Agriculture is the foundation of every country’s survival and development. This paper analyzes the interaction between the business environment, agricultural opening-up and high-quality agricultural economy from the perspective of China’s provinces. According to the panel data of 31 provinces and municipalities in China from 2009 to 2019, the empirical analysis was carried out based on the panel vector autoregression (PVAR) model. The results show that there is a quantitative interaction between China’s business environment, agricultural opening-up and high-quality agricultural development, and the long-term time effect is very obvious. Specifically, (1) the impact of the business environment and the high-quality development of agriculture on itself is decreasing year by year. The agriculture opening-up itself has a strong impact and has always maintained strong stability. (2) The high-quality development of the agricultural economy has little impact on the business environment and the opening of agriculture to the outside world, but it has a certain stable and continuous effect. It is particularly important that the agricultural opening-up has an increasingly strong effect on the business environment and the high-quality development of the agricultural economy as time progresses. Therefore, we must always adhere to the agriculture opening-up. The regional business environment and the agriculture opening-up can jointly promote the high-quality development of the agricultural economy. The research results can provide a basis and reference for the central and local governments to formulate relevant agricultural development policies and provide a reference for relevant agricultural economic entities and enterprises.

For English as a Foreign Language (EFL) learners, English academic performance serves as a key determinant of their educational attainment and psychological well-being. While previous studies have pinpointed digital technology use, emotional intelligence, and learning engagement as key determinants of English academic performance, the specific mechanisms through which digital technology use impacts EFL students’ English academic performance via emotional intelligence and learning engagement remain underexplored. This study employed random sampling to investigate how digital technology use affects the academic performance of EFL students, with a particular focus on the mediating roles of emotional intelligence and learning engagement. We administered a survey to 931 EFL students (Mean = 17.52, SD = 0.531) in Yancheng City, Jiangsu Province, utilizing questionnaires that assessed digital technology use, emotional intelligence, and learning engagement. The relationships between these variables and academic performance were examined using structural equation modeling. The study revealed that: (1) Digital technology use has a positive and direct effect on the English academic performance of EFL students (p < 0.01); (2) Emotional intelligence mediates the relationship between digital technology use and English academic performance, with an indirect effect of 0.252 (95% CI [0.048, 0.600]); (3) Learning engagement mediates the relationship between digital technology use and English academic performance, with an indirect effect of 0.712 (95% CI [0.215, 1.252]); (4) Emotional intelligence and learning engagement jointly play a serial role in the relationship between digital technology use and English academic performance, with an indirect effect of 0.075 ( 95% CI [0.011, 0.231]). The findings provide empirical support for a more nuanced understanding of how digital technology can enhance the English academic performance of EFL students by shaping their emotional intelligence and learning engagement. Moreover, the findings suggest EFL educators can enhance students’ English academic performance by strategically incorporating emotion-regulation training through mindfulness exercises while implementing interactive digital tasks like collaborative projects, thereby leveraging the dual mediating effects of emotional intelligence and learning engagement in technology-enhanced learning environments.

Taking the Tarim River basin as the research object, the water footprint was calculated based on the water footprint theory based on the relevant data from 2008 to 2019, and the water resource evaluation system was constructed to analyze the water footprint and water resource utilization of the Tarim River basin from three levels of structure, benefit, and ecology. Based on the water footprint theory, the annual water footprint and GDP of Tarim River basin were used to construct the Tapio decoupling model, and the decoupling type between water resources utilization and economic growth was obtained. The relationship between water resource utilization and economic growth in Tarim River was analyzed by combining the decoupling type evaluation and water footprint evaluation. The internal benefit is poor, and the external benefit is good; The degree of water resource shortage is on the rise, and the self-sufficiency rate of water resources is large. On the whole, the decoupling strength increases gradually. Decoupling strength has obvious industrial influence characteristics. Based on the above research conclusions, the sustainable economic and ecological development of the Tarim River basin can be realized from two aspects: reducing water footprint and strengthening decoupling intensity.

The estimation of ecosystem service value of water resources in the Tarim River Basin is of great significance for resource allocation management and ecological protection. However, there is still no unified and complete evaluation method for the ecosystem service value of inland rivers in China. Based on the perspective of the whole value chain, this study classified its ecological service functions and divided 11 sub-categories into four categories (supply, regulation, culture, and support) as evaluation indicators to carry out the quantitative evaluation. The results showed that the total value of ecosystem services in the Tarim River Basin in 2018 was USD 96.0262 billion (10⁹), and the values of regulating function, cultural function, supporting function, and supply function were, successively from high to low, as follows: USD 38.7938 × 10⁹, USD 36.7204 × 10⁹, USD 19.6209 × 10⁹, USD 0.8911 × 10⁹, among which the value of regulation function was dominant.

As the largest inland river basin in China, the Tarim River Basin is an important energy base and a key cotton-producing area in China. Therefore, the harmonious development of water resources, energy resources and cotton resources in the Tarim River Basin is a lifeline for stable quality and efficient development in this region. In this paper, the water–energy–cotton system of the Tarim River Basin is constructed and the weight of each index in the system is determined by using the entropy method. On this basis, the comprehensive development index of each subsystem and the water–energy–cotton system is calculated to measure the comprehensive development level of each system. Then, the coupling relationship between the three resources is quantitatively analyzed by using the coupling coordination degree model, and the mutual influence and strength of interaction between each system are calculated. Finally, a fractional regression model is established to analyze the factors affecting the coordinated development of the water–energy–cotton system in the Tarim River Basin. The results show that the comprehensive development index of the Tarim River Basin fluctuates obviously and the comprehensive development level of water resource systems is higher than that of the cotton resource and energy resource systems, and there are regional differences between each subsystem and the comprehensive development index of water–energy–cotton system. The coupling coordination degree of the basin is the primary coordination on the whole; however, there are significant differences in the coupling coordination degree of each region. In terms of influencing factors, the area of soil erosion treatment and water consumption in ecological environments both play a positive role in promoting the coupling coordination degree, and population size and GDP will hinder the development of the coupling coordination degree to a certain extent.

The land system of state-owned farms in China is different from that in rural areas. Whether the land tenure of state-owned farms can play a role in protecting cultivated land is an important issue for the high-quality development of state-owned agriculture in China. This article develops a dynamic model to examine how land tenure influences farmers’ decisions on land improvement. It then analyzes this relationship based on cotton farmers’ household-level data from state-owned farms of Xinjiang in China. We applied methods that take into account the possible endogeneity of the land tenure. The results reveal that the stability of land tenure in the past will not affect the current behavior of farmers for they have a relatively stable expectation of current land tenure and a high degree of trust in the government and its policies. The intergenerational transfer of land tenure is not the key factor that affects farmers’ land conservation, and the relatively long-term duration of land tenure (possibly five years or more) during their careers is more important. Our findings also reveal that non-property factors, such as government intervention (e.g., technology promotion) that alleviates the limited rationality of farmers, cannot be ignored because they played a crucial role in past land improvement when land tenure was less stable.