Abstract
Fertigation technology is key to solve water pollution and inefficient fertilizer use. However, some early techniques cannot adapt to the current situation of labor shortages and large-scale planting. Therefore, it is necessary to consider farmers’ willingness to adopt more adaptive techniques. Specifically, we focus on whether early technology adoption will hinder technology renewal and whether the factors affecting the adoption of early and latest techniques are consistent. Through theoretical analysis and a survey, we find that farmers’ endowments such as income and labor force only affect the adoption intentions to the high-cost technique (Intelligent Irrigation Control System), but not early techniques (Venturi injector and Differential pressure tank), while farmers’ information processing ability and information acquisition channels affect both. Finally, the results of Propensity Score Matching show that early technology adoption will not become an obstacle to technology renewal.
Highlights
The inefficient use of chemical fertilizer has always been a major cause of agricultural environmental pollution [1,2], and fertigation is regarded as an effective solution [2]
The Logit model requires that the Logit (p) (Ln(p/(1 − p)) is linearly correlated with independent variables [50]
We carried out the corresponding test through the scatter diagram
Summary
The inefficient use of chemical fertilizer has always been a major cause of agricultural environmental pollution [1,2], and fertigation is regarded as an effective solution [2]. Because of its significant advantages, some farmers have adopted simple fertigation techniques, such as the Venturi injector. With the advancement of urbanization and land marketization, labor shortages and large-scale planting have become new characteristics of China’s agriculture [4,5,6]. Fertigation techniques are not well adapted to these characteristics because of their small applicable area, artificial errors, and labor demand [7]. With as advantages its labor-saving characteristics and large-scale application, the Intelligent Irrigation Control System (IICS) has become a possible solution [9]. In view of China’s support for digital agriculture and the development of IICS, how to improve the adoption of it is an important topic [10]
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