Prefabrication has been considered an effective alternative to conventional building. It has gained an increasing amount of attention over the last few decades as a way to advance sustainable construction. This study focused on the construction stage to compare sustainable performances of prefabrication with conventional building. Sixteen indicators were extracted from a literature review and specialist interviews to conduct a sustainability evaluation. A survey was delivered to developers, designers, superintendents, manufacturers, and contractors of a Chinese case project. A total of 51 valid responses were collected. Projection pursuit (PP), based on the real-coded accelerating genetic algorithm (RAGA), was employed to evaluate the sustainability of prefabrication. The results showed that there was a consensus among the participants that prefabrication has more obvious sustainable performances in the construction phase compared with conventional building. However, cognitive differences among the participants regarding the sustainability of prefabrication were also pronounced. The findings presented in this paper may assist the government to propose feasible policies and measures to promote the development of prefabrication in China.

A bibliometric analysis was conducted to review social media research from different perspectives during the period of

Stable home prices are critical to a healthy housing market and sustainable development. Home prices in many Chinese cities have increased dramatically in past decades. The China's central bank uses two primary monetary controls on overheated housing prices: the bank lending supply and lending rate. However, little to no evidence informs whether the nation-level bank lending controls are effective at the city level. Unlike extant studies that only focus on nation-level effects of such controls, this research analyzes long-run effects on housing prices at the national, regional, and city levels. The authors perform cross-sectional time-series regressions on empirical data from 35 major Chinese cities for the period 2003 to 2015. Results confirm that controlling lending rates is effective as a long-term measure at the national, regional, and city levels, whereas controlling the lending supply is effective as a short-term measure for many cities. Results also reveal that housing prices cause lending supply changes for many regions in a long run and indicate that credit policy often lags in response to housing price changes. Findings show that the effectiveness of bank lending largely varies at the city level, suggesting city-tailed bank lending rather than the centralized controls at the national level.

Green housing reduces resource consumption and protects the ecological environment. Sustainable buildings and construction have gained increasing attention in the last decade. Many empirical studies have confirmed that green housing imposes a price premium at the presale stage. The high price could be a concern that prevents homebuyers from purchasing green buildings. However, there is a lack of empirical evidence on whether the premium pricing could be compensated for by the resale price. To address this gap, this study establishes a hedonic regression model to estimate the price premium of green housing at the resale stage. The results show that green housing certified with the Chinese Green Building Label (CGBL) offers a 6% price premium compared with non-green housing at the resale stage. The results also show that green housing with a higher level of green certification, e.g., the 3-star CGBL, provides a greater price premium at resale. The findings indicate that home-buyers can obtain financial compensation for the high cost when purchasing a green home. Our findings also indicate that the price premium for reselling a green home is not always enough to compensate for the purchase cost in different cities. Policy recommendations for government promotion of green housing are also discussed.