The influence of biomass energy consumption on CO2 emissions: a wavelet coherence approach

2016 ◽  
Vol 23 (19) ◽  
pp. 19043-19061 ◽  
Author(s):  
Faik Bilgili ◽  
İlhan Öztürk ◽  
Emrah Koçak ◽  
Ümit Bulut ◽  
Yalçın Pamuk ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Biomass Energy ◽  
Wavelet Coherence

Investigating the Causal Linkage Among Economic Growth, Energy Consumption and CO2 Emissions in Thailand: An Application of the Wavelet Coherence Approach

2020 ◽  
Vol 10 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Gbenga Daniel Akinsola
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Wavelet Coherence ◽  
Series Data ◽  
Energy Usage ◽  
Positive Correlation ◽  
Long Run ◽  
Growth Energy

The study aims to explore the causal linkage between CO2 emissions, economic growth and energy consumption in Thailand utilizing the wavelet coherence approach, conventional Granger and the Toda-Yamamoto causality techniques. In this study, In this study, time-series data spanning the period between 1971 and 2018 were used. No prior study has used the wavelet coherence approach to collect information on the association and causal interrelationship among these economic variables at different frequencies and timeframes in Thailand. The study objectives are structured to answer the following question: Does economic growth and energy consumption lead to CO2 emissions in Thailand?. The findings revealed that: (a) Changes in economic growth led to changes in CO2 emissions in Thailand at different frequencies (different scales) between 1971 and 2018. (b) A bidirectional causal relationship between CO2 emissions and energy consumption. (c) A positive correlation between CO2 emissions and energy usage in the short and long-run between 1971 and 2018. (d) A positive correlation between GDP growth and CO2 emissions in the short and long-run between 1971 and 2018. The study suggested that Thailand should initiate stronger policies towards enhancing the efficiency of energy and energy-usage programs to minimize unnecessary energy waste.

scholarly journals Energy Evaluation of the Mechanical Drying of the Grain of Coffea arabica from Honduras

2021 ◽  
pp. 8-14
Author(s):  
Fredy Torres Mejía ◽  
Jhunior Marcía Fuentes ◽  
Juan Torres Mejía ◽  
Flavio Hernández Bonilla ◽  
Ricardo Santos Alemán ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Coffea Arabica ◽  
Research Work ◽  
Electrical Energy ◽  
Biomass Energy ◽  
Energy Evaluation ◽  
Rotary Dryer ◽  
Reduction Of Co2 ◽  
The Impact

The aim of this research work was to evaluate the methods of mechanical drying of coffee beans (Coffea arabica) from energy evaluations. The control variables were the drying of the grain and energy was used as the response variable, measured in Tonnes of Oil Equivalent (TEP), Barrels of Oil Equivalent (BEP), and Tonnes of Carbon Dioxide Equivalent (Ton CO2eq). The evaluations on the three methods of mechanical coffee drying indicate that the rotary dryer requires 1.0 TEP equivalent to 1.017 kg CO2eqkg-1 in dry parchment coffee (CPS), however, the vertical drying method requires 1.12 TEP (0.616 kg CO2eqkg-1 in CPS) and the static dryer requires 0.5 TEP (0.33 Kg CO2eqkg-1 in CPS). Furthermore, the biomass energy consumption in the rotary dryer is 12.60 MJkg-1, in the vertical dryer it is 7.46 MJkg-1, and the static dryer is 3.91 MJkg-1. These results indicate that the rotary dryer uses 91.95% of the biomass energy, the vertical dryer uses 90.31%, and the static dryer 90.68%. Concluding that rotary drying has a higher biomass energy consumption and reduces CO2 emissions kg-1 in dry parchment coffee, this method is also preferred by cuppers, as it preserves the sensory qualities of the coffee and contributes to reducing the impact. the environment in the consumption of electrical energy and the reduction of CO2 emissions. However, these predictors need more work to validate reliability.

scholarly journals Sustainability of Energy-Induced Growth Nexus in Brazil: Do Carbon Emissions and Urbanization Matter?

2021 ◽  
Vol 13 (8) ◽  
pp. 4371 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Jamiu Adetola Odugbesan ◽  
Gbenga Daniel Akinsola ◽  
Wing-Keung Wong ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Economic Performance ◽  
Trade Openness ◽  
Least Square ◽  
Wavelet Coherence ◽  
Gradual Shift ◽  
Long Run ◽  
Causality Tests

This study assesses the relationship between economic performance and environmental sustainability by taking into account the role of energy consumption, urbanization, and trade openness in Brazil by using data spanning from 1965 to 2019. The study is distinct from previously documented studies in literature in terms of scope for Brazil, where few entries have been recorded. The major objectives are to address the questions: (a) Is there a long-run connection between the variables under consideration? (b) Can CO2 emissions, trade openness, and energy consumption predict economic performance of Brazil? (c) What is the connection between economic growth and the independent variables at different frequencies and time-period? Furthermore, the study utilized dynamic ordinary least square (DOLS), fully modified ordinary least square (FMOLS), Maki Cointegration, and autoregressive distributed lag (ARDL) to capture the long-run association between the variables of interest. Also, we used the Wavelet coherence and Gradual-shift causality tests to capture the causal linkage between economic growth and the regressors. The advantage of the wavelet coherence test is that it can capture causal linkage between series at different frequencies and periods. The outcome of both Maki cointegration and ARDL bounds testing to cointegration affirms the presence of long-run interaction among the parameters of interest. Furthermore, the outcomes of the DOLS and FMOLS revealed that energy consumption, CO2 emissions, and urbanization exert positive impacts on economic growth in Brazil while there is no significant connection between trade openness and economic growth. Moreover, Gradual shift causality test outcomes disclosed that urbanization, trade openness, CO2 emissions and energy usage can predict the economic performance of Brazil. The outcomes of the wavelet coherence test give credence to the FMOLS, DOLS, and Gradual shift causality tests.

scholarly journals The Environmental Impact of Energy Consumption in Nigeria: Evidence from CO2 Emissions

2021 ◽  
Author(s):  
Abubakar Sadiq Ibrahim ◽  
Dan Cudjoe
Keyword(s):  
Energy Consumption ◽  
Environmental Impact ◽  
Co2 Emissions ◽  
Environmental Quality ◽  
Negative Impact ◽  
Biomass Energy ◽  
Fuel Oil ◽  
Series Data ◽  
Environmental Damage ◽  
Long Run

Abstract The consumption of energy to achieve economic growth has immensely impacted Nigeria’s environment through its influence on CO2 emissions. The paper employed Vector Error Correction Model (VECM) to analyzed the environmental impact of energy consumption in Nigeria using time series data from 1990–2018. Our study found a long run positive impact of GDP on CO2 emissions in Nigeria. This refute the Environmental Kuznet Curve hypothesis that environmental quality improved with an increase in income. We also found that charcoal consumption has a long run tendency of reducing CO2 emission while fuel wood consumption has a long run possibility of raising CO2 emission. We also found that usage of gas oil has a negative impact on CO2 emissions while natural gas consumption and fuel oil consumption has a detrimental impact on CO2 emission. Hydroelectricity consumption on the other has a long run negative impact on CO2 emission in Nigeria. However, we suggested for investment in hydroelectricity and wood biomass energy consumption that can minimize the potential environmental damage in Nigeria. Because hydroelectricity and biomass energy can substitute fossil fuel energy in the production of goods and services which can also help to mitigate CO2 emissions and improve the environmental quality of the country.

Does biomass energy consumption reduce total energy CO2 emissions in the US?

2020 ◽  
Vol 42 (5) ◽  
pp. 953-967 ◽  
Author(s):  
GwanSeon Kim ◽  
Sun-Ki Choi ◽  
Jun Ho Seok
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Co2 Emissions ◽  
Biomass Energy ◽  
The Us

scholarly journals Beyond the City: Effects of Urbanization on Rural Residential Energy Intensity and CO2 Emissions

2019 ◽  
Vol 11 (8) ◽  
pp. 2421 ◽  
Author(s):  
Qiu Chen ◽  
Haoran Yang ◽  
Wenguo Wang ◽  
Tianbiao Liu
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Energy Intensity ◽  
Biomass Energy ◽  
Mitigation Strategies ◽  
Net Income ◽  
Residential Energy ◽  
Residential Energy Consumption ◽  
The Impact

Trends of rural residential energy consumption and CO2 emission should be evaluated in a broader context of urbanization, especially in developing countries where urbanization is in its expanding stage. In this study, we use the STIRPAT model and various panel regression techniques to explore the impact of urbanization on rural residential energy consumption and CO2 emission by using data from Southwest China. The results show that a higher urbanization level contributes to higher total residential energy intensity. Increases in net income per capita can decrease the intensities of traditional biomass energy and non-biomass energy, while industrialization has a negative effect only on non-biomass energy intensity. Land use change driven by urbanization can also lower the intensities of total residential energy, traditional biomass energy and non-biomass energy. Moreover, the impact of total residential energy intensity on emissions is positive. Particularly, traditional biomass energy accounts for most of CO2 emissions derived from the use of residential energy. As urbanization is expected to increase in the developing world and lead to more CO2 emissions from rural areas, policies which intend to reduce the intensity of traditional biomass energy, promote biogas and industrialization, and raise net income of rural residents can be used as effective mitigation strategies.

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