Exploring the Association between Job Attributes and Housing Rents: A Case Study of Guangzhou

Abstract

The association between jobs and housing rents has garnered significant attention from scholars. However, the current body of literature only examines a limited number of job-related characteristics when investigating the link between jobs and housing rents, without delving into more comprehensive job attributes. This study utilizes job data sourced from the job search website Zhilian to conduct a comprehensive analysis of how housing rents are associated with job attributes (specifically, job position features, employer features, and distant job accessibility) at various spatial scales. The analysis is based on a sample of 3,850 communities in Guangzhou, China. This study reveals that housing rents are associated with job attributes at varying spatial scales, with the magnitude of impact generally diminishing as the spatial scale expands. When considering job attributes, it is found that employer features hold the highest level of significance, followed by job position features, while distant job accessibility is deemed to be of lesser importance. The aforementioned findings contribute novel insights into the association between specific job characteristics and housing rents. This information can prove valuable for policymakers as they strive to formulate affordable housing strategies that align with prevailing employment conditions.