{"title":"How demographic changes reshape the housing sector: Evidence from China’s labor allocation and price dynamics","authors":"Xintong Yang , Jiao Li , Chengdong Yi","doi":"10.1016/j.econmod.2025.107161","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates how changes in fertility and mortality rates reshape labor allocation and housing prices, addressing gaps in understanding the structural impacts beyond direct housing demand. While existing literature focuses primarily on demographic influences on housing prices, sectoral labor adjustments remain underexplored. Using panel data from 297 Chinese cities (1999–2019) and an overlapping generations model, we analyze how demographic changes affect the construction and real estate services industries. We find higher fertility rates increase employment in both industries and raise house prices, while lower mortality rates increase employment in real estate services industry. These findings reveal important structural mechanisms: fertility-driven population growth boosts new housing demand, whereas aging from lower mortality shifts labor toward real estate services. Our findings offer novel insights into the general equilibrium channels linking demographic transitions and housing markets, with implications for urban planning and labor market policies in aging economies.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"151 ","pages":"Article 107161"},"PeriodicalIF":4.7000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999325001567","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper investigates how changes in fertility and mortality rates reshape labor allocation and housing prices, addressing gaps in understanding the structural impacts beyond direct housing demand. While existing literature focuses primarily on demographic influences on housing prices, sectoral labor adjustments remain underexplored. Using panel data from 297 Chinese cities (1999–2019) and an overlapping generations model, we analyze how demographic changes affect the construction and real estate services industries. We find higher fertility rates increase employment in both industries and raise house prices, while lower mortality rates increase employment in real estate services industry. These findings reveal important structural mechanisms: fertility-driven population growth boosts new housing demand, whereas aging from lower mortality shifts labor toward real estate services. Our findings offer novel insights into the general equilibrium channels linking demographic transitions and housing markets, with implications for urban planning and labor market policies in aging economies.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.