2006
DOI: 10.1016/j.agee.2005.11.006
|View full text |Cite
|
Sign up to set email alerts
|

The impact of different policy environments on agricultural land use in Europe

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

2
196
0
10

Year Published

2010
2010
2022
2022

Publication Types

Select...
6
1
1

Relationship

0
8

Authors

Journals

citations
Cited by 331 publications
(208 citation statements)
references
References 9 publications
2
196
0
10
Order By: Relevance
“…Interactions concerning food demand, biomass energy and forest at the global scale are subject to growing interest, especially regarding indirect land-use changes (Searchinger et al, 2008) and the consequences for food prices of agrofuel production and forest preservation (Baier et al, 2009;Tokgoz and Elobeid, 2006;Wise et al, 2009). This study presents a new global model approach to tackling this issue by providing a detailed representation of agricultural intensification mechanisms -which are viewed as a key driver to bridge conflicts on land-use (van Vuuren et al, 2009) -in a structure accounting for the main types of demand for biomass at the global scale.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Interactions concerning food demand, biomass energy and forest at the global scale are subject to growing interest, especially regarding indirect land-use changes (Searchinger et al, 2008) and the consequences for food prices of agrofuel production and forest preservation (Baier et al, 2009;Tokgoz and Elobeid, 2006;Wise et al, 2009). This study presents a new global model approach to tackling this issue by providing a detailed representation of agricultural intensification mechanisms -which are viewed as a key driver to bridge conflicts on land-use (van Vuuren et al, 2009) -in a structure accounting for the main types of demand for biomass at the global scale.…”
Section: Discussionmentioning
confidence: 99%
“…implemented in MIRAGE, Decreux and Valin, 2007), or on an explicit description of the agricultural sector both in economic and biophysical terms. In van Meijl et al (2006), demand for land and intensification from the GTAP general equilibrium model is used in the IMAGE model to determine changes in land yield and feed efficiency rates. Two partial equilibrium models of the agricultural sector, MAgPIE (LotzeCampen et al, 2008) and GLOBIOM (Havlík et al, 2011), take into account economic constraints through a cell-based cost minimisation, and are coupled with a dynamic vegetation model with explicit crop functional types.…”
Section: Introductionmentioning
confidence: 99%
“…It is built upon the GTAP model (Hertel, 1997) and is the successor to the LEITAP model, which was used in the MEV I study and in many other policy analyses (see e.g. Banse et al, 2008;van Meijl et al, 2006;Nowicki et al, 2009, Woltjer, 2011. MAGNET is one of the nine global models selected in the OECD\AgMIP model inter-comparison project on the long term future of agriculture (including bioenergy developments; see Nelson et al, 2013;Von Lampe et al, 2014and Robinson et al, 2014.…”
Section: Methodological Structurementioning
confidence: 99%
“…MAGNET includes an improved treatment of agricultural sectors (e.g. various imperfectly substitutable types of land, the land use allocation structure, a land supply function, and substitution between various animal feed components; Meijl et al, 2006, Eickhout et al, 2009), agricultural policy (e.g. production quotas and different land-related payments; Nowicki et al, 2009) and biofuel policy (capital-energy substitution, fossil fuels-biofuels substitution; Banse et al, 2008).…”
Section: Methodological Structurementioning
confidence: 99%
“…This approach is well-established and allows for the application of successful models across large geographical extents (Heistermann et al 2006;van Meijl et al 2006;Verburg et al 2008;Verburg and Overmars 2009;Meiyappan et al 2014). However, many other models take an alternative 'bottom-up' (or 'process-based') approach that focuses on basic processes and entities and allows system-wide developments to emerge from these, synthetically producing output data from local interactions.…”
Section: Introductionmentioning
confidence: 99%