IDEAS home Printed from https://ideas.repec.org/p/ags/saea13/142961.html
   My bibliography  Save this paper

The Impact of Integrated Pest Management Practices on U.S. National Nursery Industry Annul Sales Revenue: An Application of Smooth Transition Spatial Autoregressive Models

Author

Listed:
  • Xu, Wan
  • Khachatryan, Hayk

Abstract

The relationship between U.S. nursery industry sales and seven major Integrated Pest Management (IPM) practices was investigated using smooth transition spatial autoregressive models. Controlling for selected production, management, and marketing practices, the results showed that the differential effects of IPM practices on annual sales vary across geography, which has useful implications for industry practitioners.

Suggested Citation

  • Xu, Wan & Khachatryan, Hayk, 2013. "The Impact of Integrated Pest Management Practices on U.S. National Nursery Industry Annul Sales Revenue: An Application of Smooth Transition Spatial Autoregressive Models," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142961, Southern Agricultural Economics Association.
  • Handle: RePEc:ags:saea13:142961
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/142961
    Download Restriction: no

    References listed on IDEAS

    as
    1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Fernandez-Cornejo, Jorge & Ferraioli, Jennifer, 1999. "The Environmental Effects of Adopting IPM Techniques: The Case of Peach Producers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(03), pages 551-564, December.
    3. Pede, Valerien O. & Florax, Raymond J.G.M. & Lambert, Dayton M., 2014. "Spatial econometric STAR models: Lagrange multiplier tests, Monte Carlo simulations and an empirical application," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 118-128.
    4. Göran Therborn & K.C. Ho, 2009. "Introduction," City, Taylor & Francis Journals, vol. 13(1), pages 53-62, March.
    5. Paxton, Kenneth W. & Mishra, Ashok K. & Chintawar, Sachin & Roberts, Roland K. & Larson, James A. & English, Burton C. & Lambert, Dayton M. & Marra, Michele C. & Larkin, Sherry L. & Reeves, Jeanne M. , 2011. "Intensity of Precision Agriculture Technology Adoption by Cotton Producers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(01), pages 133-144, April.
    6. Roberto Basile, 2008. "Regional economic growth in Europe: A semiparametric spatial dependence approach," Papers in Regional Science, Wiley Blackwell, vol. 87(4), pages 527-544, November.
    7. Jeffrey H. Dorfman & Mark D. Partridge & Hamilton Galloway, 2011. "Do Natural Amenities Attract High-tech Jobs? Evidence From a Smoothed Bayesian Spatial Model," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(4), pages 397-422, April.
    8. Pandit, Mahesh & Paudel, Krishna P. & Hinson, Roger A., 2012. "Intensity of Integrated Pest Management (IPM) Practices Adoption by U.S. Nursery Crop Producers," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124942, Agricultural and Applied Economics Association.
    9. Davis, David E. & Schluter, Gerald E., 2005. "Labor-Force Heterogeneity as a Source of Agglomeration Economies in an Empirical Analysis of County-Level Determinants of Food Plant Entry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 30(03), December.
    10. Mishra, Ashok K. & Park, Timothy A., 2005. "An Empirical Analysis of Internet Use by U.S. Farmers," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 34(2), October.
    11. Roberto BASILE & Bernard GRESS, 2005. "Semi-Parametric Spatial Auto-Covariance Models Of Regional Growth In Europe," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 21, pages 93-118.
    12. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
    13. J. Barkley Rosser, 2009. "Introduction," Chapters,in: Handbook of Research on Complexity, chapter 1 Edward Elgar Publishing.
    14. Fernandez-Cornejo, Jorge & Ferraioli, Jennifer, 1999. "The Environmental Effects Of Adopting Ipm Techniques: The Case Of Peach Producers," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(03), December.
    15. Irani Arraiz & David M. Drukker & Harry H. Kelejian & Ingmar R. Prucha, 2010. "A Spatial Cliff-Ord-Type Model With Heteroskedastic Innovations: Small And Large Sample Results," Journal of Regional Science, Wiley Blackwell, vol. 50(2), pages 592-614.
    16. Moreno, Rosina & López-Bazo, Enrique & Vaya, Esther & Artís, Manuel, 2000. "External Effects And Cost Of Production," ERSA conference papers ersa00p193, European Regional Science Association.
    17. Cohen, Jeffrey P. & Paul, Catherine J. Morrison, 2005. "Agglomeration economies and industry location decisions: the impacts of spatial and industrial spillovers," Regional Science and Urban Economics, Elsevier, vol. 35(3), pages 215-237, May.
    18. Lung-fei Lee, 2003. "Best Spatial Two-Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 307-335.
    19. Matthew T. Holt & Lee A. Craig, 2006. "Nonlinear Dynamics and Structural Change in the U.S. Hog—Corn Cycle: A Time-Varying STAR Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 215-233.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    nursery industry; integrated pest management; spatial autoregressive model; Agribusiness; Q160;

    JEL classification:

    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:saea13:142961. 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: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/saeaaea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.