In the process of urbanization in China, traditional villages are facing many challenges and impacts which impose certain constraints on their sustainable development. Based on the perspective of resilience theory, this paper uses fuzzy-set qualitative comparative analysis to construct a complex causal model of traditional village conservation and development, conducts an empirical study on 28 national traditional villages in Liandu District and Qingyuan County, Lishui City, Zhejiang Province, and analyzes four high-level history paths by using fsQCA3.0 software (Developed by the American scholar Charles Ragin et al.), based on which four traditional conservation and development models are proposed and concretized into different conservation and development strategies for different village types. The research analysis shows that (1) resilience theory is applicable to the study of traditional village conservation and development, and has certain relevance and can effectively improve the response ability of traditional villages to uncertainty risks; (2) The framework of traditional village protection and development is based on landscape environmental protection, guaranteed by village industry development, and supported by other influencing factors (natural disaster response, social organization, and cultural heritage); (3) under the perspective of resilience theory, there are four models of traditional village conservation and development (JSC model, Z&C model, J&W model, and S&C model), which have good explanatory power and coverage and can address the real problems of different village types in a targeted manner.

The quality and scale of urbanization development are the two main aspects in China’s current urbanization process. By measuring and analyzing the level differences in these two aspects, the healthy development of China’s urbanization and urban–rural integration will be promoted. Based on the quality of urbanization and the scale of urbanization, this paper constructs an evaluation index system for urbanization coordination level. On this basis, this paper analyzes the spatial correlation, spatial difference, and spatial pattern evolution characteristics of urbanization coordination level in 286 sample cities nationwide from 2005 to 2015. Then, by introducing the spatial econometric regression model, this paper discusses the driving mechanism of the spatial and temporal evolution of urbanization coordination level. The results show that: (1) The level of coordination between urbanization quality and urbanization scale shows a strong spatial correlation in space, which is consistent with the actual development status; (2) the level of urbanization coordination shows a trend of evolution from northeast to southwest in the evolution of spatial pattern, but the extent of change is small; and (3) the spatial and temporal pattern of urbanization coordination level is affected by different driving forces, of which internal source is the primary impact factor, followed by administrative level and investment level. In addition, the level of urbanization coordination has a positive spillover effect on the level of urbanization coordination in adjacent areas.