Research Article
A Study on the Measurement and Influencing Factors of Innovation Governance Performance of Hubei Province in China Based on Technology Heterogeneity
Table 1
Comparison of parameters of efficiency measurement methods.
| | Comparison parameters | Semi-parametric estimation | Parametric estimation | Semi-parametric estimation | | Production frontier estimation | Stochastic frontier estimation | DEA | Index method |
| | Production function | Requires predetermination | Requires predetermination | Requires predetermination | Unnecessary | Unnecessary | | Best frontier | Not sensitive | Not sensitive | Not sensitive | Affects efficiency estimation | Sensitive | | Sample size | Moderate | Moderate | Large sample | Small sample is feasible | Small sample is feasible | | Multicollinearity of input indicators | May affect parametric estimation | May affect parametric estimation | May affect parametric estimation | No effect | No significant effect | | Measurement error | Uncertain | Error less than DEA | Measurement error can be reduced by distribution assumptions | Highly sensitive | Impact exists | | Statistical test | Usable | Usable | Usable | Usable | Unusable |
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