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2019 , Vol. 34 >Issue 9: 1974 - 1986

DOI: https://doi.org/10.31497/zrzyxb.20190913

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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

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  • 江苏师范大学地理测绘与城乡规划学院,徐州 221116
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

收稿日期: 2018-11-15

  修回日期: 2019-04-26

  网络出版日期: 2019-09-28

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）

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

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  • School of Geography, Geomatics, and Planning, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China

Received date: 2018-11-15

  Revised date: 2019-04-26

  Online published: 2019-09-28

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摘要

养殖户污染防治意愿是采取畜禽养殖污染物处理方式的基础。明确滨海地区养殖户污染防治意愿的关键因素,辨析污染防治意愿形成机理,对制定有效政策有着重要意义。以盐城市为例,基于121份调查问卷,运用结构方程分析养殖户污染防治意愿的形成机制与影响机理。结果表明：（1）个体特征、社会影响及感知、养殖户健康风险感知对于污染防治意愿有直接正向影响;（2）个体特征对养殖户环境风险感知、健康风险感知有正向影响,与社会影响及感知有共变关系,并通过这些因素间接影响养殖户污染防治意愿;（3）养殖户健康风险感知是影响滨海地区畜禽养殖污染防治意愿最主要的因素,借助路径：养殖对于人体健康影响的感知→健康风险感知→养殖户污染防治意愿可以有效提高区域养殖污染防治。

关键词： 滨海地区; 路径分析; 污染防治意愿; 影响因素

本文引用格式

徐新悦, 岳梦凡, 李建国, 刘丽丽 . 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[J]. 自然资源学报, 2019 , 34(9) : 1974 -1986 . DOI: 10.31497/zrzyxb.20190913

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.

Key words： coastal areas; path analysis; influencing factors; pollution control willingness

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