| 英文摘要 |
This study employs Punctuated Equilibrium Theory (PET) and Policy Modeling Consistency (PMC) Index to systematically analyze the evolution mechanisms of China's real estate policies and market responses during the COVID-19 pandemic. Based on 3,466 real estate policy documents spanning from 1980 to 2024, combined with text mining, network analysis, and sentiment analysis methods, this research explores how the pandemic as an external shock disrupted the existing policy equilibrium and triggered structural transformation of the policy system. The findings reveal that: (1) Real estate policies during the pandemic exhibited typical punctuated equilibrium characteristics, with policy issuance in 2020 surging 187.6% compared to 2019, reaching historical peaks in both density and intensity; (2) Policy content shifted from market regulation to risk prevention and livelihood protection, with PMC index assessment showing 45.55% of policies achieving excellent level, though policy quality showed polarization; (3) Policy coordination mechanisms transformed from centralized deployment to localized city-specific strategies, with horizontal coordination index increasing by 0.15 while vertical coordination index decreasing by 0.13; (4) Housing price trends across city tiers shifted from significant pre-pandemic divergence to convergent decline, with first-tier cities' volatility coefficient dropping from 1.2 to 0.45, exhibiting non-linear characteristics of ''strong policies, weak responses.'' The theoretical contribution of this study lies in extending the application of punctuated equilibrium theory to real estate policy research and constructing a PMC evaluation system applicable to the Chinese context, providing a new analytical framework for understanding policy evolution mechanisms under major external shocks. The study recommends: constructing a more resilient policy system in the post-pandemic era, strengthening forward-looking policy tool design, and optimizing multi-level collaborative governance mechanisms to enhance the precision and effectiveness of real estate market regulation. |