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通过构建城乡居民福祉指数和福祉差异系数,分析了2011—2019年黄河流域九省份城镇和农村居民福祉水平及其差距的动态变化过程和空间差异,探讨了其影响因素。结果表明:(1)2011—2019年,黄河流域九省份的城乡居民福祉指数均呈上升趋势。(2)从数值上看,2011年和2019年内蒙古城乡居民福祉指数均为最高,四川均为最低。(3)从整体差异来看,2011—2019年黄河流域城镇居民福祉差异先后经历快速缩小阶段和平缓稳定阶段,农村居民福祉差异为波动下降状态。(4)从城乡居民福祉的水平对应关系类型来看,黄河流域城乡居民福祉等级大致同步发展,二者空间对应关系较强。(5)城乡福祉水平与自然环境、经济发展、公共服务和政策制度等因素有关,其中农村居民福祉的提升更依赖于经济发展,城镇居民福祉与公共服务呈明显的正相关。
Abstract:This paper constructed the coefficient and the difference coefficient of the well-being for urban and rural residents.And then it explored the dynamic change process and spatial difference of urban and rural residents' well-being level and its gap in nine provinces of the Yellow River Basin from 2011 to 2019, and discussed its influencing factors. The results show that:(1) From 2011 to 2019, the urban and rural residents' well-being index of nine provinces in the Yellow River Basin showed an upward trend.(2) From a numerical point of view, the well-being index of urban and rural residents in Inner Mongolia was the highest in 2011 and 2019, and that of Sichuan was the lowest.(3) From the overall difference, the wellbeing difference of urban residents in the Yellow River Basin has experienced a rapid narrowing stage and a gentle and stable stage from 2011 to 2019, and the well-being difference of rural residents is fluctuating and declining.(4) From the level of urban and rural residents' well-being corresponding relationship types, the well-being level of urban and rural residents in the Yellow River Basin is roughly synchronous development, and the spatial correspondence between the two is strong.(5)The level of urban and rural well-being is related to factors such as natural environment, economic development, public services and policy systems. The improvement of rural residents' well-being is more dependent on economic development,and the urban residents' well-being index is significantly positively correlated with public services.
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基本信息:
中图分类号:F126
引用信息:
[1]李魁明,姚罗兰,石云,等.黄河流域城乡居民福祉测度及其时空演变[J].生态经济,2022,38(11):222-229.
基金信息:
防灾科技学院中央高校基本科研业务费专项“地震灾害风险评估与区划研究”(ZY20220215); 河北省自然科学基金资助项目“气候变化对河北省玉米增产潜力的影响与应对措施研究”(D2022512010)
2022-11-02
2022-11-02