中国高新技术产业开发区的知识基础及其创新效应——基于国家级高新区上市企业的研究
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林剑铬, 夏丽丽, 蔡润林, 蔡虹绮
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The knowledge bases of China's High-Tech Industrial Development Zones and their effects on innovation: A study on the listed enterprises
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LIN Jiange, XIA Lili, CAI Runlin, CAI Hongqi
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表4 OLS多元线性回归与GWR模型的参数估计与拟合检验
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Tab. 4 Parameter estimations and fitting tests of OLS multiple linear regression models and GWR models
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| 因变量：技术收入 | | 因变量：产品销售收入 | | 因变量：商品销售收入 | | 模型1(OLS) | 模型2(GWR) | 模型3(OLS) | 模型4(GWR) | 模型5(OLS) | | 参数估计 | | | | | | | | | 截距 | -115.76 | | 70.78 | | 90.98* | | 解析型区位商 | 46.83 | 13.16% | | | | | 综合型区位商 | 51.32 | 2.63% | | | | | 象征型区位商 | 78.34 | 0.88% | -180.56 | 18.42% | -140.92** | | 效率型区位商 | | | | | | | 知识基础类型熵值 | -289.71** | 87.72% | 1125.20** | 85.96% | | | R&D人员全时当量 | 0.04** | 100%** | | | -0.01** | | 科技活动经费内部支出 | | | 8.73** | 100%** | | | 象征型区位商×企业个数 | | | | | 0.57** | | 拟合检验 | | | | | | | Koenker (BP)统计量 | 75.84** | | 75.62** | | 1.66 | | F值 | 113.00** | 7.97** | 188.98** | 5.69** | 970.74** | | 调整R2 | 0.83 | 0.94 | 0.83 | 0.91 | 0.96 | | Akaike 信息准则 | 1702.23 | 1613.31 | 1896.10 | 1842.80 | | | 残差平方和 | 17859572.82 | 5186350.54 | 101761953.88 | 47175005.30 | |
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