| 摘要: | 本研究為探討在遷移行為與遷移距離上，是否具有遷移群體屬性、地區工資、遷移動機差異之目的。故採用2002、2007、2012年共三年度《國內遷徙調查》之個體資料進行遷移行為研究，分別以univariate logistic迴歸模型將遷移者群體屬性對遷移行為進行估計；以及multivariate logistic迴歸模型將遷移者群體屬性、地區工資差異、遷移動機對遷移距離選擇進行估計。
隨社會的現代化發展，地區間的差異日漸減少，相互間的交通往來也越趨便利，過往皆指出在此社會現代化發展下，遷移行為會開始趨於無差異化。然而經本研究實證發現，在過往認為具有女性、未婚、高學歷、年紀較輕等屬性特質者，其發生遷移機率較高，但資料顯示至2012年時已婚者遷移發生機率比上較高。而在跨區域遷移上，過往研究指出具有男性、未婚、高學歷、年紀較輕等屬性特質者，其發生長距離遷移機率較高，但資料顯示至2012年時年紀較長者在跨區遷移上發生機率較高。在遷移距離相對較短的同縣市、同區域遷移上，的確有逐年趨於無差異化趨勢，但在跨區域遷移上，實證顯示縣市工資差異、學歷程度以及遷移動機上，對遷移者吸引力確有逐漸增強之趨勢。
This study takes the individual information of 2002, 2007 and 2012 Internal Migration Survey to research the behavior of migration. First, the research estimates the attribute of migration behavior to the decision of migration by binary logistic regression analysis individually. And then, it estimates the attribute of migration, the difference of regional wage, and the motivation of migration to the decision of migration distance by multiple logistic regression analysis.
Along with the modern development of society, the difference of region to region decreases gradually and the traffic becomes more convenient. In the past, when people live in this modern development society, the behavior of migration starts to become no differently.From the proof of research, it believed that people had these kinds of characteristics, for example, they were female, unmarried, well-educated or young, and they migrated more highly in the past. But the information indicated people who were married had higher probability of migration in 2012.In the cross-regional migration, it demonstrated that people had these kinds of attributes, for instance, humans who were male, unmarried, well-educated or young, and their probability of long-distanced migration happened more often. In contrast, the data showed human beings who were elder had higher probability of migration in 2012.
On the other hand, the papers indicated the distance of migration that is relatively shorter in the same migration countries and regions and it had no attribute year by year in deed. But the proof showed the discrepancy of wages, the degree of educational level, and the motivation of migration in different cities. The result showed these elements to migrant’s attraction increased gradually. |
