Abstract
The development of green agriculture is an effective way to realize the sustainable development of agriculture, which is of great significance for guaranteeing national food security, improving the supply ability of agricultural products, promoting the healthy development of cultivated land, and realizing green development. Since the 18th National Congress of the Communist Party of China, China has proposed the establishment of a green-development-oriented agricultural support system, which intends to reverse the worsening of the agricultural ecological environment; however, in 2019, the input of agricultural chemical fertilizer still exceeded the international limit of the safe application of chemical fertilizer. In recent years, agriculture has surpassed industry to become the largest non-point source pollution industry in China, seriously affecting the rural ecological civilization construction and the advancement of green sustainable development coordinated. To analyze the key factors affecting the development of green agriculture, in this study, logistic binary regression analysis was used to measure the main factors affecting farmers’ green agricultural production willingness and green agricultural production behavior. The results show that a farmer’s age, land type, compensation for land transfer, technical service organization, related training, and economic and technological subsidies had significant effects on their green agricultural production willingness. The age of farmers, number of staff, risk of green agricultural production technology, technical service organization, and economic and technological subsidies were shown to have significant effects on the green agricultural production behavior of farmers, where the different factors influenced the behavior to different degrees. Based on the above findings, it is suggested that the Chinese government should help farmers to carry out agricultural green transformation through technical training, policy popularization, economic subsidies, and educational support.
Highlights
As a large agricultural country, China has solved the food problem for 22% of the world’s population by relying on 7% of the world’s arable land, and has made great contributions to the world’s food security [1,2]
After analyzing the willingness to engage in green agricultural production and the green agricultural production behavior of farmers, only the age of farmers, whether there was a technical service organization in the township, and whether the government provided economic subsidies and technical assistance, had an impact on both
The results show that the age of farmers had a great impact on the improvement and development of agricultural production technology, and the age of farmers limited the development of agricultural green technology to a large extent
Summary
As a large agricultural country, China has solved the food problem for 22% of the world’s population by relying on 7% of the world’s arable land, and has made great contributions to the world’s food security [1,2]. After the Third Plenary Session of the Thirteenth Central Committee, the Chinese government vigorously promoted the household production contract responsibility system—an agricultural production responsibility system in which farmers use the family as a unit to contract land and other production materials and production tasks to a collective organization In this way, past limitations have been resolved, and grain output has increased substantially, which has led to the development of the Chinese economy [3,4]. In the central and western regions of China, many agricultural laborers have left the countryside and flocked to the cities, leading to an aging agricultural labor force and agricultural operators In this case, the traditional farming mode cannot bring about efficient agricultural production benefits. This has caused serious land waste and pollution [5,6], with the ecological production environment in many rural areas being destroyed
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
