means algorithm is used for cluster analysis to classify the industry into four categories. The article finds that the overall energy use efficiency of manufacturing industries in Shandong Province is not high in 2021. Nearly two-thirds of the manufacturing industries is in the stage of increasing returns to scale, and should increase investment to obtain greater benefits. Most of the manufacturing industries in Shandong Province are of the type of low energy efficiency and low energy consumption. In the future, in order to reduce the amount of energy consumption, realize the efficient use of energy and promote the economic development, the government can take measures to improve the level of technology, optimize the industrial structure and so on.

Keywords: Manufacturing industry; energy efficiency; Data Envelopment Analysis (DEA); K-means clustering algorithm (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-368-9_69

Ordering information: This item can be ordered from
http://www.springer.com/9789464633689

DOI: 10.2991/978-94-6463-368-9_69

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().