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Dim Zarita Suryanugraha
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Economics, Econometrics & Finance

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Analisa Prediksi Kebangkrutan Perusahaan (Financial Distress) Menggunakan Metode Altman Z-Score Pada BPR Dan BPRS Kota Dan Kabupaten Tasikmalaya Jawa Barat 2019 – 2023 Dim Zarita Suryanugraha; Noneng Masitoh
AKUNTANSI 45 Vol. 6 No. 1 (2025): Jurnal Ilmiah Akuntansi
Publisher : Fakultas Ekonomi Program Studi Akuntansi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/akuntansi45.v6i1.4225

Abstract

Corporate bankruptcy is rarely sudden, it often arrives with warning signs that go unnoticed. This study analyzes financial vulnerability in 11 BPR and BPRS in Tasikmalaya by applying the Altman Z-Score model during the 2019–2023 period. The findings reveal that three institution fell into the distress zone in 2023. The decline in Z-Scores was triggered by key financial variables such as negative operating income (EBIT), negative retained earnings, and decreased net working capital. These results present strategic implications not only for internal management, but also for regulators such as the Financial Services Authority (OJK), and the wider public as financial service users. Through a descriptive quantitative approach, this research confirms that early detection of bankruptcy is not only possible but urgent, in order to safeguard the stability of micro-financial institutions and support sustainable regional economic development.
DYNAMICS OF CARBON EMISSIONS IN ASEAN: PANEL ARDL APPROACH Nugraha, Galih; Dodi Tirtana; Muhammad Nurhikmat; Dim Zarita Suryanugraha
Ekspansi: Jurnal Ekonomi, Keuangan, Perbankan, dan Akuntansi Vol 17 No 2 (2025)
Publisher : Accounting Department, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ekspansi.v17i2.6713

Abstract

This study analyzes the short- and long-run relationship between economic growth, population, manufacturing, foreign direct investment (FDI), and deforestation on carbon emissions in ASEAN countries, one of the fastest-growing economic regions. Using annual panel data from 1991–2023 for nine countries, this study adopts the Panel Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) approaches. Diagnostic tests, including the Im Pesaran, & Shin (IPS) unit root test, confirmed the model's validity with variables having mixed orders of stationarity. The ECM estimation results show a significant long-run cointegration relationship. In the long run, GDP per capita, population, and the manufacturing sector have a positive and significant effect on carbon emissions. In contrast, FDI has a negative and significant impact. Furthermore, the Panel Granger causality test showed that no independent variable can significantly predict changes in carbon emissions. Overall, these findings provide an empirical basis for policies that balance economic and environmental aspirations. The main implication is the importance of formulating a strategy to decouple growth from emissions through an efficient industrial transition and by attracting sustainable investment.
Co-Authors Dodi Tirtana Galih Nugraha Masitoh, Noneng Muhammad Nurhikmat