IDEAS home Printed from https://ideas.repec.org/p/ags/gewi16/244886.html
   My bibliography  Save this paper

Using Econometric Models To Analyse The Spatial Distribution Of Oil Pumpkin Cultivation In Austria

Author

Listed:
  • Niedermayr, Andreas
  • Kapfer, Martin
  • Kantelhardt, Jochen

Abstract

The liberalisation and globalisation of agricultural markets, has led to a shift of the EU common agricultural policy from quantity based to quality based policies and is accompanied by diversification of agricultural production in the European Union. For policy makers it is therefore relevant to better understand the drivers that influence the adoption and spatial distribution of emerging alternative practices and commodities in agriculture. Taking the Styrian Oil Pumpkin as an example, the aim of this study is to quantify the drivers of spatial variations in the cultivation of an emerging alternative crop. We estimate different econometric models, drawing on cross sectional data of the year 2010 of 549 municipalities in the Styrian Oil Pumpkin PGI area. Our findings indicate that (i) crop specific factors, (ii) region specific factors and (iii) spatial interdependencies influence spatial variations in oil pumpkin cultivated area and conclude that these factors also need to be considered for the promotion of other emerging alternative practices and commodities in agriculture.

Suggested Citation

  • Niedermayr, Andreas & Kapfer, Martin & Kantelhardt, Jochen, 2016. "Using Econometric Models To Analyse The Spatial Distribution Of Oil Pumpkin Cultivation In Austria," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244886, German Association of Agricultural Economists (GEWISOLA).
  • Handle: RePEc:ags:gewi16:244886
    DOI: 10.22004/ag.econ.244886
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/244886/files/Niedermayr.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.244886?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
    ---><---

    References listed on IDEAS

    as
    1. Stephen Gibbons & Henry G. Overman, 2012. "Mostly Pointless Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 172-191, May.
    2. Stanley R. Thompson & Roland Herrmann & Wolfgang Gohout, 2000. "Agricultural Market Liberalization and Instability of Domestic Agricultural Markets: The Case of the CAP," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(3), pages 718-726.
    3. Jensen, Kimberly L. & Clark, Christopher D. & Ellis, Pamela & English, Burton C. & Menard, R. Jamey & Walsh, Marie E., 2006. "Farmer Willingness to Grow Switchgrass for Energy Production," 2006 Annual meeting, July 23-26, Long Beach, CA 21355, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Becker, Tilman C., 2009. "European Food Quality Policy: The Importance of Geographical Indications, Organic Certification and Food Quality Assurance Schemes in European Countries," Estey Centre Journal of International Law and Trade Policy, Estey Centre for Law and Economics in International Trade, vol. 10(1), pages 1-20.
    5. Murat Isik, 2004. "Environmental Regulation and the Spatial Structure of the U.S. Dairy Sector," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 949-962.
    6. Ika Darnhofer & Walter Schneeberger & Bernhard Freyer, 2005. "Converting or not converting to organic farming in Austria:Farmer types and their rationale," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 22(1), pages 39-52, March.
    7. Garth Holloway & Donald Lacombe & James P. LeSage, 2007. "Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 549-588, September.
    8. Arslan, Aslihan & McCarthy, Nancy & Lipper, Leslie & Asfaw, Solomon & Cattaneo, Andrea, 2013. "Adoption and Intensity of Adoption of Conservation Farming Practices in Zambia," Food Security Collaborative Working Papers 147461, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    9. McNamara, Kevin T. & Weiss, Christoph, 2005. "Farm Household Income and On- and Off-Farm Diversification," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(1), pages 37-48, April.
    10. Doris Läpple & Hugh Kelley, 2015. "Spatial dependence in the adoption of organic drystock farming in Ireland," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 42(2), pages 315-337.
    11. Nicola Consmüller & Volker Beckmann & Martin Petrick, 2010. "An econometric analysis of regional adoption patterns of Bt maize in Germany," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3‐4), pages 275-284, May.
    12. Knowler, Duncan & Bradshaw, Ben, 2007. "Farmers' adoption of conservation agriculture: A review and synthesis of recent research," Food Policy, Elsevier, vol. 32(1), pages 25-48, February.
    13. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    14. James P. LeSage, 2014. "What Regional Scientists Need to Know about Spatial Econometrics," The Review of Regional Studies, Southern Regional Science Association, vol. 44(1), pages 13-32, Spring.
    15. Anselin, Luc, 2002. "Under the hood : Issues in the specification and interpretation of spatial regression models," Agricultural Economics, Blackwell, vol. 27(3), pages 247-267, November.
    16. Läpple, Doris & Renwick, Alan & Thorne, Fiona, 2015. "Measuring and understanding the drivers of agricultural innovation: Evidence from Ireland," Food Policy, Elsevier, vol. 51(C), pages 1-8.
    17. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    18. Brian Roe & Elena G. Irwin & Jeff S. Sharp, 2002. "Pigs in Space: Modeling the Spatial Structure of Hog Production in Traditional and Nontraditional Production Regions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 259-278.
    19. Eva Schmidtner & Christian Lippert & Barbara Engler & Anna Maria Häring & Jaochim Aurbacher & Stephan Dabbert, 2012. "Spatial distribution of organic farming in Germany: does neighbourhood matter?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 39(4), pages 661-683, September.
    20. Schmidtner, Eva & Lippert, Christian & Dabbert, Stephan, 2015. "Does Spatial Dependence Depend on Spatial Resolution? – An Empirical Analysis of Organic Farming in Southern Germany," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(03), September.
    21. Langyintuo, Augustine S. & Mekuria, Mulugetta, 2008. "Assessing the influence of neighborhood effects on the adoption of improved agricultural technologies in developing agriculture," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 2(2), pages 1-19, August.
    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. Mannaf, Maksuda & Wheeler, Sarah Ann & Zuo, Alec, 2023. "Global and Local Spatial Spill-Overs: What Matters Most for the Diffusion of Organic Agriculture in Australia?," Ecological Economics, Elsevier, vol. 209(C).
    2. Storm, Hugo & Heckelei, Thomas, 2015. "Local and regional spatial interactions in the analysis of Norwegian farm growth," 150th Seminar, October 22-23, 2015, Edinburgh, Scotland 212648, European Association of Agricultural Economists.
    3. Storm, Hugo & Heckelei, Thomas, 2016. "Using Multiple Neighboring Interaction Effects In Spatial Regression Specifications To Reduce Omitted Variable Bias," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244763, German Association of Agricultural Economists (GEWISOLA).
    4. Storm, Hugo & Heckelei, Thomas, 2016. "Local and regional spatial interactions of Norwegian farm growth," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235576, Agricultural and Applied Economics Association.
    5. Doris Läpple & Garth Holloway & Donald J Lacombe & Cathal O’Donoghue, 2017. "Sustainable technology adoption: a spatial analysis of the Irish Dairy Sector," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(5), pages 810-835.
    6. Vroege, Willemijn & Meraner, Manuela & Polman, Nico & Storm, Hugo & Heijman, Wim & Finger, Robert, 2020. "Beyond the single farm – A spatial econometric analysis of spill-overs in farm diversification in the Netherlands," Land Use Policy, Elsevier, vol. 99(C).
    7. Bonfiglio, Andrea & Arzeni, Andrea, 2019. "Spatial distribution of organic farms and territorial context: An application to an Italian rural region," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 8(3), December.
    8. David Maddison, 2009. "A Spatio‐temporal Model of Farmland Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 171-189, February.
    9. Fertő, Imre & Csonka, Arnold, 2017. "Válság- és agglomerációs hatások a magyarországi sertéstartásban [Crisis and agglomeration in Hungary s pig production]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 105-122.
    10. Yanbing Wang & Niklas Möhring & Robert Finger, 2023. "When my neighbors matter: Spillover effects in the adoption of large‐scale pesticide‐free wheat production," Agricultural Economics, International Association of Agricultural Economists, vol. 54(2), pages 256-273, March.
    11. Roberta Capello & Camilla Lenzi, 2016. "Innovation modes and entrepreneurial behavioral characteristics in regional growth," Small Business Economics, Springer, vol. 47(4), pages 875-893, December.
    12. Skevas, Ioannis & Skevas, Theodoros, 2021. "A generalized true random-effects model with spatially autocorrelated persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1131-1142.
    13. Thanos, Sotirios & Dubé, Jean & Legros, Diègo, 2016. "Putting time into space: the temporal coherence of spatial applications in the housing market," Regional Science and Urban Economics, Elsevier, vol. 58(C), pages 78-88.
    14. Carmelo Algeri & Luc Anselin & Antonio Fabio Forgione & Carlo Migliardo, 2022. "Spatial dependence in the technical efficiency of local banks," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 685-716, June.
    15. Paliska, Dejan & Drobne, Samo, 2020. "Impact of new motorway on housing prices in rural North-East Slovenia," Journal of Transport Geography, Elsevier, vol. 88(C).
    16. Cheng, Mei-luan & Gomez, Miguel I. & Bills, Nelson L., 2011. "Urban Agglomeration Economies in the U.S. Greenhouse and Nursery Production," Working Papers 126611, Cornell University, Department of Applied Economics and Management.
    17. Luis Orea & Inmaculada C. Álvarez, 2020. "How effective has been the Spanish lockdown to battle COVID-19? A spatial analysis of the coronavirus propagation across provinces," Working Papers 2020-03, FEDEA.
    18. Anping Chen & Marlon Boarnet & Mark Partridge & Wenjie Wu & Guanpeng Dong, 2014. "Valuing The “Green” Amenities In A Spatial Context," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 569-585, September.
    19. François J Dessart & Jesús Barreiro-Hurlé & René van Bavel, 2019. "Behavioural factors affecting the adoption of sustainable farming practices: a policy-oriented review," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(3), pages 417-471.
    20. Matthew Gnagey & Therese Grijalva, 2018. "The impact of trails on property values: a spatial analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 73-97, January.

    More about this item

    Keywords

    Agricultural and Food Policy; Land Economics/Use;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:gewi16:244886. 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.