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The spatial differentiation of quality of rural life based on natural controlling factors: A case study of Gansu Province, China.
Journal of Environmental Management ( IF 8.0 ) Pub Date : 2020-03-26 , DOI: 10.1016/j.jenvman.2020.110439 Fang Fang 1 , Libang Ma 1 , Hao Fan 2 , Xinglong Che 1 , Meimei Chen 1
Journal of Environmental Management ( IF 8.0 ) Pub Date : 2020-03-26 , DOI: 10.1016/j.jenvman.2020.110439 Fang Fang 1 , Libang Ma 1 , Hao Fan 2 , Xinglong Che 1 , Meimei Chen 1
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The laws of regional differentiation of county development and influencing factors on the quality of rural life (QRL), affect not only the vital interests of rural residents but also the scientific implementation of rural revitalization strategy. In this paper, taking 87 counties (cities, districts) of Gansu Province as the region of study, we constructed five-dimensional model of QRL index. Then, Pearson correlation, spatial coupling, geographical detector and tradeoff analysis methods were used to analyze the QRL's spatial differentiation and quantitively identify its natural controlling factors. Further, we discussed the mechanism of spatial differentiation of QRL in Gansu Province and provided recommendations for improving QRL. The results show that: (1) QRL in Gansu Province is characterized by spatial heterogeneity and agglomeration, and decreases from west to east. There are five hot spots and four cold spots of QRL. (2) Altitude, slope, precipitation, and distance to the provincial capital (DTTPC) are the natural controlling factors of spatial differentiation of QRL in Gansu Province. Their influences are quantified to be 0.19, 0.37, 0.37 and 0.20, respectively. (3) The tradeoff between QRL and precipitation is the strongest, with root mean square deviation (RMSD) of 0.293. The tradeoff between QRL and altitude/slope/DTTCC are of medium level and decrease successively, with values of 0.238, 0.255 and 0.2 respectively. (4) According to the different influences of natural controlling factors on QRL, Gansu Province was classified into three regional types: natural environment restricted type, resource abundance restricted type and economic location restricted type. Thus, we can improve the QRL on the basis of identifying driving mechanisms in different regions, make policies according to local conditions, and further promote the rural development.
中文翻译：
基于自然控制因素的农村生活质量的空间分异-以甘肃省为例。
县域发展的区域差异规律和影响农村生活质量的因素不仅影响农村居民的切身利益，而且影响农村振兴战略的科学实施。本文以甘肃省87个县（市，区）为研究区域，构建了QRL指数的5维模型。然后，使用皮尔逊相关，空间耦合，地理检测器和权衡分析方法来分析QRL的空间差异并定量识别其自然控制因素。此外，我们讨论了甘肃省QRL空间分异的机制，并为改善QRL提供了建议。结果表明：（1）甘肃省QRL具有空间异质性和集聚特征，并从西向东递减。QRL有五个热点和四个寒冷点。（2）海拔，坡度，降水量和距省会城市的距离是甘肃省QRL空间分异的自然控制因素。他们的影响被量化为分别为0.19、0.37、0.37和0.20。（3）QRL与降水之间的权衡最大，均方根偏差（RMSD）为0.293。QRL与高度/坡度/ DTTCC之间的权衡处于中等水平，并且依次降低，分别为0.238、0.255和0.2。（4）根据自然控制因素对QRL的影响，将甘肃省分为自然环境限制型，资源丰度限制型和经济区位限制型三种区域类型。从而，
更新日期：2020-03-27
中文翻译：
基于自然控制因素的农村生活质量的空间分异-以甘肃省为例。
县域发展的区域差异规律和影响农村生活质量的因素不仅影响农村居民的切身利益，而且影响农村振兴战略的科学实施。本文以甘肃省87个县（市，区）为研究区域，构建了QRL指数的5维模型。然后，使用皮尔逊相关，空间耦合，地理检测器和权衡分析方法来分析QRL的空间差异并定量识别其自然控制因素。此外，我们讨论了甘肃省QRL空间分异的机制，并为改善QRL提供了建议。结果表明：（1）甘肃省QRL具有空间异质性和集聚特征，并从西向东递减。QRL有五个热点和四个寒冷点。（2）海拔，坡度，降水量和距省会城市的距离是甘肃省QRL空间分异的自然控制因素。他们的影响被量化为分别为0.19、0.37、0.37和0.20。（3）QRL与降水之间的权衡最大，均方根偏差（RMSD）为0.293。QRL与高度/坡度/ DTTCC之间的权衡处于中等水平，并且依次降低，分别为0.238、0.255和0.2。（4）根据自然控制因素对QRL的影响，将甘肃省分为自然环境限制型，资源丰度限制型和经济区位限制型三种区域类型。从而，
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