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The determinants of business contribution to the 2030 Agenda: Introducing the SDG Reporting Score
Abstract
Within the 2030 Agenda, the United Nations have explicitly required that the Member States introduce within their jurisdictions new forms of regulations about non‐financial reporting practices. The aim of this paper is to investigate the effects related to the transposition of Directive 2014/95/EU by analyzing firm‐level, governance‐level, and report‐level determinants of business reporting on the Sustainable Development Goals (SDGs). To conduct such an analysis, this study defines and introduces the SDG Reporting Score (SRS)—a qualitative proxy representing a firm orientation toward SDG reporting. The study sample includes the non‐financial reports of 153 Italian Public Interest Entities. The results show a positive relationship between a firm's SRS and various determinants, such as the presence of independent directors on the board, expertise with non‐financial reporting, and length of the report. Finally, the highest levels of SRS are achieved by firms operating in environmental sensitive sectors.
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Nicolo', G., Zampone, G., De Iorio, S., & Sannino, G. (2024) · Journal of International Financial Management & Accounting · doi:10.1111/jifm.12194 · Cited by 134
Metadata
- Authors
- Pizzi, S., Rosati, F., & Venturelli, A.
- Venue
- Business Strategy and the Environment
- Publisher
- Wiley
- Published
- 2020-09-14
- Volume
- 30
- Issue
- 1
- Pages
- 404-421
- ISSN
- 0964-4733 (ISSN-L)
- 1099-0836
- OpenAlex
- W3087718493
- Cited by
- 426
- References
- 134
- FWCI
- 49.06
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.