2020
DOI: 10.1016/j.jhe.2020.101693
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Housing demand and household saving rates in china: Evidence from a housing reform

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Cited by 18 publications
(11 citation statements)
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“…The savings rate reduced to below 35% is necessary to boost domestic circulation 29 and may solve the problem of income inequality (Kakwani et al, 2019), and increase disposable income per capita. Post-retirement Chinese population faces pressure on their modest retirement income from health care, home ownership and other factors (Chen et al, 2020). Improvements in the social protection system, reforms in the field of health care and education will contribute to the reduction of the savings rate.…”
Section: Resultsmentioning
confidence: 99%
“…The savings rate reduced to below 35% is necessary to boost domestic circulation 29 and may solve the problem of income inequality (Kakwani et al, 2019), and increase disposable income per capita. Post-retirement Chinese population faces pressure on their modest retirement income from health care, home ownership and other factors (Chen et al, 2020). Improvements in the social protection system, reforms in the field of health care and education will contribute to the reduction of the savings rate.…”
Section: Resultsmentioning
confidence: 99%
“…The rate of household savings in China is among the highest in the world. It has experienced a substantial surge in savings rates in the past two decades, with household savings as a share of disposable income almost doubling, from 16% in 1992 to 30% in 2009 (Chen et al , 2020). For comparison, based on OECD data [1], in 2016, total household savings (per cent of household disposable income) in China was 36.14% while that of the USA, UK, New Zealand and South Africa was 6.99%, 1.74%, 0.02% and −0.91%, respectively.…”
Section: The Backgroundmentioning
confidence: 99%
“…Referring to existing literature [27,40], the population structure is divided into the urban−rural structure of population (URS), age structure of population (ASP), population consumption structure (PCS), population employment structure (PES) and population education level (PEL). Non-population structure factors include population size (PS), economic development expressed by per capita gross domestic product (PGDP), potential of water (PW), industrial structure (IS), and technological progress expressed by water consumption of 10,000 RMB gross domestic product (WGDP).…”
Section: Variables Affecting Industrial Water Consumptionmentioning
confidence: 99%