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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Measuring Green Innovation Efficiency for China's High-Tech Manufacturing Industry: A Network DEA Approach
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Measuring Green Innovation Efficiency for China's High-Tech Manufacturing Industry: A Network DEA Approach

机译：衡量中国高技术制造业绿色创新效率：一种网络DEA方法

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摘要

Earlier studies on the innovation process in the high-tech manufacturing industry failed to take environmental pollution into account, making it difficult to estimate green innovation efficiency in the industry. From a perspective of innovation value chain, this paper decomposes green innovation process in the high-tech manufacturing industry into two stages: R&D stage and achievement transformation stage; a network DEA approach considering undesirable outputs is utilized to estimate the green innovation efficiency in China's high-tech manufacturing industry. Compared with the method of conventional innovation efficiency without considering environmental pollution, the estimation method for green innovation efficiency can not only avoid bias of estimation results of provinces producing low pollution emissions like Inner Mongolia and Hainan but also reflect the volatility in efficiency of the high-tech manufacturing industry before and after the implementation of the environmental law.
机译：早期对高技术制造业创新过程的研究未能将环境污染考虑在内，难以估算该行业的绿色创新效率。本文从创新价值链的角度，将高技术制造业的绿色创新过程分解为两个阶段：研发阶段和成果转化阶段;采用考虑不良产出的网络DEA方法估算中国高技术制造业的绿色创新效率。与不考虑环境污染的传统创新效率估算方法相比，绿色创新效率估算方法既能避免内蒙古、海南等低污染排放省份估算结果的偏差，又能反映环保法实施前后高技术制造业效率波动性。

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