Volume 86, Issue 3
Article

A Spatial Econometric Approach to the Economics of Site‐Specific Nitrogen Management in Corn Production

Luc Anselin

Professor, Department of Agricultural and Consumer Economics, and director

Spatial Analysis Laboratory (SAL), University of Illinois, Urbana‐Champaign

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Rodolfo Bongiovanni

Researcher

Precision Agriculture Project, National Institute for Agricultural Technology (INTA)

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Jess Lowenberg‐DeBoer

Professor, Department of Agricultural Economics, and director

Site‐Specific Management Center, Purdue University

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First published: 01 August 2004
Citations: 69

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 SSToolbox™ 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).

Abstract

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.

Number of times cited according to CrossRef: 69

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