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Factors influencing carbon emissions in Indonesia : Dynamic model approach Nano Prawoto; Agus Tri Basuki
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3769

Abstract

This study aims to determine the relationship between GRDP growth, Gross Fixed Capital Formation, trade value, added value of the industrial sector and energy consumption to increasing carbon dioxide emissions in Indonesia. The secondary data used for research comes from World Development Indicators, the Indonesian Central Bureau of Statistics, and regional financial reports for the period 1988-2020. The analytical tool used in this study uses the Error Correction Model regression to analyze short-term and long-term relationships between research variables. The results of the study show that in the long term GDRP growth, industrial added value, and energy consumption are the main drivers of increasing carbon dioxide emissions in Indonesia. In the short term, growth in GDRP and consumption of petroleum are driving increased carbon dioxide emissions. The government must be firm with the Presidential Regulation concerning the Application of Carbon Economic Value to Achieve Nationally Determined Contribution Targets and Control of Greenhouse Gas Emissions in National Development. The basic principles and strategies that the government must pay attention to are reducing emissions in urban transportation by limiting the number of vehicles that are not roadworthy and diverting fossil energy to electricity.
The FACTORS AFFECTING REGIONAL ORIGINAL INCOME IN WEST NUSA TENGGARA Agus Tri Basuki; Titanika Kharisma
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 2 No. 1 (2024): January
Publisher : Adisam Publisher

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Abstract

This research aims to analyze the influence of Gross Regional Domestic Product (GRDP), investment, government expenditure, and population on Regional Original Income (PAD) in West Nusa Tenggara (NTB) case study 2010-2022. The analytical tool used in this research is panel data regression with the Random Effect Model (REM). The research results show that GRDP has a negative and significant effect on Original Regional Income (PAD), investment has a positive and significant effect on Original Regional Income (PAD), government spending is not significant on Original Regional Income (PAD), and population has a positive and significant effect on Income. Regional Original (PAD). Regional governments must encourage investment to increase local original income. Apart from that, the government must also evaluate regional spending which cannot encourage an increase in PAD.
Analysis Of the Effect of Internal Performance on Bank Profitability Agus Tri Basuki; Arif Rahman
International Journal of Social Science, Education, Communication and Economics (SINOMICS Journal) Vol. 3 No. 1 (2024): April
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sj.v3i1.294

Abstract

This study aims to determine the effect of CAR, LDR, NPL, BOPO, and Bank Size. This study uses quantitative methods and panel data regression models to investigate how internal factors or bank ratios affect the profitability of KBMI 3 and 4 banks in Indonesia. The research sample consisted of 8 KBMI banks 3 and 4 using Purposive Sampling covering the 2015-2022 period. The estimation method in the selected panel data is the Fixed Effect Model approach. The results of this study show that the profitability of Bank KBMI 3 and 4, as measured by ROA, partially LDR variables have a significant positive influence, BOPO and Asset Size have a significant negative influence, CAR and NPL do not have a significant and negative effect, while simultaneously have a significant influence. The findings of this study provide empirical evidence regarding the effect of financial ratio variables or internal bank factors on the profitability of Bank KBMI 3 and 4, which in turn can be useful for policy makers, academics, and investors.