Research on Whether ESG Performance Can Promote the Improvement of Innovation Level in Manufacturing Enterprises: An Empirical Analysis Based on A-Share Listed Manufacturing Companies

DOI

10.2991/978-94-6239-719-4_28How to use a DOI?

Keywords

Corporate ESG Performance; Corporate Innovation; Sustainable Development; Manufacturing Industry

Abstract

This study examines how environmental, social, and governance (ESG) performance influences innovation in Chinese A-share manufacturing firms (2014–2023) using computational panel regression methods. Results show that improved ESG performance significantly boosts patent applications, particularly inventions, while firm size and profitability positively moderate innovation. The relationship between industry competition and innovation follows an inverted U-shape. The analysis leverages advanced statistical software for data processing and model validation, supporting the integration of ESG strategy into R&D planning for sustainable development.

Copyright

© 2026 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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TY  - CONF
AU  - Xinyu Long
AU  - Yanling Sun
AU  - Yuqi Chen
PY  - 2026
DA  - 2026/07/09
TI  - Research on Whether ESG Performance Can Promote the Improvement of Innovation Level in Manufacturing Enterprises: An Empirical Analysis Based on A-Share Listed Manufacturing Companies
BT  - Proceedings of the 2026 6th International Conference on Enterprise Management and Economic Development (ICEMED 2026)
PB  - Atlantis Press
SP  - 244
EP  - 252
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-719-4_28
DO  - 10.2991/978-94-6239-719-4_28
ID  - Long2026
ER  -