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

By Luc Anselin, R. Bongiovanni, J. Lowenberg‐DeBoer. 2004

203 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/7781fa3446eafdc411cd7cc7e9ed0d297b535e6e

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Citations in the corpus

Testing for Spatial Autocorrelation in a Fixed Effects Panel Data Model (2010, background): “…and Ligon, 2002; Ertur and Koch, 2007), international economics (Baltagi et al., 2007b, 2008), labor economics (Conley and Toppa, 2002), public economics (Brueckner, 1998, 2003) agricultural and environmental economics (Anselin et al. 2004; Bell and Bockstael, 2000; Murdoch et al., 1997) etc.”
Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science (2017, background): “Only recently has the availability of remotely sensed measures of agricultural land and water use led to the use of spatial econometrics methods to address spatially varying farm production (Anselin et al., 2004; Staal S. et al., 2002).”
Use of Lorenz curves and Gini coefficients to assess yield inequality within paddocks (2004, methodology): “On the other hand, spatial econometrics –created by economists to model spatial dependence in social sciences, has recently been adapted by Bongiovanni (2002) to study the economics of site-specific management in yield crops.”
The Data‐Intensive Farm Management Project: Changing Agronomic Research Through On‐Farm Precision Experimentation (2019, background): “One is the spatial econometrics approach defined by Anselin et al. (2004).”
Economic Analysis of Spatial-Temporal Patterns in Corn and Soybean Response to Nitrogen and Phosphorus (2006, background): “…site-specific crop response functions used single, quadratic equations to estimate plant response to inputs over space (e.g., Bruulsema et al., 1996; Malzer et al., 1996; Bongiovanni, 2002; Swinton et al., 2002; Hurley et al., 2003; Mamo et al., 2003; Anselin et al., 2004; Lambert et al., 2004).”
Evaluating Management Zone Optimal Nitrogen Rates with a Crop Growth Model (2006, background): “The first approach involves determining the rate of fertilizers by applying current N recommendations based on soil fertility, moisture, and crop yield potential at the MZ scale (Hornung et al., 2003; Koch et al., 2004; Inman et al., 2005); however, it has been pointed out that current N recommendat”
Site-specific production functions for variable rate corn nitrogen fertilization (2006, background): “The EONR for corn has also been shown to be very different between fields and highly variable within fields (Mamo et al. 2003; Anselin et al. 2004; Scharf et al. 2005).”
In-Field Movement of Glyphosate-Resistant Palmer Amaranth (Amaranthus palmeri) and Its Impact on Cotton Lint Yield: Evidence Supporting a Zero-Threshold Strategy (2014, methodology): “Although spatial regression techniques have been implemented in other areas of research (Anselin 2001; Goodchild et al. 2000), the application of spatial models in agriculture has been less extensive, with fewer models for addressing large-scale yield monitor datasets (Anselin et al. 2004).”