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      The impact of technology transfer on the green innovation efficiency of Chinese high-tech industry

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          Abstract

          Promoting technology transfer is an important strategic measure for China to promote industrial innovation. However, there is little research exploring the influence of technology transfer on the green innovation efficiency (GIE) of China's high-tech industry (HTI). From the perspective of process, green innovation in HTI is a continuous three-stage system including research and development (R&D), commercialization, and diffusion. Therefore, we measure the GIE of China's HTI by using a three-stage network data envelopment analysis (NDEA) model considering environmental pollution and establish a series of regression models to investigate the role of the two main ways of technology transfer, domestic technology acquisition (DTA) and foreign technology introduction (FTI), in improving the GIE of HTI. The results show that the average GIE of China's HTI is 0.7727 from 2011 to 2020. Except for Jiangsu, Guangdong, Qinghai, and Xinjiang, green innovation in HTI in other provinces in China is inefficient. DTA has significantly promoted GIE in HTI. FTI has a positive impact on the GIE of HTI but is not statistically significant. The robustness test confirmed these results. This study is helpful to understand the differences between the effects of DTA and FTI on the GIE of China's HTI, to provide a basis for adjusting technology transfer policies.

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          Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms

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            Is Free Trade Good for the Environment?

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              Innovation objectives, knowledge sources, and the benefits of breadth

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                Author and article information

                Contributors
                Journal
                Front Sociol
                Front Sociol
                Front. Sociol.
                Frontiers in Sociology
                Frontiers Media S.A.
                2297-7775
                17 July 2023
                2023
                : 8
                : 1141616
                Affiliations
                [1] 1China Three Gorges University Library, China Three Gorges University , Yichang, China
                [2] 2Research Center for China Industry-University-Research Institute Collaboration of Wuhan University, Wuhan University , Wuhan, China
                Author notes

                Edited by: Piotr Toczyski, The Maria Grzegorzewska University, Poland

                Reviewed by: Lucian Belascu, Lucian Blaga University of Sibiu, Romania; Inna Cabelkova, Czech University of Life Sciences Prague, Czechia

                *Correspondence: Feng Peng pengfeng@ 123456whu.edu.cn
                Article
                10.3389/fsoc.2023.1141616
                10388581
                bb8ea755-ce71-449e-811b-5a47465c8642
                Copyright © 2023 Zhou and Peng.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 February 2023
                : 29 June 2023
                Page count
                Figures: 1, Tables: 6, Equations: 3, References: 61, Pages: 10, Words: 7011
                Funding
                This research was funded by the Project of Humanities and Social Sciences of Ministry of Education of China, Grant No. 18YJC630131.
                Categories
                Sociology
                Original Research
                Custom metadata
                Urban Ecology

                green innovation efficiency,technology transfer,environmental pollution,high-tech industry,three-stage network data envelopment analysis

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