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Does Spatial Dependence Depend on Spatial Resolution? – An Empirical Analysis of Organic Farming in Southern Germany

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  • Schmidtner, Eva
  • Lippert, Christian
  • Dabbert, Stephan

Abstract

Assuming that agglomeration effects do matter in organic farming we analyse (a) the difficulties due to data aggregation arising when trying to statistically verify neighbourhood effects and (b) whether results can be confirmed at different spatial resolutions. Explaining the spatial distribution of organic farming in southern Germany (2007) we compare results of spatial lag models at two measurement scales. The results suggest that essential factors determining the decision to convert from conventional to organic farming are found at different spatial resolutions. The results at the lower spatial resolution are not artificially generated through the aggregation process in this case, strengthening the relevance of previous studies. Unter der Annahme, dass Agglomerationseffekte im ökologischen Landbau von Bedeutung sind, untersuchen wir (a) die Schwierigkeiten, welche auf die Aggregation von Daten zurückzuführen sind und dann auftreten, wenn Nachbarschaftseffekte statistisch nachgewiesen werden sollen und (b) ob Ergebnisse auf verschiedenen räumlichen Ebenen bestätigt werden können. Wir erklären die räumliche Verteilung des ökologischen Landbaus in Süddeutschland (2007) und vergleichen die entsprechenden Ergebnisse erweiterter autoregressiver Modelle auf zwei räumlichen Ebe-nen. Die Ergebnisse deuten darauf hin, dass wesentliche Faktoren, die die Umstellungsentscheidung von der konventionellen auf die ökologische Wirtschaftsweise beeinflussen, auf verschiedenen räumlichen Ebenen nachgewiesen werden können. Die Ergebnisse für die geringere räumliche Auflösung werden in diesem Fall nicht künstlich durch den Aggregationsprozess erzeugt, was die Aussagekraft vorheriger Studien stärkt.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:gjagec:270179
    DOI: 10.22004/ag.econ.270179
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    References listed on IDEAS

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    2. Hunecke, C. & Meyer, S. & Brummer, B., 2018. "Technology Diffusion through Networks - Adoption of automatic milking systems in Germany," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277543, International Association of Agricultural Economists.
    3. 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).
    4. 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).
    5. 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.
    6. 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.

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