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CHIP
(3)
answer(s).
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1
ID:
121805
Housing price and household savings rates: evidence from China
/ Shi Li; Whalley, John; Zhao, Xiliang
Whalley, John
Journal Article
0 Rating(s) & 0 Review(s)
Publication
2013.
Summary/Abstract
This article investigates the effect of house prices on household savings rates in urban China employing the 2002 and 2007 data of the Chinese Households Income Project (CHIP). We find that the rapid appreciation of house prices cannot explain high Chinese households' savings rates and the rising of Chinese savings rates. On the contrary, we find a negative relationship between house prices and household savings rates for home renters and homeowners. We do not find any evidence of 'savings for housing purchase' for young home renters when house prices increase. Their savings rates declined during housing market booms in recent 10?years. Savings rates of homeowners possessing multiple housing have decreased more because of 'the pure housing wealth effects.'
Key Words
Chip
;
House Prices
;
Households Saving Rates
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2
ID:
094624
Onset of mobile chip piracy in the domain of copyright infringe
/ Nayak, Abhipsa; Chatterjee, Satabdi
Nayak, Abhipsa
Journal Article
0 Rating(s) & 0 Review(s)
Publication
2010.
Key Words
Mobile
;
Chip
;
Chip Piracy
;
Copyright Infringement
;
Internet Downloads
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3
ID:
188931
Toward an Empirical Analysis of Income and Time Poverty in Urban China
/ Wang, Wei
Wang, Wei
Journal Article
0 Rating(s) & 0 Review(s)
Summary/Abstract
Many earlier studies have assessed Chinese poverty using monetary dimensions, but few have considered the time dimension. This research investigates multidimensional poverty in urban China, using data from the 2013 China Household Income Project, from the standpoints of income and time. A logistic regression model was used to estimate the socioeconomic causes of income poverty, time poverty, and income–constrained time poverty. Empirical results obtained from this study reveal that being a paid female worker or a private enterprise employee and bearing the financial burdens of housing and medical care have significant effects on the probability of being time poor. In addition, workers who have low academic achievement, children, and educational loans are particularly prone to suffering income–constrained time poverty. This study contributes to the assessment of severe poverty situations and suggests an increasing need for working time regulations and more support for less-educated workers in urban China.
Key Words
Urban China
;
Chip
;
Multidimensional Poverty
;
Time Poverty
;
Income–Constrained Time Poverty
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