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我国城市服务外包产业竞争力影响因素的空间计量分析——-基于全国第二次经济普查数据的研究
引用本文:吴燕,苏武江,齐延信. 我国城市服务外包产业竞争力影响因素的空间计量分析——-基于全国第二次经济普查数据的研究[J]. 贵州财经学院学报, 2012, 30(5): 17-24
作者姓名:吴燕  苏武江  齐延信
作者单位:1.华中科技大学经济学院,湖北武汉 430074;2.北京理工大学珠海学院,广东珠海 519085
基金项目:国家统计局第二次全国经济普查资料开发应用课题“城市服务外包产业竞争力评价研究——基于全国经济普查数据的分析研究”(课题编号:JP042)
摘    要:现有研究由于数据限制,很难对我国城市服务外包竞争力做出全面评价。本文基于全国第二次经济普查数据,运用因子分析模型、空间变系数GWR模型和空间计量的SAR模型,对我国20个城市服务外包产业竞争力主要影响因素进行分析。分析结果表明,我国城市服务外包产业竞争力主要影响因素为相关产业成熟度和科技创新能力;空间和地理邻近城市发挥出的作用并不明显,而空间区域相关性非常明显;考虑到区域相关性以后,相关产业成熟度对服务外包竞争力的贡献会下降,而科技创新能力的贡献会上升。

关 键 词:服务外包  影响因素  因子分析模型  GWR模型  SAR模型  
收稿时间:2012-06-25

Spatial Econometrics Analysis of Competitiveness Influencing Factors of City Service Outsourcing Industry-Based on the second national economic census data
WU Yan,SU Wu-jiang,QI Yan-xin. Spatial Econometrics Analysis of Competitiveness Influencing Factors of City Service Outsourcing Industry-Based on the second national economic census data[J]. Journal of Guizhou College of Finance and Economics, 2012, 30(5): 17-24
Authors:WU Yan  SU Wu-jiang  QI Yan-xin
Affiliation:1.School of Economics,Huazhong University of Science and Technology,Wuhan,Hubei,430074,China; 2.Zhuhai Campus,Beijing Institute of Technology,Zhuhai,Guangdong,519085,China)
Abstract:Due to data limitations,the existing research is difficult to evaluate our city service outsourcing industry.Based on the second national economic census data,this paper use the factor analysis model,spatially varying coefficient GWR model and SAR model of spatial econometrics to analysis Competitiveness influencing factors of China’s 20’ City Service Outsourcing industry.Results show that relevant industry maturity and ability of innovation of science and technology are main factors.City spatial and geographic proximity to play a role is not obvious,but the regional correlation is very obvious.Considering the regional correlation,contribution of relevant industry maturity to competitiveness of service outsourcing will decrease,but contribution of the ability of innovation of science and technology will rise.
Keywords:service outsourcing  influencing factors  Factor analysis model  GWR model  SAR model
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