Code for paper

Policy Consistency and Modelling Improvement Method: Evidence from China’s Housing Presale Supervision Policy

Author: Ym Liu

Highlights:

 Improved Policy Modeling Consistency (PMC) index calculated
 Empirical reveals regional disparities in presale supervision policy implementation
 Machine learning algorithms: neural networks, topic modeling.
 Mixed methods: qualitative and quantitative data from 41 cities’ presale supervision
 Insights for effective housing regulations, contribution to policy evaluation field

Abstract

The analysis shows that these localized policies may lead to supply-demand imbalances and increased development opportunity costs. Moreover, the study suggests that flexible and context-specific regulatory frameworks could better enhance market stability and consumer welfare. By offering a comprehensive and scientifically rigorous evaluation of real estate presale supervision policies, this study underscores the importance of tailored regulatory approaches in addressing the unique challenges of different regions, thereby supporting more sustainable and balanced market development