科技和产业
科技和產業
과기화산업
SCIENCE TECHNOLOGY AND INDUSTRIAL
2015年
2期
132~136
,共null页
私营企业就业人数 主成分分析 面板数据
私營企業就業人數 主成分分析 麵闆數據
사영기업취업인수 주성분분석 면판수거
private enterprise employment; principal component analysis; panel data
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。
為對我國私營企業就業人數的現狀進行分析,以人口、人均GDP、高等學校數和高等學校畢業人數為指標,選取我國2001-2008年31箇省市的多指標麵闆數據對我國私營企業就業人數進行分析。結果錶明:私營企業就業人數、人口和人均GDP均為非平穩序列,私營企業就業人數與人口和人均GDP之間存在著顯著地穩定關繫;一箇地區的人口數對該地區私營企業就業人數的作用大于人均GDP對該地區私營企業就業人數的作用。
위대아국사영기업취업인수적현상진행분석,이인구、인균GDP、고등학교수화고등학교필업인수위지표,선취아국2001-2008년31개성시적다지표면판수거대아국사영기업취업인수진행분석。결과표명:사영기업취업인수、인구화인균GDP균위비평은서렬,사영기업취업인수여인구화인균GDP지간존재착현저지은정관계;일개지구적인구수대해지구사영기업취업인수적작용대우인균GDP대해지구사영기업취업인수적작용。
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 2008annual 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 3d 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.