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Approaches on the Screening Methods for Materiality in Sustainability Reporting

Authors: Susie Wu; Changliang Shao; Jiquan Chen;

Approaches on the Screening Methods for Materiality in Sustainability Reporting

Abstract

Recent decades have seen a surge in corporate sustainability reports (SRs); their proliferation, however, does not ensure effective and consistent reporting on materiality. To improve the completeness, consistency and uniformity of SRs, this study aims at providing a review on the definition and identification of materiality and to propose screening methods for materiality assessments using publicly available resources. We found that most acknowledged standards and initiatives diverge in their definitions and approaches towards materiality. Four screening methods are proposed, including two that are directly usable: (1) Sustainability Accounting Standards Board Materiality Map™ and (2) Global Reporting Initiative (GRI) Sustainability Topics for Sectors; and two involving more desktop research: (3) GRI’s Sustainability Disclosure Database and (4) modeling from a life-cycle perspective. The second and third approaches are tested through a comparison study for the apparel and energy industries in selected regions using content analysis. The results indicate that the two approaches, with different levels of complexity, yield inconsistency in obtaining the most (i.e., the top three) material topics. The GRI’s Sustainability Disclosure Database is recommended for practitioners due to its balanced disclosure on management, economic, environmental and social sustainability themes.

Keywords

sustainability reporting, content analysis, Environmental effects of industries and plants, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, global Reporting Initiative, GE1-350, materiality

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    29
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
gold