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| The Comprehensive Measurement of Innovation Efficiency of China's HighTech Industry based on Environmental Factors |
| Li Wanhong, Liu Fang |
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Abstract Since the influence of environmental factors and random errors is not eliminated, the use of traditional data envelopment analysis (DEA) and stochastic frontier analysis (SFA) to study the innovation efficiency of high-tech industries is likely to cause errors in evaluation results. The three-stage DEA model combined with the two measures and analyzes the innovation efficiency of high-tech industry and its influencing factors, which can ensure the effectiveness of the evaluation results. The research results show that the lack of scale efficiency is the key factor limiting the improvement of China's high-tech industry innovation efficiency. In addition, the openness of the market can significantly promote the innovation efficiency of high-tech industries, while the government subsidies, regional economic development and regional competition are not conducive to the improvement of innovation efficiency. Finally, through cluster analysis of input factors and technical efficiency, 28 provinces and cities in China are divided into four types of innovation types, and policy recommendations for improving the innovation efficiency of high-tech industries are proposed.
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| Fund:国家社会科学基金项目（17BGL204） |
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