Exploring the sensitivity of rural households’ livelihood strategies to livelihood capital is of great significance for improving rural households’ livelihood levels. This paper selects 23 livelihood capital measurement indicators and conducts an in-depth survey of rural households. In addition, the entropy method and a weighted comprehensive model are used to explore the basic characteristics of rural households’ livelihood capital in the upper reaches of the Min River, China, in 2017. Furthermore, econometric models are used to analyze the sensitivity of rural households’ livelihood strategies to livelihood capital. As indicated from the research, the livelihood capital levels of different types of rural households in the study area are not equivalent. The types of rural households with different livelihood strategies can be ordered in terms of quantity as follows: non-agricultural type > non-agricultural dominant type > agricultural dominant type > pure agricultural type. Livelihood strategies have different sensitivities to different livelihood capital measurement indicators. Among these indicators, cash income, the number of relatives and friends available for financial assistance, and the number of civil servants have positive effects on the livelihood strategy selection of non-agricultural dominant rural households and non-agricultural rural households. However, the average age of laborers, area of cultivated land and gardens, number of livestock and poultry, and present value of production tools have negative effects. These evaluation results can provide a scientific decision-making basis for the formulation of poverty alleviation policies by relevant government departments.

Regional ecological protection is an urgent task in today’s social development, and constructing an ecological protection network is an important way to achieve regional ecological coordination. However, previous studies have lacked a systematic review and analysis of policy document transmission paths, failing to consider the spatial network structure and its complex characteristics of regional ecological protection policies, resulting in deficiencies in regional coordinated governance of the ecological environment. To address this gap, this study constructs an ecological policy transmission network lineage for the Chengdu Plain urban agglomeration (CDPUA) based on 400 ecological environmental protection policy documents issued by cities in the CDPUA from 2015 to 2022, focusing on the transmission perspective of policy documents. Social network analysis methods, a GIS spatial analysis, and other methods were employed to construct the ecological protection network of the CDPUA and analyze the complex spatial structure and characteristics of the network. It was found that the integrated ecological protection network of the CDPUA exhibits a multi-core triangular pattern with spatial characteristics of density in the east and sparsity in the west. The integrated ecological protection network has a density of 60.71%, indicating a strong intercity linkage, with Suining as the central nucleus transmitting policies to surrounding cities, forming the Suining–Chengdu–Mianyang policy transmission triangle. The urban agglomeration has formed an ecological protection network dominated by multiple cities, offering diverse and distinct types of ecosystem services. This study provides insights to enhance regional collaborative ecological governance and protection, promoting sustainable development in the region.

Quantitatively measuring the poverty vulnerability level of rural households in mountainous areas and the factors influencing the poverty vulnerability level is significant for China to consolidate the existing poverty alleviation achievements and prevent farmers in mountainous areas from falling back into poverty in the future. This study selects the upper reaches of the Min River, a typical poor mountainous area, as the research area and decomposes poverty vulnerability into two dimensions: consumption level and consumption fluctuation. Based on microsurvey data, this paper uses an econometric model to measure the poverty vulnerability of farmers who lived in the upper reaches of the Min River in 2023 and analyses its influencing factors. The results show that Edu, Laborer, and Land significantly impact rural households’ per capita consumption level in the future. Agri-shock, in terms of homogeneous risk, and Hea-shock and Hou-shock, in terms of heterogeneous risk, significantly impact rural households’ future consumption variance. Deposit weakens the poverty vulnerability caused by homogeneous risk (Agri-shock). Physicap and M can reduce the poverty vulnerability caused by homogeneous risks and heterogeneous risks. The research results have important practical significance for the establishment of risk and vulnerability early warning mechanisms in the new poverty alleviation strategy in the upper reaches of the Min River and other contiguous poverty areas and have important strategic guiding significance for the sustainable development of rural areas.