| Summary: | Agriculture, as one of the most important sectors of the economy of many countries, has to deal with gender inequality, which is part of it, among other problems. For centuries, women have been excluded from this area, but nowadays, they have the opportunity to participate in agricultural activities to the same extent as men and achieve an adequate income. The success of women in US agriculture in the form of their income can be explained through the six indicators: age, family involvement, farm area, farming period, female operators, and partnership by applying the regression analysis. The coefficient of determination shows that the Heartland Region regression model has the highest statistical significance, explaining 51.03 % of the investigated data variability. The second position is kept very closely by the Upper Midwest Region with a value of 50.06 %; the next ones are the Delta Region with a value of 46.37 %, the Great Lakes Region with 44.44 %, and the Northwest Region with 43.24 %. All the regression models assigned to these regions are suitable for explaining. Surprisingly, there are cases where a mutual ratio of the regression coefficients of the same indicator for the two specific regions is twice as high or lower. It reveals there are deliberate regional disparities.
|
|---|