| 基于分布式认知理论的农户面源污染治理支付意愿影响因素 |
| 摘要点击 1163 全文点击 178 投稿时间：2022-11-29 修订日期：2023-04-03 |
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| 中文关键词 面源污染治理 分布式认知 支付意愿（WTP） 意愿支付水平（WTPA） 双栏模型 |
| 英文关键词 agricultural non-point source pollution control distributed cognition willingness to pay（WTP） willingness to pay amount（WTPA） Double-Hurdle model |
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| 中文摘要 |
| 分析农户个体支付意愿是测算农村面源污染治理经济价值的重要基础，而确定农村面源污染治理的生态经济价值则是将农业生产外部性进行内部化的必要措施.从农户微观个体角度出发，在剖析农户认知影响因素层级关系基础上，构建以分布式认知理论为核心的农户面源污染治理支付意愿的理论分析框架.在此基础上结合陕西关中地区531份微观调研数据，运用双栏模型对农户面源污染治理的支付意愿与意愿支付水平的这一连续决策过程进行实证检验.结果表明：①具有面源污染治理支付意愿的农户数量为267，占样本总数的50.30%，意愿支付金额均值为1 469.77元·hm-2；依据调研样本意愿支付水平期望值可以测算出，2020年陕西省面源污染治理经济价值总额约为57.91亿元.②农户面源污染治理支付意愿会受到个人力、地域力和文化力的综合影响，各个维度作用力影响相差无几；农户面源污染治理的意愿支付水平主要会受到文化力因素的影响，个人力与地域力产生的影响十分有限.③按照收入水平进行分组回归的结果表明，个人力与文化力维度的影响因素在低收入群体中对于支付意愿具有较为显著的影响，但难以促成意愿支付水平的提升. |
| 英文摘要 |
| The analysis of the willingness of individual farmers to cover costs is an important basis for measuring the economic value of agricultural non-point pollution management， and determining the ecological and economic value of rural surface pollution control is a necessary measure to internalize the externalities of agricultural production. Based on the analysis of the hierarchy of factors influencing the cognition of farmers， this study constructed a theoretical framework based on distributed cognition theory to analyze their willingness to pay for agricultural non-point source pollution control from the perspective of individual farmers. On the basis of this framework， we used the Double-Hurdle model to empirically test the overall process of farmers'willingness to pay and their willingness to pay the amount for agricultural non-point source pollution control by combining 531 microscopic research datapoints in Guanzhong， Shaanxi Province. The results showed that： ① the number of farmers with willingness to pay for agricultural non-point source pollution control was 267， accounting for 50.30% of the total sample， and the average value of willingness to pay was 1 469.77 yuan·hm-2； the total economic value of agricultural non-point source pollution control in Shaanxi Province in 2020 was estimated to be 5.791 billion yuan based on the expected value of the willingness to pay level of the research sample. ② Farmers'willingness to pay for agricultural non-point source pollution control was influenced by the combined effects of personal， regional， and cultural forces， and the effects of each dimension were similar； farmers’ willingness to pay for agricultural non-point source pollution control was mainly influenced by the cultural force factor， and the effects of personal and regional forces were very limited. ③ The results of the regressions by income level showed that personal and cultural strengths had a significant impact on the willingness to pay among the low-income group but did not contribute to the increase in the willingness to pay. |
