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Intrafirm Effects on Water Conservation in Agriculture

  • Moreno, Georgina
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    Conservation technology adoption behavior is frequently analyzed at the smallest unit of production to capture important heterogeneity among adopters. Conclusions about firm-level decisions are drawn from these microunit outcomes. However, there may be significant intrafirm interactions that create a dependence among the microunits. This paper tests and quantifies these effects. Using a unique dataset of agricultural water use in California, this paper finds significant differences in water price elasticities of conservation technology adoption between the standard model and models that accounts for the intrafirm interactions.

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    File URL: http://purl.umn.edu/19166
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    Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2005 Annual meeting, July 24-27, Providence, RI with number 19166.

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    Date of creation: 2005
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    Handle: RePEc:ags:aaea05:19166
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    1. Moreno, Georgina & Sunding, David L., 2003. "Simultaneous Estimation Of Technology Adoption And Land Allocation," 2003 Annual meeting, July 27-30, Montreal, Canada 22134, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. 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.
    3. Enrico Moretti, 2004. "Workers' Education, Spillovers, and Productivity: Evidence from Plant-Level Production Functions," American Economic Review, American Economic Association, vol. 94(3), pages 656-690, June.
    4. Case, Anne C, 1991. "Spatial Patterns in Household Demand," Econometrica, Econometric Society, vol. 59(4), pages 953-65, July.
    5. Caroline Hussler, 2004. "Culture and knowledge spillovers in Europe: New perspectives for innovation and convergence policies?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 13(6), pages 523-541.
    6. Heinz Hollenstein, 2002. "Determinants of the Adoption of Information and Communication Technologies (ICT)," WIFO Working Papers 183, WIFO.
    7. 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.
    8. Green, Gareth P. & Sunding, David L., 1997. "Land Allocation, Soil Quality, And The Demand For Irrigation Technology," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(02), December.
    9. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    10. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-38, May.
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