@article{Mantziaris:281335,
      recid = {281335},
      author = {Mantziaris, Stamatis and Kremmydas, Dimitris and  Karanikolas, Pavlos},
      title = {A sequential mathematical modeling approach for estimating  supply curves for energy crops under different policy  scenarios: A Greek case study},
      address = {2018-12-21},
      number = {2171-2019-034},
      pages = {40},
      month = {Dec},
      year = {2018},
      abstract = {This article studies the potential of three perennial  energy crops, miscanthus, arundo and poplar, to play such a  role in the region of Karditsa, Greece. The relevant policy  mix is analysed, discussed and outlined as a nexus of  interrelated incentives provided by policy makers and the  market. Supply curves for different energy crops can be used  as a decision-making tool by all interested parties within  a biomass-oriented supply chain; biomass producers can use  them to decide on the economic feasibility and efficiency of  a suggested energy crop, while industrial players may use  them to determine contract prices that ensure long-term  availability of inputs. For the purpose of energy crops  supply curves estimation a sequential linear programming  model is developed, which takes into consideration the  deployment of farms’ decisions in time, illustrating crop  mix and economic indicators in the medium term. As biomass  price increases, arundo cultivation reveals significant  possibility of expansion compared to miscanthus and poplar.  On the other hand, durum wheat and set-aside are decreased  significantly. Aggregate biomass supply curve moves upwards  over the studied years.},
      url = {http://ageconsearch.umn.edu/record/281335},
      doi = {https://doi.org/10.22004/ag.econ.281335},
}