The impact of new quality productivity on sustainable development performance

Defang Ma, Yuze Xie, Mengkai Wang, Ting Peng and Jiahui Ding

International Review of Economics & Finance, 2025, vol. 102, issue C

Abstract: This study investigates the impact of new quality productivity (Npro) on corporate sustainable development performance. Using data from Chinese A-share listed firms from 2011 to 2021, we find that companies that develop Npro can improve their sustainability performance. Mechanism analyses reveal that Npro primarily influences sustainability performance by improving green innovation capabilities and internal control levels. Furthermore, compared to non-high-tech firms, high-tech firms’ sustainability performance is more obviously enhanced. The positive effect is also more pronounced in firms at the growth stage than in those at the mature or recession stages. Therefore, firms should actively foster green productivity, comprehensively enhance the “green content” of all production factors, and green the combination of factors. Our findings contribute to break the “haze” faced by enterprise and provide empirical evidence to support sustainable development.

Keywords: New quality productivity; Sustainable development performance; Green innovation; Internal control (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056025004976
Full text for ScienceDirect subscribers only

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:eee:reveco:v:102:y:2025:i:c:s1059056025004976

DOI: 10.1016/j.iref.2025.104334

Access Statistics for this article

International Review of Economics & Finance is currently edited by H. Beladi and C. Chen

More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().