The imbalanced regional development of higher vocational education, particularly the disparity between the supply and demand of educational resources, has emerged as the primary factor impeding the provision of high-quality higher education in China during the establishment of a universal education system. Based on the 1,482 higher vocational education institutions recognized by the Ministry of Education of China in 2021 as the research objects, the development of higher vocational education in China was explored from the perspective of supply and demand using the entropy weight TOPSIS method and coupling coordination degree model. It was found that China’s higher vocational institutions were mainly located in provincial capitals, representing a point distribution pattern. From a comprehensive evaluation of the supply level, areas such as the Beijing-Tianjin-Hebei region, Yangtze River Delta, and central Henan Province have become the catchment areas for the development of higher vocational education, laying the foundation for regional network cooperation. From the perspective of educational equality, the higher vocational education in China was found to be sufficient to match the supply and demand, and a balance between supply and demand was apparent in provincial capitals. The coupling degree between supply and demand exhibited an “olive-type” spatial structure pattern, indicating that the development of higher vocational education in most cities in China is still in the transformation stage. The results provide a scientific basis for optimizing resources in the provision of higher vocational education.

China’s higher education has entered the stage of a universal system, enrolling over 50% of students, and the Chinese government takes its high-quality oriented development as its educational goal. However, as the largest developing country in the world, the regional inequality is still a major obstacle to the equitable development of higher education in China. With the 1270 higher education institutions listed by the Chinese Ministry of Education in 2021 as the research objects, the degree of regional inequality of higher education development (HED), and its influencing factors, was visualized after being calculated by geo-statistical methods, such as geographical detectors. The results show that, first, HED in China shows regional linkage and hierarchical connection in high-value regions in the input and outcome dimensions. Second, the input dimension is still the leading factor restricting current HED in China. At the local scale, the geographical stratification characteristics of the four dimensions are evident. The restriction of the educational process covers a wide range and is concentrated in areas with the high-value regions of HED. The innovation of the research is the analysis of the geographical stratification of mechanisms, which identifies regional differences in the factors affecting HED in China.

Small towns play a crucial role in bridging urban and rural territory systems. While numerous studies have identified the characteristics and causes of small town shrinkage (STS), there remains an unexplored perspective on the reasons for their shrinkage from the perspective of the rural-urban relationship. To address this research gap, we investigated the relationship between STS and rural-urban interaction (RUI) in China. We hypothesized that a negative relationship existed between the degree of STS and the intensity of RUI. Using geo-statistical methods, such as the multi-scale geographical weighted regression (MGWR) model, the hypothesis was tested using Henan Province in China as a case study. The results indicated that the phenomenon of STS was observed extensively across the study region, with a 59% geographical overlap between the high-value area of STS and the low-value area of urban-rural interaction. Three distinct sub-types of STS regions were identified: shrinking regions along geographical borders, shrinking regions adjacent to metropolitan areas, and shrinking regions in ecologically fragile areas. The factors influencing STS demonstrated spatial heterogeneity and multi-scale characteristics. The findings will improve our understanding of urban shrinkage from a multi-level perspective and offer policy makers guidance for the sustainable development of small towns based on local conditions.

Enhancing the resilience of territorial space is a necessary means to cope with future risks and development uncertainties. Resilience is the goal and connotation of implementing monitoring of territorial space planning, and planning supervision is the guarantee for the formation of resilient territorial space. Although domestic and foreign planning implementation monitoring has reflected resilience thinking in the background and objectives, it has achieved good results in ecological and social resilience of territorial space, there are still shortcomings in institutional systems and methodological techniques. At present, China’s territorial space planning is still in the exploratory stage, and the supervision and implementation system has not been perfected, which has not played the expected role in enhancing the resilience of territorial space. Therefore, with a focus on the development of China’s economy and society, it is necessary to build an efficient monitoring system for the implementation of territorial space based on China’s national conditions, and improve it in terms of ideology,, theoretical, policy, regulatory, methods and techniques, in order to promote the modernization of China’s territorial space governance and the construction of an ecological civilization system, and also provide reference for the spatial planning of other countries.

This study reconceptualises marginality in China’s inter-provincial border regions as a dynamic, scale-sensitive spatial relationship rather than a static condition of underdevelopment. Using the Hubei–Henan–Anhui border area as a case study, we quantitatively assess marginality across three dimensions—production, livelihood, and ecology—based on panel data from 61 counties for 2000, 2010, and 2021. The entropy-weighted TOPSIS method is used to calculate comprehensive development indices, and geographic detector models identify key driving factors. The results show that production marginality is persistently shaped by economic level and industrial structure. Livelihood marginality exhibits a clear temporal shift: dominant drivers move from healthcare security to cultural amenities and finally to transport accessibility. Ecological marginality remains primarily determined by natural endowments such as habitat quality and ecosystem services. Theoretically, the study advances marginality analysis by integrating spatial, temporal and dimensional perspectives. Practically, it offers a diagnostic framework to support differentiated, cross-administrative governance strategies that can transform peripheral border regions into cooperative hubs.

This study examines whether higher education development (HED) in China remains geographically locked in a core–periphery structure over 2002–2021 despite long-standing policies promoting balanced development. Using a composite assessment of HED and multiple spatial-inequality diagnostics, we identify strong persistence in the national spatial hierarchy and limited restructuring over time. Results indicate: (1) a stable top tier concentrated in a small set of leading cities, with the top-ranked cities exhibiting a stability index above 0.90, alongside a persistent lagging group; (2) an education-quality “center of gravity” anchored along the North China–East China axis, with a reduced migration distance from 76.58 km to 16.63 km, indicating only modest cross-regional movement; (3) pronounced clustering in major eastern coastal urban agglomerations, contrasted with a broader and weaker distribution in the west; and (4) regionally differentiated constraints—HED in eastern China is jointly driven by economic scale, market demand, and innovation investment, while the central region exhibits no stable dominant driver, the western region remains primarily constrained by economic scale and consumption conditions, and the northeastern region is increasingly shaped by demographic structure and consumption dynamics. These findings indicate that the spatial differentiation of HED is jointly shaped by economic, demographic, industrial, and innovation-related factors. For sustainability-oriented governance, the findings suggest that narrowing gaps requires moving beyond scale expansion toward targeted capability building, cross-regional collaboration, and institutional reforms that improve peripheral regions’ capacity to convert inputs into sustained quality and outcomes. Data granularity remains a limitation; future research should integrate micro-level data and comparative evidence.