Green intelligent building materials is an effective way for building materials industry to reduce carbon. However, a small amount of research and development (R&D, unstable R&D investment and imperfect collaborative innovation mode hinder the development of green intelligent building materials industry. However, few scholars study the development mechanism of green intelligent building materials industry from the perspective of industrial chain considering the above obstacles. In this study, the game models under market mechanism and government regulation were constructed to analyze the income distribution mechanism for the development mechanism of green intelligent building materials industry. Finally, the questionnaire method was used to discuss the game strategy of collaborative innovation behavior among agents. The results are as follows. In the game strategy selection of collaborative innovation behavior among green intelligent building materials, factors such as database marketing maturity, information flow and technology volume generated by collaborative innovation, technical benefit coefficient, social benefit coefficient and profit and loss barrier factors are conducive to the collaborative innovation behavior of green intelligent building materials. When the market mechanism fails, the incentive effect of cost subsidy adopted by the government is more efficient and fast, and the driving force of achievement reward is more lasting. The combination of the two incentives is the best. Moderate supervision and punishment lower than the free rider income can not ensure fair competition among green intelligent building materials enterprises. The punishment above the threshold can effectively restrain the negative impact of free rider income and prospect profit and loss. This study not only theoretically expands the development theory of digital industry from the perspective of industrial chain by considering the maturity factor of database, but also provides policy guidance for the development of green intelligent building materials industry in practice.

Due to the rapid development of the economy, science, and technology, we have noticed a trend where less and less attention is being paid to the modernization and development of labor and reading concerning agricultural teaching methods. Using the entropy weight method and the analytic hierarchy process, this paper empirically evaluates the practical aspects of interdisciplinary farming at agricultural colleges. In addition, it analyzes problems with current practical teaching methods from the perspectives of curriculum materials, practical education, educational platforms, and teachers. We also put forward corresponding ideas and suggestions for practical teaching methods related to interdisciplinary farming. The results show the following: ⅰ) A student's sense of responsibility to develop agriculture should be cultivated by integrating the cultural elements of agriculture with science curricula. ⅱ) Faculties with knowledge of interdisciplinary practices should be set up to improve students' abilities regarding practical activities. ⅲ) A practical teaching platform should be established to provide conditions for interdisciplinary integration. ⅳ) The previous conclusion requires schools to cultivate high-level teachers to maximize their leading role; only in this way can the process of agricultural education be comprehensively promoted. In this paper, by studying practical farming teaching methods at agricultural colleges and universities, we found that farming culture can be enhanced by educational culture. The cultivation of agricultural talents in the new era can be aided by helping students understand and appreciate agriculture, and by disseminating farming culture, agricultural talent can be cultivated among these students. Furthermore, this study focuses on cultivating excellent talent in terms of technical agriculture and rural management, thus combining theory and practice, which will promote the spirit of labor among students, as well as professional quality. This will ensure the constant innovation of agricultural and nonagricultural professional services for agriculture, rural areas, and farmers.

With China's economic growth, energy-economy-environment (3E) issues in rural areas have become more prominent. As key areas for energy consumption and environmental protection, analyzing the influencing factors of the 3E system in rural areas is crucial. We constructed and analyzed the rural 3E model using clustering and examined the relationship between scientific and technological talent, the economic level of rural residents, and 3E development through principal component regression. The findings showed: (1) Overall improvement in 3E development, with coastal and non-coastal areas showing significant differences; (2) room for energy improvement, rapid economic growth, and more balanced environmental development in some regions; (3) scientific and technological talent and economic level significantly impacted 3E development; and (4) in coastal areas, talent development had a greater impact, while in non-coastal areas, both talent and economic development had comparable effects. Moreover, 1-unit increase in talent development in coastal areas boosted 3E development by 0.12 units, while in non-coastal areas, talent and economic level increased 3E development by 0.04 and 0.06 units, respectively.