The Indirect Land Use Impacts of United States Biofuel Policies: The Importance of Acreage, Yield, and Bilateral Trade Responses

By R. Keeney, Thomas W. Hertel. 2009

278 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Biomedical Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/5e1e68ee3377f5d451ddb733c891a284d28f67f3

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Citations in the corpus

Commodity Price Volatility in the Biofuel Era: An Examination of the Linkage between Energy and Agricultural Markets (2010, unknown): “The value of a global, AGE approach in analyzing the international trade and land use impacts of biofuel mandates has previously been demonstrated in the work of Banse et al. (2008), Gohin and Chantret (2010), and Keeney and Hertel (2009).”
Effects of US Maize Ethanol on Global Land Use and Greenhouse Gas Emissions: Estimating Market-Mediated Responses (2010, background): “The size of the US yield response to maize prices appears to have diminished over time (Keeney and Hertel 2009).”
The land use–climate change–energy nexus (2011, background): “For example, crop yields may increase with new technology, allowing bioenergy feedstocks to be produced with the use of less land and with potentially greater net carbon sequestration (Keeney and Hertel 2009).”
Biofuel Supply Chain Design Under Competitive Agricultural Land Use and Feedstock Market Equilibrium (2012, background): “In comparison, general equilibrium models capture the economic implications at the global level rather than that at regional, industry or commodity levels (e.g., Berkes et al., 2003; Feng and Babcock, 2008; Gehlhar et al., 2010; Keeney and Hertel, 2009; Tyner and Taheripour, 2008).”
Ethanol Expansion and Indirect Land Use Change in Brazil (2014, methodology): “Column totals relate to row totals using the average rate of change 8 Keeney and Hertel (2008) use the same 0.5 exponent, which they attribute to the FAPRI model. of land use during the last 11 years (see Table 1).”
Rising Global Interest in Farmland: Can It Yield Sustainable and Equitable Benefits? (2011, background): “Computable general equilibrium (CGE) models allow for adjustments to prices and trade that induce land supply in regions where land is fairly abundant (Keeney and Hertel 2009).”
Population–Urbanization–Energy Nexus: A Review (2019, background): “Despite extensive speculation based on numerical simulation [25], empirical evidence suggests that biofuel markets have an insignificant impact on global deforestation trends because deforestation is mainly governed by the political set-up and socioeconomic drivers [26–28].”
Integrating Bioenergy into Computable General Equilibrium Models – A Survey (2010, background): “, 2009) and augmented versions of GTAP (Birur et al., 2008; Hertel et al., 2008; Keeney and Hertel, 2008).”