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基于空间面板数据模型的河南省固定资产投资经济效应研究
引用本文:吕登高,李明东,王如渊,李双平.基于空间面板数据模型的河南省固定资产投资经济效应研究[J].西华师范大学学报(哲学社会科学版),2013(4):377-383.
作者姓名:吕登高  李明东  王如渊  李双平
作者单位:西华师范大学区域经济研究所,四川南充637009
摘    要:固定资产投资在经济快速发展的过程中一直扮演着举足轻重的作用.本文运用空间面板数据分析方法,通过建立空间面板数据模型来研究2002-2011年河南省18个地区固定资产投资所产生的空间经济效应.研究表明:河南省固定资产投资不仅对投资所在地具有强大正向直接经济效应,而且还存在着显著的空间外溢性,其中新乡的空间外溢性最强,洛阳、南阳、周口、驻马店、平顶山、郑州和开封等地区次之;而三门峡、商丘、信阳和济源的溢出效应则较弱.为了追求更加稳健的经济增长,相关部门可适当调整各地区的固定资产投入,以产生更大的经济效益.

关 键 词:固定资产投资  经济增长  空间经济效应  空间面板数据模型  河南省

Research on Economic Effects of Fixed Asset Investment in Henan Province:Based on the Spatial Panel Data Model
LV Deng-gao,LI Ming-dong,WANG Ru-yuan,LI Shuang-ping.Research on Economic Effects of Fixed Asset Investment in Henan Province:Based on the Spatial Panel Data Model[J].Journal of China West Normal University:Natural Science Edition,2013(4):377-383.
Authors:LV Deng-gao  LI Ming-dong  WANG Ru-yuan  LI Shuang-ping
Institution:( Regional Economic Research Institute,China West Normal University, Nanchong 637009)
Abstract:Fixed asset investment has always played an important role in the process of rapid economic develop- ment. with spatial panel data analysis method and based on spatial panel data model, this paper researches the eco- nomic effects of fixed asset investment in 18 regions of Henan province from 2002 to 2011. Research shows that not only high direct effects on economic increasing of each district invested are obvious, but also significant spatial eco- nomic spillover effects are shown to other regions in Henan province. Of all the 18 regions, Xinxiang,Luoyang, Nanyang,Zhoukou,Zhumadian, Pingdingshan, Zhengzhou and Kaifeng rank higher than others in spillover effects. On the other hand, the last 4 regions in low spillover effects include Sanmenxia, Shangqiu, Xinyang and Jiyuan in turn. For the pursuit of a more robust economic growth, relevant departments can properly adjust the investment in fixed assets to generate greater economic benefits.
Keywords:investment in fixed aassets  economic growth  spatial economic effects  spatial panel data model  Henan province
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