Combining empirical and theory-based land-use modelling approaches to assess economic potential of biofuel production avoiding iLUC: Argentina as a case study
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DOI: 10.1016/j.rser.2014.02.040
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Cited by:
- Zhang, Jianjun & Chen, Yang & Rao, Yongheng & Fu, Meichen & Prishchepov, Alexander V., 2017. "Alternative spatial allocation of suitable land for biofuel production in China," Energy Policy, Elsevier, vol. 110(C), pages 631-643.
- Diogo, V. & Reidsma, P. & Schaap, B. & Andree, B.P.J. & Koomen, E., 2017. "Assessing local and regional economic impacts of climatic extremes and feasibility of adaptation measures in Dutch arable farming systems," Agricultural Systems, Elsevier, vol. 157(C), pages 216-229.
- Andrée, Bo Pieter Johannes & Diogo, Vasco & Koomen, Eric, 2017. "Efficiency of second-generation biofuel crop subsidy schemes: Spatial heterogeneity and policy design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 848-862.
- Joselin Herbert, G.M. & Unni Krishnan, A., 2016. "Quantifying environmental performance of biomass energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 292-308.
- Huang, Xinxin & Wang, Haijun & Xiao, Fentao, 2022. "Simulating urban growth affected by national and regional land use policies: Case study from Wuhan, China," Land Use Policy, Elsevier, vol. 112(C).
- Diogo, V. & Koomen, E. & Kuhlman, T., 2015. "An economic theory-based explanatory model of agricultural land-use patterns: The Netherlands as a case study," Agricultural Systems, Elsevier, vol. 139(C), pages 1-16.
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Keywords
Bioenergy; Food production; Land competition; Indirect land-use change; Spatial analysis; Soy; Switchgrass;All these keywords.
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