Real Estate
APAC Focus: Deleveraging Series 4: Secondary Property Listings
The secondary listings data of 257 cities provides a granular analysis of vacancy rates by city and quantifies the amount of vacant properties.
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Real Estate
The secondary listings data of 257 cities provides a granular analysis of vacancy rates by city and quantifies the amount of vacant properties.
How does secondary listings data diverge among cities?Ìý
We studied secondary listings data across 257 cities (covering 88% of China's population) and performed a case study on three city clusters. We think the current high levels of secondary listings are the unwinding of speculative demand over the past decade when property prices appreciated sharply. Our analysis reveals diverging trends among cities:Ìý
Why study secondary listings now?Ìý
There are a few reasons:Ìý
Secondary transactions in China set to increase
We believe speculative demand over the past two decades caused a rising proportion of new home transactions, especially in satellite cities due to the spillover of speculative demand. Homebuyers were willing to buy those properties for speculation, while developers and local governments were willing to sell properties/land parcels. However, under the "Property not for speculation“ policy and amid weakening property prices since 2H21, these speculative purchases are beginning to unwind. As a result, we expect property demand to be skewed toward prime locations within cities. At the same time, due to the digestion of secondary listings, developers will likely reduce construction starts, leading to lower primary housing supply. Combining these demand and supply factors, we expect secondary transactions to increase as a proportion of total property transactions.