In recent years, particularly, the expansion of tourism has become more and more prosperous, and along with it, the impact on the natural environment has become greater and greater. As a result of the continuous development of the economy, human activity is having a greater impact on the natural environment and agricultural depth. The desire to feel more connected to nature and life is leading an increasing number of people to relocate to more rural areas. Because of this, the management and preparation of rural tourism destinations are of utmost significance. This paper presents a study on the analysis of the benefits of the use of ecological and environmental resources driven by the development of leisure agriculture and rural tourism. The study was carried out by the Environmental Economics and Policy Group (EEPG). The primary purpose of this study is to conduct an analysis of the benefits of agroecological environment and resource use in Jilin Province in accordance with the evaluation system of resource and environmental benefits of leisure agriculture. This evaluation will be combined with an analysis of the current situation of resource use and will be based on the principle of net social benefits of resource and environmental supply. The results of the experiments show that the coupling degree of the agricultural economic system in Jilin Province from 2015 to 2021 is greater than 0.9, which places it in the category of high-quality coupling (0.9 ≤ C ≤ 1). The degree of synergy ranges from 0.54608 to 0.78358 and exhibits an upward trend, but it remains in the medium synergy stage (0.50 ≤ D ≤ 8). This paper carries out relevant research on ecological and environmental resource use, which is of great practical significance in promoting the rational use of leisure agricultural resources, and, ultimately, the long-term sustainable development of leisure agriculture. In addition, the paper presents an analysis of the benefits of ecological and environmental resource use promoted by the development of leisure agriculture and rural tourism.

Generative artificial intelligence (GenAI) is reshaping how tourists search for information and plan their trips, yet the psychological mechanisms underlying sustainability-oriented travel intentions remain insufficiently understood. Drawing on perceived value theory and trust theory, this study develops a dual-path framework linking tourists’ current engagement with GenAI for tourism purposes to their stated sustainable tourism decision intentions through perceived value and trust in AI. An anonymous online survey administered via Wenjuanxing recruited participants in China and yielded 956 complete questionnaires, of which 830 were retained after predefined quality screening. The four constructs—current GenAI engagement, functional perceived value, trust in AI, and stated sustainable decision intention—were operationalized using 14 theoretically aligned indicators. Standardized composite-score path analysis with 5000 bootstrap resamples revealed positive associations along both indirect pathways. The indirect association through trust (β = 0.113) was stronger than that through perceived value (β = 0.064), with a statistically significant bootstrap contrast (difference = 0.048, 95% CI [0.009, 0.088]). Given the cross-sectional and self-reported nature of the data, the findings are interpreted as conditional associations rather than causal effects or evidence of observed behavior. The study demonstrates that perceived functional benefits and confidence in AI-generated information are theoretically distinct yet jointly relevant to tourists’ sustainability-oriented travel decision-making.

This paper aims to fully tap the value of the tourism brand of Changbai Mountains scenic area, give play to the radiation effect of the brand, and create the Greater Changbai Mountains (GCM) tourist area, thereby enhancing the coordinated development of regional tourism. Specifically, symbiosis correlation and symbiosis density were adopted to recognize the tourism symbiosis units in the core region of GCM tourist area, and an evaluation model was established for the tourism symbiosis quality in the core region of GCM tourist area. Based on the evaluation results, the places within the core region were divided into multiple levels. The results show that the core region of GCM tourist area covers Yanji City, Dunhua City, Hunchun City, Antu County, Baishan City, Fusong County, Changbai County, and Tonghua City, and these places fall on three different development levels.