Rural spatial commodification serves as a vital pathway toward comprehensive rural revitalization. Its development is closely intertwined with land use transition, with each process exerting reciprocal influence on the other. Research on the coupling between these two systems has emerged as a cutting-edge interdisciplinary field bridging rural geography and land system science. Based on a systematic review of research advances in rural spatial commodification and land use transition, this paper summarizes the existing gaps in the literature and attempts to construct a coupling framework integrating rural spatial commodification and land use transition. The findings indicate that, although the academic community has amassed a substantial body of research on rural spatial commodification, land use transition, and their coupled relationship with rural transformation, several gaps persist. These encompass the absence of systematic indicator frameworks and quantitative validation methods for rural spatial commodification, insufficient exploration into the coupling mechanisms between rural spatial commodification and land use transition, and a notable scarcity of empirical studies examining land use optimization driven by rural spatial commodification. Future research on the coupling between rural spatial commodification and land use transition should follow the logical framework of “elucidating theoretical connotations, characterizing coupling relationships, analyzing coupling mechanisms, simulating coupling processes, and regulating coupling states”. It is essential to strengthen the interdisciplinary integration of rural geography and land system science, thereby providing scientific guidance for the allocation of resources in rural areas and the implementation of rural revitalization practices.

The coupling coordination of urbanization and urban resilience is a key issue for achieving sustainable urban development. Taking 49 prefecture-level and above cities in the Beijing-Tianjin-Hebei (BTH), the Yangtze River Delta (YRD) and the Pearl River Delta (PRD)—China’s three major coastal urban agglomerations—as research objects, this paper constructs an evaluation index system for urbanization and urban resilience, and employs the CRITIC–entropy weight composite method, the coupling coordination degree model and kernel density estimation to measure the evolutionary characteristics of coupling coordination between urbanization and urban resilience in the three agglomerations during 2013–2023, and further identifies the key influencing factors using a panel fixed-effects model. The results show that (1) the coupling coordination degree of the three urban agglomerations increased continuously, with the PRD taking the lead in 2023 (0.6650), the YRD ranking second (0.6315) and the BTH ranking third (0.5627); however, their coupling coordination paths diverged markedly, specifically manifesting as a catch-up convergence pattern in the BTH, a balanced advancement pattern in the YRD and a polarization-divergence pattern in the PRD. (2) Opening-up and digital economy development are robust positive drivers of the coupling coordination level, and their positive effects are largely universal across regions; urban population agglomeration and government intervention constitute significant negative constraints, among which the inhibitory effect of government intervention exhibits genuine regional heterogeneity, being most prominent in the YRD, followed by the PRD, while failing the significance test in the BTH; technological innovation fails to pass the significance test; the full-sample effect of spatial structure is insignificant, but its influence exhibits significant regional heterogeneity, with a significantly positive association in the PRD. This study systematically reveals the regional differentiation rules governing the synergistic evolution of urbanization and resilience in the three urban agglomerations, providing empirical support for differentiated policies to promote the deep integrated development of urbanization and urban resilience.