Analysis of Causality Relationship Energy Consumption and CO2 Emissions to Economic Growth based on the LEAP Model (Case Study of Energy Consumption in Indonesia 2010-2025)
被引:4
|
作者:
Nugrahanto, Candra Arie
论文数: 0引用数: 0
h-index: 0
机构:
Diponegoro Univ, Sch Postgrad Studies, Magister Program Energy, Semarang, IndonesiaDiponegoro Univ, Sch Postgrad Studies, Magister Program Energy, Semarang, Indonesia
Nugrahanto, Candra Arie
[1
]
Windarta, Jaka
论文数: 0引用数: 0
h-index: 0
机构:
Diponegoro Univ, Sch Postgrad Studies, Magister Program Energy, Semarang, IndonesiaDiponegoro Univ, Sch Postgrad Studies, Magister Program Energy, Semarang, Indonesia
Windarta, Jaka
[1
]
Aminata, Jaka
论文数: 0引用数: 0
h-index: 0
机构:
Diponegoro Univ, Sch Postgrad Studies, Magister Program Energy, Semarang, IndonesiaDiponegoro Univ, Sch Postgrad Studies, Magister Program Energy, Semarang, Indonesia
Aminata, Jaka
[1
]
机构:
[1] Diponegoro Univ, Sch Postgrad Studies, Magister Program Energy, Semarang, Indonesia
Energy Economic;
Economic Growth;
Energy Consumption;
CO2;
Emission;
D O I:
10.1051/e3sconf/20187301002
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
This study discusses scenarios and analyzes the causal relationship of energy consumption and CO2 emissions to economic growth in Indonesia period 2010-2025. The modeling scenario is divided into 6 sections, namely BAU scenario, High scenario, Low scenario, High-Low scenario, Low-High scenario and Policy scenario. The result of scenario data is processed by performing statistical data modeling and econometric period 2010-2025. The research method used interpolation method and causality testing method. The tools are used in this research is LEAP and EViews. LEAP is used for energy modeling as well as CO2 emissions and EViews is used to manage data, analyze econometrics and statistics. The results of this study show that economic growth, energy consumption and CO2 emissions at 6 scenario indicate fluctuated competitive growth. This study proves that only 1 scenario has direct causality relationship that is only energy consumption which statistically significant influence economic growth in Policy scenario. For economic growth and CO2 emissions there are 4 scenarios that have direct causality (BAU, High, High-Low, Low-High scenario), 1 scenario has no causality relationship (Low scenario) and 1 scenario has two-way causality relationship (Policy scenario).
机构:
Ankara Yildirim Beyazit Univ, Dept Econ, Fac Polit Sci, Cubuk Ankara, TurkeyAnkara Yildirim Beyazit Univ, Dept Econ, Fac Polit Sci, Cubuk Ankara, Turkey
Gorus, Muhammed Sehid
Aydin, Mucahit
论文数: 0引用数: 0
h-index: 0
机构:
Sakarya Univ, Dept Econometr, Fac Polit Sci, Esentepe Campus, Serdivan Sakarya, TurkeyAnkara Yildirim Beyazit Univ, Dept Econ, Fac Polit Sci, Cubuk Ankara, Turkey
机构:
Charles Darwin Univ, Asia Pacific Coll Business & Law, Waterfront Campus, Darwin, NT, AustraliaCharles Darwin Univ, Asia Pacific Coll Business & Law, Waterfront Campus, Darwin, NT, Australia
Jayasinghe, Maneka
Selvanathan, Eliyathamby A.
论文数: 0引用数: 0
h-index: 0
机构:
Griffith Univ, Griffith Business Sch, Nathan Campus, Nathan, Qld, Australia
Griffith Asia Inst, Nathan Campus, Nathan, Qld, AustraliaCharles Darwin Univ, Asia Pacific Coll Business & Law, Waterfront Campus, Darwin, NT, Australia