摘要: |
农业面源污染问题已经成为我国面临的最严重的环境污染问题之一,农户对农业面源污染防治的态度和支付意愿研究,对于政府制定相关政策措施意义重大。分别采用李克特五点量表、条件价值评估法、多元有序Logistic模型回归等方法对(1)棉农对农业面源污染防治的态度,(2)棉农对农业面源污染防治的支付意愿(WTP),(3)影响棉农支付意愿的社会经济因素进行研究。结果表明:新疆棉农对农业面源污染防治的态度非常积极,但是当与自身利益相冲突时,则趋向于以牺牲环境为代价; 新疆每户棉农对农业面源污染防治的支付意愿是113.96元/年, 49.64%的被调查者选择的支付区间是[12, 60)元/年,累计百分比占70.65%; 农户的教育水平和是否参加过农业专业合作组织是新疆农户农业面源污染防治支付意愿的主要影响因素。基于此,得出结论并提出相应的对策建议。 |
关键词: 农业面源污染 农民态度 支付意愿 条件价值评估法 多元有序Logistic模型 |
DOI:10.7621/cjarrp.1005-9121.20160722 |
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STUDY ON XINJIANG COTTON FARMERS′ ATTITUDE AND WILLINGNESS-TO-PAY FOR AGRICULTURAL NON-POINT SOURCE POLLUTION CONTROL |
Ma Ying, Wang Baoli, Zhang Fang, Zhang Zhiqi, He Weikang, Men Jianfang
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Management Department of Xinjiang Agricultural University, Urumqi 830052, China
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Abstract: |
The problem of agricultural non-point source pollution (ANSP) has become one of the hotspots in China. The study on farmers′ attitude and willingness-to-pay (WTP) for ANSP control has a great significance for our government formulating relevant policies and countermeasures. Using the methods of the Likert five-point scale, contingent valuation method (CVM), and ordinal multinomial Logistic regression model, this paper discussed (1) cotton farmers′ attitude for ANSP, (2) cotton farmers′ WTP for ANSP, (3) social-economic factors affecting cotton farmers′ WTP. The results showed that Xinjiang cotton farmers′ attitude for ANSP control was very positive, but it would sacrifice environmentwhen it conflicted with their own profit. The average yearly cotton farmers′ WTP was 113.96 RMB per household, and 49.64% of respondents′ payment range was 12-60 yuan per year, with the cumulative percentage of 70.65%. Farmers′ education level and whether participating into an agricultural cooperation organization were the main factors affecting farmers′ WTP for ANSP control. Finally,it gave the conclusion and proposed some relevant policy suggestions. |
Key words: agricultural non-point source pollution farmers′ attitude willingness-to-pay contingent valuation method ordinal multinomial logistic model |