Dataset on Behavioral Distortions Affecting Farmers' Crop Diversification Decisions

Based on a qualitative analysis conducted using QDA Miner Lite software, data extracted from nine studies examining behavioral distortions among farmers in relation to their resistance to adopting crop diversity has been compiled. These studies sourced from literature have yielded a total of 36 statements from farmers, each representing various cognitive biases categorized with codes D1 – Endowment effect, D2 – status quo bias, D3 - anchoring, D4 – hyperbolic discounting, D5 – bounded rattionality, and D6 – cognitive distortion. The statements, initially in textual form, were organized into a structured table format for comprehensive analysis and comparison across different studies. This approach facilitates a detailed examination of how farmers' perceptions, decisions, and practices are influenced by cognitive biases such as the endowment effect, status quo bias, cognitive distortion, hyperbolic discounting, bounded rationality, and anchoring. The table serves as a framework for understanding the complexities and challenges farmers face in transitioning from monoculture to diversified cropping systems, shedding light on the psychological and practical barriers that hinder agricultural innovation and sustainability efforts globally.本数据集基于使用QDA Miner Lite软件开展的质性分析构建，整合了9项探究农民行为偏差及其对作物多样性采用存在抗性的相关研究所提取的原始数据。上述研究均来自公开学术文献，共收集到36条农民表述文本，每条对应经D1至D6编码分类的各类认知偏差：D1为禀赋效应（Endowment effect），D2为现状偏差（Status quo bias），D3为锚定效应（Anchoring），D4为双曲线贴现（Hyperbolic discounting），D5为有限理性（Bounded rationality），D6为认知扭曲（Cognitive distortion）。这些初始以纯文本形式存在的农民表述，已被整理为结构化表格，以支持不同研究间的全面分析与横向对比。该框架可用于细致探究农民的认知、决策与实践如何受到前述各类认知偏差的影响。本表格作为研究框架，有助于理解农民从单一种植模式向多样化种植系统转型过程中面临的复杂困境与挑战，进而揭示阻碍全球农业创新与可持续发展进程的心理与实践层面障碍。