Skip to content
Research Article Open access CC BY 4.0

Estimates Model of Factors Affecting Financial Distress: Evidence from Indonesian State-owned Enterprises

Aminullah Assagaf, Etty Murwaningsari, Juniati Gunawan, Sekar Mayangsari

Asian Journal of Economics, Business and Accounting · pp. 1–19 · Published 24 May 2019

10.9734/ajeba/2019/v11i330131

Abstract

This study as a model estimation of factors that influence the financial distress of State-Owned Enterprises. This study contributes to the gap in an earlier study using a logistic model which classifies companies with indicators one for companies experiencing financial distress and a zero for the company is not experiencing financial distress, so it is not possible to do research specifically on one group of firms, for example, companies that experience financial distress. This study uses a marginal approach in measuring financial distress that is proxy with a marginal score with a more realistic and proven mathematics and accounting calculations. For the company's management with state, companies can use these results as a reference in evaluating the achievements of past operating performance, or to formulate strategies and policies in the future of corporate planning in order to achieve the level of marginally better scores or financial distress. This study needs to be continued by using secondary data corresponding realization of audited financial statements, so the result is more realistic and relevant because it uses the data of financial statements that meet the accounting standards.

Government subsidy cash flow and financial distress

Cited by 11

KOMITE AUDIT, FINANCIAL DISTRESS, DAN MANAJEMEN LABA: STUDI EMPIRIS PADA BADAN USAHA MILIK NEGARA DI INDONESIA

Fajar Gustiawaty Dewi, Agrianti Komalasari, Liza Alvia · Jurnal Akuntansi dan Keuangan · 2024

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

11

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.