Information generated by precision farming technologies is of particular importance to producers. Precision farming technologies implies the ability to improve the management of production factors using site-specific information. This study examines factors influencing cotton farmers’...

The authors regret that the above paper contained an error in the calculation of the survey expansion weights (Lambert et al., 2014, p. 110). Using the notation of the paper, the expansion factor for the lth stratum was introduced as wl =agbh=ngh, where g indexes states and h indexes farm size...

Suppression of employment records in the US County Business Patterns (CBP) data sets constrains the detail of new methods and recent advances in the analysis of the geographic distribution of firms and employment. Data sets created by imputation procedures can be purchased, but cost often puts...

Recent developments in firm location analysis are applied to explore the concentration patterns of firms making up the green energy sectors in 2002 and 2006. A two-step procedure is applied in this analysis. First, Guimarães, Figueiredo, and Woodward’s spatial adaption of Ellison and...

Attracting manufacturing investment is a frequently used rural development policy. Previous research in the location literature has informed policymakers which factors are most important for attracting new firm investment. Far less is known about the interaction of birth and death of...

Site-specific application of manure has the potential to improve crop production and environmental quality. If manure is applied where it is needed, in the quantity required by the crop, over application, with attendant runoff and leaching problems can be reduced. To implement this approach...

This study deals with the issue of extreme coefficients in geographically weighted regression (GWR) and their effects on mapping coefficients using three datasets with different spatial resolutions. We found that although GWR yields extreme coefficients regardless of the resolution of the...

This paper compares two estimation methods of a three-stage least squares (3SLS) system of equations, corrected for spatial autocorrelation. The modeling approach is novel in that it is an extension of Anselin's (1988) seemingly unrelated regression (SUR) space-time spatial error model for panel...