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私营企业就业人数的面板数据分析
引用本文:梁慧玲,林玉蕊. 私营企业就业人数的面板数据分析[J]. 科技和产业, 2015, 15(2): 132-136
作者姓名:梁慧玲  林玉蕊
作者单位:福建农林大学计算机与信息学院,福州,350000
摘    要:为对我国私营企业就业人数的现状进行分析,以人口、人均GDP、高等学校数和高等学校毕业人数为指标,选取我国2001-2008年31个省市的多指标面板数据对我国私营企业就业人数进行分析。结果表明:私营企业就业人数、人口和人均GDP均为非平稳序列,私营企业就业人数与人口和人均GDP之间存在着显著地稳定关系;一个地区的人口数对该地区私营企业就业人数的作用大于人均GDP对该地区私营企业就业人数的作用。

关 键 词:私营企业就业人数  主成分分析  面板数据

Panel Data Analysis of Private Sector Employment
LIANG Hui-ling , LIN Yu-rui. Panel Data Analysis of Private Sector Employment[J]. SCIENCE TECHNOLOGY AND INDUSTRIAL, 2015, 15(2): 132-136
Authors:LIANG Hui-ling    LIN Yu-rui
Affiliation:LIANG Hui-ling;LIN Yu-rui;School of Computer and Information,Fujian Agriculture and Forestry University;
Abstract:To analyze the current situation of our country private enterprise employment, based on the population, per capita GDP, the number of institutions of higher learning, and the number of graduating from high school as indexes, select 31 provinces of China from 2001 to 2008 annual time series data as sample data to analyze our country private enterprise employment. First, divide the 31 provinces and cities into seven areas: Beijing, Shanghai, northeast, north China, east China, central China and the west, and the annual data of 31 provinces and cities of the corresponding processing. Then, to our country 2001-2008 panel data on seven areas to merge, using SPSS software for the population, per capita GDP, the number of institutions of higher learning, and the number of graduating from high school principal component analysis, the four indexes that population and GDP per capita the two main indicators. Then, the 2001-2001 year seven areas of private sector employment in our country, population and GDP per capita of panel data, through the unit root test and cointegration test, so as to use cross section and time and index of 3 d information panel data model to our country private enterprise employment and population and per capita GDP of the relations between the two measures for panel data analysis.
Keywords:private enterprise employment  principal component analysis  panel data
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