IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Are There Spatial Spillovers in the Adoption of Clean Technology? The Case of Organic Dairy Farming

  • David J. Lewis
  • Bradford L. Barham
  • Brian Robinson

This paper examines spatial spillovers associated with the adoption of organic dairy farming. We hypothesize that neighboring farmers can help to reduce the uncertainty of organic conversion by lowering the fixed costs of learning about the organic system. A spatially explicit 10-year panel dataset of more than 1,900 dairy farms in southwestern Wisconsin is used as input into a reduced-form econometric model of the decision to convert to organic production. Using an identification strategy that exploits the panel aspect of the micro dataset, we find evidence that the presence of neighboring organic dairy farms affects the conversion decision.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: A subscription is required to access pdf files. Pay per article is available.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by University of Wisconsin Press in its journal Land Economics.

Volume (Year): 87 (2011)
Issue (Month): 2 ()
Pages: 250-267

in new window

Handle: RePEc:uwp:landec:v:87:y:2011:ii:1:p:250-267
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Newburn, David A. & Berck, Peter, 2006. "Modeling suburban and rural residential development beyond the urban fringe," CUDARE Working Paper Series 1008R, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy, revised May 2006.
  2. Lewis, David J. & Provencher, Bill & Butsic, Van, 2008. "The Dynamic Effects of Open-Space Conservation Policies on Residential Development Density," Staff Paper Series 522, University of Wisconsin, Agricultural and Applied Economics.
  3. Smith, James L. & Thompson, Rex, 2009. "Rational plunging and the option value of sequential investment: The case of petroleum exploration," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1009-1033, August.
  4. Janis M. Carey & David Zilberman, 2002. "A Model of Investment under Uncertainty: Modern Irrigation Technology and Emerging Markets in Water," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 171-183.
  5. Parker, Dawn C. & Munroe, Darla K., 2007. "The geography of market failure: Edge-effect externalities and the location and production patterns of organic farming," Ecological Economics, Elsevier, vol. 60(4), pages 821-833, February.
  6. Nancy Bockstael, 2008. "An Empirical Examination of the Timing of Land Conversions in the Presence of Farmland Preservation Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(3), pages 613-626.
  7. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, November.
  8. Mark Rosenzweig & Andrew D. Foster, . "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Home Pages _068, University of Pennsylvania.
  9. Amy Purvis & William G. Boggess & Charles B. Moss & John Holt, 1995. "Technology Adoption Decisions under Irreversibility and Uncertainty: An Ex Ante Appproach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 541-551.
  10. Just, Richard E & Zilberman, David, 1983. "Stochastic Structure, Farm Size and Technology Adoption in Developing Agriculture," Oxford Economic Papers, Oxford University Press, vol. 35(2), pages 307-28, July.
  11. Manski, C.F., 1991. "Identification of Endogenous Social Effects: the Reflection Problem," Working papers 9127, Wisconsin Madison - Social Systems.
  12. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474, 01-2013.
  13. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:uwp:landec:v:87:y:2011:ii:1:p:250-267. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.