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Spatial filtering analysis of sex ratios at birth in China

机译:中国出生性别比的空间过滤分析

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China has a widely distributed rising SRB since 1980s. Linear regression and spatial filtering on provincal and county scale SRB are implemented to explore the relationship between SRB and four factors: economy, education, culture and family planning policy of China. On the province scale data, the policy variables have similar explanation effect of fertility ratio on SRB, and the family planning policy has much greater effect on the SRB of the second parturition than that of the first parturition. The SRBs on whole, the first and second parturition are spatial autocorrelated, so are the SRBs at city, town and rural areas. On the county scale data, more strong spatial effect is detected. Linear regression and spatial filtering are applied on five selected provinces with very high SRB and SRB on the second parturition. Semiparametric spatial filtering is an efficient approach to deal with the spatial dependencies among SRB and relative data.
机译:自1980年代以来,中国的SRB分布广泛。对省级和县级SRB进行线性回归和空间滤波,以探索SRB与中国经济,教育,文化和计划生育政策四个因素之间的关系。在省级规模数据中,政策变量对生育率对SRB的解释作用相似,而计划生育政策对第二分娩的SRB的影响要大于第一次分娩的SRB。整体上,第一和第二分娩的SRB都是空间自相关的,城市,城镇和农村地区的SRB也是如此。在县级数据中,检测到更强的空间效应。线性回归和空间滤波应用于五个选定的SRB很高的省份,并且在第二分娩时的SRB很高。半参数空间滤波是一种处理SRB和相关数据之间的空间依赖性的有效方法。

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