Journal of Ecology and Rural Environment ›› 2020, Vol. 36 ›› Issue (10): 1251-1259.doi: 10.19741/j.issn.1673-4831.2020.0269

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Spatial Differentiation Characteristics of Influencing Factors of Quality of Rural Life in Gansu Province

MA Li-bang, LI Huan, DOU Hao-jian, BO Jie, FANG Fang, CHE Xing-long   

  1. College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
  • Received:2020-04-14 Online:2020-10-25 Published:2020-10-20

Abstract: Quality of rural life(QRL) is an important indicator reflecting the level of rural economic development, which is directly related to the vital interests of rural residents and the well-being of the people. This paper constructed a model of QRL and analyzed the spatial differentiation characteristics and influencing factors of QRL by spatial auto-correlation and geographical detector. The results show that: (1) the spatial distribution of QRL has obvious regional differences, the QRL gradually reduces from west to east, and presents obvious spatial clustering characteristics. H-H cluster area is mainly distributed in the central and western regions of Hexi Corridor, L-L cluster area is mainly distributed in the southern regions of the province, both of which are in contiguous distribution, H-L cluster area only contains one county Diebu. (2) The main influencing factors of QRL include precipitation, slope, rate of rural construction land, distance from provincial capital city, total power of agricultural machinery, proportion of GDP of primary industry and total rural population. (3) There are significant spatial differences in the main influencing factors and in the intensity of their effects on the QRL in each evaluation unit. The central, eastern and southern areas of Gansu are dominated by human factors, the Hexi Corridor is dominated by natural factors, and the southeast of Gansu is dominated by human factors and pulled by comprehensive factors.

Key words: quality of rural life, influencing factors, spatial differentiation, action intensity, Gansu Province

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