Abstract
In this study two sets of hypotheses—a general set and a specific set—are advanced for testing. Whereas principal-axes factor analysis is applied to identify the major underlying dimensions that are postulated to be associated with padi farm fragmentation for 207 farms, stepwise multiple-regression analysis is employed to determine which among the twenty-six hypothesized variables have the strongest influence in predicting the extent of padi farm fragmentation in the Muda Irrigation Scheme Area of Kedah in northwest Malaysia. The impact which the extent of farm fragmentation has on padi productivity, irrigation, mechanization, and the neglect of parcels located at a distance from the farm house for the three size categories of farms—one-parcel, two-parcel, and three-or-more-parcel farms—is evaluated by the use of the chi-square test.
Get full access to this article
View all access options for this article.