The effect of urban green space on residents' subjective well-being: evidence from Chinese general social survey

IF 1.5 4区 经济学 0 ARCHITECTURE
Jinjin Zhu, Xinren Gu, Lvshui Zhang, Mei Yang
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引用次数: 1

Abstract

PurposeThis study aims to explore the effect of urban green space (UGS) on residents' subjective well-being (SWB) among different social groups.Design/methodology/approachUsing national SWB and UGS data obtained from the China Urban Construction Statistical Yearbook and the Chinese General Social Survey, a multiple regression model was developed to estimate the effect of UGS on residents' SWB. Grouping regression for samples from distinct socioeconomic groups was performed to further discuss group-wise differences in SWB.FindingsThe green coverage rate of built-up areas and the number of parks accessed by every 10,000 individuals are significantly positively correlated with residents' SWB, whereas the green space area per capita and greening investment ratio are significantly negatively correlated with residents' SWB; the effect of UGS on residents' SWB varies among individuals with respect to gender, age, and income, with the most significant difference observed among groups with different incomes.Originality/valueThe empirical results of this study are expected to support the planning and construction of UGS by providing a reference for optimizing their service capabilities and highlighting their positive role in improving residents' SWB.
城市绿地对居民主观幸福感的影响:来自中国综合社会调查的证据
目的本研究旨在探讨城市绿地对不同社会群体居民主观幸福感的影响。设计/方法/方法利用中国城市建设统计年鉴和中国综合社会调查的国家SWB和UGS数据,建立了一个多元回归模型来估计UGS对居民SWB的影响。对来自不同社会经济群体的样本进行分组回归,以进一步讨论主观幸福感的群体差异。研究发现:建成区绿化覆盖率、每万人进入公园数量与居民幸福感呈显著正相关,人均绿地面积和绿化投入率与居民幸福感呈显著负相关;UGS对居民幸福感的影响在不同性别、年龄和收入的个体中存在差异,不同收入群体的差异最为显著。希望本研究的实证结果能够为城市公共服务系统的规划和建设提供参考,为优化城市公共服务系统的服务能力、突出城市公共服务系统在提高居民幸福感方面的积极作用提供支持。
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来源期刊
CiteScore
2.30
自引率
18.20%
发文量
48
期刊介绍: The journal of an association of institues and individuals concerned with housing, design and development in the built environment. Theories, tools and pratice with special emphasis on the local scale.
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