2017
DOI: 10.3390/su9030336
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Regional Features and National Differences in Population Distribution in China’s Border Regions (2000–2015)

Abstract: China is of great geostrategic significance not only in the Asia-Pacific region, but also in the wider world. The population distribution in China's border regions is of significance for the development of China and neighboring countries. Based on the LandScan Population Distribution Database, this study used GIS spatial analysis and statistics to investigate national trends in the population distribution of China's border regions. The study areas were the buffer zones within specified Euclidean distances from… Show more

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Cited by 9 publications
(9 citation statements)
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“…Most border research uses population and land use data for analysis. You et al analyzed population changes within a 200 km buffer zone inside and outside China's borders [55], finding that the population density on the neighboring side was twice as high as on the Chinese side. The comparison of population densities we found is consistent with this, but with a higher HAI on the Chinese side than on the neighboring side.…”
Section: Comparisons With Previous Studiesmentioning
confidence: 99%
See 1 more Smart Citation
“…Most border research uses population and land use data for analysis. You et al analyzed population changes within a 200 km buffer zone inside and outside China's borders [55], finding that the population density on the neighboring side was twice as high as on the Chinese side. The comparison of population densities we found is consistent with this, but with a higher HAI on the Chinese side than on the neighboring side.…”
Section: Comparisons With Previous Studiesmentioning
confidence: 99%
“…However, the demographic analysis based on administrative units has coarsened the spatial differences in population density. In fact, the border population is mainly distributed in the plains, oases, and along the transportation lines [55]. Therefore, using a single datum to identify human activities will produce large deviations.…”
Section: Comparisons With Previous Studiesmentioning
confidence: 99%
“…Chinese scholars have conducted many studies on frontier residents. At present, the research on such communities includes five key aspects: (1) their distribution characteristics [ 38 ]; (2) population outflow and its influencing factors [ 26 , 27 , 35 – 37 ]; (3) population security’s impact on national security, as well as economic and social development [ 22 , 25 ]; (4) local inhabitants’ marital status [ 47 , 48 ]; and (5) illegal cross-border migrants [ 20 , 49 ]. However, most scholars focus only on some counties.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Existing research has overlooked the issue of population distribution in these regions. Only a few studies have focused on smaller zones, shorter time scales, and borderlines [ 26 , 27 , 35 – 37 ]; or they considered population distribution and change within one kilometer of each side of the border [ 38 ]. As there is no administrative division within the study of 1 km of the frontier, it is difficult to propose specific policies for population distribution patterns and changes.…”
Section: Introductionmentioning
confidence: 99%
“…The population urbanization level was depicted by the population density, which was considered to be the most direct indicator of the spatial pattern of population distribution [29]. Its data were obtained from the LandScan Global Population Project, developed by the Department of Energy Oak Ridge National Laboratory (ORNL) in Tennessee, USA based on a combination of geographic information systems, image analysis, and multivariate zoning density models at 1 km spatial reso-lution (https://www.satpalda.com/product/landscan/) (accessed on 25 December 2020) [30]. The land urbanization level, characterized by the degree of the artificial impervious surface coverage (impervious surface coverage = impervious surface area/total area) [31], was calculated using a 30 m high-resolution artificial impervious surface product by Professor Gong Peng [32].…”
Section: Introductionmentioning
confidence: 99%