the demand for fossil fuel in the transport sector is constantly increasing and transportation is ranked amongst the highest greenhouse emitting sectors globally. today, tackling co2 emissions from road transport a widely discussed topic and constitutes a milestone towards reaching a sustainable, carbon neutral economy. this challenge is being described in various initiatives adopted in the eur...

In emissions intensive industries such as iron and cement, manufacturers can invest to reduce carbon emissions. Under carbon regulations, their investment decisions will change the cost structure of production. We study the joint production and investment decisions under command-andcontrol and market-based regulations for a manufacturer. Market-based regulations include carbon tax and cap-and-t...

This paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province of Iran. Results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). The results indicated that a total energy input of 13910.67 ...

This paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province of Iran. Results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). The results indicated that a total energy input of 13910.67 ...

This study evaluates the regional and sectoral CO2 emissions estimated by different CO2 emissions accounting methodologies around 2050 under different CO2 reduction scenarios. The production-based measurement of CO2 emissions is based on polluter pays principle, while the consumption-based measurement is based on beneficiary pays principle. In the field of global warming, the widely used method...

This study aims to propose three evaluation methods to evaluate the Tokyo Cap and Trade Program when emissions trading is performed virtually among enterprises, focusing on carbon dioxide (CO2), which is the only emitted greenhouse gas that tends to increase. The first method clarifies the optimum reduction rate for the highest cost benefit, the second discusses emissions trading among enterpri...

this paper studies the modeling and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in guilan province of iran. results showed that the highest share of energy consumption belongs to diesel fuel (49.24%); followed by nitrogen (33.30%). the results indicated that a total energy input of 13910.67 ...

This paper analyzes and processes the time sequence of carbon emissions from the perspective of the BP neural network, revealing the structure and the law of all kinds of index systems of carbon emissions and describing the dynamic characteristics of carbon emissions system. Based on the synthesis of the energy structure factors, energy efficiency factors, economic development factors, populati...

Emissions reduction legislation relies upon 'bottom-up' accounting of industrial and biogenic greenhouse-gas (GHG) emissions at their sources. Yet, even for relatively well-constrained industrial GHGs, global emissions based on 'top-down' methods that use atmospheric measurements often agree poorly with the reported bottom-up emissions. For emissions reduction legislation to be effective, it is...