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| Golub, Alla A.; Hertel, Thomas W.; Rose, Steven K.; Sohngen, Brent. |
| There is significant policy interest in liquid biofuels with appealing prospects for energy security, farm security, poverty alleviation, and climate change. Large-scale commercial biofuel production could have far reaching implications for regional and global markets – particularly those related to energy and land use. As such, large-scale biofuels growth is likely to have significant impacts on global greenhouse gas (GHG) emissions. This paper utilizes a CGE model with explicit biofuel, land, and energy markets. The model is able to estimate the effects on the broad range of input and output markets potentially affected globally by biofuels policies. One of the most controversial issues within the biofuels debate is potential indirect changes in land use... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Land use change; Biofuels; CGE model; Forest carbon stocks; GHG emissions; Resource /Energy Economics and Policy. |
| Ano: 2008 |
URL: http://purl.umn.edu/47450 |
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| Sintori, Alexandra; Tsiboukas, Kostas. |
| Agricultural activity has been identified as a considerable source of Greenhouse Gas (GHG) emissions. Emissions from ruminant livestock farms are produced particularly due to CH4 emissions from enteric fermentation. Dairy sheep farming is the most important livestock production activity in Greece, characterized by a high degree of farm diversification. This paper addresses the issue of the evaluation of GHG emissions of Greek dairy sheep farms, through the use of a whole farm mathematical programming model that uses farm level data and optimizes total gross margin. Mathematical programming models are an appropriate tool, when addressing complex issues, such as GHG emissions. The analysis is undertaken on different farm types, instead of a representative... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Dairy sheep farming; Linear programming; GHG emissions; Abatement cost; Environmental Economics and Policy. |
| Ano: 2010 |
URL: http://purl.umn.edu/91812 |
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| Taylor, Richard D.; Koo, Won W.. |
| The objective of this study is to evaluate the changes in U.S. sugar production and Greenhouse Gas (GHG) emissions from the sugar industry if the United States regulates GHG emissions from domestic sugar processing facilities. A spatial equilibrium model is developed to optimize sugar production in the United States under a base scenario and three different levels of CO2e taxes or prices of carbon offsets. This research focuses on U.S. sugar production, both beet and cane sugar. In the model the United States is divided into 6 beet growing regions and 4 cane growing regions. The model also includes Mexico as a domestic sugar growing region as Mexico has the ability to export unlimited amount of sugar into the United States under NAFTA. A rest of the... |
| Tipo: Report |
Palavras-chave: GHG emissions; CO2e; Sugar; Spatial equilibrium model; Carbon tax; Cap and trade; Agribusiness; Environmental Economics and Policy. |
| Ano: 2010 |
URL: http://purl.umn.edu/93027 |
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| Ribeiro,Luiz Carlos de Santana; Leão,Eder Johnson de Area; Freitas,Lúcio Flávio da Silva. |
| Abstract: In the last three decades, the developing countries have sharply increased its contribution to global warming. From 2005 to 2012, Brazil has reduced its total emissions in 12% due to deforestation control. In the same period, the total GHG emissions excluding land-use change and forestry have increased 18% (WRI, 2014), while per capita GPD has raised 17%. The Brazilian climate policy must go beyond the deforestation control to avoid an unsustainable pattern of development. Since the mitigation effort bears heavily on primary activities, one must ask: how important are those sectors for Brazilian economy? And how their emissions are connected to other sectors along the productive chain? Specifically, this paper aims to calculate the GHG emissions... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Input-output; GHG emissions; Agriculture; Brazilian economy. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032018000200225 |
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