Research on Impact of New Energy Industry Agglomeration on Economic Growth

Xiaohong Li and Tianming Zhang ()
Additional contact information
Xiaohong Li: Dalian Polytechnic University, Management School
Tianming Zhang: Dalian Polytechnic University, Management School

A chapter in Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022), 2023, pp 703-709 from Springer

Abstract: Abstract In this paper, the degree of new energy industry agglomeration is obtained by calculating the location entropy, and the results show that China’s new energy industry agglomeration generally presents a pattern of “east > middle > west”. Then, based on the panel data of 30 provinces from 2013 to 2019, an econometric model is built to explore the impact of new energy industry agglomeration on economic growth. The regression results show that the new energy industry agglomeration has a significant positive effect on economic growth, and has obvious industrial heterogeneity. The impact of general equipment manufacturing industry agglomeration on economic growth is better than that of electrical machinery and equipment manufacturing industry agglomeration on economic growth.

Keywords: new energy industry; industrial agglomeration; location entropy; economic growth (search for similar items in EconPapers)
Date: 2023
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:978-94-6463-124-1_80

Ordering information: This item can be ordered from
http://www.springer.com/9789464631241

DOI: 10.2991/978-94-6463-124-1_80

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 ().