The Research Mechanism of Knowledge Source Duality on Regional Green Sustainable Innovation: Based on the Perspective of Dynamic Capability
- DOI
- 10.2991/978-94-6463-459-4_70How to use a DOI?
- Keywords
- Knowledge sourcing; Duality; Sustainability of regional green innovation; Dynamic capability
- Abstract
This article aims to use panel data from industrial enterprises in various provinces of China as a sample and conduct empirical research using a fixed effects model to explore the differences in binary knowledge strategy selection and its impact on the sustainability of green innovation, and provide corresponding suggestions based on the conclusions drawn. This opens the black box between knowledge sources and regional green innovation sustainability, and also promotes various regions in China to examine their own development from a sustainable development perspective. Promote them to focus on regional development trends and environmental changes, enhance resilience, carry out green innovation activities, and gain public recognition.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Jian Hu AU - Xingju Jia AU - Jinhua Sun PY - 2024 DA - 2024/07/23 TI - The Research Mechanism of Knowledge Source Duality on Regional Green Sustainable Innovation: Based on the Perspective of Dynamic Capability BT - Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024) PB - Atlantis Press SP - 623 EP - 629 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-459-4_70 DO - 10.2991/978-94-6463-459-4_70 ID - Hu2024 ER -