College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730000, China.
College of Geography and Environmental Science, Northwest Normal University, Lanzhou, 730000, China.
J Environ Manage. 2020 Jun 15;264:110439. doi: 10.1016/j.jenvman.2020.110439. Epub 2020 Mar 26.
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.
县域发展质量与农村生活质量（QRL）的地域分异规律及其影响因素，不仅关系到广大农村居民的切身利益，也关系到乡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 指标的五维模型。然后，采用 Pearson 相关分析、空间耦合分析、地理探测器和权衡分析方法，分析了 QRL 的空间分异，并定量识别了其自然控制因素。进一步探讨了甘肃省 QRL 空间分异的形成机制，提出了提高 QRL 的建议。结果表明：（1）甘肃省 QRL 具有空间异质性和集聚性，表现为由西向东逐渐降低，存在五个热点区和四个冷点区。（2）高程、坡度、降水和距省会城市距离（DTTPC）是甘肃省 QRL 空间分异的自然控制因素，其影响量化值分别为 0.19、0.37、0.37 和 0.20。（3）QRL 与降水的权衡关系最强，均方根偏差（RMSD）为 0.293；QRL 与高程/坡度/DTTPC 的权衡关系次之，依次为 0.238、0.255 和 0.2。（4）根据自然控制因素对 QRL 的不同影响，将甘肃省分为自然环境约束型、资源丰裕约束型和经济区位约束型三种区域类型。因此，可以在识别不同区域驱动机制的基础上提高 QRL，因地制宜制定政策，进一步促进农村发展。
