The analysis of land use change (LUC) characteristics and the impact of policies related to urban ecological space is required to improve spatial planning and to support decision making regarding green infrastructure (GI) investment. This study employed Geo-informatic Tupu analysis and Fluctuation Potential Tupu analysis methods to analyze the characteristics of LUC in an urban ecological corridor (EC). To help understand the influence of land use policy on GI governance and support the optimization of spatial planning, we proposed a situation–structure–implementation–outcome (SSIO) policy cascade analysis framework. SSIO takes “place” as its starting point, then couples the local policy with the governance structure to promote the sustainability of urban commons governance. The results show that the land use type within an EC in the city is mainly cultivated land. However, between 2009 and 2019, cultivated land, construction land, and facility agricultural land all showed a decreasing trend, while forest land and garden land types underwent increasing trends. The LUC Tupu unit highlights the transition from cultivated land to forest land. Forest land has the greatest increase in area and accounts for 52.34% of the area of increasing land use. Cultivated land shows the greatest decrease in area and accounts for 70.30% of the area of decreasing trends. Based on the local policy situation of the metropolis, a land policy governance mechanism can be constructed by the establishment of a governance structure with local government as the core, using land consolidation as the platform, taking ecological spatial planning and inefficient construction land reduction as typical policy tools, and experimentally integrating the concept of Nature-based Solutions (NbS). In general, these findings may be applicable to other rapidly urbanizing cities around the world that are developing complex land use policies for ecological space governance.

Rural collectively owned commercial construction land marketization (RCCCLM), a land policy that is still being piloted despite being allowed by law, has been regarded as an indispensable policy tool that can meet the land demand for rural development. This study aims to analyze the typical modes and key paths of RCCCLM for rural transformation theoretically and practically. We developed an innovative theoretical framework of “Situation-Structure-Implementation-Outcome” to illustrate the relationship between RCCCLM and rural transformation. By tracing the process of the impact of RCCCLM on rural transformation in typical areas, this study fills the gap in existing research that has not yet explored the theoretical mechanisms between RCCCLM and rural transformation. The results show that a combination of such factors as geographical location and rural land use status brings about three major ways of RCCCLM, namely, local marketization, adjustive marketization and consolidation-based marketization, to promote rural transformation. The influencing mechanism of RCCCLM on rural transformation mainly concerns rights granting, rural land use structure reshaping, the transformation of farmers’ livelihood and improvement in rural governance capacity. Rural transformation follows a basic rule and phased characteristics of evolving from single function to multiple functions, and RCCCLM displays a differentiated driving effect on the evolution of rural functions in different stages of rural development. These findings will provide new insights into rural land use and rural transformation in China and other developing countries and help solve the bottlenecks in rural transformation.

Both the resource environmental carrying capacity (RECC) and supply-side reform are crucial for achieving sustainable national developments. However, current research on RECC lacks consideration of the supply-side industrial structures and factors, and the relationship between RECC and supply-side reform remains unrevealed. In order to measure the RECC in China at the provincial level from 2005 to 2019, this study constructs an evaluation index based on industrial structure. It utilizes the TOPSIS model coupled with the supply-demand balance method and environmental capacity method while gathering and summarizing the indicators related to natural resource support, socio-economic support, and environmental factor accommodation. The analysis of evolutionary characteristics and spatial heterogeneity is carried out by statistical and spatial econometric methods, and the impact of the supply-side reform policy on RECC is examined using a bidirectional fixed-effect model. The findings indicate the following: (1) China’s RECC demonstrates a clear upward trend, with higher values in the west and lower values in the east. The average annual growth rate from 2016 to 2019 (18.12%) is nearly three times that of the period from 2005 to 2010 (6.28%), indicating a significant acceleration in the increase in RECC post-supply-side reform. (2) The spatial agglomeration of RECC and its sub-system support is observed, as the allocation of nature resources and markets promotes the convergence of regional differences and enhances the spatial convergence of the RECC. (3) The implementation of supply-side reform policies has a positive impact on RECC, with industrial upgrading playing a particularly significant role. This study provides a new idea and method for the selection of evaluation indicators, quantitatively assessing province-level RECC and understanding the potential effects of national supply-side policies on RECC.