scholarly journals ECOLOGICAL, ECONOMICAL AND TECHNOLOGICAL ASPECTS OF DEVELOPMENT. DECOMPOSITION ANALYSIS OF ENERGY CONSUMPTION RELATED TO CO2 EMISSIONS IN ECUADOR

2017 ◽  
Vol 1 ◽  
pp. 229
Author(s):  
Andrés Robalino-López ◽  
Zanna Aniscenko
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Decomposition Analysis ◽  
Historical Period ◽  
Gdp Growth ◽  
Medium Term ◽  
Energy Mix ◽  
Environmentally Sustainable ◽  
Sectorial Structure

Decomposition Analysis (DA) is widely applied in understanding changes of economical, technological, environmental, and different indicators as energy consumption, employment and other socio-economic indicators. This work discusses the DA methodology and is applied within Ecuadorian case. We present the used technique, the applied mathematical methodology and the construction of an appropriate identity to measure the change of CO2 emission in Ecuador during the period of 1980-2025. Change is measured in both macro and disaggregated sectorial level. Specific aspects related to the application of DA to both the historical period (1980-2010) and in medium term prevision (2011-2025) for four proposed macro scenarios are discussed. The findings show that the evolution of the BS scenario, which implies a trend-growth GDP scenario, is almost a flat curve, however the CO2 emission increases steadily because of the absence of attenuation measurements. A similar behavior, although slightly sloping down, is observed for SC-2 scenario, where a rapid growth of the GDP is assumed without any attenuation action regarding to CO2 emissions. The other two scenarios, SC-3 and SC-4 show a steady reduction of the Dtot = Dact ratio due to the changes in the sectorial structure and in the energy mix, which allows compensation of rapid GDP growth. This analysis suggests that, with the appropriate changes in the energy mix, the sectorial structure, and the share of renewable energies, Ecuador can move into a more environmentally sustainable state.

scholarly journals Pulp and Paper Industry: Decarbonisation Technology Assessment to Reach CO2 Neutral Emissions—An Austrian Case Study

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Manufacturing Industry ◽  
Paper Industry ◽  
Heat Pumps ◽  
Pulp And Paper ◽  
Low Carbon ◽  
Co2 Emission Reduction

The pulp and paper (P&P) sector is a dynamic manufacturing industry and plays an essential role in the Austrian economy. However, the sector, which consumes about 20 TWh of final energy, is responsible for 7% of Austria’s industrial CO2 emissions. This study, intending to assess the potential for improving energy efficiency and reducing emissions in the Austrian context in the P&P sector, uses a bottom-up approach model. The model is applied to analyze the energy consumption (heat and electricity) and CO2 emissions in the main processes, related to the P&P production from virgin or recycled fibers. Afterward, technological options to reduce energy consumption and fossil CO2 emissions for P&P production are investigated, and various low-carbon technologies are applied to the model. For each of the selected technologies, the potential of emission reduction and energy savings up to 2050 is estimated. Finally, a series of low-carbon technology-based scenarios are developed and evaluated. These scenarios’ content is based on the improvement potential associated with the various processes of different paper grades. The results reveal that the investigated technologies applied in the production process (chemical pulping and paper drying) have a minor impact on CO2 emission reduction (maximum 10% due to applying an impulse dryer). In contrast, steam supply electrification, by replacing fossil fuel boilers with direct heat supply (such as commercial electric boilers or heat pumps), enables reducing emissions by up to 75%. This means that the goal of 100% CO2 emission reduction by 2050 cannot be reached with one method alone. Consequently, a combination of technologies, particularly with the electrification of the steam supply, along with the use of carbon-free electricity generated by renewable energy, appears to be essential.

scholarly journals Exploring Potential Pathways toward Energy-Related Carbon Emission Reduction in Heavy Industrial Regions of China: An Input–Output Approach

2020 ◽  
Vol 12 (5) ◽  
pp. 2148 ◽  
Author(s):  
Jingyao Peng ◽  
Yidi Sun ◽  
Junnian Song ◽  
Wei Yang
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Emission Intensity ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Input Output ◽  
Carbon Emission Reduction ◽  
Industrial Regions ◽  
Co2 Emission Intensity

It is a very urgent issue to reduce energy-related carbon emissions in China. The three northeastern provinces (Heilongjiang (HLJ), Jilin (JL), and Liaoning (LN)) are typical heavy industrial regions in China, playing an important role in the national carbon emission reduction target. In this study, we analyzed the energy consumption, carbon dioxide (CO2) emissions, and CO2 emission intensity of each sector in the three regions, and we compared them with the national level and those of China’s most developed province Guangdong (GD). Then, based on an input–output (I–O) framework, linkage analysis of production and CO2 emission from sector–system and sector–sector dimensions was conducted. The results showed that the three regions accounted for about 1/10 of China’s energy consumption and 1/6 of China’s CO2 emissions in 2012. In addition, the level of energy structure, CO2 emission intensity, and sectoral structure lagged behind China’s average level, much lower than those for GD. According to the sectoral characteristics of each region and unified backward/forward linkages of production and CO2 emissions, we divided sectoral clusters into those whose development was to be encouraged and those whose development was to be restricted. The results of this paper could provide policy–makers with reference to exploring potential pathways toward energy-related carbon emission reduction in heavy industrial regions.

scholarly journals ENVIRONMENTAL KUZNETS CURVE HYPOTHESIS IN SELECTED EU COUNTRIES: KYOTO EFFECT

2019 ◽  
Vol 2 (2) ◽  
pp. 134-139
Author(s):  
​Cuma Bozkurt ◽  
İlyas Okumuş
Keyword(s):  
Energy Consumption ◽  
Environmental Pollution ◽  
Co2 Emissions ◽  
Trade Openness ◽  
Gdp Growth ◽  
Ekc Hypothesis ◽  
Eu Countries ◽  
Dummy Variable ◽  
Real Gdp ◽  
Per Capita

The purposes of this study is to investigate the relationship between per capita CO2 emissions, per capita energy consumption, per capita real GDP, the squares of per capita real GDP, trade openness and Kyoto dummies in selected 20 EU countries over the periods from 1991 to 2013 in order to analyze the connection between environmental pollution and Kyoto Protocol using Environmental Kuznets Curve (EKC) framework. According to EKC hypothesis, there is an inverted-U shape relation between environmental pollution and economic growth. Generally, the relationship between environmental pollution, per capita GDP and energy consumption has been analyzed for testing EKC hypothesis. In this study, it is used dummy variable to analyze the effects of Kyoto protocol on environmental degradation in the context of EKC hypothesis model. The dummy variable indicates Kyoto Protocol agreement year 2005. The results show that there is long run cointegration relationship between CO2, energy consumption, GDP growth, and the squares of GDP growth, trade openness and Kyoto dummy variable. Energy consumption and GDP growth increase the level of CO2 emissions. On the contrary, Kyoto dummy variable de­creases CO2 emissions in EU countries. In addition, the results reveal that the squares of per capita real GDP and trade openness rate are statistically insignificant. As a result of analysis, the inverted-U shape EKC hypothesis is invalid in these EU countries over the periods from 1991 to 2013.

Decomposition analysis of energy-related CO2 emissions in South Africa

2015 ◽  
Vol 26 (1) ◽  
pp. 67-73 ◽  
Author(s):  
Ming Zhang ◽  
Shuang Dai ◽  
Yan Song
Keyword(s):  
South Africa ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Driving Forces ◽  
Dominant Role ◽  
Decomposition Analysis ◽  
Structure Effect ◽  
Energy Structure ◽  
Index Method ◽  
Intensity Effect

South Africa has become one of the most developing countries in the world, and its economic growth has occurred along with rising energy-related CO2 emission levels. A deeper understanding of the driving forces governing energy-related CO2 emissions is very important in formulating future policies. The LMDI (Log Mean Divisia Index) method is used to analyse the contribution of the factors which influence energy-related CO2 emissions in South Africa over the period 1993-2011. The main conclusions drawn from the present study may be summarized as follows: the energy intensity effect plays the dominant role in decreasing of CO2 emission, followed by fossil energy structure effect and renewable energy structure effect; the economic activity is a critical factor in the growth of energy-related CO2 emission in South Africa.

scholarly journals Agricultural production and CO2 emissions causes in the developing and developed countries: New insights from quantile regression and decomposition analysis

2020 ◽  
Author(s):  
Rabnawaz Khan
Keyword(s):  
Quantile Regression ◽  
Co2 Emissions ◽  
Environmental Degradation ◽  
Agricultural Production ◽  
Co2 Emission ◽  
Negative Impact ◽  
Decomposition Analysis ◽  
Developed Countries ◽  
Decomposition Procedure ◽  
Developing And Developed Countries

AbstractAgriculture is the dominant economic activity of the economies. The developing and developed countries are responsible for the most greenhouse gasses emitted in the developing areas. Are there heterogeneous determinants of environmental degradation and CO2 emitters in developing and developed countries? and estimating the significance of agricultural production, renewable energy consumption, the industrial revolution, and economic growth. In this study, 22 countries’ environmental degradation analyze by two (per-capita and liquid) sources of CO2 emissions and using panel data from 1991 through 2016. This study adopts a panel regression (non-additive effects) and quantile regression techniques to explore the connection between agriculture and economic factors. And the extent of the CO2 emitter gap between developing and developed countries. The outcome of agriculture has a positive and significant influence on CO2 emission from liquid with a 36.75% increase in environmental degradation and a negative impact on CO2 emission in the total emissions by 19.12%. The agriculture-related activities negatively influence the environment, such as deforestation for feed cropping, burning of biomass, and deep soil cropping in the developing countries. Furthermore, the quantiles decomposition procedure in agriculture production is signifying heterogeneity of the determinants of environmental degradation, low and high CO2 emitters.

scholarly journals Environmental Degradation in Indonesia and Malaysia: The Effect of Energy Consumption, Economic Growth, Population, and Foreign Direct Investment (FDI)

2020 ◽  
Vol 13 (2) ◽  
pp. 160
Author(s):  
Ahmad Farabi ◽  
Azrai Abdullah
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Energy Consumption ◽  
Natural Gas ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Co2 Emission ◽  
Fossil Fuel ◽  
Environmentally Friendly ◽  
Annual Data

The main objective of this study is to examine how energy consumption, economic growth, population, and foreign direct investment (FDI) affects CO2 emissions in Indonesia and Malaysia. This study uses the longest and most updated annual data during the period 1960-2018. To get a deeper analysis, this study employs disaggregate of CO2 emissions and energy consumption data namely, oil, coal and natural gas. The ordinary least square which preceded by unit root test and classical assumption test are employed. The results show that all type of energy consumption affect positively to CO2 emission. Economic growth is identified as the variable with greatest influences on CO2 emissions in oil and natural gas model, while CO2 emissions from coal consumption are mainly affected by populations. The study concludes that economic growth of both countries relies heavily on fossil fuel. CO2 emission sourced from coal mostly affected by population due to the high demand of electricity from household fulfilled by power generation which use coal as the fuel. The EKC hypothesis is confirmed in the model of gas, indicate that natural gas is the most appropriate source of energy to be used at the certain level. Using natural gas is effectively decrease the CO2 emission while in the same time increase the economic growth. Natural gas is also found as the most environmentally friendly fossil fuel due as it produces less CO2 emission compared to oil and coal. The findings have important implications for policy makers in determining policy and business decisions especially to enhance environmentally friendly energy uses for the benefit of the economy.

scholarly journals Examining the Relationship between Energy Consumption and Unfavorable CO2 Emissions on Sustainable Development by Going through Various Violated Factors and Stochastic Disturbance–Based on a Three-Stage SBM-DEA Model

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 569
Author(s):  
Wengchin Fong ◽  
Yao Sun ◽  
Yujie Chen
Keyword(s):  
Sustainable Development ◽  
Hong Kong ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Energy Resource ◽  
Measure Data ◽  
Dea Model ◽  
Stochastic Disturbance ◽  
The Relationship

The article applies a three-stage Slacks-Based Measure-Data Envelopment Analysis (SBM-DEA) pattern to examine the relationship between energy consumption and unfavorable CO2 emissions on green sustainable development, for the 11 cities of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) during 2010–2016, by going through various violated factors and stochastic disturbance. Labor, capital and energy resource are chosen as input variables, while GDP and CO2 emission as output variables. During the three phases consisting of the SBM-DEA model (first stage and third stage) and SFA analysis (second stage), CO2 emission is considered as an unfavorable outcome, while stochastic statistical disturbances and external environmental influences are identified. The results show that the average efficiency of the GBA cities is 0.708, with only Shenzhen, Macao SAR and Hong Kong SAR having an efficiency of 1 during the whole study period. Based on the findings, suggestions are made for the GBA cities’ sustainable development aspects.

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