Sheep production in Canada is a small industry in comparison to other livestock systems. Because of the potential for expansion of the sheep industry in Canada, the GHG emissions budget of this industry was assessed in this paper. The GHG emissions from Canadian lamb production were compared with those from the Canadian beef industry using the ULICEES model. The GHG emission intensity of the Ca...

BACKGROUND The term global health governance (GHG) is now widely used, with over one thousand works published in the scholarly literature, almost all since 2002. Amid this rapid growth there is considerable variation in how the term is defined and applied, generating confusion as to the boundaries of the subject, the perceived problems in practice, and the goals to be achieved through instituti...

Automotive manufacturing is energy-intensive. The consumed energy contributes to the generation of significant amounts of greenhouse gas (GHG) emissions by the automotive manufacturing industry. In this paper, a study is conducted on assessing the application potential of such clean energy power systems as solar PV, wind and fuel cells in reducing the GHG emissions of the global auto manufactur...

Demand for tools to rapidly assess greenhouse gas impacts from policy and technological change in the agricultural sector has catalyzed the development of 'GHG calculators'- simple accounting approaches that use a mix of emission factors and empirical models to calculate GHG emissions with minimal input data. GHG calculators, however, rely on models calibrated from measurements conducted overwh...

Forest soils are a source/sink of greenhouse gases, and have significant impacts on the budget of these terrestrial greenhouse gases. Here, we show climate-driven changes in soil GHG fluxes (CO₂ emission, CH₄ uptake, and N₂O emission) in Japanese forests from 1980 to 2009, which were estimated using a regional soil GHG model that is data-oriented. Our study reveals that the soil GHG fluxes in J...

The Air Resources Board (ARB) has the primary responsibility for reducing greenhouse gas (GHG) emissions in California under the Global Warming Solutions Act of 2006 (AB 32). The overall mandate is to achieve 1990 GHG emission levels by 2020. In our efforts to reduce GHG emissions mandated by AB 32, ARB staff is currently working on multiple sector-specific GHG activities. The glass manufacturi...

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 ...

To establish a micro foundation to understand the impacts of greenhouse gas (GHG) emission regulations and financial development levels on firms' GHG emissions, we build a two-stage dynamic game model to incorporate GHG emission regulations (in terms of an emission tax) and financial development (represented by the corresponding financing cost) into a two-echelon supply chain. With the subgame ...

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 ...