居民购房意愿指数构建及其应用基于网络搜索数据

    Construction and Application of a Residents’ Housing Purchase Intention IndexEvidence from Online Search Data

    • 摘要: 在推动房地产高质量发展的背景下,及时了解居民购房意愿变化有助于评估市场需求波动,并为政府和房地产企业制定应对策略提供依据。基于全国和各城市的百度搜索指数,选取了具有明确购房意图的关键词,通过在线搜索数据分别定量测算了全国及35个大中城市的居民购房意愿指数。并将这些城市的购房意愿划分为高、中、低三种类型。进一步地,还探讨了该指数在预测未来房价中的作用。研究发现,样本期内全国居民购房意愿指数发生了结构性变化,2018年达到峰值,随后呈现下降趋势;中国居民购房意愿从东部沿海核心城市向部分中西部内陆城市和东北地区扩散,并且中等和低购房意愿城市的分布范围显著扩大;居民购房意愿指数不仅在全国范围内能够有效预测未来的房价变化,在区域层面也展现出显著的预测能力。

       

      Abstract: In the context of promoting the high-quality development of the real estate sector, timely understanding of changes in residents’ willingness to purchase housing is essential for assessing fluctuations in market demand and providing evidence-based support for policymaking by governments and real estate enterprises. Based on Baidu Search Index data at both the national and city levels, this study selects keywords that explicitly reflect housing purchase intentions and constructs a quantitative measure of the Housing Purchase Intention Index (HPII) for China as a whole and for 35 major cities. The HPII values of these cities are further categorized into three levels: high, medium, and low. In addition, the study examines the predictive power of the HPII for future housing price movements. The results reveal that China’s national HPII experienced a structural shift during the sample period, reaching its peak in 2018 and showing a downward trend thereafter. Housing purchase intentions have diffused from core coastal cities in eastern China toward selected inland cities in central and western regions as well as northeastern regions, accompanied by a substantial expansion in the number of cities exhibiting medium or low HPII levels. Moreover, the HPII demonstrates strong predictive ability for future housing price changes not only at the national level but also across different regions.

       

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