1,141 research outputs found

    Globalization and Regional Income Inequality--Evidence from within China

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    China¡¯s recent accession to the WTO is expected to accelerate its integration into the world economy, which aggravates concerns over the impact of globalization on the already rising inter-region income inequality in China. This paper discusses China¡¯s globalization process and estimates an income generating function, incorporating trade and FDI variables. It then applies the newly developed Shapley value decomposition technique to quantify the contributions of globalization, along with other variables, to regional inequality. It is found that (a) globalization constitutes a positive and substantial share to regional inequality and the share rises over time; (b) capital is one of the largest and increasingly important contributor to regional inequality; (c) economic reform characterized by privatization exerts a significant impact on regional inequality; and (d) the relative contributions of education, location, urbanization and dependency ratio to regional inequality have been declining.

    Globalization and Regional Income Inequality: Evidence from within China

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    globalization, inequality, decomposition, Shapley value, China

    Inter-Industry Wage Differentials: An Increasingly Important Contributor to Urban China Income Inequality

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    How significantly inter-industry wage differentials contribute to rising income inequality is an essential policy issue for transitional economies. Using regression-based inequality decomposition, this paper finds that inter-industrial wage differentials contributed increasingly to income inequality in urban China through 1988, 1995, and 2002, mainly due to rapid income growth in monopolistic industries. Factors such as region, education, ownership, occupation, and holding a second job also contribute increasingly to income inequality, while being employed the whole year and age have decreasing contributions. If China seeks to reduce urban income inequality, removing entry barriers in the labor market and breaking monopoly power in the goods market are essential policy prescriptions.Inter-industry wage differntials, Income ineqality, Regression-based decomposition

    Globalization and Regional Income Inequality: Empirical evidence from within China

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    globalization, inequality decomposition, Shapley value, China

    Technical Progress and the Share of Labor Income

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    Changes in the labor share of national income affect inequality (Piketty 2014). This paper aims at investigating the relationship between the labor share and technical progress, based on provincial data of the People’s Republic of China (PRC) from 1978 to 2012. Our main empirical results show that technical progress in the PRC had been mostly capital biased, contributing to the fast rises in income inequality in the PRC. However, the employment proportion of state-owned enterprises seems to have played a role in offsetting this negative effect, helping contain inequality. In recent years, both effects have become more significant and larger in absolute terms

    A self-adaptive alarm method for tool condition monitoring based on Parzen window estimation

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    Tool condition monitoring (TCM) takes an important position in CNC manufacturing processes, especially in damages avoiding of working parts and CNC itself. This paper presents a self-adaptive alarm method using probability density functions estimated with the Parzen window based on current signals, which gives an adaptively and rapidly corresponding alarm when the cutting tool fracture occurs. A CNC with cutting tools was obtained by Guangzhou CNC Company for test purpose, and the relative experiments were done in the state key laboratory. Current signals of the spindle motor and the main feed motor were acquired during the tool life. A probability model estimated with the Parzen window is established for current data fusion to alarm adaptively. At the meantime, the acoustic emission (AE) signals were acquired for comparison purpose. Experimental results show that this technique is flexible and fast enough to be implemented in real time for online tool condition monitoring
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