## 6 Conclusions  
With the improvement of people's energy crisis and environmental protection awareness, green residences will become the main trend of construction industry development. However, the study on the spatial distribution characteristics of green residences and its influencing factors has not attracted enough attention in the academic circles. This paper pioneered the study of the spatial and temporal evolution of different ratings of green residences and their driving factors in China. The research results of this paper will be helpful the government to put forward targeted development plans to improve the level of local green residences, and will also be helpful real estate enterprises to make strategic decisions on green housing development. This paper established a spatial panel database on the number of green residences with different stars owned in each city from 2008 to 2016, and a panel database on the driving factors of 42 cities with a large number of green residences during 2008 to 2015. By employing ArcGIS 10.8 software, this study calculated the SDE model parameters of each rating of green residences, and revealed the spatial and temporal evolution laws of green residences with different star levels in China at the municipal level. Through SPSS 26.0 software, the study figured out the [PERSON]'s correlation coefficients between the number of green residences in each star and the 21 driving factors selected in this paper, and confirmed the applicability of these factors in the research. This paper creatively introduced an improved Gini coefficient of green building development (G\({}^{\prime}\)-score) to represent the annual measure of green residences development in each city. With the help of Stata 16.0 software, this study took advantage of the panel Tobit model and the average marginal effect value to quantitatively analyze the driving mechanism and key influencing factors of each star-rated green residences in China from economy, society, real estate market, policy, and climate. The main conclusions are as follows. From the perspective of evolutionary trend, green residences first appeared in economically and socially developed cities in China such as Shanghai, Beijing, Shenzhen, etc. Since 2011, China has entered a period of rapid development of green residences, and formed a relatively stable and clear temporal and spatial evolution path. The specific characteristics are as follows: the center of gravity and coverage of the standard deviation ellipse are gradually moving westward, the gap between the major and minor axes' standard deviation is gradually narrowed, the directionality of the development trend of green residences is gradually weakened, and the evolution pattern of uniform diffusion from the core regions to the surrounding regions is gradually presented. Of course, there are differences in the specific evolution amplitude and speed of different star-levels of green residences. From the perspective of geographical distribution, China's green residences are mainly distributed in the economically and socially developed central and eastern regions, and the main direction layout is northeast-southwest. With the rapid development of green residences in western region, the coverage area of standard deviation ellipse gradually increased, the range expanded to the west, and the distribution shape is gradually approaching a circle. Meanwhile, the performance of especially obvious with the improvement of the evaluation level. From the perspective of driving mechanisms, the development of green residences is the result of the interaction of various factors. Under the condition that other factors are unchanged and changed, the driving force of any factor will produce changes of increase or decrease, and this change has no rule to follow either path among different evaluation levels or among various influencing factors.