本文研究目的有兩方面。首先，我們探討農家的人力資源如何決定他們從事農場外工作的意願。不同於以往研究，我們著重於重要地理環境特質和農業政策之施行和農家從事農場外工作的關連。另外，由於從事農場外工作可能會有聚集性。亦即，一個農家的決策很可能會受到其鄰近農家決策影響，因此我們特別檢定此現象是否存在於臺灣資料中。此一現象，地理學家門稱為空間相依性 (spatial dependency)。就我所知，目前這個議題尚未出現在探討農家農場外工作的國內外相關文獻中。
Abstract: According to the summary statistics of historical data reported by the United States Department of Agriculture, the rate of U.S farm households that work off the farm is approximately 60% on average. Income from off-farm activity has been shown to be the primary source of total farm household income. Similar evidence has also been found in Taiwan. Based on the statistics summarized from the Agricultural Census data in year 2001, approximately 85% of the farm households have reported wage or income from the off-farm job. Therefore, the primary emphasis of this study is to have a better understanding of the off-farm work in Taiwan.
The objective of this study is two-fold. First, we try to assess the role of human capital on the off-farm labor decision of farm households in Taiwan. In constrast to the previous studies, the special attention will be paid to examine the role of environmental characteristics and other government programs in Taiwan of farm households’ off-farm labor supply decision. Since the decision to work off the farm of the farm household may be affected by his neighbor’s decision, our second objective is to investigate whether the off-farm work decision in Taiwan exists the spatial depedent pattern. That is, we test how the off-farm work decision of each farm household is related to the decision of others. To the best of my understanding, this issue has not been studied elsewhere in the previous studies of farm households’ off-farm work decision.
Our study also contributes to the linkage between geographic/engineering science and economics. To test the spatial depedency of off-farm work, the Geographic Information System (GIS) technique is utilized to identify the physical/locational charactristics. The application of GIS method to the field of economics helps to provide a objective measure of locational speciality. Therefore, our study provides an illustration that combines the knowledge between the field of geographic/engineering science and agricultural economics.
off-farm labor supply
Geographic Information System.