The Contribution of Information Technology to Economic Growth
碩士 === 世新大學 === 經濟學研究所(含碩專班) === 97 === This study evaluates the impact of information technology on economic growths. It uses economic growth convergence theory as the basis and makes use of actual statistical data over the years from many countries as well as the Digital Opportunity Index (DOI) to...
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ndltd-TW-097SHU053890062016-11-17T04:06:10Z http://ndltd.ncl.edu.tw/handle/94454390598642635473 The Contribution of Information Technology to Economic Growth 資訊科技對經濟成長貢獻之探討 I-Chun Chen 陳宜君 碩士 世新大學 經濟學研究所(含碩專班) 97 This study evaluates the impact of information technology on economic growths. It uses economic growth convergence theory as the basis and makes use of actual statistical data over the years from many countries as well as the Digital Opportunity Index (DOI) to conduct quantile regression analyses to examine what impact information technology has on different income growth quantiles. Empirical results show that the real initial GDP all the coefficients are negative in value, which indicates economic convergence. We also find that for countries in the low and medium quantiles, the DOI has significant positive impact on economic growth rates. On the other hand, countries in the high quantile are under 10% of the level of significance and the DOI has positive impact on economic growth rates. What remains interesting is that for countries in the high-intermediate quantile, the level of digitization has little and insignificant impact on individual income growth. This proves that countries with low level of digitalization can elevate their incomes through information technology and the effect is much higher than countries with higher levels of digitization. Therefore we can infer that in countries in the high quantile, there exists complex and diversified factors of economic growth and the effect of using digitalization alone to enhance economic growth is limited. Ji Chou 周濟 2009 學位論文 ; thesis 52 zh-TW |
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碩士 === 世新大學 === 經濟學研究所(含碩專班) === 97 === This study evaluates the impact of information technology on economic growths. It uses economic growth convergence theory as the basis and makes use of actual statistical data over the years from many countries as well as the Digital Opportunity Index (DOI) to conduct quantile regression analyses to examine what impact information technology has on different income growth quantiles.
Empirical results show that the real initial GDP all the coefficients are negative in value, which indicates economic convergence. We also find that for countries in the low and medium quantiles, the DOI has significant positive impact on economic growth rates. On the other hand, countries in the high quantile are under 10% of the level of significance and the DOI has positive impact on economic growth rates. What remains interesting is that for countries in the high-intermediate quantile, the level of digitization has little and insignificant impact on individual income growth. This proves that countries with low level of digitalization can elevate their incomes through information technology and the effect is much higher than countries with higher levels of digitization. Therefore we can infer that in countries in the high quantile, there exists complex and diversified factors of economic growth and the effect of using digitalization alone to enhance economic growth is limited.
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author2 |
Ji Chou |
author_facet |
Ji Chou I-Chun Chen 陳宜君 |
author |
I-Chun Chen 陳宜君 |
spellingShingle |
I-Chun Chen 陳宜君 The Contribution of Information Technology to Economic Growth |
author_sort |
I-Chun Chen |
title |
The Contribution of Information Technology to Economic Growth |
title_short |
The Contribution of Information Technology to Economic Growth |
title_full |
The Contribution of Information Technology to Economic Growth |
title_fullStr |
The Contribution of Information Technology to Economic Growth |
title_full_unstemmed |
The Contribution of Information Technology to Economic Growth |
title_sort |
contribution of information technology to economic growth |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/94454390598642635473 |
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