東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ null ]

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Educational Factors Predicting Middle-Income Trap and International Competitiveness Index in Southeast Asia.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Educational Factors Predicting Middle-Income Trap and International Competitiveness Index in Southeast Asia./
作者:	Hara, Masatoshi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	214 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-12, Section: A.
Contained By:	Dissertations Abstracts International82-12A.
標題:	Public policy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28498062
ISBN:	9798505540503

Educational Factors Predicting Middle-Income Trap and International Competitiveness Index in Southeast Asia.
Hara, Masatoshi.

Educational Factors Predicting Middle-Income Trap and International Competitiveness Index in Southeast Asia. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 214 p.

Source: Dissertations Abstracts International, Volume: 82-12, Section: A.

Thesis (Ph.D.)--Walden University, 2021.

This item must not be sold to any third party vendors.

The middle-income trap (MIT) refers to the state that middle-income economies have found it challenging to upgrade to reach the high-income stage over an extended period. Overcoming the MIT has long been discussed as an important social issue, notably in Southeast Asia. One major problem in addressing the MIT is directly linked to fewer job opportunities and an unstable income. Promoting industrialization has been the most efficient way to solve the problem. However, little previous research has been conducted on the influence of the enrollment rate in secondary education on the MIT and the international competitive index (ICI) in connection with the barrier issue of industrialization. Tran's economic development stage model and the industrial development model were used to examine the predictive relationships between the economic development stage and education levels. Using secondary data compiled between 1999 and 2018 primarily from the World Development Indicators and the UN Comtrade Database, and multiple linear regression modeling, the strength of secondary education predicting the percentage change in R2 variance in the MIT and ICI was evaluated in nine Asian economies. Using log transformed data, secondary education alone was not found to be a superior predictor (F [1, 168] = .124, p = .725) for the MIT and (F [1, 175] = .147, p = .702) for the ICI respectively. Tertiary education was found to be a significant predictor in both models (F [1, 168] = 43.09, p = .000) and (F [1, 175] = 7.12, p = .008) respectively and is thus a major factor in escaping the MIT and upgrading the ICI. Positive social change emanates through continued policy support of advancing education as a means to escape the MIT and to promote advancements of the ICI.

ISBN: 9798505540503Subjects--Topical Terms:

532803
Public policy.
Subjects--Index Terms:

Industrialization

Educational Factors Predicting Middle-Income Trap and International Competitiveness Index in Southeast Asia.
LDR:03035nmm a2200385 4500 001 2342836
005 20220415153019.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798505540503
035 $a (MiAaPQ)AAI28498062
035 $a AAI28498062
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hara, Masatoshi. $3 623566
245 1 0 $a Educational Factors Predicting Middle-Income Trap and International Competitiveness Index in Southeast Asia.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 214 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-12, Section: A.
500 $a Advisor: Wilson, Lynn A.
502 $a Thesis (Ph.D.)--Walden University, 2021.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be sold to any third party vendors.
520 $a The middle-income trap (MIT) refers to the state that middle-income economies have found it challenging to upgrade to reach the high-income stage over an extended period. Overcoming the MIT has long been discussed as an important social issue, notably in Southeast Asia. One major problem in addressing the MIT is directly linked to fewer job opportunities and an unstable income. Promoting industrialization has been the most efficient way to solve the problem. However, little previous research has been conducted on the influence of the enrollment rate in secondary education on the MIT and the international competitive index (ICI) in connection with the barrier issue of industrialization. Tran's economic development stage model and the industrial development model were used to examine the predictive relationships between the economic development stage and education levels. Using secondary data compiled between 1999 and 2018 primarily from the World Development Indicators and the UN Comtrade Database, and multiple linear regression modeling, the strength of secondary education predicting the percentage change in R2 variance in the MIT and ICI was evaluated in nine Asian economies. Using log transformed data, secondary education alone was not found to be a superior predictor (F [1, 168] = .124, p = .725) for the MIT and (F [1, 175] = .147, p = .702) for the ICI respectively. Tertiary education was found to be a significant predictor in both models (F [1, 168] = 43.09, p = .000) and (F [1, 175] = 7.12, p = .008) respectively and is thus a major factor in escaping the MIT and upgrading the ICI. Positive social change emanates through continued policy support of advancing education as a means to escape the MIT and to promote advancements of the ICI.
590 $a School code: 0543.
650 4 $a Public policy. $3 532803
650 4 $a Social sciences education. $3 2144735
650 4 $a Secondary education. $3 2122779
653 $a Industrialization
653 $a International Competitive Index
653 $a Middle-income trap
653 $a Southeast Asia
690 $a 0630
690 $a 0501
690 $a 0534
690 $a 0533
710 2 $a Walden University. $b Public Policy and Administration. $3 1026795
773 0 $t Dissertations Abstracts International $g 82-12A.
790 $a 0543
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28498062