In recent years, China’s sub-healthy and aging populations have increased dramatically, giving rise to a series of health and wellness needs. People prefer health and wellness tourism activities instead of sightseeing tourism activities because of the increasing emphasis on safety and experience. Health and wellness tourism resources are a prerequisite for the development of health and wellness tourism. To critically reflect on China’s official tourism resource evaluation criteria, expert consultation was carried out by applying the Delphi method, and index weights were determined using the analytic hierarchy process. Through three rounds of expert consultation, a value evaluation system for health and wellness tourism resources was established and improved in three aspects: construction of an index system, selection of evaluation subjects, and grade discourse description, thus enhancing the feasibility and application value of the evaluation system. The system developed in this study not only enables a reflection on China’s official tourism resource evaluation criteria, but also presents a new approach in the value evaluation research of health and wellness tourism resources.

Against the background of “the emotional turn” in geography, the study of emotional identification is attracting increasing attention among researchers. Edible landscape resources can satisfy the emotional needs of teachers and students by enabling them to experience pastoral landscapes that carry cultural and landscape values to campus environments. Based on a questionnaire survey of 419 students and teachers at Chenggong University Town in China, this study improved the structural equation modeling (SEM) method to construct a model to analyze the emotional identification mechanism of the campus edible landscape. The research found that emotional identification played an intermediary role between perception and behavioral intention, manifested as an association mechanism in which surface values influence perception, perception influences emotional identification, and emotional identification influences behavioral intention. The emotional identification model revealed the relationship between teachers and students’ emotional identification and the value of campus edible landscape resources for the first time. It also uncovered the universality of the association mechanism in the research of emotional geography.

From the perspective of household economy, the application of a multiscale spatial econometric model to realize the objective evaluation of county-level poverty alleviation stability is a core issue in rural economics research. The improvement of economic income and livelihood conditions for small farm holders are significant manifestations of poverty alleviation stability. Quantitative evaluation of the county-level poverty alleviation stability can provide a scientific basis for the adjustment of rural economic policy and high-quality development of regional economy by the multiscale spatial econometric model. This study realizes the quantitative evaluation of county-level poverty alleviation stability by constructing the evaluation index system, taking five counties in China’s Yunnan Province as an example, using the exact 2242 survey datasets, and adopting the multiscale spatial econometric model. The main idea of the model is to obtain the score of poverty alleviation stability by weighted summing of dimensions on the basis of weight calculation of each evaluation index. Results revealed the following: (1) County-level poverty alleviation stability includes the stability of regional poverty alleviation and the stability of farmers’ poverty alleviation, which is mainly affected by the combined effect of five factors, including economic and ability status, cognitive level, supporting facilities, and social governance. (2) Based on the multiscale spatial econometric model, the overall poverty alleviation stability in the five counties is relatively low, with Zhaoyang District showing the highest stability, followed by Yiliang, Yuanyang, Honghe, and Gongshan. (3) Farmers’ poverty alleviation stability in all counties, except Zhaoyang, is higher than that in the region. County-level gross domestic product and fiscal revenue are the dominant factors affecting the stability of poverty alleviation in the region, while the dominant factors affecting the farmers’ poverty alleviation stability are the level of per capita net income and labor force proportion in the household population. (4) To enhance poverty alleviation stability, this study suggested enhancing the level of economic development in counties and strengthening the collective economy of the village, innovating the form of economic development of the village, taking the enhancement of the development capacity of counties, relying on resource advantages to actively develop special industries, and improving the stability and sustainability of income generation for farmers. Meanwhile, we propose to further improve the conditions of regional infrastructure and enhance the capacity of public services. The findings can help enrich the theoretical research system of rural economics, expand the scope of research on small-holder farming systems, and provide a reference for diversification of small farm holders economy, the improvement of agricultural farming technology, and the high-quality development of regional economy in China.

Urban form’s impact on the thermal environment is well studied, but a gap remains in understanding the boundary effect of natural geographic proximity on urban thermal conditions. For plateau cities’ unique environment, the urban block distance to Dianchi Lake (UB-DDL) and the urban block distance to forested mountain areas (UB-DFMA) were incorporated as natural factors influencing land surface temperature (LST). The results of the XGBoost model analysis revealed that while urban form, such as the normalized difference built-up index, building density, and vegetation cover, predominantly contributes to the LST, the influences of UB-DDL and UB-DFMA should not be overlooked. Furthermore, urban blocks within 5 km of Dianchi Lake and within 6.7 km of the forested mountain area are classified as effective cooling zones. This study combines local climate zone classification with boundary effects to provide unique insights for effectively mitigating the urban heat environment in plateau cities.

From the perspective of tourism space optimization, the application of computer technology in creating computational simulations of correlation effects in tourism space systems is a core issue in research related to ports and hinterlands. Using a computer simulation analysis of the gray correlation, taking Mohan port–Yunnan economic hinterland as an example, the relationship between Mohan port and the Yunnan economic hinterland was quantitatively measured based on the indicators of cross-border tourism from 2006 to 2020. The study aimed to identify the driving mechanisms behind the synchronized development of Mohan port–Yunnan economic hinterland. The results are as follows: (1) due to the influence of administrative interventions and the competition of the neighboring ports, the correlation between the Mohan port and the Yunnan hinterland from 2006 to 2020 showed a rising–falling trend; (2) the correlation between the Mohan port and Xishuangbanna prefecture showed an obvious fluctuating trend, and the original port–city development relationship evolved to a competitive status; (3) the degree of spatial correlation of the Mohan port–Yunnan hinterland system evolved in a north–south-central–south direction, with “border zone–central region–northern region” distribution characteristics; (4) the natural conditions of the location, national policies, competition of nearby ports, infrastructure and traffic conditions, and economic strength are the main driving factors affecting the correlation change between Mohan port and the Yunnan hinterland. These findings can help enrich the theoretical research system of buildings economics, and expand the application of computational decision-making support in tourism spatial optimization.