| 摘要: |
| 利用第一手的农户调查数据，采用Binary Logistic模型，从信息成本、学习成本、生产成本、风险成本4个方面，分析了影响农户农业废弃物循环利用行为的关键因素。结果表明：1）肥料化（23.17%）仍是目前农村主要的农业废弃物循环利用方式，同时能源化（20.10%）、基质化（15.50%）等新型循环利用方式也日渐得到重视；而另一方面，农业废弃物遗弃比例也较高（26.75%）。2）信息成本、学习成本、生产成本是影响农户农业废弃物循环利用行为的重要因素。具体而言，以信息资源可得性表征的信息成本、以农技指导员的帮助和技术培训的作用表征的学习成本、及以劳动力资源和经济条件表征的生产成本均对农户是否进行农业废弃物循环利用产生了显著的正向影响。3）推进信息化建设、重视农技指导员的入户服务与技术培训工作等有助于降低农业废弃物循环利用成本，改善农户农业废弃物循环利用行为。 |
| 关键词: 农户 农业废弃物 循环利用 成本分析 |
| DOI：10.11841/j.issn.1007-4333.2014.04.34 |
| 投稿时间：2013-11-04 |
| 基金项目:国家自然科学基金重点项目（71333006）；国家自然科学基金面上项目（41371520，71273105）；中央高校基本科研业务费专项（2012RW002）；湖北省高等学校优秀中青年科技创新团队计划（T201219） |
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| Empirical study on the impact of cost on agriculturalwaste recycling behavior |
|
FENG Jun-hui1,2, ZHANG Jun-biao1,2, HE Ke1,2
|
| (1.College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China;2.Hubei Rural Development Research Center, Wuhan 430070, China) |
| Abstract: |
| Based on first-hand household survey data,Binary Logistic model was applied into the analysis of the impact of cost on agricultural waste recycling behavior in rural areas in information cost,learning cost,production cost and risk cost.The results were as follows.1) Fertilization (23.17%) was still the main recycling method in rural areas,and new recycling methods such as using as energy (20.10%),matrix (15.50%) were getting increasingly attention,whereas a high percentage of agricultural waste was discarded (26.75%).2) Information costs,learning costs and production costs were all important factors affecting farmers' agricultural waste recycling behavior.Specifically,information cost characterized by availability of information resource,learning costs characterized by assistance of agricultural technology instructor and role of technical training in learning,and production cost characterized by labor force and economic conditions had significant positive impacts on farmers' recycling behavior.3) To strengthen informatization construction and emphasize agricultural extension services and technical training were helpful to reduce the cost of agricultural waste recycling and increase its probability of adoption. |
| Key words: farmer agricultural waste recycling cost analysis |
