(1) Background: Urban land ecological security is the basis and premise to ensure the sustainable utilization of urban land resources and regional sustainable development. However, urban land ecological security and its influencing factors have not been studied thoroughly. (2) Methods: An index system of urban land ecological security in Yunnan Province from 2010 to 2019 was constructed, and a comprehensive index of urban land ecological security was calculated by using analytic hierarchy process, entropy weight method, and comprehensive index method, and the LSDVC (Biased-corrected Least Square Dummy Variables) dynamic panel model was constructed from the economic, social and geographical dimensions to systematically analyze the influencing factors of urban land ecological security in Yunnan Province. (3) Results: The comprehensive index of urban land ecological security was significantly affected by the previous period, showing obvious inertia; with the improvement of urbanization level, the comprehensive index of urban land ecological security showed an inverted “U” shape, which first increased and then decreased; the decrease in comprehensive energy consumption per unit of industry and the improvement of fixed-asset investment level, science and technology level, and GDP will significantly promote the ecological security of urban land.

China’s targeted poverty-alleviation policy has eliminated absolute poverty and become the focus of world attention. However, a relative-poverty problem still exists in China, and the large urban–rural income gap is an important issue. Whether the implementation of the targeted poverty-alleviation policy has narrowed the urban–rural income gap, along with its specific effects, requires an accurate analysis, which is particularly critical in order for China to implement a rural-revitalization strategy and further eliminate relative poverty in the future. Given the problems and shortcomings of the existing studies, such as not passing the parallel trend test to overestimate the policy effect, in this study we refer to the previous results, and our analyses divide the 124 counties in Yunnan province into four categories: non-poverty counties and counties with grade-I, grade-II, and grade-III poverty. We selected the panel data of the urban–rural income ratio of each county along with eight influencing factors from 2011 to 2020 for difference-in-difference model (DID) analysis. In this study, we compare the four types of counties level-by-level, and we construct a full-sample spatial DID model. The estimated results, after excluding the impact of COVID-2019, are significant. In addition, we perform robustness and placebo tests and other work on the DID model. All of the results show that the implementation of the targeted poverty-alleviation policy has effectively reduced the urban–rural income ratio in areas experiencing poverty. Finally, we use the intermediary effect analysis method to explore the reasons for the findings: driven by the targeted poverty-alleviation policy, the financial investment in poor areas has substantially increased, further increasing the income level of rural residents in poor areas and thus promoting a notable reduction in the income gap between urban and rural residents in poor areas. We suggest that, although China has achieved comprehensive success in targeted poverty-alleviation, assistance investment still needs to be increased, policies must be adjusted, and income growth must be accelerated to achieve industrial prosperity.

(1) Background: Dianchi Lake is the largest freshwater plateau lake in southwest China. Since the 1970s, with the large-scale lake reclamation and rapid urbanization, the land use/cover of the Dianchi Basin has changed dramatically, directly hindering the sustainable development of the watershed. It is urgent to study the rationality of land use change in order to promote the “win-win” of eco-environment protection and sustainable economic and social development in Dianchi Basin. (2) Methods: The rationality judgment criteria of land use change in Dianchi Basin was constructed from ecological values, land suitability, laws and regulations, and the rationality of land use change in the Dianchi Basin from 1980 to 2020 was evaluated. (3) Results: The rational degree of land use change in the Dianchi Basin was 71.76%, and the level of rationality was low rationality. The rational degree of change in cultivated land, woodland, grassland, water area and construction land was 74.41%, 69.11%, 77.11%, 3.07% and 98.26%, respectively. Among the irrational land changes, 86.59% of the land had changed to construction land. (4) Conclusions: The main problems of irrational land change in the Dianchi Basin are the massive reduction in high-quality cultivated land, the degradation of woodland, and the unordered expansion of construction land. In order to achieve sustainable development, it is important to protect cultivated land, woodland, grassland and lakes.

The basic characteristics of mountain areas are that the innate ecological environment is relatively fragile, the acquired ecological environment is severely damaged and degraded, the whole economy and society are still relatively backward, and the degree of sustainable development is relatively low. At present, it has not been seen that land use sustainability evaluation (LUSE) research lasting for many years based on RS and GIS in mountainous provinces. It is urgent to build a suitable, feasible, operable and applicable LUSE system for mountainous regions so as to provide a basic foundation for strategic planning and management of sustainable land use in mountainous provinces. This study integrated “RS and GIS + multi-phase LUCC + LUSE theory and quantitative practical methods” based on mountain provinces, firmly grasped the basic characteristics of mountain areas—the vulnerability of ecological environment, and conducted the study on mountain LUSE. According to the outcomes of RS of land use in the study area in three phases (2000, 2010 and 2020), a comprehensive indicator system is established from the three dimensions of ecological friendliness of land use (EFLU), the economic viability of land use (EVLU) and social acceptability of land use (SALU). Using the Delphi method to determine weights and combining the AHP method and the comprehensive analysis method, this paper quantitatively measures the overall sustainability of land use (OSLU) of 129 counties in Yunnan province in 2000, 2010 and 2020, revealing the spatio-temporal characteristics of the OSLU of Yunnan province and all counties from 2000 to 2020, and aiming to provide a basic and foundation for strategic planning and management of sustainable land use (SLU) in mountainous provinces. The degree of ecological friendliness (D_EF), degree of economic viability (D_EV), degree of social acceptability (D_SA) and degree of overall sustainability (D_OS) in Yunnan province and all counties have been significantly improved. Accordingly, the OSLU has been improved to a certain extent, with a 0.66% annual growth rate. It indicates that the development and construction from 2000 to 2020 have significantly improved the OSLU. However, regional differences are large. At present, EFLU, EVLU, and SALU in Yunnan province are not high as a whole. The basic situation reflected that there are obvious deficiencies in EFLU, EVLU and SALU in Yunnan province. Land exploitation and use activities have caused certain influences and the destruction of the ecological environment.

(1) Background: Ecosystem service value assessment is a trending area of sustainable development research and ecological civilization construction. Ecosystems provide supply, regulation, support, and cultural services, and the value assessment of ecosystem services is helpful for people to understand the importance of natural ecosystems to production and life. Based on the insufficiency of the current research on the value of land ecological services, this paper discusses the research direction of the evaluation of the value of ecosystem services in the future, provides a reference for the evaluation of the value of ecosystem services, and promotes multi-scale and multi-directional research experiments on the value of land ecological services. (2) In this paper, the basic information data are obtained through the interpretation of remote sensing images, and the value equivalent factor is corrected according to the average grain yield per unit area and grain price data in 2000, 2010, and 2020 to calculate the land ecological service value. The relevant data obtained by processing the ecological service value are classified into different levels to discuss the changes and trends of 129 county-level administrative units in three periods and analyze the quantitative and spatial variation characteristics of the ecological service value of 129 county-level administrative units. The paper studies the spatial agglomeration state of the total value of ecological services and finds the hotspot areas of the land ecological service value in the study area. (3) During the study period, great changes have taken place in the land use pattern of Yunnan Province, with the area of construction land expanding and the area of wetland decreasing. The ecological service value level of 129 county-level administrative units is relatively stable. The total value of each service is ranked as soil formation and protection > gas regulation > water conservation > biodiversity protection > climate regulation > raw materials > waste treatment > entertainment culture > food production. In the three periods, Shangri-La City has the highest value of ecological services per unit of land and Wuhua District has the lowest. The value of ecological services per unit of land in 129 county-level administrative units continues to rise. The areas with high average values are mainly in western Yunnan, southwestern Yunnan, southern Yunnan, and southeastern Yunnan. (4) The development speed of land ecological service value in Yunnan Province is far less than the development speed of GDP. There is still a lot of room for the development of ecological service value in Yunnan Province. The economic influence of Kunming is radiating to various cities through expressways and high-speed railways. The spatial distribution of land ecological service value in Yunnan Province has a strong correlation, showing a pattern of spatial agglomeration distribution, and the clustered areas are very stable.