Wages, house prices and industry composition: an empirical analysis of cities in China
Jing Wang,
Lifen Zhu and
Jing Li
Journal of the Asia Pacific Economy, 2019, vol. 24, issue 4, 618-644
Abstract:
Wages and house prices are two of the hottest public issues in China today. Whether and how the change in industry composition affects them? These issues have received widespread public attention. This study is dedicated to analysing the effects of industrial composition, which is measured by an index calculated using 19 2-digit industries, on wages and house prices using a modified hedonic price model and prefecture-level city data from China between 2005 and 2013. The main findings indicate that (1) an increase in industry composition index will drive up wages and house prices. The increment of wages surpasses that of house prices, showing that the house-purchasing burden decreases as the index increases; and (2) the effects of industry composition on wages and house prices differ between high-, middle- and low-income cities. The change in industry composition may increase the wage and house price gaps between cities of different income levels.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/13547860.2019.1664534 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rjapxx:v:24:y:2019:i:4:p:618-644
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rjap20
DOI: 10.1080/13547860.2019.1664534
Access Statistics for this article
Journal of the Asia Pacific Economy is currently edited by Leong Liew
More articles in Journal of the Asia Pacific Economy from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().