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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/48910


    Title: 工作風險對世代間行業選擇之影響-以製造業為例;The Impact of Job Risks on the Industry Choice across younger and older cohort:Empirical Evidence from Taiwan's Manufacturing Industry
    Authors: 王舒郁;Shu-yu Wang
    Contributors: 經濟學研究所
    Keywords: 條件式logit;補償性薪資差異;性別差異;世代差異;行業選擇;工作風險;cohort difference;conditional logit model;industry choice;job risk;compensating wage differentials;gender difference
    Date: 2011-06-23
    Issue Date: 2012-01-05 15:09:41 (UTC+8)
    Abstract: 在面臨工作風險時,不僅六、七年級世代具有不同的刻板印象,男、女性別也普遍被認為存在差異,然而,台灣的相關研究卻仍相對缺乏。本文利用補償性薪資差異與條件式logit模型(conditional logit model),透過民國88年至98年的主計處人力運用調查以及勞委會勞動檢查資料,探討工作風險對於世代與性別間行業選擇之影響,並更進一步分析從事高風險職業工作者之反應。 本文實證結果顯示:台灣六、七年級世代對於工作風險的偏好確實存在差異,而且從事高風險職業工作者的偏好亦有所不同,但整體而言,七年級世代對於行業風險特性的反應普遍高於六年級生,惟性別差異會隨世代的推進而有逐漸縮小的趨勢。再者,不佳的工作風險、工作條件與環境將大幅降低台灣勞工進入電子資訊業的機率。 This research employs Taiwan's Manpower Utilization Survey and Labor Inspections data from 1999 to 2009 to investigate the effect of job risk on industry choice. Following the literature review, compensating wage differentials and conditional logit model is adopted. We aim to understand the impact of job risk on industry choice across younger and older cohort. In addition, we decompose the cohort data by gender to analyze the differences between the males and the females. Moreover, we limit the sample to workers in occupations of relatively higher risk in order to discussing the occupation reaction. The main findings of this paper include the following: (1) the reaction of job risk is different between the younger and the older cohorts, although the result deviates if samples in risky occupations are employed; (2) in general, risk attributes have greater impacts on younger cohort, and the gender differences bridge by cohort; (3) disamenity industry attributes, such as higher job risk and violation in labor inspection, decrease the probabilities of entering the Electronic Information industry.
    Appears in Collections:[Graduate Institute of Economics] Electronic Thesis & Dissertation

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