The impact of road grade on carbon dioxide (CO2) emission of a passenger vehicle in real-world driving

This study tries to investigate the relationship between gross domestic product, electricity product, net trade, electricity consumption and oil price on carbon dioxide (Co2) emission in Malaysia. Thus, it uses the Ordinary Least Square (OLS) method in structuring the model estimation. By utilizing yearly time series data from 1980 to 2017, this study focuses on economics and statistical criteria analyses. According to sign analysis, the results suggest that, gross domestic product, electricity product, net trade and energy consumption affect carbon dioxides (Co2) positively. In contrast, the oil price affects carbon dioxides (Co2) negatively. Furthermore, the results in statistical criteria conclude that the gross domestic product, electricity product and energy consumption are the dominant factors that influence carbon dioxides combustion in the long run in Malaysia.

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Analyzing the Renewable Energy and CO2 Emission Levels Nexus at an EU Level: A Panel Data Regression Approach

Processes ◽

10.3390/pr9010130 ◽

2021 ◽

Vol 9 (1) ◽

pp. 130

Author(s):

Mihail Busu ◽

Alexandra Catalina Nedelcu

Keyword(s):

Renewable Energy ◽

Panel Data ◽

Co2 Emissions ◽

Co2 Emission ◽

Negative Impact ◽

National Level ◽

Renewable Energy Consumption ◽

Urbanization Level ◽

Carbon Dioxide Co2 ◽

The Impact

In the past decades, carbon dioxide (CO2) emissions have become an important issue for many researchers and policy makers. The focus of scientists and experts in the area is mainly on lowering the CO2 emission levels. In this article, panel data is analyzed with an econometric model, to estimate the impact of renewable energy, biofuels, bioenergy efficiency, population, and urbanization level on CO2 emissions in European Union (EU) countries. Our results underline the fact that urbanization level has a negative impact on increasing CO2 emissions, while biofuels, bioenergy production, and renewable energy consumption have positive and direct impacts on reducing CO2 emissions. Moreover, population growth and urbanization level are negatively correlated with CO2 emission levels. The authors’ findings suggest that the public policies at the national level must encourage the consumption of renewable energy and biofuels in the EU, while population and urbanization level should come along with more restrictions on CO2 emissions.

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Causal Relationship between Education, Carbon Dioxide (CO2 ) Emission and Economic Growth in Bangladesh

IOSR Journal of Humanities and Social Science ◽

10.9790/0837-19486067 ◽

2014 ◽

Vol 19 (4) ◽

pp. 60-67 ◽

Cited By ~ 3

Author(s):

Mirza Md. Moyen Uddin ◽

Keyword(s):

Economic Growth ◽

Carbon Dioxide ◽

Causal Relationship ◽

Co2 Emission ◽

Carbon Dioxide Co2

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Is Carbon Dioxide (CO2) Emission an Important Factor Affecting Healthcare Expenditure? Evidence from China, 2005–2016

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph16203995 ◽

2019 ◽

Vol 16 (20) ◽

pp. 3995 ◽

Cited By ~ 6

Author(s):

Chen ◽

Zhuo ◽

Xu ◽

Gao

Keyword(s):

Carbon Dioxide ◽

Air Pollution ◽

Quantile Regression ◽

Co2 Emission ◽

Healthcare Expenditure ◽

Carbon Dioxide Emission ◽

Ordinary Least Squares ◽

Bayesian Quantile Regression ◽

Carbon Dioxide Co2 ◽

The Relationship

As a result of China’s economic growth, air pollution, including carbon dioxide (CO2) emission, has caused serious health problems and accompanying heavy economic burdens on healthcare. Therefore, the effect of carbon dioxide emission on healthcare expenditure (HCE) has attracted the interest of many researchers, most of which have adopted traditional empirical methods, such as ordinary least squares (OLS) or quantile regression (QR), to analyze the issue. This paper, however, attempts to introduce Bayesian quantile regression (BQR) to discuss the relationship between carbon dioxide emission and HCE, based on the longitudinal data of 30 provinces in China (2005–2016). It was found that carbon dioxide emission is, indeed, an important factor affecting healthcare expenditure in China, although its influence is not as great as the income variable. It was also revealed that the effect of carbon dioxide emission on HCE at a higher quantile was much smaller, which indicates that most people are not paying sufficient attention to the correlation between air pollution and healthcare. This study also proves the applicability of Bayesian quantile regression and its ability to offer more valuable information, as compared to traditional empirical tools, thus expanding and deepening research capabilities on the topic.

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Policy implications of the potential carbon dioxide (CO2) emission and energy impacts of highly automated vehicles

Advances in Transport Policy and Planning - Policy Implications of Autonomous Vehicles ◽

10.1016/bs.atpp.2020.03.001 ◽

2020 ◽

pp. 149-162

Author(s):

Jan Anne Annema

Keyword(s):

Carbon Dioxide ◽

Co2 Emission ◽

Policy Implications ◽

Automated Vehicles ◽

Carbon Dioxide Co2 ◽

Potential Carbon

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A comparison of carbon dioxide (CO2) emission trends among provinces in China

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2017.01.102 ◽

2017 ◽

Vol 73 ◽

pp. 19-25 ◽

Cited By ~ 73

Author(s):

Kerui Du ◽

Chunping Xie ◽

Xiaoling Ouyang

Keyword(s):

Carbon Dioxide ◽

Co2 Emission ◽

Carbon Dioxide Co2

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The impact of political objectives on optimal electricity generation and transmission in the Southern African Power Pool

Journal of Energy in Southern Africa ◽

10.17159/2413-3051/2017/v28i3a2451 ◽

2017 ◽

Vol 28 (3) ◽

pp. 27 ◽

Cited By ~ 8

Author(s):

Philipp A. Trotter ◽

Roy Maconachie ◽

Marcelle C. McManus

Keyword(s):

Co2 Emission ◽

Democratic Republic Of Congo ◽

Supply And Demand ◽

Political Risk ◽

Optimal Size ◽

Solar Pv ◽

Trade Off ◽

Power Pool ◽

Carbon Dioxide Co2 ◽

The Impact

Southern Africa’s electrification is at odds with United Nations goals to provide modern energy for all by 2030. Electricity planning, a crucial tool to optimally match future supply and demand, has largely focused on minimising costs in southern Africa, sometimes complemented by a discussion of a discrete set of environmental scenarios. Political objectives, although their significance is well documented, had been overlooked in Southern African Power Pool (SAPP) quantitative electrification planning research. This study created a novel geo–referenced, multi–objective linear programming (MOLP) model that combines continuous cost and carbon dioxide (CO2) emission minimisation objectives with the political goal of achieving national electricity self–sufficiency, yielding the optimal trade–off between these three objectives. It solved the MOLP for three different political risk scenarios in order to examine a further political objective. The results revealed a sharp monetary trade–off between CO2 emission reductions and national electricity sovereignty objectives in the SAPP. Furthermore, curtailing international political risks had significant consequences for trade and the optimal generation mix. While the optimal size of the frequently recommended Grand Inga dam in the Democratic Republic of Congo was considerably reduced when either national electricity sovereignty or political risk constraints were imposed on the model, solar energy shares increased significantly in both cases. This was the case especially when CO2 emissions were simultaneously curtailed. Increased technological, institutional and policy–making efforts to implement solar PV at scale would therefore imply immediate political and environmental merits for national governments in the SAPP, and present a sustainable development opportunity for the region.

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Exergetic analysis of the transcritical cycle of an bottle cooler operating with CO2

HOLOS - ISSN 1807-1600 ◽

10.15628/holos.2009.250 ◽

2009 ◽

Vol 2 ◽

pp. 52

Author(s):

Igor Marcel Gomes Almeida ◽

Cleiton Rubens Formiga Barbosa ◽

Francisco De Assis Oliveira Fontes

Keyword(s):

Carbon Dioxide ◽

Second Law Of Thermodynamics ◽

Key Factors ◽

Cooling Systems ◽

Expansion Valve ◽

Exergetic Analysis ◽

Carbon Dioxide Co2 ◽

Natural Refrigerant ◽

The Impact

The second law of thermodynamics deals with the quality of energy. More specifically, it is concerned with the degradation of energy during a process, the entropy generation, and the lost opportunities to do work; and it offers plenty of room for improvement. This paper aims to identify key factors that affect refrigeration system performance with CO2. Due to the impact of global warming of CFC´s and HFC's, the use of natural refrigerants has received worldwide attention. The natural refrigerant, carbon dioxide (CO2/R744) is promising for use in cooling systems, especially in the transcritical cycle. An exergetic analysis through the cycle of a bottle cooller (exposer) adapted for commercial use with carbon dioxide was carried out so that the effectiveness of the system components can be estimated and classified, allowing direct efforts to improve performance of components to the transcritical cycle. The analysis revealed that the compressor and expansion valve are the largest sources of losses in the system, and therefore, efforts should focus on improving these components.

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