Wahyu Ario Pratomo
Fakultas Ekonomi dan Bisnis, Universitas Sumatera Utara

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Anomali pengaruh sektor industri terhadap tingkat kemiskinan di Indonesia Arif Rahman; Sirojuzilam Sirojuzilam; Wahyu Ario Pratomo; Inggrita Gusti Sari Nasution; Wahyu Sugeng Imam Soeparno; Sukma Hayati Hakim; Muhammad Syafii
SOROT Vol 17, No 2 (2022)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/sorot.17.2.91-103

Abstract

Kontribusi sektor industri terhadap perekonomian yang cenderung menurun, juga diikuti dengan penurunan kemiskinan dalam pengamatan yang cukup panjang. Tren yang searah ini menjadi salah satu pemantik untuk menelusuri lebih dalam pengaruh sektor industri, dan beberapa variabel prediktor lainnya terhadap kemiskinan. tujuan dari penelitian ini adalah untuk menganalisis pengaruh jangka pendek dan jangka panjang dari sektor industri, pertanian, konsumsi rumah tangga, konsumsi pemerintah, dan PMTB terhadap tingkat kemiskinan di Indonesia tahun 2000-2021. Data diperoleh dari publikasi BPS, dengan metode analisis desktriptif kuantitatif dengan pendekatan Error Correction Model. Berdasarkan uji derajat integrasi diketahui bahwa data stasioner pada orde kedua. Pengujian residual Engle-Granger memperoleh hasil bahwa data pada tingkat level terdapat kointegrasi. Hasil regresi pada sektor industri justru menunjukkan pengaruh yang positif signifikan baik dalam jangka panjang maupun jangka pendek. Konsumsi rumah tangga berpengaruh negatif baik jangka panjang maupun jangka pendek. Kemudian, PMTB memiliki pengaruh signifikan dalam jangka pendek, namun semakin melemah dalam jangka panjang. Sedangkan konsumsi pemerintah dan sektor pertanian tidak berpengaruh signifikan terhadap tingkat kemiskinan di Indonesia.The contribution of the industrial sector to the economy which tends to decline, is also followed by a decrease in poverty in a long period of observation. This unidirectional trend is one of the triggers to explore more deeply the influence of the industrial sector, and several other predictor variables on poverty. The purpose of this study is to analyze the short-term and long-term effects of the industrial sector, agriculture, household consumption, government consumption, and PMTB on the poverty rate in Indonesia in 2000-2021. Data obtained from BPS publications, using quantitative descriptive analysis method with Error Correction Model approach. The regression results in the industrial sector actually show a significant positive effect both in the long and short term. Household consumption has a negative effect both in the long and short term. Then, PMTB has a significant effect in the short term, but weakens in the long term. Meanwhile, government consumption and the agricultural sector have no significant effect on the poverty rate in Indonesia.
The Influence of Efficiency on Interest Rate Loan in Indonesia Banking in regards to The Implementation of Expected Credit Losses Syarief Fauzie; Wahyu Sugeng Imam Soeparno; Wahyu Ario Pratomo
Journal of Governance Risk Management Compliance and Sustainability Vol. 2 No. 1 (2022): April
Publisher : Center for Risk Management & Sustainability and RSF Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.332 KB) | DOI: 10.31098/jgrcs.v2i1.910

Abstract

The purpose of this study is to determine the effect of efficiency on loan interest rates at banks listed on the Indonesia Stock Exchange and their impact before and after the implementation of Expected Credit Losses in Indonesia. The analysis method of this research uses panel data regression with a random effect model to see the effect of efficiency on loan interest rates. The sample of this study uses 22 banks listed on the Indonesia Stock Exchange where the source of research data is from the Bloomberg Finance Lab, Diponegoro University. Efficiency has more influence on loan interest rates before the implementation of expected credit losses than after the implementation. In determining loan interest rates, banks tend to prefer to use credit risk compared to efficiency by looking at the potential profit obtained from looking at the comparison of interbank loan interest rates. These results show that loan interest rates are not easily lowered as a consequence of monetary policy. The results of this study also show that expected credit loss can reduce loan interest rates so that banks are more likely to increase credit risk by increasing loan supply.