Going Concern Opinion: Faktor Mikro Perusahaan Sub Sektor Transportasi 2019-2023

This study aims to analyze the company's micro factors that influence the acceptance of going concern opinions from independent auditors. This study is a quantitative inferential study. The variables studied are company growth, liquidity, leverage and financial distress as micro factors and going concern opinions from independent auditors. Secondary data used are financial reports and annual reports of transportation sub-sector companies for the period 2019-2023. Data was obtained through the website of PT Bursa Efek Indonesia. The sample used was 12 transportation sub-sector companies with an observation period of 5 years, 60 observation data were obtained. Data analysis used logistic regression with data feasibility tests in the form of Overall model fit and Goodness of fit tests, coefficient of determination, and hypothesis testing using the Wald Test. The results show that company growth and liquidity do not affect going concern opinions with p-values ​​of 0,549 and 0,065. Leverage and financial distress have a effect on going concern opinions with p-values ​​of 0,013 and 0,007. Auditors do not necessarily use company growth and liquidity in providing a going concern audit opinion because bad conditions do not necessarily mean experiencing financial difficulties and it is necessary to look at the financial condition from other ratios. While leverage and financial distress are the company's financial conditions that can be used as indicators of long-term financial difficulties. Leverage and financial distress are among those used by auditors as the basis for providing a going concern audit opinion.

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Publication Details

Journal
Ekonomi Keuangan Investasi dan Syariah (EKUITAS)
Published
2025-05-05
DOI
https://doi.org/10.47065/ekuitas.v6i4.7213
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Going Concern Opinion: Faktor Mikro Perusahaan Sub Sektor Transportasi 2019-2023

Desiana Rachmawati, Zenita Kurniasari, Chika Amelia Kinanti, Alifiya Nur Agustin
1 links
Ekonomi Keuangan Investasi dan Syariah (EKUITAS)
Management and Optimization Techniques
article

Going Concern Opinion: Faktor Mikro Perusahaan Sub Sektor Transportasi 2019-2023

Desiana Rachmawati, Zenita Kurniasari, Chika Amelia Kinanti, Alifiya Nur Agustin
article en

Abstract

This study aims to analyze the company's micro factors that influence the acceptance of going concern opinions from independent auditors. This study is a quantitative inferential study. The variables studied are company growth, liquidity, leverage and financial distress as micro factors and going concern opinions from independent auditors. Secondary data used are financial reports and annual reports of transportation sub-sector companies for the period 2019-2023. Data was obtained through the website of PT Bursa Efek Indonesia. The sample used was 12 transportation sub-sector companies with an observation period of 5 years, 60 observation data were obtained. Data analysis used logistic regression with data feasibility tests in the form of Overall model fit and Goodness of fit tests, coefficient of determination, and hypothesis testing using the Wald Test. The results show that company growth and liquidity do not affect going concern opinions with p-values ​​of 0,549 and 0,065. Leverage and financial distress have a effect on going concern opinions with p-values ​​of 0,013 and 0,007. Auditors do not necessarily use company growth and liquidity in providing a going concern audit opinion because bad conditions do not necessarily mean experiencing financial difficulties and it is necessary to look at the financial condition from other ratios. While leverage and financial distress are the company's financial conditions that can be used as indicators of long-term financial difficulties. Leverage and financial distress are among those used by auditors as the basis for providing a going concern audit opinion.

Ekonomi Keuangan Investasi dan Syariah (EKUITAS)Vol. 6(4)
Openalex Percentile: Top 77%
Management and Optimization Techniques
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