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      Measuring Green Innovation Efficiency for China’s High-Tech Manufacturing Industry: A Network DEA Approach

      1 , 1 , 2
      Mathematical Problems in Engineering
      Hindawi Limited

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          Abstract

          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.

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          Most cited references36

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          Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan

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            Data envelopment analysis (DEA) – Thirty years on

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              Modelling the innovation value chain

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                Author and article information

                Contributors
                Journal
                Mathematical Problems in Engineering
                Mathematical Problems in Engineering
                Hindawi Limited
                1024-123X
                1563-5147
                August 17 2020
                August 17 2020
                : 2020
                : 1-13
                Affiliations
                [1 ]School of Management, Nanchang University, Nanchang 330031, China
                [2 ]School of Economics and Management, China Three Gorges University, Yichang 443002, China
                Article
                10.1155/2020/8902416
                453b241f-315b-464e-82f6-eef487acd740
                © 2020

                http://creativecommons.org/licenses/by/4.0/

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