地理科学 ›› 2017, Vol. 37 ›› Issue (4): 502-511.doi: 10.13249/j.cnki.sgs.2017.04.003
收稿日期:
2016-06-12
修回日期:
2016-10-10
出版日期:
2017-04-25
发布日期:
2017-04-25
作者简介:
作者简介:徐维祥(1963-),男,浙江东阳人,教授,博士生导师,主要从事产业经济与空间计量研究。E-mail:
基金资助:
Weixiang Xu(), Lei Yang, Chengjun Liu, Lingyan Zhang, Lu Li
Received:
2016-06-12
Revised:
2016-10-10
Online:
2017-04-25
Published:
2017-04-25
Supported by:
摘要:
利用区位基尼系数、空间自相关、相对发展率指数(NICH指数)以及空间面板数据模型等分析方法,以长江经济带沿线38个中心城市作为空间观测单元,结合专利授权量等相关数据,研究了创新产出的时空演化特征及其成因。结果表明:2000~2013年长江经济带沿线中心城市的创新产出在整体上逐年增长,地理集中度呈现波动下降趋势;长三角地区相对发展速度较快;创新产出的空间集聚程度表现出反“Z”字形的波动上升态势;创新产出的热点区域由长三角-成渝“双核心”空间结构发展成长三角“单极突出”空间格局,且长三角热点区域范围有所增长,冷点区域则分布在长江中游地带;技术溢出、政府行为、空间区位和金融支持均对长江经济带沿线中心城市的创新产出具有显著地正向影响,经济基础对下游城市具有促进作用。根据研究结论还提出了相应政策建议。
中图分类号:
徐维祥, 杨蕾, 刘程军, 张凌燕, 李露. 长江经济带创新产出的时空演化特征及其成因[J]. 地理科学, 2017, 37(4): 502-511.
Weixiang Xu, Lei Yang, Chengjun Liu, Lingyan Zhang, Lu Li. Temporal-Spatial Evolution Characteristics and Its Causes of Innovation Output in the Yangtze River Economic Belt[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(4): 502-511.
表1
长江经济带沿线中心城市创新产出的回归结果"
变量 | 长江经济带 | 长江下游城市 | 长江中上游城市 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
普通面板 | SAR | SEM | 混合模型 | 普通面板 | SAR | SEM | 混合模型 | 普通面板 | SAR | SEM | 混合模型 | |||
lnEco | 0.158* | 0.022 | 0.164** | -0.035 | 1.549*** | 1.261*** | 1.496*** | 1.122*** | 0.146** | 0.114 | 0.014 | -0.025 | ||
(1.77) | (7.48) | (1.97) | (-0.44) | (5.75) | (4.89) | (5.83) | (5.76) | (1.49) | (1.20) | (0.26) | (-0.33) | |||
lnTec | 0.297*** | 0.251*** | 0.283*** | 0.223*** | -0.16** | -0.158 | -0.137 | -0.312*** | 0.346*** | 0.326*** | 0.405*** | 0.328*** | ||
(4.89) | (4.54) | (4.84) | (4.30) | (-1.16) | (-1.22) | (-1.04) | (-4.06) | (4.96) | (4.93) | (8.15) | (5.85) | |||
lnSpa | 0.353*** | 0.302*** | 0.302*** | 0.287*** | 0.125** | 0.113 | 0.123 | 0.118 | 0.508*** | 0.506*** | 0.481*** | 0.420*** | ||
(4.49) | (4.24) | (4.13) | (4.27) | (0.79) | (0.44) | (0.83) | (1.21) | (5.63) | (5.91) | (6.56) | (5.70) | |||
Inp | 0.031 | -0.054** | -0.053** | -0.040* | 0.032 | -0.035 | -0.031 | -0.057*** | 0.180 | -0.182*** | -0.120*** | -0.157*** | ||
(1.19) | (-2.31) | (-2.24) | (-1.78) | (1.32) | (-1.55) | (-1.34) | (-3.77) | (2.99) | (-3.20) | (-2.74) | (-3.15) | |||
lnGov | 0.249*** | 0.179*** | 0.264*** | 0.128*** | 0.270*** | 0.229*** | 0.273*** | 0.081*** | 0.151*** | 0.137*** | 0.149*** | 0.038 | ||
(8.15) | (6.07) | (8.84) | (4.23) | (5.88) | (4.91) | (6.20) | (2.96) | (3.83) | (3.52) | (4.75) | (1.30) | |||
lnFin | 0.309*** | 0.200*** | 0.261*** | 0.184*** | -0.006* | -0.005 | -0.001 | -0.083 | 0.380*** | 0.317*** | 0.451*** | 0.146 | ||
(3.83) | (2.71) | (3.39) | (2.61) | (-0.06) | (-0.05) | (-0.01) | (-1.36) | (3.19) | (2.70) | (4.86) | (1.59) | |||
λ | — | 0.310*** | — | 0.467*** | — | 0.194** | — | 0.641*** | — | 0.111** | — | 0.517*** | ||
— | (7.48) | — | (6.66) | — | (2.57) | — | (10.43) | — | (1.99) | — | (7.70) | |||
ρ | — | — | 0.248*** | -0.267*** | — | — | 0.035 | -0.862*** | — | — | -0.127* | -0.646*** | ||
— | — | (5.09) | (-2.58) | — | — | (0.40) | (-8.18) | — | — | (-1.74) | (-7.42) | |||
Φ | — | — | — | — | — | — | — | — | — | — | 0.226** | — | ||
— | — | — | — | — | — | — | — | — | — | (2.36) | — | |||
Within-R2 | 0.818 | — | — | — | 0.901 | — | — | — | 0.789 | — | — | — | ||
类别 | 固定效应 | 个体效应 | 个体效应 | 个体效应 | 固定效应 | 个体效应 | 个体效应 | 个体效应 | 固定效应 | 个体效应 | 个体效应 | 个体效应 | ||
N | 532 | 532 | 532 | 532 | 196 | 196 | 196 | 196 | 336 | 336 | 336 | 336 | ||
Hausman | 0.000 | — | — | — | 0.000 | — | — | — | 0.000 | — | — | — |
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