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Publications (7)
This volume provides comprehensive updated coverage of inequality and poverty issues in China. Some of the methodologies developed herein are published for the first time and may be used in other contexts and for other countries. The use of different data sources and state-of-art research techniques...
Getting an accurate picture of poverty and inequality trends and patterns in the world's most populous country is central to understanding changes in global inequality and poverty – these alter significantly when China is included or excluded. China's future performance is obviously central to the...
Working Paper
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– A Decomposition Framework with Application to China
This paper proposes a framework for incorporating longitudinal distributional changes into poverty decomposition. It is shown that changes in the Sen-Shorrocks-Thon index over time can be decomposed into two components—one component reflects the progressivity of income growth among the original poor...
Working Paper
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– Trends and Causes
Applying the Shapley decomposition to unit-record household survey data, this paper investigates the trends and causes of poverty in China in the 1990s. The changes in poverty trends are attributed to two proximate causes; income growth and shifts in relative income distribution. The Foster-Greer...
Working Paper
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Food price increases and the introduction of radical social welfare and enterprise reforms during the 1990s generated significant changes in the lives of urban households in China. During this period urban poverty increased considerably. This paper uses household level data from 1986 to 2000 to...
Working Paper
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– Determinants and Impact on Income Inequality in 1988 and 2002
This study provides the first set of empirical evidence on the determinants of social benefits received by urban families in China and the impact on income inequality using the China Household Income Project (CHIP) 1988 and 2002 data. It finds that the total urban social benefits strongly targeted...
Working Paper
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– Empirical Evidence from China
This paper argues that the conventional approach of data averaging is problematic for exploring the growth–inequality nexus. It introduces the polynomial inverse lag (PIL) framework so that the impacts of inequality on investment, education, and ultimately on growth can be measured at precisely...
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