Forecasting the potential of Danish biogas production: spatial representation of Markov chains

Research output: Working paperResearch

Standard

Forecasting the potential of Danish biogas production : spatial representation of Markov chains. / Bojesen, Mikkel; Skov-Petersen, Hans; Gylling, Morten.

Department of Food and Resource Economics, University of Copenhagen, 2013.

Research output: Working paperResearch

Harvard

Bojesen, M, Skov-Petersen, H & Gylling, M 2013 'Forecasting the potential of Danish biogas production: spatial representation of Markov chains' Department of Food and Resource Economics, University of Copenhagen. <http://econpapers.repec.org/RePEc:foi:wpaper:2013_16>

APA

Bojesen, M., Skov-Petersen, H., & Gylling, M. (2013). Forecasting the potential of Danish biogas production: spatial representation of Markov chains. Department of Food and Resource Economics, University of Copenhagen. IFRO Working Paper No. 2013/16 http://econpapers.repec.org/RePEc:foi:wpaper:2013_16

Vancouver

Bojesen M, Skov-Petersen H, Gylling M. Forecasting the potential of Danish biogas production: spatial representation of Markov chains. Department of Food and Resource Economics, University of Copenhagen. 2013.

Author

Bojesen, Mikkel ; Skov-Petersen, Hans ; Gylling, Morten. / Forecasting the potential of Danish biogas production : spatial representation of Markov chains. Department of Food and Resource Economics, University of Copenhagen, 2013. (IFRO Working Paper; No. 2013/16).

Bibtex

@techreport{82f9b73a864b4e11bf59efc35c056449,
title = "Forecasting the potential of Danish biogas production: spatial representation of Markov chains",
abstract = "This paper forecasts the spatial distribution of Danish husbandry production from 2009 until 2025. The study builds on a time series data set (1999 – 2009) for the number of livestock units (including piglets, finishers, sows, dairy cattle and young stock) measured by 1km2 grid cells for the whole of Denmark. A Markov Chain Model (MCM) was applied to estimate transition probabilities for the future livestock intensity composition, divided into state classes. Neighbouring effects between grid cells were not included. The modelled transition probabilities fit the data very well in all state classes, except for those farms which are in the largest state class. Regional differences in development trends were documented. The strategic objective of the model is to provide data for the spatial assessment of the potential of biogas production which can form the basis for a location analysis for future biogas plants. ",
author = "Mikkel Bojesen and Hans Skov-Petersen and Morten Gylling",
year = "2013",
language = "English",
series = "IFRO Working Paper",
publisher = "Department of Food and Resource Economics, University of Copenhagen",
number = "2013/16",
type = "WorkingPaper",
institution = "Department of Food and Resource Economics, University of Copenhagen",

}

RIS

TY - UNPB

T1 - Forecasting the potential of Danish biogas production

T2 - spatial representation of Markov chains

AU - Bojesen, Mikkel

AU - Skov-Petersen, Hans

AU - Gylling, Morten

PY - 2013

Y1 - 2013

N2 - This paper forecasts the spatial distribution of Danish husbandry production from 2009 until 2025. The study builds on a time series data set (1999 – 2009) for the number of livestock units (including piglets, finishers, sows, dairy cattle and young stock) measured by 1km2 grid cells for the whole of Denmark. A Markov Chain Model (MCM) was applied to estimate transition probabilities for the future livestock intensity composition, divided into state classes. Neighbouring effects between grid cells were not included. The modelled transition probabilities fit the data very well in all state classes, except for those farms which are in the largest state class. Regional differences in development trends were documented. The strategic objective of the model is to provide data for the spatial assessment of the potential of biogas production which can form the basis for a location analysis for future biogas plants.

AB - This paper forecasts the spatial distribution of Danish husbandry production from 2009 until 2025. The study builds on a time series data set (1999 – 2009) for the number of livestock units (including piglets, finishers, sows, dairy cattle and young stock) measured by 1km2 grid cells for the whole of Denmark. A Markov Chain Model (MCM) was applied to estimate transition probabilities for the future livestock intensity composition, divided into state classes. Neighbouring effects between grid cells were not included. The modelled transition probabilities fit the data very well in all state classes, except for those farms which are in the largest state class. Regional differences in development trends were documented. The strategic objective of the model is to provide data for the spatial assessment of the potential of biogas production which can form the basis for a location analysis for future biogas plants.

M3 - Working paper

T3 - IFRO Working Paper

BT - Forecasting the potential of Danish biogas production

PB - Department of Food and Resource Economics, University of Copenhagen

ER -

ID: 54579164