Detecting the Issues of Population Aging by Using ARIMA Model
學年 107
學期 1
出版（發表）日期 2019-01-01
作品名稱 Detecting the Issues of Population Aging by Using ARIMA Model
作品名稱（其他語言）
著者 Dian-Fu Chang; Yi Hsing Lin; Fong-Yee Nyeu
單位
出版者
著錄名稱、卷期、頁數 ICIC Express Letters Part B: Applications 10(1), p. 39-46
摘要 Population aging is poised to become one of the most significant social transformations of the twenty-first century. Perceived the rapidly increasing population aging, this study selected Taiwan as a target to tackle the issue. Previous studies have warned the drawbacks of composite indicators dealing with aging issues, therefore this study tries to find an alternative way to fit series data in an aging society. To achieve the specific purposes, the study aims to create appropriate indices to further interpret the issues of population aging. The time series analysis was carried out in this study by using the Minitab® statistical package. The result of the ARIMA model reveals the increasing of over 65 year-old adults in Taiwan will up to a new high in next decade. While the potential support ratio will decline speedily. Realized the gap, the suggestions provide for the policy makers to deal with the issues more effectively.
關鍵字 Aging index;ARIMA;Population aging;Potential support ratio;Time series analysis
語言 en_US
ISSN 2185-2766
期刊性質 國外
收錄於
產學合作
通訊作者 Dian-Fu Chang
審稿制度 否
國別 JPN
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/115603 )