摘要
采用1978-2006年的时间序列数据,建立了分析框架和理论假设,以天津市为例,用广义最小二乘法和岭回归法对影响城市服务业的因素进行实证研究,以克服模型中的共线性和序列相关。结果显示:经济发展水平、对外开放水平、基础设施建设、体制改革和技术创新对于服务业的发展有着显著的影响,而城市化水平、信息化水平和人力资源水平的影响不显著。
In order to hurdle multicollinearity and autocorrelation in model, this paper applies generalized least-square method and ridge regression to analyzing influencing factors of Tianjin service industry, which based on time series data from 1978-2006,. The result shows that development of economy, external opening, construction of basic establishment, reform of system and innovation of technology influence service industry＇s development greatly. On the other hand, urbanization level, informatization level and human resources level are lesser factors.
出处
《科学学与科学技术管理》
CSSCI
北大核心
2008年第12期86-91,共6页
Science of Science and Management of S.& T.
关键词
服务业
影响因素
岭回归法
广义最小二乘法
实证分析
service industry
influencing factors
ridge regression
generalized least-squares method
empirical analysis
