How ESG Practice in Manufacturing Enterprises Achieves High Green Technology Innovation: A Study of FsQCA
Xinyue Sun,
Honglei Li (),
Qichao Zhang () and
Pengxiang Fan ()
Additional contact information
Xinyue Sun: Beijing Information Science and Technology University
Honglei Li: Beijing Information Science and Technology University
Qichao Zhang: Beijing Jiaotong University
Pengxiang Fan: Beijing Jiaotong University
A chapter in LISS 2024, 2025, pp 1200-1210 from Springer
Abstract:
Abstract The green technology innovation level of manufacturing enterprises is crucial to the development of enterprises and the maintenance of competitive advantages. How to realize the high green technology innovation of manufacturing enterprises is an urgent problem to be solved. This paper takes 67 manufacturing enterprises as the research object. Using the QCA method, this study analyzed 67 manufacturing enterprises and identified six configurations that significantly impact green technology innovation. The research found that the enterprise has 6 kinds of configuration to achieve high and high green technology innovation, which are divided into three types, respectively, the dual drive of market responsibility and public responsibility, green output and product consumption drive and green input product production and information disclosure drive. The results show that green input and product production, green output and product consumption, employee responsibility, market responsibility, public responsibility, equity governance, information disclosure and technological innovation are not the necessary conditions for enterprises to realize high-green technology innovation, but they have an important impact on the high-green technology innovation of enterprises. This paper provides new insights for the realization path of high green technology innovation, and also provides useful inspiration for manufacturing enterprises to realize high green technology innovation.
Keywords: Green Technology Innovation; ESG Practice; Qualitative Comparative Analysis of Fuzzy Set (fsQCA) (search for similar items in EconPapers)
Date: 2025
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:lnopch:978-981-96-9697-0_91
Ordering information: This item can be ordered from
http://www.springer.com/9789819696970
DOI: 10.1007/978-981-96-9697-0_91
Access Statistics for this chapter
More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().