PROGRESS IN GEOGRAPHY ›› 2014, Vol. 33 ›› Issue (7): 1000-1008.doi: 10.11820/dlkxjz.2014.07.015
• Orginal Article • Previous Articles
Yanwen SHI1(), Erling LI1(
), Xiaojian LI1,2
Online:
2014-07-25
Published:
2014-07-25
CLC Number:
Yanwen SHI, Erling LI, Xiaojian LI. Innovation efficiency and influencing factors:analysis of 32 enterprises in the Shouguang vegetable industrial cluster of Shandong Province[J].PROGRESS IN GEOGRAPHY, 2014, 33(7): 1000-1008.
Tab.2
Descriptive statistics of innovation input and output indicators of agricultural enterprises"
指标维度 | 指标 | 均值 | 标准差 | 最大值 | 最小值 |
---|---|---|---|---|---|
投入 | 科研经费投入/万元 | 309.063 | 452.444 | 2000.000 | 10.000 |
科研人员投入/人 | 22.719 | 24.936 | 100.000 | 2.000 | |
合作企业数量/家 | 4.313 | 2.494 | 11.000 | 1.000 | |
土地投入/公顷 | 3774.063 | 8946.092 | 50000.000 | 20.000 | |
合作科研院校/家 | 1.500 | 1.566 | 5.000 | 0.000 | |
产出 | 新品种/种 | 12.063 | 13.026 | 50.000 | 1.000 |
新产品利润收入/万元 | 5633.497 | 11629.431 | 53333.300 | 10.000 |
Tab.4
Calculated enterprise innovation efficiency values for agricultural industrial cluster using DEA"
DMU | TE | PTE | SE | RTS | DMU | TE | PTE | SE | RTS |
---|---|---|---|---|---|---|---|---|---|
DMU1 | 1 | 1 | 1 | --- | DMU18 | 1 | 1 | 1 | --- |
DMU2 | 0.986 | 1 | 0.986 | drs | DMU19 | 0.997 | 1 | 0.997 | irs |
DMU3 | 1 | 1 | 1 | --- | DMU20 | 1 | 1 | 1 | --- |
DMU4 | 1 | 1 | 1 | --- | DMU21 | 0.960 | 1 | 0.960 | irs |
DMU5 | 1 | 1 | 1 | --- | DMU22 | 0.800 | 1 | 0.800 | irs |
DMU6 | 0.521 | 0.628 | 0.829 | irs | DMU23 | 1 | 1 | 1 | --- |
DMU7 | 0.378 | 0.378 | 1 | --- | DMU24 | 0.694 | 1 | 0.694 | irs- |
DMU8 | 1 | 1 | 1 | --- | DMU25 | 1 | 1 | 1 | --- |
DMU9 | 1 | 1 | 1 | --- | DMU26 | 1 | 1 | 1 | --- |
DMU10 | 0.777 | 0.788 | 0.986 | irs | DMU27 | 1 | 1 | 1 | --- |
DMU11 | 0.914 | 1 | 0.914 | irs | DMU28 | 1 | 1 | 1 | --- |
DMU12 | 0.320 | 0.353 | 0.907 | irs | DMU29 | 0.532 | 1 | 0.532 | irs |
DMU13 | 1 | 1 | 1 | --- | DMU30 | 0.714 | 0.719 | 0.993 | irs |
DMU14 | 0.461 | 0.462 | 0.998 | drs | DMU31 | 1 | 1 | 1 | --- |
DMU15 | 0.800 | 1 | 0.800 | irs | DMU32 | 1 | 1 | 1 | --- |
DMU16 | 1 | 1 | 1 | --- | Mean | 0.713 | 0.718 | 0.992 | irs |
DMU17 | 1 | 1 | 1 | --- |
Tab.6
Factors affecting agricultural industrial cluster innovation using Tobit regression analysis"
影响因素 | 回归系数 | 标准误差 | T值 | P值 | |
---|---|---|---|---|---|
企业知识技术 吸收扩散能力 | 0.0315* | 0.0182 | 1.7300 | 0.0950 | Pseudo R2=0.6670 Prob>chi2=0.0000 LR chi2(5)=32.60 |
企业规模 | -0.0172 | 0.0265 | -0.6500 | 0.5230 | |
政府财政支持 | 0.9130*** | 0.5200 | 1.7600 | 0.0090 | |
企业家创新精神 | 0.0806** | 0.0331 | 2.4400 | 0.0220 | |
企业外向性 | 0.0308** | 0.0148 | 2.0800 | 0.0470 |
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