Assessment of the sustainable development of rural minority settlements based on multidimensional data and geographical detector method: A case study in Dehong, China

被引:84
|
作者
Zhao, Fei [1 ]
Zhang, Sujin [1 ]
Du, Quanda [1 ]
Ding, Jieyu [2 ]
Luan, Guize [1 ]
Xie, Zhiqiang [1 ]
机构
[1] Yunnan Univ, Sch Earth Sci, Kunming 650500, Yunnan, Peoples R China
[2] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
Sustainable development index; Ethnic minority; Rural Areas; Geographical detector; VIIRS; Toponym; POPULATION-DISTRIBUTION; SPATIAL-ANALYSIS; HEALTH; SCALE; INDEX; NIGHT;
D O I
10.1016/j.seps.2021.101066
中图分类号
F [经济];
学科分类号
02 ;
摘要
In a developing country, paying attention to the sustainable development of rural areas is conducive to the development of the entire country. Ethnic minority areas are an important part of China's economic and social development. Owing to a lack of relevant statistical data, most previous studies in this area have focused on the sustainable development of rural areas or the development of ethnic minorities, but have not studied the sustainable development of rural ethnic minorities. The development of rural ethnic minorities is worthy of attention. In this study, we took Dehong as the study area. First used toponyms to accurately identify the rural minority areas and then calculated a grid of settlement density. Second, we considered the digital number (DN) value of the visible infrared imaging radiometer suite (VIIRS) as a measure of the development of the region and digital elevation model (DEM), net primary productivity (NPP), normalized difference vegetation index (NDVI), and gross domestic product (GDP) data as the indicators of terrain, climate, ecological, and economic factors, respectively. Finally, linear regression and the geographical detector method were used to determine the weight of the factors for constructing a sustainable development index (SDI) to quantitatively analyze the sustainable development and influencing factors of each minority nationality. The factors evaluated using linear regression and the geographical detector method were ranked as follows: NDVI > elevation > GDP > slope > NPP > settlement density. The results demonstrate that of the five main ethnic minorities in Dehong, Dai and Jingpo have higher SDI, followed by Achang, Lisu and De'ang. In addition, we provide some suggestions for ethnic minorities in Dehong.
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页数:12
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