Against the background of increas-ingly significant regional differentiation of the real estate market,studying the productivity of the real estate industry in different cities is the basis for un-derstanding the real estate resource allocation situa-tion in each city.This article firstly utilizes the DEA-Malmquist index model to measure the total factor productivity(TFP)of the real estate industry in 35 large and medium-sized cities in China from 2006 to 2020,and then discusses the main influencing factors from the perspectives of technological progress efficiency,scale efficiency,and pure technological efficiency based on the decomposition values of TFP and its changing pat-terns.The results of empirical analysis show that there are significant differences in the total factor productivity of real estate industry in different peri-ods and cities,and GDP per capita,population density and real estate policy are the main influen-cing factors,of which population density also has a significant'moderating effect'on the TFP of real estate industry.This not only further reveals the reasons for the change of TFP in real estate indus-try,but also provides theoretical basis and policy reference for the implementation of'one policy,one city'in real estate market regulation.
Real estate industryTotal factor productivityDEA Malmquist index modelPopulation densityModerating effect
万方数据
维普
