Modelling the perennial energy crop market: the role of spatial diffusion

被引:54
作者
Alexander, Peter [1 ,2 ]
Moran, Dominic [1 ]
Rounsevell, Mark D. A. [2 ]
Smith, Pete [3 ]
机构
[1] SRUC, Land Econ & Environm Res Grp, Edinburgh EH9 3JG, Midlothian, Scotland
[2] Univ Edinburgh, Sch Geosci, Ctr Study Environm Change & Sustainabil, Edinburgh EH8 9XP, Midlothian, Scotland
[3] Univ Aberdeen, Sch Biol Sci, Aberdeen AB24 3UU, Scotland
关键词
agent-based model; biomass; bioenergy; diffusion of innovation; land use; spatial diffusion; SHORT-ROTATION COPPICE; OILSEED RAPE; BIOENERGY; ENGLAND; BIOMASS; SIMULATION; YIELD;
D O I
10.1098/rsif.2013.0656
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Biomass produced from energy crops, such as Miscanthus and short rotation coppice is expected to contribute to renewable energy targets, but the slower than anticipated development of the UK market implies the need for greater understanding of the factors that govern adoption. Here, we apply an agent-based model of the UK perennial energy crop market, including the contingent interaction of supply and demand, to understand the spatial and temporal dynamics of energy crop adoption. Results indicate that perennial energy crop supply will be between six and nine times lower than previously published, because of time lags in adoption arising from a spatial diffusion process. The model simulates time lags of at least 20 years, which is supported empirically by the analogue of oilseed rape adoption in the UK from the 1970s. This implies the need to account for time lags arising from spatial diffusion in evaluating land-use change, climate change (mitigation or adaptation) or the adoption of novel technologies.
引用
收藏
页数:10
相关论文
共 67 条
[1]  
Alexander P, GLOB CHANGE IN PRESS
[2]   Impact of perennial energy crops income variability on the crop selection of risk averse farmers [J].
Alexander, Peter ;
Moran, Dominic .
ENERGY POLICY, 2013, 52 :587-596
[3]   Strategies for the diffusion of innovations on social networks [J].
Alkemade F. ;
Castaldi C. .
Computational Economics, 2005, 25 (1-2) :3-23
[4]  
Allanson P, 1994, EC INNOV NEW TECHNOL, V3, P31, DOI [10.1080/10438599400000002, DOI 10.1080/RSIF.R0YALS0CIETYPUBLISHING.0RG]
[5]  
[Anonymous], 2010, ECONOMIST
[6]  
[Anonymous], 2007, UK BIOM STRAT
[7]  
[Anonymous], P MODSIM 2007 INT C
[8]  
[Anonymous], 2012, UK BIOEN STRAT
[9]  
[Anonymous], DIG UK EN STAT 2011
[10]  
[Anonymous], 2011, UK REN EN ROADM