PROGRESS IN GEOGRAPHY ›› 2019, Vol. 38 ›› Issue (6): 861-871.doi: 10.18306/dlkxjz.2019.06.007
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Yanwen SHI1(), Erling LI2, Xiaojian LI1,2, Shixin REN2
Received:
2018-12-11
Revised:
2019-03-06
Online:
2019-06-28
Published:
2019-06-27
Supported by:
Yanwen SHI, Erling LI, Xiaojian LI, Shixin REN. Innovation pathways and spillover effects of agricultural industrial clusters: A case of vegetable production industrial cluster in Shouguang City, Shandong Province[J].PROGRESS IN GEOGRAPHY, 2019, 38(6): 861-871.
Tab.3
Variable definition and descriptive statistics"
变量 | 定义 | 均值 | 标准差 | 最小值 | 最大值 |
---|---|---|---|---|---|
企业创新效率(EIE) | 基于Input-BC2模型测度的企业创新效率 | 0.8499 | 0.1136 | 0.5800 | 1.0000 |
资产规模 (AS) | 以企业固定资产反映规模状况(万元) | 21914 | 43074 | 50.0000 | 200000 |
地理空间邻近距离(GP) | 集群企业间空间邻近平均距离的倒数 | 0.0794 | 0.2941 | 0.1044 | 0.0481 |
本地企业网络中心度(CLE) | 集群企业本地网络关系点度中心度 | 4.3125 | 2.8561 | 1.0000 | 14.0000 |
本地企业网络结构洞指数(SHILE) | 集群企业在本地网络中所处位置 | 0.4893 | 0.2335 | 0.2000 | 1.1300 |
官产学研网络中心度(CGIUI) | 集群企业在与政府、高校、研究机构组成网络的中心度 | 3.3920 | 2.9100 | 1.0000 | 14.0000 |
官产学研网络结构洞限制度(SHLGIUI) | 集群企业在与政府、高校、研究机构组成网络中所处位置 | 0.3892 | 0.2950 | 0.0910 | 1.0000 |
全球网络中心度(CG) | 集群企业与海外企业或机构组成网络的中心度 | 1.6720 | 2.9100 | 0 | 8.0000 |
全球网络结构洞限制度(SHLG) | 集群企业在与海外企业或机构组成网络中所处位置 | 0.1856 | 0.2940 | 0 | 1.0000 |
Tab.4
Ordinary least squares (OLS) estimation results and diagnostic test"
变量 | 系数 | 标准差 | VIF | P值 | 检验统计量 | 统计量 | P值 |
---|---|---|---|---|---|---|---|
常数项 | 2.3072** | 6.6355 | 0.031 | Breusch-Pagan | 11.2160 | 0.189 | |
lnAS | 0.0048 | 0.0172 | 0.766 | 0.782 | Koenker-Bassett | 7.7470 | 0.458 |
lnSHILE | 0.0493*** | 0.0737 | 0.651 | 0.010 | Moran's I | 0.2055** | 0.017 |
lnCLE | 0.0885 | 0.0525 | 0.457 | 0.105 | LMLAG | 1.0064** | 0.015 |
lnGP | 0.0862* | 0.1249 | 0.233 | 0.096 | R-LMLAG | 0.4474*** | 0.003 |
lnCG | 1.2532* | 0.8382 | 0.769 | 0.070 | LMERR | 1.6117*** | <0.001 |
lnSHLG | 1.2594* | 0.8389 | 0.658 | 0.069 | R-LMERR | 1.3854*** | <0.001 |
lnCGIUI | 0.1502 | 0.5328 | 0.308 | 0.780 | |||
lnSHLGIUI | 0.1048 | 0.5025 | 0.880 | 0.836 | |||
调整R2 | 0.2698 | ||||||
LogL | 22.7364 | ||||||
AIC | -25.6352 | ||||||
SC | -10.9778 |
Tab.5
Results of the spatial regression model"
变量 | 空间滞后模型(SLM) | 空间误差模型(SEM) | |||||
---|---|---|---|---|---|---|---|
系数 | 标准差 | P值 | 系数 | 标准差 | P值 | ||
常数项 | 3.4047 | 6.2840 | 0.007 | -1.1897 | 6.0267 | 0.003 | |
空间相关系数 | 0.8276*** | 0.2550 | 0.001 | 0.8404*** | 0.2536 | <0.001 | |
lnAS | 0.0043 | 0.0145 | 0.764 | 0.0116 | 0.0120 | 0.335 | |
lnSHILE | 0.0436*** | 0.0626 | 0.005 | 0.0028*** | 0.0663 | <0.001 | |
lnCLE | 0.0931** | 0.0446 | 0.037 | 0.1158*** | 0.0426 | 0.006 | |
lnGP | 0.0962*** | 0.1065 | 0.006 | 0.1123*** | 0.0700 | <0.001 | |
lnCG | 1.2817** | 0.7079 | 0.048 | 1.6624** | 0.7056 | 0.018 | |
lnSHLG | 1.2866** | 0.7085 | 0.046 | 1.6411** | 0.7051 | 0.019 | |
lnCGIUI | 0.1577 | 0.4501 | 0.725 | 0.5280 | 0.4622 | 0.253 | |
lnSHLGIUI | 0.1091 | 0.4246 | 0.797 | 0.4432 | 0.4352 | 0.308 | |
调整R2 | 0.2754 | 0.3967 | |||||
LogL | 22.8176 | 23.5418 | |||||
AIC | -27.4728 | -29.0837 | |||||
SC | -14.2811 | -15.8921 |
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