| 姚桂福1
，祁新华2*.基于区域和个体视角的城市贫困研究
——以福州市为例[J].海南师范大学学报自科版,2025,38(3):338-348 |
| 基于区域和个体视角的城市贫困研究
——以福州市为例 |
| Study on Urban Poverty from Regional and Individual Perspectives：A Case Study of Fuzhou |
| |
| DOI：10.12051/j.issn.1674-4942.2025.03.012 |
| 中文关键词: 中低收入群体 多源数据 区域贫困 个体贫困 致贫因素 福州市 |
| 英文关键词: low-middle-income group multi-source data regional poverty individual poverty poverty-causing factor Fuzhou |
| 基金项目: |
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| 摘要点击次数: 259 |
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| 中文摘要: |
| 随着城镇化的推进，城市的中低收入群体规模及其与高收入群体的收入差距不断增
大，是城市贫困的潜在发生对象，已经引起相关政府职能部门与学术界的高度关注。本研究引入
多源数据并深入社区进行问卷调查测度福州市城市贫困，基于区域和个体视角解释城市贫困的影
响因素。研究发现：（1）2000—2020年，福州市城市贫困等级为富裕和一般的社区在空间分布上整
体呈现向南扩大的趋势，较富裕的社区在空间分布上整体呈现先扩大后缩小的趋势，较贫困的社
区在空间分布上呈现先缩小再扩大的趋势，整体分布略有缩小，贫困的社区在空间分布上整体呈
现不断缩小的趋势；（2）福州市中低收入群体普遍存在初级多维相对贫困，并存在一定程度的严重
多维贫困和少量的极端多维贫困现象，中低收入群体的多维贫困发生率和多维贫困指数发生率随
着总剥夺值的增加而减小，而平均剥夺强度不断增大；（3）每月单位房租、人口密度、社区区位位
置、就业机会、基站数量是福州城市贫困空间分异的主要驱动因素，性别、就业状况、参保情况等是
个体多维贫困的重要影响因素。 |
| 英文摘要: |
| With the advancement of urbanization, the size of the middle and low-income groups in cities and the income
gap between them and the high-income groups have been continuously widening. These groups are potential targets for ur⁃
ban poverty and have attracted high attention from relevant government departments and the academic community. By inte⁃
grating multiple data sources and conducting in-depth community-based questionnaire surveys to measure urban poverty
in Fuzhou City, the causes of urban poverty from both regional and individual perspectives were explained. The results
found that: (1) From 2000 to 2020, the communities that were classified as affluent and average in terms of urban poverty
showed an overall trend of expanding southward in spatial distribution in Fuzhou. The relatively affluent communities demonstrated an overall trend of first expanding and then contracting in spatial distribution. The relatively poor communi⁃
ties showed a trend of first contracting and then expanding in spatial distribution, but the overall distribution slightly
shrank. The poor communities showed an overall trend of continuous contraction in spatial distribution. (2) The middle and
low-income groups generally exhibited phenomena of primary multi-dimensional relative poverty, a certain degree of se⁃
vere multi-dimensional poverty, and a small amount of extreme multi-dimensional poverty in Fuzhou. The incidence of multidimensional poverty and the incidence of multi-dimensional poverty index among the middle and low-income groups decreased
as the total deprivation value increased, while the average deprivation intensity kept increasing. (3) Monthly unit rent, population
density, community location, employment opportunities, and the number of base stations were the main driving factors for the spa⁃
tial differentiation of urban poverty in Fuzhou. Gender, employment status, and insurance participation are important influencing
factors for individual multi-dimensional poverty. |
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