首页|中心城市社区公共绿地支付意愿及影响因素研究——基于居民不确定性视角的分析

中心城市社区公共绿地支付意愿及影响因素研究——基于居民不确定性视角的分析

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改善社区公共绿地是社区公共空间治理的重要内容。基于随机价值理论,充分考虑居民偏好的不确定性,以沈阳市、太原市、北京市、南京市和广州市5个中心城市40个社区的居民调查为例,实证分析了其对社区公共绿地改善的支付意愿及影响因素。结果表明:1)各城市价格升序和降序价值引导技术下居民在给定价格水平上给予肯定回答的占比差异不大,但沈阳市和太原市居民给予肯定回答的占比均低于其他城市。2)价格升序引导技术下,所有城市受访居民支付意愿均值的样本平均数为18。35元/年,标准差的样本平均数为2。72;降序引导技术下,均值和标准差的样本平均数分别为18。57元/年和2。48。3)南北方城市居民支付意愿分布有所差异,南方城市支付意愿均值和标准差均高于北方城市。4)微观因素中受教育程度、对居委会的信任度、收入水平、家庭结构、风险偏好及对社区绿地覆盖率的满意度对支付意愿产生显著正向影响,社区环境质量状况感知、年龄及距绿地的距离呈显著负向影响。5)宏观因素中居住区域及居住社区类型对支付意愿产生显著正向影响,居住城市呈显著负向影响。建议贴合居民预期与需求、重视社区绿地空间再造、激活社区社会资本及增强居民社区认同感和归属感,以强化其对社区生态空间营造的责任感,进而提高社区环境治理参与水平。
Study on residents'willingness to pay for community public green space improvement in central cities of China
The improvement of community public green space is an important part of community public space governance.Taking five central cities Shenyang,Taiyuan,Beijing,Nanjing and Guangzhou as examples,we surveyed 40 communities in these cities,and empirically analyzed the residents'willingness to pay(WTP)for community public green space improvement and its influencing factors.We fully considered the uncertainty of residents'preference in the analysis,and adopted stochastic payment card(SPC)value elicitation technique of contingent valuation method(CVM)to estimate WTP based on the random value theory.The results show that:1)There is little difference in the proportion of positive answers given by residents at every bid level in ascending and descending order version in different cities,but the proportion in Shenyang and Taiyuan is lower than that in other cities.2)In ascending order version,the sample average value for the mean of WTP in all cities is 18.35 yuan/year,with an average value of standard deviation is 2.72.They are 18.57 yuan/year and 2.48,respectively in descending order version.3)The distribution of residents'WTP in southern and northern cities is different.Specifically,the mean and standard deviation of WTP are higher in southern cities than in northern cities.4)Micro factors including residents'education level,trust in neighborhood committees,income level,family structure,risk preference,and satisfaction with community green space coverage have significant positive impacts on WTP,while the perception of community environmental quality status,age,and the distance from green space show significant negative impacts.5)Macro factors including residential area and the type of residential community have significant positive impacts on WTP,while the city where residents live shows a significant negative impact.It is suggested that we should meet the expectations and needs of residents,attach importance to the reconstruction of community green space,activate community social capital,and enhance residents'sense of community identity and belonging,so as to strengthen their sense of responsibility for the construction of community ecological space,and thus improve their participation level in community environmental governance.

community public green spaceresidentswillingness to payinfluencing factorsuncertainty

武照亮、阮芳芳

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山西大学政治与公共管理学院,太原 030006

宁波财经学院国际经济贸易学院,宁波 315175

社区公共绿地 居民 支付意愿 影响因素 不确定性

国家重点研发计划

2018YFC0213702

2024

干旱区资源与环境
中国自然资源学会干旱半干旱地区研究委员会 内蒙古农业大学

干旱区资源与环境

CSSCICHSSCD北大核心
影响因子:1.492
ISSN:1003-7578
年,卷(期):2024.38(5)