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Spatial Distribution of Migration and Economic Development: A Case Study of Sichuan Province, China

机译:人口迁移与经济发展的空间分布-以中国四川省为例

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The spatial distribution of China’s rapid growth in population and economic development is uneven, and this imbalance leads to migration. However, the literature concerning migration in China has been primarily focused at the provincial scale and on eastern parts of the country. Relatively few studies have examined migration between counties and these rarely involve poor areas, and even more rarely involving out-migration areas. Using statistical data, this study analyzes the spatial correspondence between population distribution and economic development in Sichuan with an index, the Correspondence of Population and Economy (CPE). We also build a regression model of net-migration to analyze the driving forces of migration. The results include the following: (1) The distribution of population, population density, GDP, and GDP growth are all similar, and the high value areas are mainly concentrated in eastern Sichuan; (2) The number of counties that are balanced in CPE dropped from 30 to 12 from 2005 to 2012, but the counties did not overlap; (3) Most in-migrants come from Sichuan itself, and in-migration areas are primarily concentrated in cities; (4) In the regression model, the four economic factors have a positive influence on net-migration, but rural employment has a negative influence; (5) CPE has a weak negative correlation with net-migration.
机译:中国人口快速增长和经济发展的空间分布不均衡,这种不平衡导致人口迁移。但是,有关中国移民的文献主要集中在省级和东部地区。相对较少的研究调查了县之间的移民,这些移民很少涉及贫困地区,甚至很少涉及移民地区。本研究使用统计数据,以人口与经济对应性(CPE)指标分析了四川人口分布与经济发展之间的空间对应关系。我们还建立了净迁移的回归模型,以分析迁移的驱动力。结果表明:(1)人口分布,人口密度,国内生产总值和国内生产总值增长都相似,高价值地区主要集中在四川东部; (2)CPE平衡县的数量从2005年到2012年从30个减少到12个,但是县没有重叠; (3)大多数移民来自四川本身,而移民地区主要集中在城市。 (4)在回归模型中,四个经济因素对净迁移有积极影响,而农村就业则有消极影响; (5)CPE与净迁移的相关性较弱。

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