我国就业人口分析及预测模型建立初探
Preliminary Study on Analysis and Prediction Model Establishment of Employment in China
在分析我国近几年经济发展与就业形势的基础上,选取了11项对就业有明显影响的经济社会指标。利用SPSS统计分析软件对各个指标统计数据进行了主成分分析。结果表明:对我国就业有影响的主要因素有三大主成分,五个指标:① 国家宏观经济活动主成分:财政收支总额,固定资产投资额;② 企业经济活跃性主成分:进出口总额,电力消费量;③ 生产(PPI)—消费(CPI)主成分:居民消费价格指数。对各因素指标对就业的影响进行多元非线性回归分析,得出了我国年就业人数回归预测粗略模型。
Based on analyzing the economic development and employment situation of China in recent years, we selected 11 pairs of economic and social indicators which had significant impact on employment. Statistics on various indicators were analyzed by SPSS software with the method of principal component analysis. The results show that there are three main components and five main economic indicators which have a great impact on Chinese employment. The principal component of national macroeconomic activity includes: total amount of revenue and expenditure, fixed assets investment; The principal component of enterprise economic activity includes: imports and exports, electricity consumption; The production (PPI)-Consumer (CPI) main components includes: consumer price index. Then we analyzed the main indicators impacting on employment by multiple non-linear regression analysis and established the prediction model about the quantity of employment in a year of China.
褚召祥、程高峰
经济计划、经济管理财政、金融工业经济
分析就业主成分SPSS模型
nalysisEmploymentPrincipal ComponentsSPSSModel
褚召祥,程高峰.我国就业人口分析及预测模型建立初探[EB/OL].(2009-12-09)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/200912-243.点此复制
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