China′s bid for the 2022 Winter Olympic Games will promote rapid development of domestic ski tourism. More than 10 provinces in the northern China list ski tourism as a new source of growth in the tourism industry. Formulating a scientific evaluation system is an important foundation for ski resort development. By referring to the conditions of existing international ski resorts, a comprehensive index system for evaluating ski resort development was developed based on natural factors, human factors, athletic sports, and popular ski tourism. The system was composed of one target layer, two indices, seven sub-indices and twenty-five basic indices. Based on data collected during a field investigation in 2012 and on a statistical model, the development conditions of the following ski resorts were quantified: Yabuli Ski Resort in Heilongjiang Province and Beidahu Ski Resort in Jilin Province in Northeast China, Wanlong Ski Resort in Hebei Province and Nanshan Ski Resort in Beijing in the northern China, and Silk Road International Ski Resort in Uygur Autonomous Region of Xinjiang in the northwestern China. The resulting index values of development conditions at Beidahu, Yabuli, Wanlong, Nanshan, and Silk Road International Ski Resorts were 0.304, 0.278, 0.270, 0.214, and–0.025, respectively. Various natural and human factors exert positive and negative effects on the development potential of ski resorts. The development conditions of the five ski resorts were inferior to those of first-class international resorts. Therefore, the development conditions of the five ski resorts should be improved with future construction.

Education for sustainable development (ESD) of protected areas is proposed to deal with global climate change and biodiversity conversation. It focuses on the “quality education” and “protection” of the United Nations’ sustainable development goals (UN SDGs), not only taking protected areas as the education place, but also as the theme and content of education. Based on cognitive-behavior theory and social emotional learning theory, this study constructs a “cognitive–emotion–behavior” dimension framework of ESD in protected areas, selecting Potatso National Park in Yunnan as a case study. Based on 529 valid visitor questionnaires, this study uses structural equation modeling to verify theoretical hypotheses, and analyzes the impact of ESD in protected areas on public cognition, emotion, and behavior. The results show that: (1) Cognitive and emotional factors jointly drive the behavioral intentions of ESD in protected areas, and social-emotional factors are slightly higher than cognitive factors; (2) Environmental knowledge, personal norms, nature connectedness, and places attachment positively affects behavioral intentions; (3) Indigenous knowledge has an impact on behavioral intentions through emotional mediation, and personal norms have an impact on behavioral intentions through direct effects; (4) Gender and visit frequency are important moderating variables in the ESD of protected areas. These conclusions provide the following suggestions for further development of ESD. First, by forming environment-friendly social norms and focusing on the mining and presentation of indigenous knowledge, the behavioral intention can also be enhanced to a certain extent; second, improving people’s emotion can also promote people’s behavioral intention, especially referring to optimizing nature connectedness, strengthening place attachment, and creating emotional connections; Third, specific groups of people should be taught specifically, and improve the supporting services of ESD.

China announced its first policy framework for the construction of a protected areas system centered on national parks in 2019. It is increasingly recognized that the intentions of local community residents to engage in environmentally responsible behaviors are essential to achieving biodiversity goals in area-based conservation. Using an extended theory of planned behavior that incorporates the emotional factors of “Awe” and “place attachment,” this research tested hypotheses and constructed a theoretical model regarding the environmentally responsible behavioral intentions of community residents within and outside Potatso National Park, a pilot park in the new Chinese protected area system. A quantitative questionnaire survey of residents yielded 503 valid responses, and structural equation modeling was used to test the theoretical hypotheses. The results show that Awe has a significantly positive effect on environmentally responsible behavioral intentions. It also has a significantly positive effect on Place Attachment and subjective norms, which also strengthen environmentally responsible behavioral intentions. In addition, Place Attachment was found to be an important mediating factor for the influence of Awe on environmentally responsible behavioral intentions. According to the general model, both rational and emotional factors drive the behavioral intentions of local residents. Moreover, the findings reveal that the regulating effect of Place Attachment plays a greater role among those whose livelihoods are more dependent on the natural environment, while subjective norms play a greater role among those whose livelihoods are less dependent on the natural environment. The results provide a useful theoretical basis and practical reference for the use of rational and emotional factors to drive environmentally responsible behaviors among residents in and surrounding national parks, and for the promotion of the role of protected areas in nature preservation and community development.

Being responsible for ensuring nature preservation, environmental interpretation raises people’s awareness of nature preservation as a form of public service, and enhance their environmentally responsible behavior. Based on the flow theory, this study proposes a conceptual model of environmental interpretation impacts on visit motivation, ecological experience, environmental attitudes, and environmental behaviors. Selecting the users (visitors) of environmental interpretation at Potatso National Park in Shangri-La, Yunnan Province, China, we obtained 568 valid questionnaires and used Amos software to analyze a structural equation model to verify the model. The results indicate that the environmental interpretation plays a significant role in enriching the public’s ecological experience, which is an intermediary variable in which visiting motivation influences environmental attitudes and guides environmentally responsible behavior. The research suggests that national parks should strengthen the environmental interpretation facilities experiential and available, and adjust the configuration of the existing interpretation media in the three-dimensional structure of theme, space, and time, considering the motivation of the public visits, enriching ecological experience, and inspiring service details.

Forest parks are key protected areas that protect biodiversity and important ecosystems with a high efficiency and low cost and have become an international research area of high interest. Eco-efficiency is an important tool to measure the sustainable development of natural protected areas and provides a valuable decision reference for policy-makers. This research constructs a comprehensive performance evaluation system for forest park ecosystems, economic systems, and environmental systems. The undesired output model (SBM), spatial analysis, and panel Tobit regression model are applied to measure and analyze the forest park eco-efficiency in 30 provinces and autonomous regions of the Chinese mainland from 1990 to 2019, as well as the temporal and spatial differentiation characteristics and their driving factors. The results show that (1) both the average level of eco-efficiency and economic efficiency of forest parks show a declining trend; (2) the eco-efficiency of forest parks shows high-efficiency zones in the northeast and northwest, medium-efficiency zones in the west, and low-efficiency zones in the middle region of the Chinese mainland; (3) forest parks in the eastern region with a higher-than-average efficiency are located in Tianjin and Zhejiang Province, while the western region with lower efficiency is located in Xinjiang, Inner Mongolia, Qinghai, and Gansu Province; and (4) the forest park tourism service quality has an important impact on forest parks’ eco-efficiency, but the entertainment activity has a significant negative impact on the eco-efficiency of forest parks. Finally, suggestions are proposed for the sustainable and green development of forest park ecological tourism.