scholarly journals Evaluating the Dynamic Energy Production Efficiency in APEC Economies

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4343
Author(s):  
Dan Wu ◽  
Ching-Cheng Lu ◽  
Xiang Chen ◽  
Pei-Chieh Tu ◽  
An-Chi Yang ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Capital Stock ◽  
Production Efficiency ◽  
Fossil Fuel ◽  
Asia Pacific ◽  
Energy Investment ◽  
Improve Energy Efficiency ◽  
Fossil Fuel Consumption

This study introduces the translation adjustment model of Seiford and Zhu (2002) into dynamic DEA models to measure and analyze the dynamic energy efficiency of Asia-Pacific Economic Cooperation (APEC) economies from 2010 to 2014. The APEC economies are divided into annual energy and overall energy efficiency ratings, and improvement directions are proposed for the different variables. With the proposal of magnitude, this study discusses the changes in intertemporal conversion variables and proposes suggestions for improvement. Finally, this study analyzes the implications of energy investment and the efficiency policies of APEC economies. The results show that economies with the lowest overall energy efficiency ratings have great potential for improvement. Reducing capital stock, labor, fossil fuel consumption, and CO2 emissions while increasing GDP can increase energy efficiency ratings. However, economies do not want to reduce the state’s capital stock, and labor and population birth adjustments are difficult. Energy efficiency can only start by adjusting the consumption of fossil fuels, CO2 emissions, and GDP. The results indicate that to improve energy efficiency and reduce fossil fuel consumption and CO2 emissions, economies are expected to increase their GDP unless they enact cuts through policy and technical approaches, appropriately adjust their energy policies, and actively develop new energy technologies to effectively reduce CO2 emissions and achieve optimal energy efficiency.

scholarly journals Using Quantile Regression to Analyze the Relationship between Socioeconomic Indicators and Carbon Dioxide Emissions in G20 Countries

2021 ◽  
Vol 13 (13) ◽  
pp. 7011
Author(s):  
Abdulaziz A. Alotaibi ◽  
Naif Alajlan
Keyword(s):  
Carbon Dioxide ◽  
Quantile Regression ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Fossil Fuel ◽  
Trade Openness ◽  
Policy Coordination ◽  
Socioeconomic Indicators ◽  
Control Variables ◽  
Fossil Fuel Consumption

Numerous studies addressed the impacts of social development and economic growth on the environment. This paper presents a study about the inclusive impact of social and economic factors on the environment by analyzing the association between carbon dioxide (CO2) emissions and two socioeconomic indicators, namely, Human Development Index (HDI) and Legatum Prosperity Index (LPI), under the Environmental Kuznets Curve (EKC) framework. To this end, we developed a two-stage methodology. At first, a multivariate model was constructed that accurately explains CO2 emissions by selecting the appropriate set of control variables based on model quality statistics. The control variables include GDP per capita, urbanization, fossil fuel consumption, and trade openness. Then, quantile regression was used to empirically analyze the inclusive relationship between CO2 emissions and the socioeconomic indicators, which revealed many interesting results. First, decreasing CO2 emissions was coupled with inclusive socioeconomic development. Both LPI and HDI had a negative marginal relationship with CO2 emissions at quantiles from 0.2 to 1. Second, the EKC hypothesis was valid for G20 countries during the study period with an inflection point around quantile 0.15. Third, the fossil fuel consumption had a significant positive relation with CO2 emissions, whereas urbanization and trade openness had a negative relation during the study period. Finally, this study empirically indicates that effective policies and policy coordination on broad social, living, and economic dimensions can lead to reductions in CO2 emissions while preserving inclusive growth.

scholarly journals ANALYSIS OF THE CAUSALITY OF CO2 EMISSIONS, CONSUMPTION OF FOSSIL FUELS, ELECTRICITY CONSUMPTION, AND ECONOMIC GROWTH IN INDONESIA IN 1990-2019

2019 ◽  
Vol 4 (02) ◽  
pp. 113
Author(s):  
Melati Intan Kurnia ◽  
Hadi Sasana ◽  
Yustirania Septiani
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Fossil Fuels ◽  
Fossil Fuel ◽  
Electricity Consumption ◽  
Negative Influence ◽  
Fossil Fuel Consumption

<p><em>Increasing economic growth will spark against increased energy consumption. But on the other hand, increasing economic growth will also trigger the occurrence of natural damage and degradation of environmental quality derived from CO2 emissions. CO2 emissions are caused by oxidation process of fossil fuel energy. This research aims to know the causality relationship between CO2 emissions, fossil fuel consumption, electricity consumption, and economic growth in Indonesia, as well as long-term relationship between CO2 emissions, fossil fuel consumption, electricity consumption, to economic growth in Indonesia in 1990 – 2019. The used data is the secondary data that is in the form of data time series. The dependent variables of this study are economic growth, while independent variables are CO2 emissions, fossil fuel consumption, electricity consumption. The method that is used in this study is Vector Error Correction Model. The results showed that there was a one-way causality between economic growth and fossil fuel consumption, and between electricity consumption and CO2 emissions. The research also shows that on long-term CO2 emissions has a negative influence, while the consumption of fossil fuels and electricity has a positive effect on Indonesia's economic growth in 1990-2019.</em></p><p><strong><em>K</em></strong><strong><em>eywords</em></strong><em>: CO2, Energy Consumption, Economic Growth.</em></p>

scholarly journals Assessing the impact of COVID-19 on global fossil fuel consumption and CO2 emissions

2021 ◽  
Vol 97 ◽  
pp. 105170
Author(s):  
L. Vanessa Smith ◽  
Nori Tarui ◽  
Takashi Yamagata
Keyword(s):  
Fuel Consumption ◽  
Co2 Emissions ◽  
Fossil Fuel ◽  
Fossil Fuel Consumption ◽  
The Impact

Performance Influences of Hydrogen Enriched Fuel on Heavy-Duty Gas Turbines in Combined Cycle Power Plants

2015 ◽  
Author(s):  
Carl Georg Seydel
Keyword(s):  
Renewable Energy ◽  
Natural Gas ◽  
Fuel Consumption ◽  
Co2 Emissions ◽  
Power Plants ◽  
Fossil Fuel ◽  
Electricity Demand ◽  
Combined Cycle ◽  
Fossil Fuel Consumption ◽  
High Flexibility

In order to meet the ambitious reduction targets for future CO2 emissions and fossil fuel consumption, the extension of renewable power systems is mandatory. One main issue is the fluctuating and unpredictable availability of renewable energy. With a higher portion of renewable energy, a secure electricity supply becomes more challenging. On days with high electricity demand but low availability of renewable energy, fossil back up power plants with high flexibility and efficiency are needed. Most applicable for this requirements are combined cycle power plants, which provide both high flexibility and efficiency. On the other hand potential renewable energy is wasted during days with low electricity demand but high available renewable energy, because electricity cannot be stored yet economically in such vast amounts. In order to use the available renewable energy more efficiently, hydrogen could be produced via electrolysis during phases of surplus available renewable energy. The hydrogen serves as a high density energy storage, which can be used as an alternative fuel in combined cycle power plants for a highly efficient reconversion into electricity if necessary. In this study it is analyzed how the usage of hydrogen as the burner fuel will influence the performance of combined cycle power plants. Therefore the on- and off-design performance of a state of the art combined cycle power plant will be calculated at different ratios of hydrogen mixtures with natural gas. The thermodynamic calculations are made with the performance software GTlab of the German Aerospace Center. Furthermore the natural gas and CO2 savings for different hydrogen ratios will be quantified. The results show that the usage of hydrogen enriched fuel increases the combined cycle efficiency and power output. Accordingly a considerable reduction in CO2 emissions and fossil fuel consumption is possible.

scholarly journals Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality

2019 ◽  
Vol 16 (21) ◽  
pp. 4176 ◽  
Author(s):  
Lv ◽  
Chu ◽  
McAleer ◽  
Wong
Keyword(s):  
Economic Growth ◽  
Fuel Consumption ◽  
Granger Causality ◽  
Co2 Emissions ◽  
Fossil Fuel ◽  
The Novel ◽  
Causality Analysis ◽  
Policy Makers ◽  
Fossil Fuel Consumption ◽  
Long Run

Most authors apply the Granger causality-VECM (vector error correction model), and Toda–Yamamoto procedures to investigate the relationships among fossil fuel consumption, CO2 emissions, and economic growth, though they ignore the group joint effects and nonlinear behaviour among the variables. In order to circumvent the limitations and bridge the gap in the literature, this paper combines cointegration and linear and nonlinear Granger causality in multivariate settings to investigate the long-run equilibrium, short-run impact, and dynamic causality relationships among economic growth, CO2 emissions, and fossil fuel consumption in China from 1965–2016. Using the combination of the newly developed econometric techniques, we obtain many novel empirical findings that are useful for policy makers. For example, cointegration and causality analysis imply that increasing CO2 emissions not only leads to immediate economic growth, but also future economic growth, both linearly and nonlinearly. In addition, the findings from cointegration and causality analysis in multivariate settings do not support the argument that reducing CO2 emissions and/or fossil fuel consumption does not lead to a slowdown in economic growth in China. The novel empirical findings are useful for policy makers in relation to fossil fuel consumption, CO2 emissions, and economic growth. Using the novel findings, governments can make better decisions regarding energy conservation and emission reductions policies without undermining the pace of economic growth in the long run.

Inventory and input–output analysis of CO2 emissions by fossil fuel consumption in Beijing 2007

2012 ◽  
Vol 12 ◽  
pp. 93-100 ◽  
Author(s):  
Shan Guo ◽  
Ling Shao ◽  
H. Chen ◽  
Z. Li ◽  
J.B. Liu ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Co2 Emissions ◽  
Fossil Fuel ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Fossil Fuel Consumption
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