This study examines how housing purchase restrictions (HPRs) affect firms' robotics adoption through labor cost increases. Exploiting policy-driven housing price shocks across Chinese cities, we find firms significantly accelerate robot adoption in response to higher labor costs. Effects are pronounced among financially unconstrained firms, state-owned enterprises, and firms with skilled or educated workforces. Automation investments subsequently improve firm productivity, profitability, and market positions. Our findings highlight unintended spillovers from housing regulations to firm-level technological decisions and suggest policymakers consider these indirect effects when designing local market interventions.

China’s housing purchase restriction (HPR) policy imposes administrative restrictions on households’ home purchase eligibility to curb speculative demand. We quantify households’ willingness to pay (WTP) to re-acquire such eligibility. The empirical results based on the staggered DID specification suggest that when local governments implement the HPR policy, the transaction prices of judicial housing auctions legally exempted from HPR increase by 18.91%. This HPR-exempted qualification premium can be converted to an estimate of 22.48% of the transaction price as buyers’ WTP for home purchase eligibility. The heterogeneity analysis also suggests that the WTP significantly increases when speculative incentives are stronger in the housing market. If policymakers in mainland China consider replacing the HPR policy with an additional buyer transaction tax like that in Singapore and Hong Kong, China, the WTP estimates can serve as the benchmark in setting the tax rate.