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碩士 === 國立中央大學 === 產業經濟研究所在職專班 === 105 === Income inequality is a widely concerned issue in most countries. Understanding the determinants of income inequality helps government propose effective policy measures to mitigate the degree of income inequality. This thesis utilizes a panel dataset of 61 co...

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Main Authors: WEN-CHEN HUANG, 黃雯楨
Other Authors: MENG-WEN TSOU
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/dg3e7t
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spelling ndltd-TW-105NCU053340252019-05-15T23:39:52Z http://ndltd.ncl.edu.tw/handle/dg3e7t NONE 所得不均的決定因素:跨國研究 WEN-CHEN HUANG 黃雯楨 碩士 國立中央大學 產業經濟研究所在職專班 105 Income inequality is a widely concerned issue in most countries. Understanding the determinants of income inequality helps government propose effective policy measures to mitigate the degree of income inequality. This thesis utilizes a panel dataset of 61 countries for the 2004-2012 period to investigate determinants of income inequality by focusing on openness, innovation and institutional factors. To obtain robust estimates, we adopt both 20/20 ratio and 10/10 ratio as indicators of income inequality to conduct empirical estimations. Results obtained from the panel data model show that FDI and education help lower income inequality; GDP exhibits an inversed U shape relationship with income inequality. Moreover, both corruption and openness are associated with a positive relationship with the degree of income inequality. However, we find no significant relation between R&D and income inequality. MENG-WEN TSOU 鄒孟文 2017 學位論文 ; thesis 47 zh-TW
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description 碩士 === 國立中央大學 === 產業經濟研究所在職專班 === 105 === Income inequality is a widely concerned issue in most countries. Understanding the determinants of income inequality helps government propose effective policy measures to mitigate the degree of income inequality. This thesis utilizes a panel dataset of 61 countries for the 2004-2012 period to investigate determinants of income inequality by focusing on openness, innovation and institutional factors. To obtain robust estimates, we adopt both 20/20 ratio and 10/10 ratio as indicators of income inequality to conduct empirical estimations. Results obtained from the panel data model show that FDI and education help lower income inequality; GDP exhibits an inversed U shape relationship with income inequality. Moreover, both corruption and openness are associated with a positive relationship with the degree of income inequality. However, we find no significant relation between R&D and income inequality.
author2 MENG-WEN TSOU
author_facet MENG-WEN TSOU
WEN-CHEN HUANG
黃雯楨
author WEN-CHEN HUANG
黃雯楨
spellingShingle WEN-CHEN HUANG
黃雯楨
NONE
author_sort WEN-CHEN HUANG
title NONE
title_short NONE
title_full NONE
title_fullStr NONE
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publishDate 2017
url http://ndltd.ncl.edu.tw/handle/dg3e7t
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AT huángwénzhēn suǒdébùjūndejuédìngyīnsùkuàguóyánjiū
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