英文摘要 |
The increasing attention has been paid on informal industrial plants on farmlands. According to the tax statements, the significant increment of informal industrial plants (60 thousand to 130 thousand) from 2001. Although the incredible increasing amount on informal industrial plants, such informal phenomena has originated in 1960. During that time, the establishment of industrial plants on farm land could actual save both production cost and human source cost. In addition, the ''factory in living room'' made the informal industrial plants common on farmland. And further resulted in the increasing informal industrial plants and the lost control on farmlands. Till now, the conflicts on informal industrial plants keeps going. According to the farmland resources investigation conducted by Executive Yuan Agricultural Committee, there are 1,350 thousand farmlands (around 170 thousand hectare) have been illegal used by the industrial uses. The serious impacts of informal industrial plants include the pollution on surrounding farmlands, food insecurity, and human health issues etc. The Factory Management Act attempts to legalize the informal industrial plants on-site while the Spatial Planning Act attempts to legalize informal industrial plants based upon the spatial plan on-site or off-site. Therefore, this study applies spatial autocorrelation in ArcGIS to analyze the clustered/dispersed pattern of informal industrial plants. Afterwards, ordinary least square is then applied to analyzing the factors affect such clustered pattern. It is found that the informal industrial plants have the characteristics of spatial aggregation. This phenomenon indicates that the establishment of the informal industrial plants is affected by the neighboring areas. As a whole, this study attempts to explore on-site or off-site legalization of informal industrial plants based upon suitability analysis. It is hoped that when the government formulates policies related to illegal factories in the future, it will give the government a reference for policy formulation. |