A meta-analysis of the causal interpretation of enterprise green innovation: A structural theoretical model.

Fanbo Li, Hongfeng Zhang, Linlu Weng, Haoqun Yan
Author Information
  1. Fanbo Li: School of Social Sciences, Tsing Hua University, China.
  2. Hongfeng Zhang: Faculty of Humanities and Social Sciences, Macao Polytechnic University, China.
  3. Linlu Weng: Faculty of Humanities and Social Sciences, Macao Polytechnic University, China.
  4. Haoqun Yan: Faculty of Humanities and Social Sciences, Macao Polytechnic University, China.

Abstract

The escalating environmental challenges have compelled corporations to embark on green innovation initiatives, establishing this as a pivotal strategy for attaining economic sustainability. Yet, there remains a lack of consensus within the scholarly community regarding the precursors and outcomes of green innovation. This research leverages Giddens' structuration theory and employs meta-analytical methods to elucidate the determinants and effects of corporate green innovation. Initially, the study synthesizes 288 effect sizes from 161 distinct scholarly articles, spanning from 2012 to early 2023, guided by the structuration framework. This comprehensive analysis corroborates the influence of several structuration theory antecedents on green innovation, thereby offering fresh empirical backing for the theory. Subsequently, it scrutinizes the link between green innovation and its impacts, evaluated through economic and environmental performance lenses. Furthermore, the research contrasts the meta-analytical findings across large-scale and smaller enterprises, underscoring notable disparities in the dynamics of green innovation across different organizational contexts. This inquiry not only reaffirms the theoretical constructs of structuration theory, such as spatialization, subjectification, and structuration, but also integrates these notions with quantifiable variable models. The paper posits that structuration theory could underpin a theoretical framework for dissecting the influential variables associated with green innovation, thereby fostering further academic investigation into corporate environmental innovation.

Keywords

References

  1. Heliyon. 2023 Oct 16;9(11):e21083 [PMID: 37942145]
  2. Heliyon. 2023 Sep 21;9(10):e20278 [PMID: 37767495]
  3. Environ Sci Pollut Res Int. 2022 Aug;29(40):60024-60034 [PMID: 35414156]
  4. J Environ Manage. 2024 Feb;351:119614 [PMID: 38043309]
  5. Environ Sci Pollut Res Int. 2021 Oct;28(40):57386-57397 [PMID: 34089450]
  6. Environ Sci Pollut Res Int. 2022 Feb;29(9):12740-12755 [PMID: 32592052]
  7. Int J Environ Res Public Health. 2021 Aug 28;18(17): [PMID: 34501671]
  8. Res Int Bus Finance. 2021 Oct;57:101396 [PMID: 33558782]
  9. Environ Sci Pollut Res Int. 2021 Sep;28(34):46116-46129 [PMID: 33410010]
  10. J Environ Manage. 2021 Dec 15;300:113695 [PMID: 34649325]
  11. Environ Syst Decis. 2021;41(4):577-593 [PMID: 34155474]

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