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Exploring the complex dynamic relationship between urban–rural integrated development and land-use efficiency can contribute to most efficient urban–rural land-use and the rational promotion of urban–rural integrated development. This study established an evaluation model of urban–rural integrated development, adopted the super-efficiency SBM model to measure land-use efficiency, and studied the evolution of the spatial–temporal patterns of urban–rural integrated development and land-use efficiency coupling in the Yellow River Basin. We also examined the factors affecting them with the help of the coupling coordination degree model, non-parametric kernel density estimation, and geographic probes. The results indicate the following: (1) Within the study period, the coupled coordination of urban–rural integrated development and land-use efficiency was similar to the spatial distribution characteristics of land-use efficiency, both showing a "high at both ends and low in the middle" trend. (2) The coupled coordination increased over time; however, a lagging land-use efficiency was a crucial impediment to improving the coupling coordination degree. (3) Carbon emissions, urbanization rate, and per capita GDP were key drivers. The results of this study can provide a reference for local governments in the Yellow River Basin and other similar areas to propose paths to optimize the allocation of urban and rural land-use. [ABSTRACT FROM AUTHOR]

This study analyzes the spatiotemporal evolution and effects of regional functions in rural China and summarizes the spatiotemporal characteristics of rural Chinese regional functions from 2005 to 2015. The results of this study are as follows. (a) The values of the regional functions of rural China generally exhibit a "V‐shaped" distribution such that these values are high in eastern and western China and low in central China, and are high in northern China and low in southern China. (b) The overall functions of rural Chinese regions vary distinctly by region across northeastern China, eastern China, central China, and western China. (c) The spatial variation of regional production function values in rural China also exhibits a gradually declining trend, with the highest values in eastern China, followed by northeastern, central, and western China. This pattern exhibits a relatively strong coupling relationship with the spatial variation principles governing China's natural environment, resource carrying capacity, and economic development level. Overall, regional ecological function values do not exhibit any significant variation, but they do exhibit a gradually declining trend, starting from western and northern China and moving to eastern and southern China. (d) The degree of spatial spillover received by a given region from a neighboring region's production, living, or ecological function is stronger than the effect of the error shock from the corresponding function of the neighboring region. The effects of influencing factors on different regions exhibit significant variation. [ABSTRACT FROM AUTHOR]