Despite many governments having actively promoted the importance of developing ecological agriculture, the participation rate of farmers remains relatively low. Therefore, exploring the factors that influence farmers to participate in agroecological cultivation is important. Here, our aim was to identify the intention to participate in eco-agriculture through an extended theory of the planned behavior model. We collected 409 samples using a systematic probability proportional sampling method in Tianzhu County, located in the Gansu section of the Qilian Mountain National Park, China. The results validated that farmers’ attitudes, perceived behavioral control, and subjective norms positively influenced their intention to participate in agroecology. The extended model introduces ecological value variables; if perceived behavioral control influences willingness to participate through the mediating variable of attitude, ecological values moderate the mediating role of attitude. Agroecological development in national parks should be promoted by strengthening agroecological communication and increasing environmental awareness among farmers. Our study expands the theoretical model of planned behavior, which can help policymakers better understand the factors that influence farmers’ participation in agroecological farming. It can also serve as a reference for the ecological development of agriculture in other protected areas.

Adjusting transportation structure to reduce the intensity of greenhouse gas emissions is an effective way to address climate change issues. This paper selects six transport sectors and constructs a hybrid input-output model to study the impact of transportation restructuring on the intensity of CO₂ and non-CO₂ greenhouse gas emissions in each sector during different periods. The results show that the effect of transportation restructuring on greenhouse gas emissions is manifested differently in different time periods. After 2008, transportation restructuring had a significant effect on reducing the intensity of greenhouse gas emissions in all sectors. However, the impact of transportation restructuring on the intensity of non-CO₂ greenhouse gas emissions is limited. It is also found that the railway transport sector has been a low-impact transport sector in terms of greenhouse gas emissions since 2004, which provides insights for the optimization of China’s transportation structure.

The Yellow River Basin is an important ecological function area and economic zone in China that faces the dual pressure of economic development and ecological protection. Industrial ecology designs industrial activities by imitating the ecosystem and would solve the dilemma in the development process of the Yellow River Basin. In this study, we evaluated the industrial ecology of 100 prefecture-level cities along the Yellow River Basin from 2003 to 2020 using the entropy weight method and analyzed their long-term spatial and temporal evolution trends. We also deconstructed the driving factors affecting the industrial ecology in the Yellow River Basin, regarding both internal and external aspects, using the coupled coordination model and the panel quantile model. We found the following: (1) The industrial ecology in the Yellow River Basin was slowly increasing in a “N”-type transformation trajectory, but the overall was still relatively low. (2) The slow improvement in ecosystem efficiency and the low coordination between the industrial system and the ecosystem are the main internal factors limiting the improvement in industrial ecology. (3) The population agglomeration, human capital accumulation, government guidance, and technology level are all important for improvements in industrial ecology in the Yellow River Basin. The impact of the financial level on industrial ecology in the Yellow River Basin was found to be negative. Therefore, it is necessary to take the correlation and coordination between the industrial system and the ecosystem as the main means and actively and positively promote the role of the external influencing factors to improve the industrial ecology in the Yellow River Basin.