Resources Science ›› 2018, Vol. 40 ›› Issue (10): 1943-1953.doi: 10.18402/resci.2018.10.04
• 资源经济 • Previous Articles Next Articles
Jingzhu SHAN1(), Jingmei LI1,2, Yufei LIN3(
), Guoshan WANG3
Received:
2018-01-11
Revised:
2018-07-24
Online:
2018-10-25
Published:
2018-10-20
Jingzhu SHAN, Jingmei LI, Yufei LIN, Guoshan WANG. Application of the choice experiment to the evaluation of willingness to manage Enteromorpha prolifera disasters from the perspective of attribute cut-offs[J].Resources Science, 2018, 40(10): 1943-1953.
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Table 1
Description of attributes and levels of Enteromorpha prolifera governance"
修复要素 | 状态水平 | 解释 |
---|---|---|
滨海景观 | 良好 | 治理方案使浒苔得到全面清理,该年海面及海岸保持完全无浒苔,滨海景观完全恢复至浒苔发生前的基线水平 |
中等 | 治理方案使多数浒苔得到清理,该年海面及海岸偶尔漂浮、堆积少量浒苔 | |
较差* | 治理方案效果不佳,该年海面及海岸不断漂浮、堆积大量浒苔,严重影响居民及游客娱乐休闲 | |
近海水质 | 良好 | 该年浒苔未腐烂即全部打捞,近海水质完全恢复至浒苔发生前的基线水平 |
中等 | 该年少量浒苔沉降,近海水质略有下降 | |
较差* | 治理方案效果不佳,该年大量浒苔沉降、腐烂,近海水质严重恶化 | |
生物资源 | 恢复基线水平 | 治理方案使该年受影响的鱼虾贝藻等生物资源质量提高、数量增加,完全恢复并保持浒苔发生前的基线水平 |
略有下降 | 治理方案使该年受影响的鱼虾贝藻等生物资源质量提高、数量增加,但较基线水平仍略有下降 | |
明显下降* | 治理方案效果不佳,鱼虾贝藻等受影响生物资源质量降低,数量严重减少 | |
生物多样性 | 恢复基线水平 | 治理方案使该年受影响海域生物种群结构稳定,物种丰富度提高,完全恢复并保持受影响前的基线水平 |
略有下降 | 治理方案使该年受影响海域生物群落结构稳定,物种丰富度提高,但较基线水平仍略有下降 | |
明显下降* | 治理方案效果不佳,浮游植物等群落结构发生明显不利变化,物种丰富度明显降低 | |
支付意愿/(元/(人•a)) | 0*,50,100,200 | 每人每年对治理浒苔达到以上不同状态水平的支付意愿 |
Table 3
Occurrence and violations of cut-offs in sample"
属性临界值 | 水平 | 样本数/个 | 比例/% | 违反比例/% |
---|---|---|---|---|
滨海景观修复最低临界值 | 良好 | 236 | 59.45 | 57.78 |
中等 | 156 | 39.29 | ||
较差(保持现状) | 5 | 1.26 | ||
近海水质修复最低临界值 | 良好 | 250 | 62.97 | 54.16 |
中等 | 136 | 34.26 | ||
较差(保持现状) | 11 | 2.77 | ||
海洋生物资源修复最低临界值 | 恢复基线水平 | 281 | 70.78 | 57.08 |
略有下降 | 102 | 25.69 | ||
明显下降(保持现状) | 14 | 3.53 | ||
生物多样性修复最低临界值 | 恢复基线水平 | 268 | 67.51 | 55.87 |
略有下降 | 111 | 27.96 | ||
明显下降(保持现状) | 18 | 4.53 | ||
支付金额最高临界值 /(元/(人•a)) | 0 | 61 | 15.37 | 34.81 |
1~200 | 301 | 75.82 | ||
>200 | 35 | 8.82 |
Table 4
Results of random parameter Logit models"
变量 | 无cut-off模型 | 含cut-off模型 | |||
---|---|---|---|---|---|
系数 | 标准误 | 系数 | 标准误 | ||
X1 | 0.776*** | 0.070 | 0.407** | 0.164 | |
X2 | 0.736*** | 0.067 | 0.423*** | 0.149 | |
X3 | 0.577*** | 0.053 | 0.378*** | 0.141 | |
X4 | 0.643*** | 0.064 | 0.432*** | 0.143 | |
Y | -0.004*** | 0.000 6 | 0.005*** | 0.001 | |
VX1 | -0.387** | 0.187 | |||
VX2 | -0.320* | 0.165 | |||
VX3 | -0.152 | 0.155 | |||
VX4 | -0.165 | 0.157 | |||
VY | -0.013*** | 0.001 | |||
随机参数的标准差 | |||||
σX1 | 0.815*** | 0.089 | 0.802*** | 0.088 | |
σX2 | 0.860*** | 0.085 | 0.772*** | 0.085 | |
σX3 | 0.465*** | 0.084 | 0.436*** | 0.085 | |
σX4 | 0.489*** | 0.124 | 0.401*** | 0.132 | |
log likelihood | -1 669.430 | -1 606.745 | |||
Pseudo R2 | 0.234 | 0.263 |
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