基于分省数据的中国农村人居环境时空差异

生态学杂志

基于分省数据的中国农村人居环境时空差异

李陈¹,赵锐²,汤庆园^3,4*

(¹上海工程技术大学公共管理系，上海 201620；²西南交通大学地球科学与环境工程学院，成都 611756；³西南交通大学公共管理与政法学院，成都 611756； ⁴西南交通大学中国高铁发展战略研究中心，成都 611756)

出版日期:2019-05-10 发布日期:2019-05-10

Spatial and temporal variation of rural human settlements in China based on provincial data.

LI Chen¹, ZHAO Rui², TANG Qing-yuan^3,4*

(¹Department of Public Affairs, Shanghai University of Engineering Science, Shanghai 201620, China; ²Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China; ³School of Public Affairs & Law, Southwest Jiaotong University, Chengdu 611756, China; ⁴National Research Center on Strategic Development of High-Speed Railway, Southwest Jiaotong University, Chengdu 611756, China).

Online:2019-05-10 Published:2019-05-10

摘要/Abstract

摘要： 改善农村人居环境对实施乡村振兴战略和全面建成小康社会具有重要意义，科学评估中国农村人居环境建设，能够为农村人居环境优化提供决策基础。本研究综合采用变异系数、基尼系数、泰尔指数、收敛和发散分析的方法，对2006—2015年中国30个省市区、三大经济带农村人居环境的区域差异进行时空分析。结果表明：中国农村人居环境整体质量有所提升，综合得分提高6.26%，空间分布上各省农村人居环境综合得分保持“东-中-西”阶梯式递减的空间格局；农村人居环境水平总体差异趋于缩小，变异系数、基尼系数、泰尔指数分别缩小5.32%、6.50%、10.59%；评价得分上农村居住条件的改善贡献较大，但也出现局部恶化的情况；影响农村人居环境综合得分的因素依次是基本公共服务、生态环境质量和经济社会因素。

关键词: 诱因, 影响, 水母旺发, 海水温度, 海洋环境

Abstract: Improving the rural human settlement environment is important for rural revitalization and building a welloff society in an allround way. Scientific evaluation of the construction of rural human settlement environment can provide decision-making basis for its optimization in China. Here, the coefficient of variation, Gini coefficient, Theil index, and convergence/divergence method were used to analyze the spatial-temporal variation of rural human settlement environment in China’s 30 provinces and three economic zones from 2006 to 2015. Results showed that China’s rural human settlement (RHS) score increased by 6.26%. The spatial pattern of “East, Middle, West” descending steps in the rural human settlement environment remained unchanged. The overall difference of human settlement environment in the rural areas tended to shrink, and the coefficient of variation, Gini coefficient and Theil index decreased by 5.32%, 6.50% and 10.59% respectively. The rural human settlement tended to be improved for China’s provinces mainly due to the improvement of rural living conditions, but with partial deterioration of the situation. The primary constraint factor of rural human settlement was basic public services, followed by environmental quality, and economic and social factors.

Key words: inducement, effect, jellyfish accumulation, seawater temperature, marine eco-environment.

李陈,赵锐,汤庆园. 基于分省数据的中国农村人居环境时空差异[J]. 生态学杂志.

LI Chen, ZHAO Rui, TANG Qing-yuan. Spatial and temporal variation of rural human settlements in China based on provincial data.[J]. cje.

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