The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Green innovation to respond to environmental regulation: How external knowledge adoption and green absorptive capacity matter?
Abstract
Although environmental regulations have been considered as important forces of conducting green innovation, how and under what conditions they affect green innovation are still unclear. Drawing from institutional theory, this study used survey data from 237 manufacturing firms in China to investigate how two dimensions of environmental regulations (i.e., command and control regulation and market‐based regulation) affect green product innovation and green process innovation. Further, this article examined the mediating role of external knowledge adoption and the moderating role of green absorptive capacity. Our results indicate that both command and control regulation and market‐based regulation have positive influences on external knowledge adoption. External knowledge adoption fully mediates these positive relationships. In addition, green absorptive capacity only strengthens the positive impact of market‐based regulation on external knowledge adoption. Our study contributes to institutional theory and green innovation literature.
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Cited by
Sahoo, S., Kumar, A., & Upadhyay, A. (2023) · Business Strategy and the Environment · doi:10.1002/bse.3160 · Cited by 606
Awan, U., Arnold, M. G., & Gölgeci, I. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2684 · Cited by 452
Badghish, S., & Soomro, Y. A. (2024) · Sustainability · doi:10.3390/su16051864 · Cited by 261
Mustafa, F., Smolarski, J., & Elamer, A. A. (2025) · Business Strategy and the Environment · doi:10.1002/bse.70090 · Cited by 51
Metadata
- Authors
- Zhang, J., Liang, G., Feng, T., Yuan, C., & Jiang, W.
- Venue
- Business Strategy and the Environment
- Publisher
- Wiley
- Published
- 2019-06-25
- Volume
- 29
- Issue
- 1
- Pages
- 39-53
- ISSN
- 0964-4733 (ISSN-L)
- 1099-0836
- OpenAlex
- W2955882674
- Cited by
- 499
- References
- 81
- FWCI
- 41.15
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
