Real estate has always been a key industry associated with China’s economic and social development, and the real estate market has fluctuated violently in recent years. An objective and accurate evaluation of Chinese residents’ willingness to purchase housing provides a foundation for the sustainable development of the real estate industry. Accordingly, an evaluation index system and an evaluation model of Chinese residents’ willingness to buy housing were established in this study. First, the influencing factors of Chinese residents’ willingness to buy housing were systematically analyzed using Perceived Value Theory. Subsequently, the Continuous Ordered Weighted Averaging was used to assign weights to the selected index system, with smaller expert weights assigned to extreme expert opinions to reduce the subjectivity of the weight calculation results. Ultimately, an evaluation model based on the Extension Cloud Model was constructed. Residents of Nanyang City, Henan Province, China, were selected to find some distinctive conclusions. The empirical study showed that Nanyang residents were hesitant about the purchase intention of the case in April 2021, but quickly became resolute in not buying. Owing to the abrupt change in the real estate industry in China, perceived risk has become the most important risk factor. Several methods have been suggested to improve Chinese residents’ willingness to buy housing. Compared with the Analytic Hierarchy Process, the Entropy Weight Method, the fuzzy mathematics, and the grey cluster analysis, it was proved that the proposed model was more effective and advanced.
Tenant means a person who occupies land or property rented from a landlord, however tenants’ perceptions in renting a house have drifted into oblivion. People will be confused between renting or buying a house if they did not understand the differences between the two. So, this issue should be researched to completely comprehend the factors that influence the tenants' preferences to rent a house. The factor in preferences to rent a house is because home ownership has become inaccessible for today’s generation. This is because the majority of tenants are working adults who need to face the insurmountable employability and changing social issues affecting its investment. All the data in this research was acquired from the results of demographic analysis and 100 sets of questionnaires within quantitative standards which were conducted online through the Google Forms. The findings have been concluded after gathering all the data, which is to identify the factors in preference to rent and its chronological ranks. This was done not only to get the insight to rent versus ownership decision-making from all walks of life but also of the current market needs. This study will enable the developer and researchers to provide appropriate pricing and amenities, reduce vacant properties and also present realistic solutions such as the Rent to Own scheme, ultimately benefitting the clientele and property industry in the long run.
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