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

Author

Listed:
  • Mikkel Bojesen

    (Department of Food and Resource Economics, University of Copenhagen)

  • Hans Skov-Petersen

    (Department of Geosciences and Natural Resource Management, University of Copenhagen)

  • Morten Gylling

    (Department of Food and Resource Economics, University of Copenhagen)

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.

Suggested Citation

  • Mikkel Bojesen & Hans Skov-Petersen & Morten Gylling, 2013. "Forecasting the potential of Danish biogas production: spatial representation of Markov chains," IFRO Working Paper 2013/16, University of Copenhagen, Department of Food and Resource Economics.
  • Handle: RePEc:foi:wpaper:2013_16
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    File URL: http://okonomi.foi.dk/workingpapers/WPpdf/WP2013/IFRO_WP_2013_16.pdf
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    References listed on IDEAS

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    1. Happe, Kathrin & Balmann, Alfons & Kellermann, Konrad & Sahrbacher, Christoph, 2008. "Does structure matter? The impact of switching the agricultural policy regime on farm structures," Journal of Economic Behavior & Organization, Elsevier, vol. 67(2), pages 431-444, August.
    2. Happe, K. & Hutchings, N.J. & Dalgaard, T. & Kellerman, K., 2011. "Modelling the interactions between regional farming structure, nitrogen losses and environmental regulation," Agricultural Systems, Elsevier, vol. 104(3), pages 281-291, March.
    3. Stokes, Jeffrey R., 2006. "Entry, Exit, and Structural Change in Pennsylvania's Dairy Sector," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(2), pages 357-373, October.
    4. Huettel, Silke & Jongeneel, Roelof A., 2008. "Structural Change in the Dairy Sectors of Germany and The Netherlands - A Markov Chain Analysis," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 43659, European Association of Agricultural Economists.
    5. Rasmussen, Svend, 2011. "Estimating the Technical Optimal Scale of Production in Danish Agriculture," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114790, European Association of Agricultural Economists.
    6. Balmann, Alfons, 1997. "Farm-Based Modelling of Regional Structural Change: A Cellular Automata Approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 24(1), pages 85-108.
    7. Jackson, Christopher, 2011. "Multi-State Models for Panel Data: The msm Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 38(i08).
    8. Silke Huettel & Anne Margarian, 2009. "Structural change in the West German agricultural sector," Agricultural Economics, International Association of Agricultural Economists, vol. 40(s1), pages 759-772, November.
    9. Jongeneel, Roelof A., 2002. "An Analysis of the Impact of Alternative EU Dairy Policies on the Size Distribution of Dutch Dairy Farms: an Information Based Approach to the Non-Stationary Markov Chain Model," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24892, European Association of Agricultural Economists.
    10. Piet, Laurent, 2008. "The evolution of farm size distribution: revisiting the Markov chain model," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44269, European Association of Agricultural Economists.
    11. Axel Tonini & Roel Jongeneel, 2009. "The distribution of dairy farm size in Poland: a markov approach based on information theory," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 55-69.
    12. Matis, J. H. & Saito, T. & Grant, W. E. & Iwig, W. C. & Ritchie, J. T., 1985. "A Markov chain approach to crop yield forecasting," Agricultural Systems, Elsevier, vol. 18(3), pages 171-187.
    13. Allen, P. Geoffrey, 1994. "Economic forecasting in agriculture," International Journal of Forecasting, Elsevier, vol. 10(1), pages 81-135, June.
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    Cited by:

    1. Mikkel Bojesen & Luc Boerboom & Hans Skov-Petersen, 2014. "Towards a sustainable capacity expansion of the Danish biogas sector," IFRO Working Paper 2014/03, University of Copenhagen, Department of Food and Resource Economics.
    2. Bojesen, M. & Birkin, M. & Clarke, G., 2014. "Spatial competition for biogas production using insights from retail location models," Energy, Elsevier, vol. 68(C), pages 617-628.

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    More about this item

    Keywords

    structural changes; Markov Chain Models; biogas; agriculture;
    All these keywords.

    JEL classification:

    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices

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