Research Article
The Effect of Disclosure on Corporate Social Responsibility (CSR), Firm Life Cycle, Return on Assets (ROA), and Total Assets Turnover (TATTO) on the Prediction of Financial Distress (Case Study on Property, Real Estate and Building Construction Sector Companies 2013-2020 Period)
@INPROCEEDINGS{10.4108/eai.30-10-2021.2315851, author={Tri Winarno and Meirinaldi Meirinaldi and Pudji Astuty}, title={The Effect of Disclosure on Corporate Social Responsibility (CSR), Firm Life Cycle, Return on Assets (ROA), and Total Assets Turnover (TATTO) on the Prediction of Financial Distress (Case Study on Property, Real Estate and Building Construction Sector Companies 2013-2020 Period)}, proceedings={Proceedings of the First Multidiscipline International Conference, MIC 2021, October 30 2021, Jakarta, Indonesia}, publisher={EAI}, proceedings_a={MIC}, year={2022}, month={1}, keywords={disclosure of corporate social responsibility; csr; firm life cycle; return on assets; roa; total assets turnover; tato; financial distress; logistic regression}, doi={10.4108/eai.30-10-2021.2315851} }- Tri Winarno
Meirinaldi Meirinaldi
Pudji Astuty
Year: 2022
The Effect of Disclosure on Corporate Social Responsibility (CSR), Firm Life Cycle, Return on Assets (ROA), and Total Assets Turnover (TATTO) on the Prediction of Financial Distress (Case Study on Property, Real Estate and Building Construction Sector Companies 2013-2020 Period)
MIC
EAI
DOI: 10.4108/eai.30-10-2021.2315851
Abstract
This study was conducted to analyze the effect of disclosure on Corporate Social Responsibility (CSR), Firm Life Cycle, Return On Assets (ROA), and Total Assets Turnover (TATO) on predictions of Financial Distress in property, real estate, and building construction sector companies listed in Indonesia. Indonesia Stock Exchange (IDX) for the period 2013-2020 using logistic regression. The type of data used is secondary data obtained from the Indonesian Stock Exchange (IDX). The total population in this study was 64 companies in the property, real estate, and building construction sectors listed on the Indonesia Stock Exchange (IDX) for 2013-2020. The sampling technique is purposive sampling, with a total sample of 10 companies. Five companies are companies that experience Financial Distress conditions, and five other companies are companies that do not experience Financial Distress conditions, which are determined by the results of the Altman Z-Score calculation. The results of the significant simultaneous test seen in the Omnibus Test of Model show an effect of CSR disclosure, Firm Life Cycle, ROA, and TATO in predicting Financial Distress. While partially, the ROA variable has a negative and significant impact in predicting Financial Distress, TATO has a positive and significant effect in predicting Financial Distress, CSR disclosure, and Firm Life Cycle has no effect in predicting Financial Distress.