Using the theory of motivation, and the theory of planned behavior, this study establishes the “motivation-cognition-behavior” model of green utilization of agricultural waste from the perspective of farmers. In the motivational dimension, eight motivational factors were determined in three sub-dimensions of extrinsic motivation. In the cognitive dimension, three sub-dimensions of subjective norms, behavioral attitude, and perceived behavioral control are also determined. In the behavioral dimension, two sub-dimensions of utilization intention and utilization behavior are specified. Methodologically, a questionnaire on the green utilization of agricultural waste of 704 peasant households in five provinces of Jiangsu, Anhui, Shaanxi, Gansu, and Sichuan was administered. With the help of the structural equation model, the influence path and the internal mechanism was then analyzed. It is shown that: (1) in relation to the “motivational dimension → cognitive dimension,” extrinsic motivation significantly promotes the cultivation of farmers’ subjective norms, in which positive broken windows theory has a positive effect. In contrast, negative broken windows theory has a negative one. In intrinsic motivation, the behavior attitude of farmers is negative. In the response analysis, farmers can realize that their ability, self-efficacy, response efficacy, and response cost all have a positive impact on farmers’ perceived behavioral control. (2) In relation of the “cognitive dimension → behavioral dimension,” behavioral attitude slightly hinders utilization intention, while subjective norms and perceived behavioral control all contribute to a stronger utilization intention; the utilization intention maintains a positive correlation with the utilization behavior.

The deep integration of information technology (IT) and the real economy contributes to China’s high-quality economic sustainable development. From the perspective of efficiency, this paper aims to build an evaluation index system, with 30 provinces in China from 2011 to 2017 being taken as the research objects, conduct static and dynamic analysis by using the super-efficiency data envelopment analysis (DEA)-Malmquist index, and draw a spatial distribution diagram to reflect its changes. This study reveals that the integrated development of information technology and the real economy is unbalanced in China. The eastern region performs better with a development slowdown, while the central and western regions lag behind with a lot of room for improvement. The effect of regional agglomeration is obvious, which can be evidenced by the fact that those provinces with a high-efficiency value produce a radiation effect on their neighboring provinces. On the whole, the total factor productivity is increasing annually, with the technical progress being the main factor that affects the total efficiency. According to the results, the countermeasures and suggestions are put forward in this paper to provide reference for a better sustainability development of information technology and the real economy.