Green growth and low carbon emission in G7 countries: How critical the network of environmental taxes, renewable energy and human capital is?

2021 ◽  
Vol 752 ◽  
pp. 141853 ◽  
Author(s):  
Lin-Na Hao ◽  
Muhammad Umar ◽  
Zeeshan Khan ◽  
Wajid Ali
Keyword(s):  
Human Capital ◽  
Renewable Energy ◽  
Carbon Emission ◽  
Environmental Taxes ◽  
Low Carbon ◽  
Green Growth ◽  
G7 Countries ◽  
Low Carbon Emission

Optimal Sizing and Operation of Microgrid in a Small Island Considering Advanced Direct Load Control and Low Carbon Emission

2021 ◽  
Author(s):  
Homeyra Akter ◽  
Harun Or Rashid Howlader ◽  
Ahmed Y. Saber ◽  
Ashraf M. Hemeida ◽  
Hiroshi Takahashi ◽  
...  
Keyword(s):  
Carbon Emission ◽  
Small Island ◽  
Load Control ◽  
Low Carbon ◽  
Optimal Sizing ◽  
Direct Load Control ◽  
Low Carbon Emission

scholarly journals Constructing an Environmental Friendly Low-Carbon-Emission Intelligent Transportation System Based on Big Data and Machine Learning Methods

2020 ◽  
Vol 12 (19) ◽  
pp. 8118
Author(s):  
Tu Peng ◽  
Xu Yang ◽  
Zi Xu ◽  
Yu Liang
Keyword(s):  
Sustainable Development ◽  
Environmental Pollution ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Intelligent Transportation ◽  
Exhaust Emissions ◽  
Low Carbon ◽  
Vehicle Exhaust ◽  
The Sustainable Development ◽  
Low Carbon Emission

The sustainable development of mankind is a matter of concern to the whole world. Environmental pollution and haze diffusion have greatly affected the sustainable development of mankind. According to previous research, vehicle exhaust emissions are an important source of environmental pollution and haze diffusion. The sharp increase in the number of cars has also made the supply of energy increasingly tight. In this paper, we have explored the use of intelligent navigation technology based on data analysis to reduce the overall carbon emissions of vehicles on road networks. We have implemented a traffic flow prediction method using a genetic algorithm and particle-swarm-optimization-enhanced support vector regression, constructed a model for predicting vehicle exhaust emissions based on predicted road conditions and vehicle fuel consumption, and built our low-carbon-emission-oriented navigation algorithm based on a spatially optimized dynamic path planning algorithm. The results show that our method could help to significantly reduce the overall carbon emissions of vehicles on the road network, which means that our method could contribute to the construction of low-carbon-emission intelligent transportation systems and smart cities.

Production decisions of new and remanufactured products: Implications for low carbon emission economy

2018 ◽  
Vol 171 ◽  
pp. 1225-1243 ◽  
Author(s):  
Xiaofeng Wang ◽  
Yiting Zhu ◽  
Hui Sun ◽  
Fu Jia
Keyword(s):  
Carbon Emission ◽  
Low Carbon ◽  
Production Decisions ◽  
Low Carbon Emission
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