Humans currently face a problematic ecological dilemma regarding economic growth. It is difficult to meet human needs by only studying economic growth created by artificial costs, and all countries need to pay attention to the task of improving the level of human welfare under the constraints of an ecological environment from the perspective of sustainable development. The focus of ecological wellbeing performance (EWP) is how to achieve the maximum welfare level output or achieve higher welfare level improvement with the fewest conversions of natural and ecological inputs. In this paper, we use the super-efficiency SBM model to measure the EWP of Chinese provinces and cities, traditional and spatial Markov probability transfer matrices are established based on time series analysis and spatial correlation analysis of the global Moran’s index, and the characteristics of the spatiotemporal variations of EWP are analyzed by comparing the matrices. The evolution trend for a certain future period is predicted, and the influences of geographical spatial patterns on the spatiotemporal evolution of EWP are discussed. On this basis, according to the calculation and analysis of the characteristics of China’s EWP, provinces and cities in China need to focus on improving their own resource utilization efficiency and strengthen environmental supervision to improve EWP. Finally, policy recommendations are put forward. First, special laws and regulations need to be introduced for resource utilization and ecological protection. The second recommendation is to promote and improve the mechanism of public participation in the rational utilization of resources and protection of the ecological environment. The third recommendation is to establish a dynamic monitoring system for resource utilization and ecological environmental protection. The fourth recommendation is to strengthen structural adjustment and accomplish high-quality economic development.

Various forms of agricultural subsidy policies often have a significant impact on the development of the agricultural economy and also shape the differentiated spatial pattern of regional agricultural economic resilience, while research on the evolution process of agricultural economic resilience and its influencing mechanisms is still very scarce. This study is based on the impact of China’s cancellation of the temporary corn storage policy on corn prices in 2016. By using an economic resilience analysis framework, we selected the indicators of total agricultural output value and disposable income of farmers to measure the agricultural economic resilience of various cities in Jilin Province and analyzed the characteristics and causes of the spatio-temporal change in agricultural economic resilience in Jilin Province from 2008 to 2021. The results show the following: (1) The transition from price and subsidy integration policy to decoupled subsidy policy helps to shape stronger regional agricultural economic resilience, but due to factors such as farmer policy dependence, low international corn prices, severe oversupply in the domestic corn market, and the suddenness of policy changes, there was a short-term decline in agricultural economic resilience in Jilin Province in the early stage of the decoupled subsidy policy (2016–2017), which rapidly increased after 2017. (2) The agricultural economic resilience levels of cities in Jilin Province showed different spatial differentiation characteristics at different stages within the study period, and the central region, as an important corn production area in Jilin Province, had significant changes in agricultural economic resilience. (3) During the execution of the price and subsidy integration policy, the enhancement of agricultural input capacity and agricultural output capacity helped to improve regional agricultural economic resilience; during the execution of the decoupled subsidy policy, the government’s support for agriculture and the potential of rural markets had a significant impact on the improvement of agricultural economic resilience. At the same time, the interaction and enhancement effect between influencing factors also had a profound impact on agricultural economic resilience.

In this study, we constructed a new database to investigate the complex relationship between hazy weather, heightened air pollution concerns due to elevated PM 2.5 levels, and residents’ well-being in China. Our study concludes that the results of the baseline regression showing that PM2.5 significantly increases the well-being of the population is at odds with common sense, which is attributed to potential endogeneity issues, including reverse causation and omitted variables. For this purpose, first, we used the instrumental variables method to exclude the endogeneity problem and obtained a causal relation between objective air pollution and well-being, that is, objective air pollution significantly and negatively affects residents’ well-being. Second, we also considered the effect of individual differences and verified the mechanistic pathways by which objective air pollution affects well-being through residents’ subjective air pollution. Specifically, we found that in the air quality evaluation process, “pessimistic” residents have a lower level of well-being, and “optimistic” residents have a higher level of well-being. Finally, we verified that the level of household income can weaken the negative impact of objective air pollution on residents’ well-being and has a positive moderating effect. By integrating macro and micro-level data through innovative technology, our research provides policy recommendations for effective pollution management and improved overall well-being in China.

Farmland transfer (FT) is the key to achieving moderate agricultural scale management in China. Clarifying the spatial pattern of FT is important to improve FT strategies. In this study, the multinomial logit model was used to reveal the spatial pattern of FT in Liaoning Province, Northeast China. On this basis, the reasons for its formation were discussed, and suggestions were proposed. According to the statistical results, 39.7% of the sample peasant households participated in FT. Most of them live far from the regional core area. Regression analysis shows that the FT in Liaoning Province has a significant “core-periphery” spatial pattern. As the spatial distance between the residence and the regional core area (SDRRC) increases, the probability of FT rises for peasant households. Specifically, the odds ratios of farmland transfer out and farmland transfer in rise by 0.9% and 0.6% on average, respectively, for each 1 km increase in SDRRC. Widespread concurrent business and the increase in FT fees due to imperfect urbanization are the main reasons for the formation of the spatial pattern. We suggest that the promotion of FT requires high-quality urbanization in central cities, accelerating urbanization in medium and small cities and counties, implementing differentiated FT subsidy standards, and promoting new agricultural scale management models.