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Does designing environmental sustainability disclosure quality measures make a difference?
Author(s) -
Helfaya Akrum,
Whittington Mark
Publication year - 2019
Publication title -
business strategy and the environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.123
H-Index - 105
eISSN - 1099-0836
pISSN - 0964-4733
DOI - 10.1002/bse.2262
Subject(s) - ranking (information retrieval) , quality (philosophy) , proxy (statistics) , measure (data warehouse) , scope (computer science) , sustainability , accounting , information quality , business , computer science , actuarial science , environmental economics , marketing , economics , information system , data mining , information retrieval , engineering , ecology , philosophy , epistemology , machine learning , biology , electrical engineering , programming language
Assessing the quality of information disclosed by companies is a complex task. Accounting studies usually rely on analysing the content of corporate reports using measures to obtain a proxy for the information reported by companies. However, there is no consensus about the best design for these measures. The objective of the current paper is to investigate if there are significant differences in the results generated from seven alternative measures for assessing the quality of FTSE100 environmental sustainability reporting. Seven measures/indices have been used to assess disclosure quality. The three unidimensional measures include two “quantity measures” and one “scope measure” that measure the volume and width/coverage of information, respectively. Three compound measures are adopted from the literature, and the final measure is a multidimensional quality model, based on the results of a questionnaire ascertaining the perceptions of 86 preparers and 177 users of annual report (AR) and/stand‐alone corporate responsibility report (CRR). Although the results of the empirical analysis indicate that the measures are significantly correlated, the choice of a specific method can result in the very different ranking of companies. The evidence presented indicates that the choice of measure is of key importance.