资源科学 ›› 2021, Vol. 43 ›› Issue (5): 1025-1037.doi: 10.18402/resci.2021.05.15
收稿日期:
2020-04-27
修回日期:
2021-04-28
出版日期:
2021-05-25
发布日期:
2021-07-25
通讯作者:
曾贤刚,男,江西九江人,教授,研究方向为环境与资源经济学、可持续发展。E-mail: zengxg@ruc.edu.cn作者简介:
许志华,男,江西抚州人,博士,讲师,研究方向为环境与资源经济学、可持续发展。E-mail: xuzhihua2016@126.com
基金资助:
XU Zhihua1,2(), LU Jingxuan1, ZENG Xiangang3(
)
Received:
2020-04-27
Revised:
2021-04-28
Online:
2021-05-25
Published:
2021-07-25
摘要:
受偿意愿和支付意愿的差异性导致条件价值评估法有所争议。本文基于前景理论参考点与厌恶损失构建效用函数,对受偿和支付意愿差异性的心理来源进行理论模型构建与分析,并在青岛市运用条件价值评估法构建胶州湾围填海造地3项差异化情景进行实证研究,为加强条件价值评估法调查结果的实践应用性提供参考。结果表明:①个体参考点偏离增大时,受偿和支付意愿的差异性增大;个体厌恶损失程度越高,表现出的受偿和支付意愿差异性越强。但两者在影响机理上有所差异,参考点通过正向影响受偿意愿,而厌恶损失通过负向影响支付意愿导致受偿和支付意愿间的差异性增大。②内在动机、融合动机以及教育程度均对支付意愿表现出显著正向影响,并且与受偿和支付意愿之间的差异性表现出显著负相关关系。③政府信任度与收入虽与支付意愿呈现出显著正相关关系,但并未对受偿和支付意愿之间的差异性表现出显著影响。研究揭示了影响受偿和支付意愿之间差异性的重要因素,有助于提高条件价值评估法运用的科学性与可靠性,为推进国内该领域相关研究提供参考。
许志华, 卢静暄, 曾贤刚. 基于前景理论的受偿意愿与支付意愿差异性——以青岛市胶州湾围填海造地为例[J]. 资源科学, 2021, 43(5): 1025-1037.
XU Zhihua, LU Jingxuan, ZENG Xiangang. Disparity between willingness-to-accept and willingness-to-pay based on the prospect theory: A case study of Jiaozhou Bay reclamation in Qingdao City, China[J]. Resources Science, 2021, 43(5): 1025-1037.
表1
受偿意愿、支付意愿和d的样本量统计"
变量 | 海域被破坏或修复的面积/km2 | 零值比例/% | 均值 | 中位数 | 标准差 |
---|---|---|---|---|---|
受偿意愿 | 50 | 15.43 | 312.335 | 100.0 | 372.383 |
100 | 14.86 | 338.935 | 160.0 | 376.692 | |
150 | 14.86 | 370.165 | 180.0 | 393.182 | |
支付意愿 | 50 | 24.00 | 127.310 | 40.0 | 228.325 |
100 | 20.86 | 160.634 | 50.0 | 260.281 | |
150 | 20.29 | 182.795 | 75.0 | 277.727 | |
d | 50 | 25.00 | 185.026 | 27.5 | 377.570 |
100 | 25.28 | 178.301 | 22.5 | 390.476 | |
150 | 26.99 | 187.369 | 10.0 | 414.526 |
表2
受偿意愿和支付意愿差异性影响因素分析"
变量 | (1) | (2) | (3) | (4) | (5) |
---|---|---|---|---|---|
参考点 | 0.216 | 0.429* | 0.420* | 0.433* | 0.375 |
(0.245) | (0.240) | (0.238) | (0.236) | (0.238) | |
厌恶损失 | 0.269*** | 0.269*** | 0.192* | 0.223** | 0.218** |
(0.102) | (0.096) | (0.099) | (0.098) | (0.099) | |
内在动机 | -0.468*** | -0.473*** | -0.502*** | -0.546*** | |
(0.170) | (0.168) | (0.168) | (0.169) | ||
识别动机 | 0.229 | 0.253 | 0.275* | 0.296* | |
(0.167) | (0.165) | (0.164) | (0.166) | ||
融合动机 | -0.477*** | -0.481*** | -0.432*** | -0.421*** | |
(0.129) | (0.127) | (0.127) | (0.128) | ||
政府信任度 | -0.120 | -0.096 | -0.134 | -0.140 | |
(0.101) | (0.100) | (0.099) | (0.100) | ||
性别 | -0.384 | -0.224 | -0.304 | ||
(0.261) | (0.258) | (0.261) | |||
年龄 | -0.046 | -0.048 | -0.053 | ||
(0.072) | (0.073) | (0.073) | |||
教育程度 | -0.344*** | -0.375*** | -0.361*** | ||
(0.124) | (0.123) | (0.124) | |||
收入 | -0.058 | -0.215* | -0.212 | ||
(0.130) | (0.129) | (0.130) | |||
居住地 | 0.405 | 0.608* | 0.696** | ||
(0.327) | (0.325) | (0.328) | |||
常数项 | 0.675 | 2.766*** | 4.506*** | 5.789*** | 5.792*** |
(0.487) | (0.795) | (1.670) | (1.658) | (1.673) |
表3
受偿意愿和支付意愿影响因素分析"
受偿意愿 | 支付意愿 | ||||||
---|---|---|---|---|---|---|---|
50 km2 | 100 km2 | 150 km2 | 50 km2 | 100 km2 | 150 km2 | ||
参考点 | 0.380* | 0.419* | 0.428* | -0.079 | 0.020 | 0.104 | |
(0.230) | (0.230) | (0.233) | (0.187) | (0.190) | (0.191) | ||
厌恶损失 | -0.033 | -0.036 | -0.023 | -0.208*** | -0.212*** | -0.194** | |
(0.091) | (0.091) | (0.092) | (0.075) | (0.075) | (0.076) | ||
内在动机 | 0.038 | -0.034 | -0.079 | 0.523*** | 0.496*** | 0.513*** | |
(0.164) | (0.164) | (0.166) | (0.133) | (0.135) | (0.137) | ||
识别动机 | 0.212 | 0.305* | 0.351** | -0.018 | 0.055 | 0.074 | |
(0.162) | (0.162) | (0.164) | (0.127) | (0.128) | (0.129) | ||
融合动机 | -0.082 | -0.094 | -0.07 | 0.418*** | 0.364*** | 0.348*** | |
(0.120) | (0.120) | (0.121) | (0.100) | (0.101) | (0.102) | ||
政府信任度 | 0.137 | 0.105 | 0.090 | 0.161** | 0.154** | 0.151* | |
(0.091) | (0.091) | (0.092) | (0.077) | (0.078) | (0.078) | ||
性别 | -0.329 | -0.255 | -0.243 | 0.046 | -0.059 | 0.032 | |
(0.245) | (0.245) | (0.247) | (0.204) | (0.208) | (0.210) | ||
年龄 | -0.091 | -0.129 | -0.153 | -0.161 | -0.128 | -0.141 | |
(0.141) | (0.141) | (0.143) | (0.120) | (0.123) | (0.124) | ||
教育程度 | -0.058 | -0.077 | -0.066 | 0.230** | 0.252** | 0.236** | |
(0.134) | (0.134) | (0.135) | (0.111) | (0.113) | (0.114) | ||
收入 | 0.297 | 0.184 | 0.213 | 0.425*** | 0.503*** | 0.491*** | |
(0.182) | (0.182) | (0.184) | (0.151) | (0.154) | (0.156) | ||
居住地 | 0.186 | 0.114 | 0.076 | -0.219 | -0.518* | -0.631** | |
(0.325) | (0.326) | (0.329) | (0.266) | (0.271) | (0.274) | ||
常数项 | -0.409 | -0.228 | -0.257 | 0.075 | -0.104 | 0.002 | |
(0.578) | (0.579) | (0.584) | (0.468) | (0.474) | (0.478) |
表4
稳健性分析"
变量 | (1) | (2) | (3) |
---|---|---|---|
类型 | 210.222*** | 212.389*** | 291.405* |
(45.437) | (45.147) | (169.345) | |
参考点 | -52.857 | -46.971 | -26.522 |
(43.844) | (43.640) | (68.757) | |
厌恶损失 | 9.298 | -25.217 | 8.877 |
(16.805) | (23.111) | (16.849) | |
类型∙厌恶损失 | 72.181** | ||
(33.423) | |||
类型∙参考点 | -44.471 | ||
(89.354) | |||
常数项 | 358.877*** | 345.776*** | 310.705** |
(86.766) | (86.405) | (130.068) |
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