Abstract
AbstractThe relative importance of key state-level outcomes upon U.S. national corn and soybean production was examined using correlated component regression, a recently developed regression technique for application to multicollinear and sparse data sets. Standardized coefficients were used to rank the states’ relative importance. A Herfindahl-Hirschman Index was used to measure the degree of concentration among the top ranked states. The empirical analysis looked at two time periods: a pre-Genetic Modification (1975–1995) and a post-Genetic Modification (1996–2017) period. The results indicate that U.S. corn production is becoming less geographically concentrated in terms of state-level importance while the opposite holds true for soybean production.
Highlights
During the growing season for major U.S crops, most of the crop production information is provided at the state level
The organization of this section will first present the coefficient regression (CCR) results for corn followed by soybeans
Little to no attention has been paid to the impact of these factors upon the relative importance of each individual state’s crop production outcome as it relates to the national outcome
Summary
During the growing season for major U.S crops, most of the crop production information is provided at the state level. This holds true even through the harvest period. The widely followed USDA Crop Progress reports provide information on crop progress (planting, development, and harvest percentages) and condition (categorical rating percentages) for the major production states for each major U.S crop. These are reported on a weekly basis during the growing season. Projected planted and harvested areas are reported on a state level for the major states at multiple times during the growing season
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