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### 滨海地区畜禽养殖户污染防治意愿影响因素及其响应机理—以盐城市为例

1. 江苏师范大学地理测绘与城乡规划学院,徐州 221116
• 收稿日期:2018-11-15 修回日期:2019-04-26 出版日期:2019-09-28 发布日期:2019-09-28
• 通讯作者: 刘丽丽（1984- ）,女,天津人,助理研究员,主要从事海岸带开发及其生态环境效应研究。E-mail: huanyin728@126.com
• 作者简介:徐新悦（1997- ）,女,江苏连云港人,硕士,主要从事畜禽养殖养殖户行为研究。E-mail: 1399303210@qq.com
• 基金资助:
国家自然科学基金项目（41701371）; 教育部人文社会科学研究一般项目（17YJCZH085）; 江苏省高校自然科学研究项目（17KJB170006）; 江苏省高等学校大学生创新创业训练计划项目（201610320043Z,201710320059Z）

### Analysis of factors influencing the willingness of livestock and poultry farmers to control pollution in coastal areas: A case study of Yancheng, Jiangsu

XU Xin-yue, YUE Meng-fan, LI Jian-guo, LIU Li-li

1. School of Geography, Geomatics, and Planning, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China
• Received:2018-11-15 Revised:2019-04-26 Online:2019-09-28 Published:2019-09-28

Abstract: The prevention and control will of the farmers is the basis for the treatment of the pollutants from livestock and poultry. Defining the key factors of it in the coastal areas and analyzing the formation mechanism of it are important for the formulation of effective policies. The willingness of farmers to control pollution is a subjective perception and is difficult to measure directly. Structural equation indicates potential variables or conceptualizes latent variables by corresponding measurable indices, and allows the existence of errors or residuals between external latent variables and internal latent variables. By combining regression analysis, path analysis, factor analysis and other methods, the equation can clearly analyze the role of independent variables on dependent variables and the interaction of dependent variables. So, this thesis, taking Yancheng city as an example and based on 121 livestock survey questionnaires, uses the structural equation model to analyze the formation mechanism and impact mechanism of farmers' pollution prevention will. The results showed that: (1) In terms of the overall effect, individual characteristics, environmental risk perception, health risk perception and social impact and perception all have a significant positive effect on farmers' willingness of pollution prevention. (2) The individual characteristics have a positive effect on the environmental risk perception and health risk perception, and have a covariant relationship with social impact and perception. At the same time, it indirectly influences farmers' will of pollution prevention and control through these factors. (3) The health risk perception of the farmers is the most important factor of pollution prevention. If the health risk perception increases 1 unit, the farmers' risk of pollution will increase 0.459 units. Among all the observable variables affecting health risk perception, the effect on human health perception was the greatest, being 0.835. The path of "human health perception → health risk perception → farmers' willingness to prevent pollution" can effectively improve regional livestock pollution prevention and control.