| 我国就业人数的主要影响因素分析及前景预测 |
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| 引用本文： | 朱家明,王犁,童金萍,郭艳芳.我国就业人数的主要影响因素分析及前景预测[J].数学的实践与认识,2010,40(15). |
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| 作者姓名： | 朱家明 王犁 童金萍 郭艳芳 |
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| 基金项目： | 安徽省高校省级自然科学研究项目，安徽省教育厅教研项目 |
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| 摘 要： | 针对就业问题,通过有关数据分析,运用SPSS,采取主成分分析法提取主要影响因素或指标,建立了就业人数的数学模型,分别从包含主要的经济社会指标、分行业、分地区、分就业人群角度,建立比较精确的数学模型.据国家有关决策规划对2009年及2010年上半年的就业前景进行仿真.最终结合模型与仿真结果,为提高就业人数或减少城镇登记失业率提出较好建议.
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| 关 键 词： | 就业 影响就业指标体系 灰色关联度 相关系数 神经网络预测 |
An Analysis and Forecast of the Main Factors in China's Employment Population |
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| ZHU Jia-ming,WANG Li,TONG Jin-Ping,GUO Yan-fang.An Analysis and Forecast of the Main Factors in China's Employment Population[J].Mathematics in Practice and Theory,2010,40(15). |
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| Authors: | ZHU Jia-ming WANG Li TONG Jin-Ping GUO Yan-fang |
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| Abstract: | By using SPSS and analyzing relevant data,the aim is to extract several employment-affecting factors or indicators and a mathematical model of China's employment population is established.This model is comparatively accurate for it includes the main economic and social indicators and it covers a variety of industries,areas and age groups.Then,based on the government's employment policies and strategies,a simulative approximation of employment rate is given in 2009 and the first two quarters of 2010.Finally, according to the mathematical model and simulations,a proposal is provided to enlarge the employment population and reduce the unemployment rate. |
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| Keywords: | employment employment-affecting indicator system gray correlation degree correlation coefficient neural network prediction |
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