IDEAS home Printed from https://ideas.repec.org/a/ags/gewipr/261503.html
   My bibliography  Save this article

Bestimmungsfaktoren der Silomaisproduktion - Eine räumlich-ökonometrische Analyse

Author

Listed:
  • Scholz, L.
  • Meyer-Aurich, A.
  • Kirschke, D.

Abstract

Der Ausbau der Silomaisproduktion hat in den letzten Jahren eine dynamische Entwicklung erlebt. Dies geschah vor dem Hintergrund kontinuierlich abnehmender Rinderbestände und einem rasanten Anstieg der Biogasproduktion. Angaben zum tatsächlichen Anbauumfang von Silomais für die deutsche Biogaserzeugung divergieren für das Jahr 2010 zwischen 500 000 ha und 800 000 ha. Auf Basis der im Rahmen dieser Studie entwickelten räumlich-ökonometrischen Schätzmodelle, kann eine Abschätzung des Einsatzes von Silomais in der Biogasproduktion und Milch- und Rinderhaltung am Beispiel des Bundeslandes Bayern gegeben werden. So beträgt der durchschnittlich geschätzte Anteil von Silomais an der landwirtschaftlichen Nutzfläche in Bayern 4,5 % für die Biogasproduktion und für die Milch- und Rindviehhaltung durchschnittlich 7,2 %. Für energetische Zwecke werden zudem schät-zungsweise 40 % der Gesamtproduktion von Silomais eingesetzt. Durch die Ergebnisse dieser Studie kann ein möglicher weiterer Ausbau der Biogasproduktion umfassender bewertet werden. Mögliche Nutzungskonkurrenzen zwischen traditionellen Agrarsystemen und der Biogasproduktion sollten regional differenziert und auf einem möglichst hoch auflösenden räumlichen Aggregationsniveau betrachtet werden.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Scholz, L. & Meyer-Aurich, A. & Kirschke, D., 2014. "Bestimmungsfaktoren der Silomaisproduktion - Eine räumlich-ökonometrische Analyse," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 49, March.
    • Handle: RePEc:ags:gewipr:261503
    DOI: 10.22004/ag.econ.261503
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/261503/files/Bd49Nr12.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/261503/files/Bd49Nr12.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.261503?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Thiering, Jochen & Bahrs, Enno, 2011. "Biogasproduktion in Deutschland – Sollte die energetische Nutzung von Wirtschaftsdünger explizit gefördert werden?," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 60(4).
    2. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    3. Luc Anselin & Raymond J. G. M. Florax, 1995. "Small Sample Properties of Tests for Spatial Dependence in Regression Models: Some Further Results," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax (ed.), New Directions in Spatial Econometrics, chapter 2, pages 21-74, Springer.
    4. Habermann, Hendrik & Breustedt, Gunnar, 2011. "Einfluss der Biogaserzeugung auf landwirtschaftliche Pachtpreise in Deutschland," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 60(02), pages 1-16, May.
    5. Meyer-Aurich, Andreas & Schattauer, Alexander & Hellebrand, Hans Jürgen & Klauss, Hilde & Plöchl, Matthias & Berg, Werner, 2012. "Impact of uncertainties on greenhouse gas mitigation potential of biogas production from agricultural resources," Renewable Energy, Elsevier, vol. 37(1), pages 277-284.
    6. David M. Drukker & Ingmar Prucha & Rafal Raciborski, 2013. "Maximum likelihood and generalized spatial two-stage least-squares estimators for a spatial-autoregressive model with spatial-autoregressive disturbances," Stata Journal, StataCorp LP, vol. 13(2), pages 221-241, June.
    7. Habermann, Hendrik & Breustedt, Gunnar, 2011. "Einfluss der Biogaserzeugung auf landwirtschaftliche Pachtpreise in Deutschland," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 60(2).
    8. Thiering, Jochen & Bahrs, Enno, 2011. "Biogasproduktion in Deutschland – Sollte die energetische Nutzung von Wirtschaftsdünger explizit gefördert werden?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 60(04), pages 1-17, November.
    9. Eckey, Hans-Friedrich & Kosfeld, Reinhold & Türck, Matthias, 2006. "Abgrenzung deutscher Arbeitsmarktregionen," Volkswirtschaftliche Diskussionsbeiträge 81, University of Kassel, Faculty of Economics and Management.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hennig Solveigh & Breustedt Gunnar, 2018. "The Incidence of Agricultural Subsidies on Rental Rates for Grassland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(2), pages 125-156, April.
    2. Back, Hans & Lehn , Friederike & Bahrs, Enno, 2018. "Der Einfluss Von Flächenkonzentration Und -Disparität Auf Die Bodenrichtwerte Von Ackerflächen – Thüringen, Rheinland-Pfalz Und Nordrhein-Westfalen Im Vergleich," 58th Annual Conference, Kiel, Germany, September 12-14, 2018 275847, German Association of Agricultural Economists (GEWISOLA).
    3. David M. Cutler & J. Travis Donahoe, 2024. "Thick Market Externalities and the Persistence of the Opioid Epidemic," NBER Working Papers 32055, National Bureau of Economic Research, Inc.
    4. Yihua Yu & Jing Wang & Xi Tian, 2016. "Identifying the Flypaper Effect in the Presence of Spatial Dependence: Evidence from Education in China's Counties," Growth and Change, Wiley Blackwell, vol. 47(1), pages 93-110, March.
    5. Oliviero A. Carboni & Claudio Detotto, 2016. "The economic consequences of crime in Italy," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(1), pages 122-140, January.
    6. Heinrich, F. & Appel, F., 2018. "Do investors ruin Germany s peasant agriculture?," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277171, International Association of Agricultural Economists.
    7. Fang, Ying & Park, Sung Y. & Zhang, Jinfeng, 2014. "A simple spatial dependence test robust to local and distributional misspecifications," Economics Letters, Elsevier, vol. 124(2), pages 203-206.
    8. Whitaker, Stephan & Fitzpatrick IV, Thomas J., 2013. "Deconstructing distressed-property spillovers: The effects of vacant, tax-delinquent, and foreclosed properties in housing submarkets," Journal of Housing Economics, Elsevier, vol. 22(2), pages 79-91.
    9. Alexander März & Nadja Klein & Thomas Kneib & Oliver Musshoff, 2016. "Analysing farmland rental rates using Bayesian geoadditive quantile regression," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(4), pages 663-698.
    10. Oliviero A. Carboni, 2013. "A spatial analysis of R&D: the role of industry proximity," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(8), pages 820-839, November.
    11. Anna Sobczak & Ewa Chomać-Pierzecka & Andrzej Kokiel & Monika Różycka & Jacek Stasiak & Dariusz Soboń, 2022. "Economic Conditions of Using Biodegradable Waste for Biogas Production, Using the Example of Poland and Germany," Energies, MDPI, vol. 15(14), pages 1-18, July.
    12. Emmann, Carsten H. & Guenther-Lübbers, Welf & Theuvsen, Ludwig, 2013. "Impacts of Biogas Production on the Production Factors Land and Labour – Current Effects, Possible Consequences and Further Research Needs," 2013 International European Forum, February 18-22, 2013, Innsbruck-Igls, Austria 164768, International European Forum on System Dynamics and Innovation in Food Networks.
    13. Dubé, Jean & Legros, Diègo & Devaux, Nicolas, 2018. "From bus to tramway: Is there an economic impact of substituting a rapid mass transit system? An empirical investigation accounting for anticipation effect," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 73-87.
    14. Maria Kyriacou & Peter C. B. Phillips & Francesca Rossi, 2017. "Indirect inference in spatial autoregression," Econometrics Journal, Royal Economic Society, vol. 20(2), pages 168-189, June.
    15. Guenther-Lübbers, W. & Theuvsen, L., 2015. "Regionalökonomische Effekte der niedersächsischen Biogasproduktion," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 50, March.
    16. Peter M. Schwarz & Gwendolyn L. Gill & Alex Hanning & Caleb A. Cox, 2017. "Estimating The Effects Of Brownfields And Brownfield Remediation On Property Values In A New South City," Contemporary Economic Policy, Western Economic Association International, vol. 35(1), pages 143-164, January.
    17. Henning Schaak & Oliver Musshoff, 2022. "The distribution of the rent–price relationship of agricultural land in Germany," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(3), pages 696-718.
    18. Atreya, Ajita & Susana, Ferreira, 2012. "Analysis of Spatial Variation in Flood Risk Perception," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119738, Southern Agricultural Economics Association.
    19. Riedel, Nadine & Simmler, Martin & Wittrock, Christian, 2020. "Local fiscal policies and their impact on the number and spatial distribution of new firms," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    20. Olena Myrna & Martin Odening & Matthias Ritter, 2019. "The Influence of Wind Energy and Biogas on Farmland Prices," Land, MDPI, vol. 8(1), pages 1-14, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:gewipr:261503. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gewisea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.