Wages, house prices and industry composition
An empirical analysis of cities in China
Bibliographic Data
| ID | 12549412 |
|---|---|
| Authors | Wang Jing (0000-0001-6545-6859, Chongqing Technology and Business University), Jing Wang (0000-0002-7594-8539, Chongqing Technology and Business University), Zhu Lifen (Chongqing Technology and Business University, corresponding author), Lifen Zhu (Chongqing Technology and Business University), Jing Li (0000-0001-7792-4322, Chongqing Technology and Business University) |
| Year | 2019 |
| Volume | 24 |
| Issue | 4 |
| Pages | 618-644 |
| Publication date | 2019-09-18 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of the Asia Pacific Economy (JOURNAL) |
| Journal identifiers | ISSN: 1354-7860 • E-ISSN: 1469-9648 |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/13547860.2019.1664534 |
| OpenAlex | W2973989888 |
| Language | EN |
| References cited | 82 |
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
Business · China · Composition (language · Econometrics · Economic geography · Economics · Economy · Geography · House price · China's Socioeconomic Reforms and Governance · Housing Market and Economics · Regional Economics and Spatial Analysis
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| Highly cited | No |
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