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Hot Spots and Spatial Autocorrelation in Certified Organic Operations in the United States

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  • Marasteanu, I. Julia
  • Jaenicke, Edward C.

Abstract

This study identifies clusters of certified organic operations in the United States and determines the form of spatial autocorrelation present in the operations’ distribution. We identify large hot spots of organic operations along the West Coast and in the Midwest and Northeast with some variation based on how we define an organic operation. Further analyses suggest that organic operations do not necessarily follow the same geographic patterns as nonorganic agricultural and general business establishments. Spatial autoregressive models confirm the presence of significant spatial dependence in the distribution of certified organic operations for a number of different definitions of an organic operation.

Suggested Citation

  • Marasteanu, I. Julia & Jaenicke, Edward C., 2016. "Hot Spots and Spatial Autocorrelation in Certified Organic Operations in the United States," Agricultural and Resource Economics Review, Cambridge University Press, vol. 45(3), pages 485-521, December.
    • Handle: RePEc:cup:agrerw:v:45:y:2016:i:03:p:485-521_00
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    Cited by:

    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. 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.
    3. Delbridge, Timothy A. & Connolly, Cristina, 2017. "The Neighbor Effect: The Nature of Spatial Externalities in the Decision to Adopt Organic Production Systems," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258358, Agricultural and Applied Economics Association.
    4. Khalid Butti Al Shamsi & Antonio Compagnoni & Giuseppe Timpanaro & Salvatore Luciano Cosentino & Paolo Guarnaccia, 2018. "A Sustainable Organic Production Model for “Food Sovereignty” in the United Arab Emirates and Sicily-Italy," Sustainability, MDPI, vol. 10(3), pages 1-18, February.
    5. Skevas, Ioannis, 2020. "Inference in the spatial autoregressive efficiency model with an application to Dutch dairy farms," European Journal of Operational Research, Elsevier, vol. 283(1), pages 356-364.
    6. Chen-Fu Lu & Chia-Yi Cheng, 2019. "Impacts of Spatial Clusters on Certified Organic Farming in Taiwan," Sustainability, MDPI, vol. 11(9), pages 1-13, May.
    7. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.

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