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Growth, Development, and Income Ineq...

Huang, Yi-Yu.

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Growth, Development, and Income Inequality in Taiwan: The Impacts of Human Capital, Industry Structure, and Labor Force Mix, 1981-1996.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Growth, Development, and Income Inequality in Taiwan: The Impacts of Human Capital, Industry Structure, and Labor Force Mix, 1981-1996./
作者:	Huang, Yi-Yu.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2003,
面頁冊數:	247 p.
附註:	Source: Dissertations Abstracts International, Volume: 65-06, Section: A.
Contained By:	Dissertations Abstracts International65-06A.
標題:	Urban planning. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3104421
ISBN:	9780496519880

Growth, Development, and Income Inequality in Taiwan: The Impacts of Human Capital, Industry Structure, and Labor Force Mix, 1981-1996.
Huang, Yi-Yu.

Growth, Development, and Income Inequality in Taiwan: The Impacts of Human Capital, Industry Structure, and Labor Force Mix, 1981-1996. - Ann Arbor : ProQuest Dissertations & Theses, 2003 - 247 p.

Source: Dissertations Abstracts International, Volume: 65-06, Section: A.

Thesis (Ph.D.)--Cornell University, 2003.

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

Taiwan's economic performance in the 1950s, 1960s, and 1970s can be characterized by rapid, sustained growth, along with marked improvement in the household income distribution. However, ever since the 1980s, economic growth has slowed down quite a bit, and the distribution of income has gradually deteriorated. The question that this research tries to answer is: Do the factors that enhance development also favor growth and reduce inequality, or are they offsetting?Models are developed for each of the three dependent variables, namely, economic growth (measured by the rate of growth of earnings per household), economic development (measured by earnings per household), and income inequality (measured by the Gini coefficient of earnings per household). To identify the potential set of mutually beneficial determinants for the three dependent variables, a core modeling structure is shared across three sets of models. This core modeling structure includes three groups of variables which can exert effects on the three dependent variables. These groups are human capital, industry structure, and labor force mix. Development, growth, and inequality are not constant over space within a nation. Consequently, the units of analysis are spatial units of Taiwan (15 counties and 5 cities) over the period from 1981 to 1996.Results show that, among the 16 variables, only one is a mutually beneficial determinant. That is, a lower unemployment rate predicts higher economic development, and more equal income distribution. Some measures of industry structure enhance development, while others do not. Human capital and some measures of labor force mix enhance development and growth. Those factors have either a negative effect or no effect upon income inequality. Very few factors in this analysis have a positive effect upon the distribution of income, that is, reduce the Gini coefficient.Other than reducing unemployment, results suggest that it is not possible that the three goals of fostering economic growth, development, and improving income distribution can all be achieved simultaneously. Evidence suggests that recent economic trends-a better-educated labor force, a sectoral shift from traditional, labor-intensive, low-tech, manufacturing-based production toward knowledge-intensive, high-tech, information-based production-tend to favor economic growth, and development more than income equality.

ISBN: 9780496519880Subjects--Topical Terms:

2122922
Urban planning.
Subjects--Index Terms:

China

Growth, Development, and Income Inequality in Taiwan: The Impacts of Human Capital, Industry Structure, and Labor Force Mix, 1981-1996.
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506 $a This item must not be sold to any third party vendors.
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520 $a Taiwan's economic performance in the 1950s, 1960s, and 1970s can be characterized by rapid, sustained growth, along with marked improvement in the household income distribution. However, ever since the 1980s, economic growth has slowed down quite a bit, and the distribution of income has gradually deteriorated. The question that this research tries to answer is: Do the factors that enhance development also favor growth and reduce inequality, or are they offsetting?Models are developed for each of the three dependent variables, namely, economic growth (measured by the rate of growth of earnings per household), economic development (measured by earnings per household), and income inequality (measured by the Gini coefficient of earnings per household). To identify the potential set of mutually beneficial determinants for the three dependent variables, a core modeling structure is shared across three sets of models. This core modeling structure includes three groups of variables which can exert effects on the three dependent variables. These groups are human capital, industry structure, and labor force mix. Development, growth, and inequality are not constant over space within a nation. Consequently, the units of analysis are spatial units of Taiwan (15 counties and 5 cities) over the period from 1981 to 1996.Results show that, among the 16 variables, only one is a mutually beneficial determinant. That is, a lower unemployment rate predicts higher economic development, and more equal income distribution. Some measures of industry structure enhance development, while others do not. Human capital and some measures of labor force mix enhance development and growth. Those factors have either a negative effect or no effect upon income inequality. Very few factors in this analysis have a positive effect upon the distribution of income, that is, reduce the Gini coefficient.Other than reducing unemployment, results suggest that it is not possible that the three goals of fostering economic growth, development, and improving income distribution can all be achieved simultaneously. Evidence suggests that recent economic trends-a better-educated labor force, a sectoral shift from traditional, labor-intensive, low-tech, manufacturing-based production toward knowledge-intensive, high-tech, information-based production-tend to favor economic growth, and development more than income equality.
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