What Best Explains Reporting Delays? A SME Population Level Study of Different Factors

The objective of this paper is to find out which factors best explain why SMEs delay their annual reports (DAR). Relying on various theoretical streams, we use three types of variables to explain DAR: past DAR behaviour of managers, corporate governance characteristics and occurrence of financial di...

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Main Authors: Oliver Lukason, María-del-Mar Camacho-Miñano
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/9/4663
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spelling doaj-aabe638b1d064c50947028cf1a75ab8b2021-04-22T23:02:18ZengMDPI AGSustainability2071-10502021-04-01134663466310.3390/su13094663What Best Explains Reporting Delays? A SME Population Level Study of Different FactorsOliver Lukason0María-del-Mar Camacho-Miñano1School of Economics and Business Administration, University of Tartu, 51009 Tartu, EstoniaAccounting and Finance Department, Complutense University of Madrid, 28223 Madrid, SpainThe objective of this paper is to find out which factors best explain why SMEs delay their annual reports (DAR). Relying on various theoretical streams, we use three types of variables to explain DAR: past DAR behaviour of managers, corporate governance characteristics and occurrence of financial distress. The study is based on the whole population data from Estonia, with a total 59,294 unique firms. Two types of DAR, i.e., short- and long-term delays, are used as dependent variables in the logistic regression analysis. The paper indicates that both types of today’s DAR are best explained by the previous DAR behaviour of managers, especially in the nearest past. Financial distress has a lower, but still acceptable explanatory power, while it remains weak for the corporate governance characteristics. Firm size and age have an impact on the results. As the paper indicates the prominence of recurrent violation behaviour in explaining DAR, the legal framework and its implementation could be adjusted to take account of this fact. The linkage of DAR and financial distress suggests the inclusion of the former into credit scoring models.https://www.mdpi.com/2071-1050/13/9/4663reporting delaysaccounting regulation violationmanagerial behaviourcorporate governancefinancial distressSMEs
collection DOAJ
language English
format Article
sources DOAJ
author Oliver Lukason
María-del-Mar Camacho-Miñano
spellingShingle Oliver Lukason
María-del-Mar Camacho-Miñano
What Best Explains Reporting Delays? A SME Population Level Study of Different Factors
Sustainability
reporting delays
accounting regulation violation
managerial behaviour
corporate governance
financial distress
SMEs
author_facet Oliver Lukason
María-del-Mar Camacho-Miñano
author_sort Oliver Lukason
title What Best Explains Reporting Delays? A SME Population Level Study of Different Factors
title_short What Best Explains Reporting Delays? A SME Population Level Study of Different Factors
title_full What Best Explains Reporting Delays? A SME Population Level Study of Different Factors
title_fullStr What Best Explains Reporting Delays? A SME Population Level Study of Different Factors
title_full_unstemmed What Best Explains Reporting Delays? A SME Population Level Study of Different Factors
title_sort what best explains reporting delays? a sme population level study of different factors
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-04-01
description The objective of this paper is to find out which factors best explain why SMEs delay their annual reports (DAR). Relying on various theoretical streams, we use three types of variables to explain DAR: past DAR behaviour of managers, corporate governance characteristics and occurrence of financial distress. The study is based on the whole population data from Estonia, with a total 59,294 unique firms. Two types of DAR, i.e., short- and long-term delays, are used as dependent variables in the logistic regression analysis. The paper indicates that both types of today’s DAR are best explained by the previous DAR behaviour of managers, especially in the nearest past. Financial distress has a lower, but still acceptable explanatory power, while it remains weak for the corporate governance characteristics. Firm size and age have an impact on the results. As the paper indicates the prominence of recurrent violation behaviour in explaining DAR, the legal framework and its implementation could be adjusted to take account of this fact. The linkage of DAR and financial distress suggests the inclusion of the former into credit scoring models.
topic reporting delays
accounting regulation violation
managerial behaviour
corporate governance
financial distress
SMEs
url https://www.mdpi.com/2071-1050/13/9/4663
work_keys_str_mv AT oliverlukason whatbestexplainsreportingdelaysasmepopulationlevelstudyofdifferentfactors
AT mariadelmarcamachominano whatbestexplainsreportingdelaysasmepopulationlevelstudyofdifferentfactors
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