This study aims to analyze the impact of the COVID-19 pandemic on the prediction of company bankruptcy in Indonesia, with financial conditions before 2020 (cash position and debt position) as moderating variables. Relationship between variables was tested using a logistic regression analysis model test with a moderation model. The population in this study are manufacturing companies listed on the Indonesia Stock Exchange. A total of 169 samples were obtained using purposive sampling with the criteria: listed on the IDX in 2020, had financial information for 2019-2020, and the company reported information disclosure regarding the impact of the pandemic. The results show that companies with a high impact of the COVID-19 pandemic will be more predicted to go bankrupt, furthermore the cash position and debt ratio in 2019 have no moderating effect. Keywords: Bankruptcy, Liquidity, Leverage, Pandemic COVID-19
This study aims to investigate the effect of corporate governance and leverage towards tax aggressiveness. The research data comprises 66 firm-year obtained from 11 mining companies during 2013-2018. They were sorted using a purposive sampling method. The hypotheses were tested using multiple regression analysis. The results indicate that institutional ownership and audit committee had a positive and significant effect on tax aggressiveness, the proportion of independent commissioners and audit quality had a negative and significant effect on tax avoidance, while leverage was not considered as a determinant of tax avoidance in Indonesian manufacturing firms.
Tujuan dari penelitian ini adalah untuk melihat bagaimana kualitas laporan keuangan di Indonesia. Kualitas laporan keuangan dalam penelitian ini kemudian dianalisis berdasarkan ukuran perusahaan dan kelompok industrinya. Penelitian berfokus pada perusahaan yang terdaftar di Bursa Efek Indonesia kecuali perusahaan sektor keuangan. Metode yang digunakan dalam penelitian ini ialah metode deskriptif menggunakan pendekatan kuantitatif. Analisis data yang digunakan ialah analisis crosstab. Aspek kualitas laporan keuangan dalam penelitian dianalisis dari aspek manajemen laba (penghindaran kerugian, penghindaran penurunan laba, akrual) serta kualitas audit (opini audit, ukuran KAP, sertafee audit). Aspek-aspek tersebut kemudian dirangkum dalam Financial Reporting Quality Index (FRQI). Penelitian ini menilai kualitas laporan keuangan secara komprehensif menggunakan indeks terbaru yang sudah mengakomodasi berbagai elemen pelaporan keuangan. Berdasarkan masing-masing kategori laporan keuangan yang paling tinggi diduduki oleh kelompok perusahaan berukuran sangat kecil, kelompok peusahaan berumur menengah dan kelompok industri manufaktur.Sedangkan laporan keuangan yang paling rendah dari masing-masing kategori diduduki oleh kelompok perusahaan berukuran kecil, kelompok perusahaan berumur tua dan kelompok industri sektor utama. Penelitian ini dapat digunakan sebagai acuan bagi pembaca/pengguna laporan keuangan dan investor ketika akan melakukan keputusan ekonomis. Kata kunci : kualitas laporan keuangan, manajemen laba, kualitas audit ABSTRACT The purpose of this research is to identify the financial reporting quality in Indonesia. In this research, the financial reporting quality is analyzed based on scales of companies and their industries. The research focuses on companies which are registered in Indonesia Stock Exchange, excludes companies which engage in financial sectors. The research focused on companies listed on the Indonesia Stock Exchange totaling 599 companies except financial sector companies. This research was used the descriptive method by a quantitative approach. The populations were 599 companies. Purposive sampling technique was conducted to get the samples where the companies must have the criteria needed in this research. Secondary data was used to present information which was served in a financial report. Data analyzing used crosstab analysis. The quality aspects of the financial report are profit management aspect (loss
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.