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Estimating the contributions of migration factors to interprovincial migration in China 1995-2000

机译:估算1995-2000年中国人口迁移对省际迁移的贡献

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A set of migration data in China was used to estimate a multilevel Poisson migration model. The model explained 65.9% of the variation in 1995-2000, which is greater than the 29.8% explained by the ordinary least squares extended gravity model. Two income variables had positive impact on migration, confirming the importance of income in internal migration in China. A decomposition approach was then used to estimate the effects of spatial structure and the origin and destination attributes on migration in China. The space effect on in-migration was the highest in the eastern coastal regions in China, spanning from Zhejiang to Hebei. Many regions in the central part of China have relatively large positive attribute distribution effects. Several regions, including Beijing, Jiangsu, Shanghai, Zhejiang, and Guangdong, have outstanding pull effects, the own attribute effect, on migration.View full textDownload full textKeywordsmigration modeling, Poisson model, spatial effect, ChinaRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; var addthis_config = {"data_track_addressbar":true,"ui_click":true}; Add to shortlist Link Permalink http://dx.doi.org/10.1080/19475683.2012.691899
机译:使用中国的一组迁移数据来估计多级泊松迁移模型。该模型解释了1995-2000年变化的65.9%,大于普通最小二乘扩展引力模型解释的29.8%。两个收入变量对移民产生了积极影响,证实了收入在中国国内移民中的重要性。然后采用分解方法来估计空间结构以及起源和目的地属性对中国移民的影响。在中国东部沿海地区,从浙江到河北,对移民的空间影响最大​​。中部许多地区的正属性分布效应较大。包括北京,江苏,上海,浙江和广东在内的几个地区在迁移方面具有出色的拉动效应,自身的属性效应。查看全文下载全文关键字迁移建模,泊松模型,空间效应,中国相关var addthis_config = {ui_cobrand:“ Taylor &Francis Online”,services_compact:“ citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”}; var addthis_config = {“ data_track_addressbar”:true,“ ui_click”:true};添加到候选列表链接永久链接http://dx.doi.org/10.1080/19475683.2012.691899

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