To accurately identify the land ecological security in the middle and lower reaches of the Yangtze River, we measured the land ecological security based on the PSR model, selected a total of 19 indicators, such as population density, and applied the methods of system evaluation value conversion, comprehensive evaluation value and coordination degree measurement to study the land ecological security in the region. Research findings: The comprehensive evaluation level showed that Jiangxi, Shanghai, and Hunan had comprehensive evaluation values according to the regional forefront. The subsystem evaluation level showed that Shanghai and Hunan had higher pressure subsystem evaluation values relative to other provinces; Shanghai, Zhejiang, and Anhui had higher state subsystem evaluation values relative to other provinces; and Jiangxi was much more responsive to land ecological security issues than were other provinces and cities in the region. The system coordination degree showed that the comprehensive evaluation value of land ecological safety and the coordination degree evaluation value of other provinces except Shanghai and Hunan showed a negative correlation, indicating certain land ecological safety problems in the region. Finally, suggested reflections based on the conclusions are presented.

Smartphones are increasingly used in rural areas and have become indispensable new farming tools in farmers’ production and their lives. Based on data from the 2018 China Household Tracking Survey, this study uses ordinary least squares regression with two-stage least squares as a benchmark regression to investigate the impact of the extent of smartphone use on farm household income. Our findings are as follows. ① The degree of use of new smartphone farming tools has a significant income-increasing effect on farm households. ② There is variability in the impact of the use of new smartphone farming tools on the income of farmers in different regions. The highest income-generating effects on the use of smartphone tools were found in the western region, followed by the eastern region, with the smallest effects found in the central region. ③ Low-income farmers have the highest income effects from using new smartphone farming tools. We therefore recommend further improving the digital infrastructure in rural areas to give full play to the driving force of digital technology.

Sustainable development is crucial for alleviating poverty among farmers. In this study, we examined the impact, and the mechanism underlying this impact, of the adoption of agricultural machinery services by farmers on their relative poverty from a multidimensional poverty perspective by employing the logit and ordered logit models and the Karlson-Holm-Breen (KHB) method. These results indicate that adopting agricultural machinery services can significantly reduce the probability of relative poverty among farmers, thereby expediting the sustainability of rural development. However, this poverty-reduction effect varies based on age and sex. The adoption of agricultural machinery services mainly reduces poverty by increasing farmers' human capital. Training in employment skills and non-agricultural work experience are the main transmission mechanisms. Therefore, the socialization of agricultural machinery services can be used as an effective policy tool to reduce relative poverty in developing countries, promote sustained improvements in farmers' incomes, and achieve sustainability in rural development.

As people’s awareness of the special functions of selenium continues to deepen, the development of selenium-rich food continues to develop, and selenium-rich places have been vigorously developing this resource-based industry. The development of selenium-rich agriculture is of great significance to improve people’s quality of life and promote agricultural, rural and regional economic development. This paper analyzes the factors affecting consumers’ willingness to purchase selenium-rich agricultural products in detail through questionnaire survey data of some consumers in Jiangxi, Ensh, Hubei and Ankang, Shaanxi, using three analytical methods of descriptive statistical analysis, factor analysis and logistic regression analysis with SPSS software. The research results show that consumers’ attitude toward selenium-rich agricultural products, price concerns, consumers’ family characteristics, health and environmental protection motives, gender and other factors have certain influence on consumers’ willingness to purchase selenium-rich agricultural products, among which the attitude factor and family characteristics have the greatest influence. Finally, the market prospect of selenium-rich agricultural products in China is analyzed and prospected, and the measures and suggestions for developing selenium-rich food are proposed in response to the problems of developing selenium-rich food in China.

The Giant Panda (Ailuropoda melanoleuca) is a flagship species for endangered wildlife conservation and is a specific relic species in China. Its habitat conservation has received widespread attention around the world. Since 2010, the phenomenon of an aging labor force gradually appeared within the Giant Panda Nature Reserve and its surrounding communities. Under the new labor force structure, households’ resource utilization behavior has had different characteristics, which has led an evolution in giant panda habitats. This study is based on a questionnaire and geographic data. It reveals the internal mechanisms of households’ resource utilization behavior impacting giant panda habitat patterns under the ongoing trend of labor force aging. The study shows that labor force aging has promoted rising ecological niche widths and falling ecological niche overlaps. These could drive a growth in giant panda habitat globally. From a spatial perspective, nature reserves with lower comprehensive ecological niche widths and higher ecological niche overlaps face greater conflict between conservation and development. However, the phenomenon of labor force aging mitigates these ecological conflicts to a certain extent.

Biotechnology assumes a paramount role in addressing micronutrient deficiencies. The promotion thereof and the augmentation of public awareness are indispensable for implementation. The advancement of big data presents challenges due to the plethora of information and the constrained processing capacity, thereby inducing difficulties in consumer decision-making. The study is obliged to intensify information dissemination to empower consumers to apprehend the value of selenium-enriched products as an integral constituent of positive nutrition guidance. The study undertook an experiment related to nutrition information acquisition, in which participants provided relevant interferences. The study utilized the structural equation model (SEM) and fuzzy set qualitative comparative analysis (fsQCA) to analyze the data. The study arrived at three research conclusions. Firstly, the furnishing of valuable information constitutes a significant factor in motivating consumers to purchase selenium-rich agricultural products. Secondly, the communication of brand information holds crucial significance in shaping the perception of product advantages and plays a salient role in the promotion and construction of selenium-rich agricultural products. Finally, the dissemination of health information can be incorporated into the process of promoting selenium-rich agricultural products. This conforms to the urgent necessity to address hidden hunger and establish a value identity.