TY - JOUR
T1 - A spatial econometric approach to the economics of site-specific nitrogen management in corn production
AU - Anselin, Luc
AU - Bongiovanni, Rodolfo
AU - Lowenberg-DeBoer, Jess
N1 - Funding Information:
The authors would like to thank the team of the Precision Agriculture Project of INTA, for conducting the field trials in Argentina. Authors also appreciate the Site-Specific Technology Development Group (SST) for providing the GIS software SSToolboxTM for this analysis, as well as the necessary technical support. The research was made possible in part by an assistantship funded by the National Institute for Agricultural Technology (INTA) of Argentina. Anselin’s research was supported in part by Grant BCS-9978058 from the National Science Foundation to the Center for Spatially Integrated Social Science (CSISS).
PY - 2004/8
Y1 - 2004/8
N2 - The objective of this study is to determine the potential for using spatial econometric analysis of combine yield monitor data to estimate the site-specific crop response functions. The specific case study is for site-specific nitrogen (N) application to corn production in Argentina. Spatial structure of the yield data is modeled with landscape variables, spatially autoregressive error and groupwise heteroskedasticity. Results suggest that N response differs by landscape position, and that site-specific application may be modestly profitable. Profitability depends on the model specification used, with all spatial models consistently indicating profitability, whereas the nonspatial models do not.
AB - The objective of this study is to determine the potential for using spatial econometric analysis of combine yield monitor data to estimate the site-specific crop response functions. The specific case study is for site-specific nitrogen (N) application to corn production in Argentina. Spatial structure of the yield data is modeled with landscape variables, spatially autoregressive error and groupwise heteroskedasticity. Results suggest that N response differs by landscape position, and that site-specific application may be modestly profitable. Profitability depends on the model specification used, with all spatial models consistently indicating profitability, whereas the nonspatial models do not.
KW - Argentina
KW - Corn
KW - Precision agriculture
KW - Site-specific nitrogen management
KW - Spatial autocorrelation
KW - Spatial econometrics
KW - Variable rate
UR - http://www.scopus.com/inward/record.url?scp=3242658893&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=3242658893&partnerID=8YFLogxK
U2 - 10.1111/j.0002-9092.2004.00610.x
DO - 10.1111/j.0002-9092.2004.00610.x
M3 - Article
AN - SCOPUS:3242658893
SN - 0002-9092
VL - 86
SP - 675
EP - 687
JO - American Journal of Agricultural Economics
JF - American Journal of Agricultural Economics
IS - 3
ER -