With the development of the economy and society, environmental pollution and resource waste problems are emerging, especially in agricultural production, and the adoption of ecological agricultural technologies is a prerequisite to alleviate ecological pressure. Based on the Technology Acceptance Model—Theory of Planned Behavior (TAM-TPB) and using research data from Hubei, Hunan, and Anhui provinces, this paper empirically analyzes the factors influencing farmers’ intention to adopt rice and shrimp crop technologies using the PLS-SEM method. The configuration path of high technology intention was further investigated by the fsQCA method. The results showed that: 1) farmers’ intention to adopt rice-shrimp crop technology was mainly positively influenced by behavioral attitude, subjective norm, perceived behavioral control, behavioral attitude; 2) Perceived usefulness and perceived ease of use had a direct effect on farmers’ intention to adopt and an indirect effect with behavioral attitude as a mediating variable, while perceived ease of use had a positive effect and perceived usefulness did not. In doing so, four configuration paths of high technology acceptance intention were obtained. Given this, this paper makes relevant suggestions, suggesting that the relevant departments focus on the comprehensive benefits of rice-shrimp crop technology; agricultural technology departments provide technical assistance to farmers, and village committees organize regular inter-farmer exchanges.

This study investigates the environmental protection behavior of farmers in the Guanzhong Plain region and the factors influencing their participation, in order to improve the enthusiasm of farmers’ participation and promote the formation of “good governance” in rural ecological environments. Based on interviews with 295 farmers, the influence of psychological cognitive factors on farmers’ intention and behavior to participate in environmental protection was analyzed using partial least squares structural equation modeling under the extended theory of planned behavior, and the moderating effect of policy environment in the relationship between farmers’ intention to participate and participation behavior was revealed. The research results show that: (1) The current situation of farmers’ participation in environmental protection is generally characterized by “strong intentions and weak actions”. (2) Participation consciousness and benefit perception have a greater impact on farmers’ intention to participate in environmental protection, perceived behavioral control has a smaller impact, and subjective norms do not have a significant impact. (3) Perceived behavioral control and participation intention have a greater influence on farmers’ participation in environmental protection behavior, subjective norms have less influence, and there is no direct influence of perceived benefits and participation awareness on farmers’ participation behavior, i.e., farmers’ participation intention has indirect influence on participation behavior. (4) The moderating effect of policy environment indicates that policy environment has a significant positive effect on the relationship between farmers’ participation intention and participation behavior.

The effective use of agricultural digital services can promote the transformation of agricultural production methods and actively promote the development of agricultural economy. However, in the process of agricultural production and operation, farmers are difficult to use agricultural digital services and are still at a disadvantage in the use of information. The rapid development and promotion of agricultural digital services provide opportunities for farmers to cross the “digital divide” and obtain “data dividend.” Based on the extended technology acceptance model, this paper uses the partial least squares structural equation model to empirically analyze the key influencing factors of farmers’ agricultural digital service use behavior. The research shows that farmers’ agricultural digital use behavior is mainly affected by two key factors: adoption intention and facility conditions. Among them, adoption intention has a more significant impact on use behavior. At the same time, adoption intention is affected by performance expectation, social influence and data quality, which is an important pre-factor affecting behavior.

The rapid development of high-standard farmland construction has triggered explosion of farmland cultivated land protection technologies in recent years. Contemporary, eco-friendly fertilization technology (EFFT) are rapidly becoming main force to achieve food security and promote the national ecological strategy. Hence, based on the extended stimulus-organism-response (S-O-R) theoretical analysis framework, this empirical research 295 field interview data of farmers in the high standard farmland grain main production area in Shaanxi Province, a developing country context, to analyze the mechanism of external incentives on farmers’ eco-friendly fertilization technology adoption behavior, further tested to examine the mediating effect of intrinsic perception and moderating effect of the family endowment. We applied the methodological approach, partial least square structural equation modeling (PLS-SEM), to test the hypothetical model. The results show that external incentives can effectively improve farmers’ technology adoptive behavior; internal perception has a significant positive effect on adoptive behavior, and it plays an intermediary role between external incentives and eco-friendly fertilization technology adoption behavior; family endowment has a significant positive effect on farmers’ technology adoption behavior, but the moderating effect of family endowment in external incentive-technology adoption behavior relationship is not significant. Therefore, we should choose appropriate and flexible government regulations, and give full play to the role of premium incentives, so as to improve the motivation of farmers to adopt eco-friendly fertilization technology.

This paper takes 36 unicorn enterprises in China as a sample case. Based on the perspective of open innovation and knowledge, combined with the background of the transformation and development of China’s digital economy, the antecedent conditions such as the three dimensions of knowledge integration ability, the two dimensions of open innovation and knowledge sharing are integrated by using configuration thinking and fuzzy set qualitative comparative analysis (fsQCA) method. The multiple concurrent factors and causal complex mechanisms affecting innovation performance are discussed. The results show that: 1) The different dimensions of knowledge integration capability, open innovation, and knowledge sharing have six configurations to achieve high-level firm performance; 2) Different knowledge integration capabilities can all promote innovation performance; 3) knowledge sharing improves the management and utilization of knowledge, which is an important guarantee for improving innovation performance. The conclusion expands the innovation perspective of the matching of knowledge and open innovation, helps to understand the mechanism of innovation performance, and provides theoretical reference and beneficial enlightenment for enterprises to effectively improve innovation performance.