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      The impact of foreign direct investment on green innovation efficiency: Evidence from Chinese provinces

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          Abstract

          Improving green innovation efficiency (GIE) is the key to achieve high-quality economic development in China, and the introduction of foreign direct investment (FDI) has become an important path choice to promote the GIE. Based on the data of 30 provinces in China, this paper explores the linear and nonlinear effects of FDI on GIE from both quantity and quality perspectives, and further analyzes the mediating role of environmental regulation level. The results show that: (1) From 2011 to 2020, the GIE of all provinces in China generally shows an upward trend. (2) The quantity and quality of FDI have a significant positive impact on the improvement of GIE in China’s provinces, and this impact has regional heterogeneity. (3) The quantity and quality of FDI can promote the improvement of GIE in China through the level of environmental regulation (ER). (4) With the level of knowledge accumulation and GIE as the threshold variables, the quantity and quality of FDI have a single threshold effect on the GIE of China’s provinces. The conclusions of this study provide some policy implications for local governments to make full use of FDI to perform green innovation activities.

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          Absorptive Capacity: A New Perspective on Learning and Innovation

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                Author and article information

                Contributors
                Role: Project administrationRole: ResourcesRole: SoftwareRole: Supervision
                Role: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: ResourcesRole: SoftwareRole: SupervisionRole: Validation
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 February 2024
                2024
                : 19
                : 2
                : e0298455
                Affiliations
                [1 ] School of Finance, Harbin University of Commerce, Harbin, China
                [2 ] School of Public Finance and Administration, Harbin University of Commerce, Harbin, China
                University of Sargodha, PAKISTAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0009-0000-0239-5964
                https://orcid.org/0009-0003-1558-298X
                Article
                PONE-D-23-32735
                10.1371/journal.pone.0298455
                10866484
                38354170
                442c589f-52fd-407d-9f26-48892e7b9a4b
                © 2024 Zhong et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 October 2023
                : 23 January 2024
                Page count
                Figures: 5, Tables: 10, Pages: 29
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Social Sciences
                Law and Legal Sciences
                Environmental Law
                Environmental Regulations
                Social Sciences
                Law and Legal Sciences
                Regulations
                Environmental Regulations
                Earth Sciences
                Geography
                Human Geography
                Urban Geography
                Cities
                Social Sciences
                Human Geography
                Urban Geography
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                Asia
                China
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                Sociology
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                Educational Attainment
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                Political Science
                Governments
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                Social Sciences
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                Finance
                Research and Analysis Methods
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                Test Statistics
                Physical Sciences
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                Statistical Methods
                Test Statistics
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Instrumental Variable Analysis
                Physical Sciences
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                Instrumental Variable Analysis
                Custom metadata
                All relevant data are within the paper and its Supporting information files. The data for all indicators used in this paper come from the 2011-2020 China Statistical Yearbook, China Energy Statistical Yearbook, CSMAR database, CNRDS, China Marketization Index Report, and provincial statistical yearbooks.

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