Decoupling Analysis of Economic Growth and Total Primary Energy Supply for the BRICS: 1971-2008

2011 ◽  
Vol 84-85 ◽  
pp. 765-769
Author(s):  
He Ming Wang ◽  
Qiang Yue ◽  
Zhong Wu Lu
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Energy Consumption ◽  
Energy Supply ◽  
Primary Energy ◽  
Resource Consumption ◽  
Gdp Growth ◽  
Decoupling Analysis ◽  
Primary Energy Supply ◽  
Total Resource

The decoupling conditions of GDP and Total Primary Energy Supply (TPES) for the BRICS in the period 1971-2008 were analyzed. It is concluded that in the studied period, the decoupling indicators of China and Russia are relatively higher than that of Brazil, South Africa and India. The BRICS’s decoupling distribution is similar to China, because China accounts for most part of TPES and GDP of the BRICS. To restrain the total resource or energy consumption from increasing too fast, it is suggested to match the indicators of GDP growth and the decreasing rate of resource consumption per unit of GDP appropriately.

scholarly journals Evaluation of decoupling of GDP and energy in Central Asia

2021 ◽  
Vol 899 (1) ◽  
pp. 012029
Author(s):  
A Junissov ◽  
A Bekaliyev ◽  
A Adamov ◽  
S G Poulopoulos
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Central Asia ◽  
Carbon Dioxide Emissions ◽  
Primary Energy ◽  
Asian Countries ◽  
Environmental Pressure ◽  
Central Asian ◽  
Central Asian Countries ◽  
Primary Energy Supply

Abstract Currently, economic growth remains the main criterion of development. However, it does come along with threats to the environment, due to its link to the increased energy consumption and carbon dioxide emissions. Decoupling can be used to break this link and stop jeopardizing the environment in the favor of economic progress. This paper focuses on the decoupling between economic growth and energy consumption in each of five Central Asian countries – Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan – from 1990 to 2014. The Tapio decoupling model was implemented in order to determine the decoupling states for each country. Gross domestic product (GDP) was used to represent the economic growth, and the total primary energy supply (TPES) described the environmental pressure. These data were obtained from the IKE World Energy Balances. Both the GDP and the TPES of most of the Central Asian countries had a parabolic trend of initial drop and further increase during the timespan analyzed. This observation can be explained by the collapse of USSR and the transition to market economy. The results of the decoupling analysis can be divided into two stages for Kazakhstan, Turkmenistan, and Uzbekistan, and into three stages for Kyrgyzstan and Tajikistan, with several different decoupling states observed during each stage. According to the results, the main decoupling states in Central Asia were expansive negative decoupling, expansive coupling, weak decoupling, and strong decoupling. The analysis showed that there is a serious environmental pressure on the economic development in Central Asia.

Renewable and non-renewable energy consumption, economic growth and carbon emission in BRICS

2020 ◽  
Vol 14 (1) ◽  
pp. 248-260 ◽  
Author(s):  
Umer Jeelanie Banday ◽  
Ranjan Aneja
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Gdp Growth ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Cross Sectional ◽  
Content Type ◽  
Growth Hypothesis

Purpose The purpose of this study is to find the causal relationship among energy consumption (renewable energy and non-renewable energy), gross domestic product (GDP) growth and carbon dioxide (CO2) emission for Brazil, Russia, India, China and South Africa for the period of 1990-2017. Design/methodology/approach The study uses bootstrap Dumitrescu and Hurlin panel causality test, which accepts heterogeneity and dependency in cross-sectional units across emerging countries. Findings The results find unidirectional causality from GDP to CO2 for India, China, Brazil, South Africa and no causality for Russia. The causality results from renewable energy consumption to GDP show that there is evidence of feedback hypothesis for China and Brazil, growth hypothesis for Russia, conservation hypothesis for South Africa and neutrality hypothesis for India. However, the results accept growth hypothesis for India, China, Russia, Brazil and neutrality hypothesis for South Africa. In the case of renewable energy and non-renewable energy consumption to CO2 emission, the results find convergence in India, Russia and South Africa and divergence in China and Brazil. Originality/value It is the first study that investigates the part of balanced economic growth, instead of simply financial development in those economies. Numerous studies have used diverse factors such as economic development, renewable energy, non-renewable energy and CO2 emission; however, the examination has used total GDP growth rate, energy consumption and CO2 emissions.

scholarly journals What Drives Energy Efficiency in Africa? Insights from 12 Selected Countries Using Incremental Decomposition Analysis

2021 ◽  
Author(s):  
David Alemzero ◽  
Sun Huaping
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Supply ◽  
Decomposition Analysis ◽  
Primary Energy ◽  
Final Energy ◽  
Final Energy Consumption ◽  
Primary Energy Supply ◽  
Transmission And Distribution ◽  
Efficiency Indicators

Abstract This paper examines why Africa, and Sub-Saharan Africa (SSA) in particular, has some of the worse energy efficiency indicators in the world. It examines the relationship between total primary energy supply (TPES), final energy consumption, and transmission and distribution (T&D) losses on the continent. We apply the Sun-Shaley incremental decomposition method of logarithmic mean divisia index (LMDI to twelve (12) African countries using data from 2000 to 2016 to decompose TPES into the effects of changes in final energy consumption (FEC), population change (POP), carbon dioxide (CO2) emissions, and economic activity measured by gross domestic product (GDP), and their impact on energy efficiency. The method provides a precise decomposition analysis and incremental results that can be added to study the long-run impacts without any information missing in between. The findings show that the study countries have worsening energy efficiency indicators with energy intensity (EI) as high as 55%, coupled with an inefficient transformation of primary energy supply to final consumption, culminating in significant systems losses. It was further discovered that countries that have more significant proportions of renewables sources in their energy mix have lower transmission and distribution losses. This study serves as a guide to the policy discourse regarding the energy efficiency situation in Africa.

scholarly journals Assessment of the potential for a biofuels industry in Ukraine

2018 ◽  
Vol 16 (4) ◽  
pp. 83-90 ◽  
Author(s):  
Carl Zulauf ◽  
Olena Prutska ◽  
Eleonora Kirieieva ◽  
Natalia Pryshliak
Keyword(s):  
Energy Consumption ◽  
Energy Supply ◽  
Agricultural Land ◽  
Foreign Currency ◽  
Primary Energy ◽  
Policy Options ◽  
Domestic Markets ◽  
Export Orientation ◽  
Trade Offs ◽  
Primary Energy Supply

Ukraine is the only major agricultural country whose production of biofuels has declined since 2010. Nevertheless, it has set a target of 11.5 percent of primary energy supply from biomass, biofuels and waste by 2035. Agricultural land needed to produce biofuels feedstock is calculated for two scenarios based on its current 11.5 percent target and previous 5.0 percent target specified as a share of transport energy consumption. The export orientation of Ukraine’s crop sector and resulting foreign currency earnings pose trade-offs if crops are diverted from exports to biofuel feedstocks. Given these trade-offs, policy options for developing a biofuels industry while satisfying Ukraine’s export and domestic markets are to (1) bring land not currently cultivated into production and (2) increase yield. Both options are found to have substantial potential.

Primary Energy Demands in Guangdong Province of China

2014 ◽  
Vol 962-965 ◽  
pp. 1779-1781
Author(s):  
Ying Chun Yang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Guangdong Province ◽  
Primary Energy ◽  
Primary Energy Consumption ◽  
Energy Demands ◽  
Energy Conversation ◽  
Rapid Economic Growth ◽  
Energy Consumption Model ◽  
Forward Energy

Rapid economic growth in China induces higher energy consumption. This article establishes a primary energy consumption model. Finally, this article puts forward energy policies for ensuring economic growth and simultaneously achieving emission reduction and energy conversation.

scholarly journals Delaying future sea-level rise by storing water in Antarctica

2016 ◽  
Vol 7 (1) ◽  
pp. 203-210 ◽  
Author(s):  
K. Frieler ◽  
M. Mengel ◽  
A. Levermann
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Energy Supply ◽  
Primary Energy ◽  
Ocean Water ◽  
Additional Mass ◽  
Dynamic Perspective ◽  
Primary Energy Supply ◽  
The Antarctic

Abstract. Even if greenhouse gas emissions were stopped today, sea level would continue to rise for centuries, with the long-term sea-level commitment of a 2 °C warmer world significantly exceeding 2 m. In view of the potential implications for coastal populations and ecosystems worldwide, we investigate, from an ice-dynamic perspective, the possibility of delaying sea-level rise by pumping ocean water onto the surface of the Antarctic ice sheet. We find that due to wave propagation ice is discharged much faster back into the ocean than would be expected from a pure advection with surface velocities. The delay time depends strongly on the distance from the coastline at which the additional mass is placed and less strongly on the rate of sea-level rise that is mitigated. A millennium-scale storage of at least 80 % of the additional ice requires placing it at a distance of at least 700 km from the coastline. The pumping energy required to elevate the potential energy of ocean water to mitigate the currently observed 3 mm yr−1 will exceed 7 % of the current global primary energy supply. At the same time, the approach offers a comprehensive protection for entire coastlines particularly including regions that cannot be protected by dikes.

scholarly journals A Comparison of α-Sutte Indicator and ARIMA Methods in Renewable Energy Forecasting in Indonesia

2018 ◽  
Vol 7 (1.6) ◽  
pp. 20 ◽  
Author(s):  
Ansari Saleh Ahmar
Keyword(s):  
Renewable Energy ◽  
Energy Supply ◽  
Human Life ◽  
Primary Energy ◽  
Energy Forecasting ◽  
Indicator Method ◽  
New Energy ◽  
Primary Energy Supply

Humans in this world are very dependent on petroleum and energy. Petroleum and other energies are a major source in supporting human life. Regarding the reduced petroleum availability, a new energy is needed to replace the role of petroleum. Nowadays, there is much renewable energy that have been discovered and used. The purpose of this research is to predict the total primary energy supply in Indonesia by using α-Sutte Indicator and ARIMA method, and comparing those four methods which are effective in predicting data. Data from the research is renewable energy (total primary energy supply) which is obtained from OECD from 1971-2015. From the research, it is found that the α-Sutte Indicator method is more suitable to predict renewable energy (total primary energy supply) data in Indonesia compared to ARIMA (0,1,0). 

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