scholarly journals Global non-fossil fuel consumption: driving factors, disparities, and trends

2019 ◽  
Vol 57 (4) ◽  
pp. 791-810 ◽  
Author(s):  
Jiandong Chen ◽  
Yinyin Wu ◽  
Chong Xu ◽  
Malin Song ◽  
Xin Liu
Keyword(s):  
Fuel Consumption ◽  
Gini Coefficient ◽  
Nuclear Power ◽  
Fossil Fuel ◽  
Decomposition Analysis ◽  
Rate Of Change ◽  
Driving Factors ◽  
Content Type ◽  
Fossil Fuel Consumption ◽  
Index Decomposition

Purpose Non-fossil fuels are receiving increasing attention within the context of addressing global climate challenges. Based on a review of non-fossil fuel consumption in major countries worldwide from 1985 to 2015, the purpose of this paper is to analyze trends for global non-fossil fuel consumption, share of fuel consumption and inequality. Design/methodology/approach The similarities were obtained between the logarithmic mean divisia index and the mean-rate-of-change index decomposition analysis methods, and a method was proposed for complete decomposition of the incremental Gini coefficient. Findings Empirical analysis showed that: global non-fossil fuel consumption accounts for a small share of the total energy consumption, but presents an increasing trend; the level of global non-fossil fuel consumption inequality is high but has gradually declined, which is mainly attributed to the concentration effect; inequality in global non-fossil fuel consumption is mainly due to the difference between nuclear power and hydropower consumption, but the contributions of nuclear power and hydropower to per capita non-fossil fuel consumption are declining; and population has the greatest influence on global non-fossil fuel consumption during the sampling period. Originality/value The main contribution of this study is its analysis of global non-fossil fuel consumption trends, disparities and driving factors. In addition, a general formula for complete index decomposition is proposed and the incremental Gini coefficient is wholly decomposed.

The impact of biomass consumption on CO2 emissions

2015 ◽  
Vol 7 (3) ◽  
pp. 348-358 ◽  
Author(s):  
Salih Turan Katircioglu
Keyword(s):  
Error Correction ◽  
Fuel Consumption ◽  
Fossil Fuel ◽  
Annual Data ◽  
Total Biomass ◽  
Content Type ◽  
Fossil Fuel Consumption ◽  
Equilibrium Relationship ◽  
The Impact

Purpose – The purpose of this study is to investigate the long-term equilibrium relationship between carbon dioxide (CO2) emissions and total biomass consumption (BC) in Turkey, which has a rich diversity of ecological conditions prevailing throughout its regions. Design/methodology/approach – Bounds tests and conditional error correction models under the autoregressive distributed lag approach have been applied to annual data that cover the 1980-2010 period. Findings – Results suggest that CO2 emissions are in a long-term equilibrium relationship with total BC in Turkey. BC has a negative effect on CO2 emissions; 1 per cent increase in total BC would lead to 0.029 per cent reduction in CO2 emissions. Long-term coefficient of fossil fuel consumption for CO2 emissions is positive and elastic, 1.247. Finally, conditional error correction model of the present study reveals that CO2 emission in Turkey converges to its economic long-term equilibrium very quickly by 93.7 per cent speed of adjustment through the channel of BC and fossil fuel consumption. Originality/value – Although there have been a considerable number of studies investigating the link between total energy consumption and CO2 emissions in the literature, searching the contribution of components of energy to CO2 emissions deserves attention. Therefore, this study contributes to the literature by investigating the effect of BC on CO2 emissions in the case of Turkey.

Fossil fuel, industrial growth and inward FDI impact on CO2 emissions in Vietnam: testing the EKC hypothesis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sami Ullah ◽  
Muhammad Nadeem ◽  
Kishwar Ali ◽  
Qaiser Abbas
Keyword(s):  
Fuel Consumption ◽  
Structural Breaks ◽  
Fossil Fuel ◽  
Ekc Hypothesis ◽  
Industrial Growth ◽  
Content Type ◽  
Dynamic Relationship ◽  
Fossil Fuel Consumption ◽  
Long Run ◽  
Short Run

PurposeIn this paper, the authors investigate that the increasing level of fossil fuel combustion in the industrial sector has been considered the prime cause for the emissions of greenhouse gas. Meanwhile, the research focusing on the impact of fossil fuel consumption on the emission of CO2 is limited for the developing countries containing Vietnam. This study applied the autoregressive distributed lag (ARDL) approach with structural breaks presence, and the Bayer–Hanck combined cointegration method to observe the rationality of the environmental Kuznets curve (EKC) hypothesis in the dynamic relationship between the industrialization and carbon dioxide (CO2) emission in Vietnam, capturing the role of foreign direct investment (FDI) inflows and the fossil fuel consumption over the period of 1975–2019. The outcomes revealed the confirmation of cointegration among the variables and both short and long-run regression parameters indicated the evidence for the presence of a U-shaped association between the level of industrial growth and CO2 emission that is further confirmed by employing the Lind and Mehlum U-test for robustness purpose. The results of Granger causality discovered a unidirectional causality from FDI and fossil fuel consumption to CO2 emission in the short run. For the policy points, this study suggests the use of efficient and low carbon-emitting technologies.Design/methodology/approachIn order to test for consistency and robustness of the cointegration analysis, this study also applied the ARDL bound testing method to find out long-run association among variables with the existence of the structural break in the dataset. The ARDL method was preferred to other traditional cointegration models; because of the smaller dataset, the results obtained from the ARDL method are efficient and consistent and equally appropriate for I(1) and I(0) variables.FindingsThe short-run and long-run causal associations among variables have been observed by employing the error correction term (ECT) augmented Granger-causality test that revealed the presence of the long-run causality among variables only when the CO2 emission is employed as a dependent variable. The outcomes for short-run causality indicated the presence of unidirectional causality between consumption of fossil fuel and CO2 emission, where the fossil fuel consumptions Granger-cause CO2 emission. Industrial growth has also been found to have an impact on fossil fuel consumptions, however not the opposite. This advocates that the policies aimed at reducing the fossil fuel consumptions would not be harmful to industrial growth as other energy efficient and cleaner technology could be implemented by the firms to substitute the fossil fuel usage.Originality/valueThe study explored the dynamic relationship among FDI, consumption of fossil fuel, industrial growth and the CO2 emission in Vietnam for the time period 1975–2019. The newly established Bayer–Hanck joint cointegration method and the ARDL bound testing were employed by taking into account the structural breaks in the dataset.

Monthly, global emissions of carbon dioxide from fossil fuel consumption

Tellus B ◽  
2011 ◽  
Vol 63 (3) ◽  
Author(s):  
R. J. Andres ◽  
J. S. Gregg ◽  
L. Losey ◽  
G. Marland ◽  
T. A. Boden
Keyword(s):  
Carbon Dioxide ◽  
Fuel Consumption ◽  
Fossil Fuel ◽  
Fossil Fuel Consumption ◽  
Global Emissions

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 Cleaning up the air: Effectiveness of air quality policy for SO<sub>2</sub> and NO<sub><i>x</i></sub> emissions in China

2016 ◽  
Author(s):  
Ronald J. van der A ◽  
Bas Mijling ◽  
Jieying Ding ◽  
Maria Elissavet Koukouli ◽  
Fei Liu ◽  
...  
Keyword(s):  
Air Quality ◽  
Fuel Consumption ◽  
Fossil Fuel ◽  
Transport Sector ◽  
Nox Emissions ◽  
So2 Emissions ◽  
Provincial Level ◽  
Fossil Fuel Consumption ◽  
Public Data ◽  
Quality Policy

Abstract. Air quality observations by satellite instruments are spatially consistent, and have a regular temporal resolution, which make them very useful in studying long-term trends in atmospheric species. To monitor air quality trends in China for the period 2005–2015 we derive SO2 columns and NOx emissions on a provincial level with an unprecedented accuracy. To put these trends into perspective they are compared with public data on energy consumption and the environmental policies of China. We distinguish the effect of air quality regulations from economic growth by comparing them relatively to fossil fuel consumption. Pollutant levels, per unit of fossil fuel, are used to assess the effectiveness of air quality regulations. We note that the desulphurisation regulations enforced in 2005–2006 only had a significant effect in the years 2008–2009 when a much stricter control of the actual use of the installations began. For national NOx emissions a distinct decreasing trend is only visible since 2012, but the emission peak year differs from province to province. Unlike SO2, emissions of NOx are highly related to traffic. Furthermore, regulations for NOx emissions are partly decided on a provincial level. The last three years show both a reduction in SO2 and NOx emissions per fossil fuel unit, since the authorities have implemented several new environmental regulations. Despite an increasing fossil fuel consumption and a growing transport sector, the effects of air quality policy in China are clearly visible. Without the air quality regulations the concentration of SO2 would be almost 3 times higher and the NO2 concentrations would be at least 30 % higher than they are today in China.

scholarly journals Carbon emissions from fossil fuel consumption of Beijing in 2012

2016 ◽  
Vol 11 (11) ◽  
pp. 114028 ◽  
Author(s):  
Ling Shao ◽  
Dabo Guan ◽  
Ning Zhang ◽  
Yuli Shan ◽  
G Q Chen
Keyword(s):  
Fuel Consumption ◽  
Carbon Emissions ◽  
Fossil Fuel ◽  
Fossil Fuel Consumption

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 Macroeconomic Factors Influencing Public Policy Strategies for Blue and Green Hydrogen

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7938
Author(s):  
Roberto Fazioli ◽  
Francesca Pantaleone
Keyword(s):  
Fuel Consumption ◽  
Carbon Capture ◽  
Fossil Fuel ◽  
Carbon Capture And Storage ◽  
Policy Decision ◽  
Future Research ◽  
Foreign Direct Investments ◽  
Macroeconomic Factors ◽  
Oil Reserves ◽  
Fossil Fuel Consumption

The aim of this paper is to analyze the factors affecting hydrogen and Carbon Capture and Storage Technologies (“CCS”) policies, taking into consideration Fossil Fuel Consumption, Oil Reserves, the Debt/GDP Ratio, the Trilemma Index and other variables with respect to OECD countries. STATA 17 was used for the analysis. The results confirm the hypothesis that countries with high fossil fuel consumption and oil reserves are investing in blue hydrogen and CCS towards a “zero-carbon-emission” perspective. Moreover, countries with a good Debt/GDP ratio act most favorably to green policies by raising their Public Debt, because Foreign Direct Investments are negatively correlated with those kinds of policies. Future research should exploit Green Finance policy decision criteria on green and blue hydrogen.

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