首页|基于随机支付卡条件价值法视角的长沙市和石家庄市居民大气环境质量改善支付意愿及影响因素

基于随机支付卡条件价值法视角的长沙市和石家庄市居民大气环境质量改善支付意愿及影响因素

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基于随机价值理论,以湖南省长沙市和河北省石家庄市为例,采用随机支付卡价值诱导技术,实证分析了居民对大气环境质量改善的支付意愿及影响因素,旨在为条件价值法改进及大气环境治理政策成本-效益分析提供依据.结果表明:①2市居民在支付意愿选择态度上存在显著差异,石家庄市居民持积极态度的占比高于长沙市,这与个人对环境治理的角色定位、支付能力及机构信任紧密相关.②石家庄市居民的平均支付意愿显著高于长沙市,长沙市居民支付意愿均值的样本平均数为97.87元/月,标准差为128.69,石家庄市分别为108.24元/月和142.64.③影响居民支付意愿最主要的微观因素是受教育程度,其次是对政府的信任度、收入水平、风险偏好、对政府的满意度评价及预期收入变化,最主要的宏观因素是居住城市和区域,其次是人均地区生产总值.
Willingness to pay for air quality improvement and its influencing factors of residents in Changsha and Shijiazhuang Cities based on the stochastic payment card value elicitation technique of CVM
Previous studies on evaluating individuals'willingness to pay rarely considered the complexity of the real environment for decision-making and the limitations of respondents'cognition and information acquis-ition.Therefore,most of them have not yet reflected the latest research results in the field of environmental and economic value evaluation.In particular,there is a lack of uncertainty consideration of respondents'prefer-ences and result in a large error for the evaluation of WTP.Based on random value theory,taking Changsha City,Hunan Province and Shijiazhuang City,Hebei Province as examples,this paper empirically analyzes res-idents'WTP for air quality improvement and its influencing factors by using SPC value elicitation technique of CVM.The aim is to provide insights and references for the improvement of CVM research and the benefit-cost analysis of atmospheric environmental governance policies in China.The results reveal that:1)Residents in the two cities have significantly different attitudes towards WTP for air quality improvement.The proportion of residents in Shijiazhuang who hold positive attitudes is significantly higher than that in Changsha.More than 20%of the residents in both cities stated"Definitely Yes"for contributing money,while 7%-10%expressed"Definitely No".The reasons for unwilling to pay are closely related to their role orientation,payment ability and institutional trust in environmental governance.2)The average WTP of residents in Shijiazhuang is signi-ficantly higher than that in Changsha.The sample average value for the mean of WTP in Changsha is 97.87 yuan/month,the sample average value of standard deviation is 128.69,and Shijiazhuang is 108.24 yuan/month and 142.64,respectively.3)The most important micro-factor affecting residents'WTP is education level,which reflects the important role of information factors in personal and family characteristics.Secondly,it is the influence of the trust and satisfaction with the government,which reflects the importance of the relation-ship between the government and the people on decision-making of residents'behaviors.Thirdly,it is the influ-ence of income level and its expected changes,which reflects the important role of economic factors.Finally,it is the influence of risk preference,which reflects the importance of personal attitude towards environmental risks.The main macro factors are residential cities and regions,followed by per capita GDP in each region.It shows that residents'WTP is different between the south and north area for the large spatial scale and between the city center and the suburbs for the small spatial scale.However,the level of payment is not necessarily matched with the level of urban economic development.It may also be affected by the comprehensive influ-ence of residents'cognition,attitude,and other factors.Based on the analysis,this paper put forward some re-lated policies and suggestions for improving CVM implementation,promoting the effective evaluation of the effect of air quality improvement as well as public participation in environmental governance.

air quality improvementwillingness to payinfluencing factorscontingent valuation methodstochastic payment card

武照亮、王梦晗、王斌

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山西大学政治与公共管理学院,山西太原 030006

中国人民大学生态环境学院,北京 100872

山西省煤炭地质物探测绘院有限公司/资源环境与灾害监测山西省重点实验室,山西晋中 030600

大气环境质量改善 支付意愿 影响因素 条件价值法 随机支付卡

国家重点研发计划项目

2018YFC0213702

2024

地理科学
中国科学院 东北地理与农业生态研究所

地理科学

CSTPCDCSSCICHSSCD北大核心
影响因子:3.117
ISSN:1000-0690
年,卷(期):2024.44(8)
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