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唐山生产性服务业与制造业互动发展关系探讨——基于VAR模型的实证检验
引用本文:杨 洁,孙 超,辛 灵.唐山生产性服务业与制造业互动发展关系探讨——基于VAR模型的实证检验[J].唐山学院学报,2015,28(6):76-79.
作者姓名:杨 洁  孙 超  辛 灵
作者单位:华北理工大学 经济学院,河北 唐山 063009,华北理工大学 经济学院,河北 唐山 063009,华北理工大学 经济学院,河北 唐山 063009
基金项目:唐山市社科联2015年立项课题(TSSKL2015-160)
摘    要:生产性服务业从制造业内部发展起来,又贯穿于制造业发展的始终。探索两者之间的相关性,对推动产业结构调整与经济结构调整具有重要意义。文章应用向量自回归模型(简称VAR模型)探讨了唐山生产性服务业和制造行业之间的互动关系。实证检验结果表明:唐山生产性服务业与制造业之间存在持久稳定的均衡关系,生产性服务业子行业对制造业具有不同的影响效果。唐山生产性服务业对制造业的冲击作用由积极变消极。建议选择性地发展生产性服务业,且政府应加大对生产性服务业的财政投入,注重相关人才培养,加快构建市场平台。

关 键 词:生产性服务业  制造业  VAR模型  唐山
收稿时间:2015/9/29 0:00:00

On the Relationship Between Producer Service Industries and Manufacturing Industries in Tangshan: a Empirical Test Based on VAR Model
YANG Jie,SUN Chao and XIN Ling.On the Relationship Between Producer Service Industries and Manufacturing Industries in Tangshan: a Empirical Test Based on VAR Model[J].Journal of Tangshan College,2015,28(6):76-79.
Authors:YANG Jie  SUN Chao and XIN Ling
Institution:School of Economics, North China University of Technology, Tangshan 063009, China,School of Economics, North China University of Technology, Tangshan 063009, China and School of Economics, North China University of Technology, Tangshan 063009, China
Abstract:Producer services derived from manufacturing industries, but are attached to it.   is of great significance for the promotion of both industrial structure adjustment and economic structure adjustment to explore the correlation between them.  e authors of this paper have studies the correlation between producer service industries and manufacturing industries in Tangshan through vector auto-regression model(VAR).  e results show that there is a lasting and stable equilibrium relationship between the producer service industries and the manufacturing industries in Tangshan, that the influence of producer services sub-industries on the manufacturing industries are many and varied, and that the impact of producer services on the manufacturing industries in Tangshan is positive.  e authors suggest that the government should increase the financial investment in productive service industry and pay more attention to the personnel training, and accelerate the construction of the marketing platforms.
Keywords:
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