scholarly journals Energy Consumption Trends and Decoupling Effects between Carbon Dioxide and Gross Domestic Product in South Africa

2015 ◽  
Vol 15 (7) ◽  
pp. 2676-2687 ◽  
Author(s):  
Sue-Jane Lin ◽  
Mohamed Beidari ◽  
Charles Lewis
Keyword(s):  
South Africa ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Domestic Product

scholarly journals The Impact of Selected Macroeconomic Variables on Carbon Dioxide (Co2) Emission in Malaysia

2018 ◽  
Vol 7 (4.15) ◽  
pp. 204
Author(s):  
Norimah Rambeli@Ramli ◽  
Norasibah Abdul Jalil ◽  
Emilda Hashim ◽  
Maryam Mahdinezhad ◽  
Asmawi Hashim ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emission ◽  
Oil Price ◽  
Domestic Product ◽  
Series Data ◽  
Carbon Dioxide Co2 ◽  
The Impact ◽  
Statistical Criteria

This study tries to investigate the relationship between gross domestic product, electricity product, net trade, electricity consumption and oil price on carbon dioxide (Co2) emission in Malaysia. Thus, it uses the Ordinary Least Square (OLS) method in structuring the model estimation. By utilizing yearly time series data from 1980 to 2017, this study focuses on economics and statistical criteria analyses. According to sign analysis, the results suggest that, gross domestic product, electricity product, net trade and energy consumption affect carbon dioxides (Co2) positively. In contrast, the oil price affects carbon dioxides (Co2) negatively. Furthermore, the results in statistical criteria conclude that the gross domestic product, electricity product and energy consumption are the dominant factors that influence carbon dioxides combustion in the long run in Malaysia.  

scholarly journals Time Series Analysis of Global Energy Indices: Logarithmic and Normalized Techniques for Developmental Studies

2022 ◽  
Vol 9 (1) ◽  
pp. 1-19
Author(s):  
S N Nnamchi ◽  
Z O Jagun ◽  
M A Ijomah ◽  
O A Nnamchi ◽  
J D Busingye
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Human Development ◽  
Human Development Index ◽  
Carbon Dioxide Emission ◽  
Oil Price ◽  
Domestic Product ◽  
Development Index ◽  
Energy Indices

Diverse opinions exist in the time series analysis of energy and related indices, difference in methodology, sample size, and time variation. This paper will make a conscious effort to converge the divergent outlooks. To accomplish this essential task, five energy indices consisting of energy consumption (EC), gross domestic product (GDP), carbon dioxide emission (CDE), the human development index (HDI), and oil price (OP) were selected. Two analytical methods were adopted, namely logarithmic and normalized techniques, which are designed to complement each other in drawing unfalsified statistical inference concerning the causality between the energy indices. The methods were subjected to four statistical tests and analyses: the augmented Dickey-Fuller, cointegration, pairwise Granger causality, and vector error correction model (VECM). Irrespective of prevailing challenges, both logarithmic and normalized techniques unanimously filtered out causalities. This consisted of neural flow between oil price and energy consumption, gross domestic product and carbon dioxide emission, and energy consumption and the human development index, unidirectional flow between energy consumption and the human development index, oil price and energy consumption, gross domestic product and carbon dioxide emission, and the human development index and oil price, whereas a normalized technique established bidirectional flow between gross domestic product and the human development index, and the human development index and oil price. Pertinently, the research suggests appropriate policies that will generate sustainable development in all the causal directions. Assiduously, the overwhelming agreement between both techniques at the 0.05 level is recommended for further validation with more modern econometric tests.

ANALISIS DETERMINAN KUALITAS LINGKUNGAN PERIODE 1999-2013

2016 ◽  
Vol 21 (1) ◽  
pp. 9-20
Author(s):  
Ersalina Tang
Keyword(s):  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Meat Consumption ◽  
Domestic Product ◽  
World Data ◽  
The World ◽  
The Impact

The purpose of this study is to analyze the impact of Foreign Direct Investment, Gross Domestic Product, Energy Consumption, Electric Consumption, and Meat Consumption on CO2 emissions of 41 countries in the world using panel data from 1999 to 2013. After analyzing 41 countries in the world data, furthermore 17 countries in Asia was analyzed with the same period. This study utilized quantitative approach with Ordinary Least Square (OLS) regression method. The results of 41 countries in the world data indicates that Foreign Direct Investment, Gross Domestic Product, Energy Consumption, and Meat Consumption significantlyaffect Environmental Qualities which measured by CO2 emissions. Whilst the results of 17 countries in Asia data implies that Foreign Direct Investment, Energy Consumption, and Electric Consumption significantlyaffect Environmental Qualities. However, Gross Domestic Product and Meat Consumption does not affect Environmental Qualities.

The relationship between energy consumption and gross domestic product in Hong Kong (1992–2015): Evidence from sectoral analysis and implications on future energy policy

2019 ◽  
Vol 31 (2) ◽  
pp. 215-236
Author(s):  
Ruixiaoxiao Zhang ◽  
Geoffrey QP Shen ◽  
Meng Ni ◽  
Johnny Wong
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Gross Domestic Product ◽  
Causal Relationship ◽  
Granger Causality ◽  
Value Added ◽  
Granger Causality Test ◽  
Domestic Product ◽  
Causality Test ◽  
Per Capita

The causal relationship between energy consumption and gross domestic product in Hong Kong from 1992 to 2015 is investigated in this study. Different from the previous studies focusing on the causal relationship between total energy consumption and total gross domestic product per capita, this study further investigates the causal relationship from sectoral perspective, including residential, commercial, industrial and transportation sectors. For each sector, the time series data of sectoral energy consumption and sectoral per capita value added are collected. To conduct the Granger causality test, the unit root test is first applied to analyse the stationarity of time series. The cointegration test is then employed to examine whether causal relationship exists in long-term. Finally, based on the aforementioned tests, both vector error correction model and vector autoregression model can be selected to determine the Granger causality between time series. It is interesting to find that the sectoral energy consumption and corresponding sectoral per capita value-added exhibit quite different causal relationships. For both residential sector and commercial sectors, a unidirectional causal relationship is found running from the sectoral per capita value added to sectoral energy consumption. Oppositely, for industrial sector and transportation sector, a unidirectional causal relationship is found running from sectoral energy consumption to sectoral per capita value added. Regarding the Granger causality test results, the indicative suggestions on energy conservation policies, energy efficiency policies and greenhouse gas emission reduction policies are discussed based on the background of Hong Kong’s economic structure and fuel types.

Sign in / Sign up

Export Citation Format

Share Document