Factors Influencing Illinois Farmland Values

Factors Influencing Illinois Farmland Values
Author: Haixiao Huang
Publisher:
Total Pages: 0
Release: 2020
Genre:
ISBN:

A hedonic model of Illinois farmland values is estimated using county-level cross-section time-series data. Explanatory variables include land productivity, parcel size, improvements, distances to Chicago and other large cities, an urban-rural index, livestock production through swine operation scale and farm density measures, population density, income, and inflation. The inclusion of spatial and serial correlation components substantially improves the model fit. Farmland values decline with parcel size, ruralness, distance to Chicago and large cities, and swine farm density, and increase with soil productivity, population density, and personal income.

Increased Usage of Cash Rent

Increased Usage of Cash Rent
Author: Jacob Styan
Publisher:
Total Pages: 60
Release: 2020
Genre:
ISBN:

In recent years, cash rent leases have become increasingly popular amongst farm landowners in Illinois. Since 1995, Illinois has seen a 44% rise in cash rent lease usage in Northern Illinois, a 105% increase in Southern Illinois, and a 117% increase in Central Illinois for acres enrolled in the Illinois Farm Business Farm Management Association, which helps operators make farm management decisions. The rise in cash rent lease usage has been attributed to many factors such as crop yields, commodity prices, crop revenue, commodity payments, and crop insurance. This study aims to determine which factors are the most pivotal in driving the shift toward the use of cash rent leases in Illinois. Using data from the USDA National Agricultural Statistics Service (USDA-NASS), the Environmental Working Group (EWG), and University of Illinois farmdoc, the determinants mentioned above were examined to explore the effects they have on the increasing use of cash rent leases. Data from each variable was collected from all 102 counties in Illinois over a 21-year period and then moved into the correct region. Comparisons were made across the three regions in Illinois (Northern, Central, and Southern) from 1995-2015 using four different fixed effects regression models. Results indicate that crop insurance payments (p