Yunxiao Bai , Cheng Chen , Xiaoshuang Li , Moucheng Liu
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引用次数: 0
Abstract
CONTEXT
Integrated farming systems provide high protein and energy yields per unit of land and increase farm income, particularly for smallholder farmers in land-scarce areas. However, the adoption rate by farmers is low, and some farmers discontinue after adoption (relapse).
OBJECTIVE
We have three objectives, first, to subdivide the adoption stages of farmers and explore the influencing factors that affect each stage. Second to examine the factors that lead farmers to relapse. Third to test the similarity between these factors.
METHODS
In this study, we applied a modified transtheoretical model of behavioral change combined with key concepts from the theory of planned behavior to data collected from farmers adopting an integrated rice–fish system in Sanjiang County, China.
RESULTS AND CONCLUSIONS
We refined the adoption process into four progressive behavioral stages (pre-contemplation, contemplation, pre-maintenance, and maintenance) and an additional unexpected stage (relapse). As the stages progressed, the effect of family farm income transitioned from negative to positive. In all stages, farmers with stronger perceived behavioral control over finance and technology were more likely to change to more advanced stages. Factors such as attitude toward economic benefits, subjective norms, government and policy evaluations, and family laborers is related to farmers' relapse. We also demonstrated that the factors incentivizing farmers to progress to more advanced behavioral stages were not the same as those leading to relapse. Thus, policymakers must consider and address these inconsistencies.
SIGNIFICANCE
This study provides new insights into integrated farming adoption and relapse and has implications for designing intervention policies for farmers at different behavioral stages.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.