Industrial investments and housing prices in China
Junmin Wan and
Qiqi Qiu
International Review of Economics & Finance, 2023, vol. 84, issue C, 832-852
Abstract:
Explosive housing prices in major cities have created a great deal of new houses that are vacant, which is defined as oversupply. We use the matrix of the direct input coefficients of an input–output table to identify 13 of 36 Chinese industrial sectors as housing-related. We estimate Marginal q values by sector for 2001–2016; sectoral investment is explained by panel estimations based on Marginal q theory. The Marginal q investment elasticities of 13 housing-related industries, the remaining 23 industries, and all industries were 0.2412, 0.8539, and 0.6956 respectively. The housing price Granger explains the producer price index (PPI), and the PPI Granger explains the Marginal q values of the 36 industrial sectors. Overcapacity via overinvestment was evident in all 13 housing-related industrial sectors, including metal and cement, during the period of explosive housing prices.
Keywords: China; Explosive housing prices; Industrial sector; Input–output table; Marginal q (search for similar items in EconPapers)
JEL-codes: E22 E32 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056022003136
Full text for ScienceDirect subscribers only
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:eee:reveco:v:84:y:2023:i:c:p:832-852
DOI: 10.1016/j.iref.2022.11.039
Access Statistics for this article
International Review of Economics & Finance is currently edited by H. Beladi and C. Chen
More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().