Agricultural Policy as a Social Engineering Tool

Abstract:

This study uses logistic regression to estimate survey data on social engineering policies
in the agricultural sector. The study finds that farm operators are unlikely to support a
policy allowing countries to restrict trade to pursue domestic economic and social policy
goals if the policies affect international trade. In particular the findings suggest that farm
operators with annual gross sales including government payments between $500,000 and
$999,999 are 80 percent less likely to indicate such a preference. Farm operators with
advanced degrees, some college education and a high school diploma are also unlikely to
indicate such a preference. In contrast farm operators who receive no income from
farming or ranching and farm operators who receive a percentage of their family income
from farming or ranching indicate that countries should be allowed to restrict trade to
pursue domestic economic and social policy goals even if the policies affect international
trade.

<<   1   2   3   4   5   >>

More intriguing information