Abstract

Conservation tillage technology (CTT) provides a new solution to the problem of cultivated land protection. Using effective policy tools to ensure that farmers adopt conservation tillage technology is crucial to the sustainable utilization of cultivated land resources and the development of agricultural modernization. This study aims to explore the decision-making and the dynamic influence mechanism involved in using policy tools to influence farmers’ technology adoption behaviors by constructing a theoretical framework. Based on survey data of farmers in Liaoning Province, China, the Agent Belief–Desire–Intention (BDI) model is applied. The results show that the implementation of policy tools promotes farmers’ adoption of CTT, but different types of policy tools have different impacts on the decision-making behavior of farmers; a change in the intensity of the policy tools will also cause differences in farmers’ behavioral responses. In addition, policy tools must be implemented in a timely manner, as the number of farmers adopting CTT reaches the maximum within 2–3 years. Based on the above research results, in order to effectively promote farmers’ adoption of CTT, the government should pay attention to the role of information-inducing policy and set flexible policy subsidies and punishment standards.

Highlights

  • Cultivated land resources are essential for human survival and production and a non-renewable natural resource [1]

  • Research on farmers’ behavior and policy tools has attracted the attention of academics and politicians [14], and it is of great significance to explore the influence mechanism between policy tools and farmers’ technology adoption behavior

  • We further tested the consistency between the model prediction results and the actual survey results in a statistical sense, using SPSS20.0 statistical analysis tools, and using a hierarchical chi-square test method to test the results of the policy tool stimuli in the two groups

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Summary

Introduction

Cultivated land resources are essential for human survival and production and a non-renewable natural resource [1]. Since the beginning of the 21st century, the No 1 Document of the Central Committee of the Communist Party of China has repeatedly proposed and encouraged the implementation of conservation farming; the central government has made several investments to increase subsidies for the purchase of agricultural machinery; at the same time, the Ministry of Agriculture and other relevant departments have successively introduced straw burning control and reductions in pesticide and fertilizer usage. Such policies encourage farmers to shift away from traditional farming behaviors [12,14]. Research on farmers’ behavior and policy tools has attracted the attention of academics and politicians [14], and it is of great significance to explore the influence mechanism between policy tools and farmers’ technology adoption behavior

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