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• W3169960167 startingPage "112370" @default.
• W3169960167 abstract "Green innovation is of great significance to promote high-quality growth of the national economy and reduce the load on the ecological environment. This study constructs a two-stage SBM-DEA model including energy and undesirable output to measure green innovation efficiency. Tobit model is used to analyze the impact of input variables and influencing factors. The main results are as follows: achievement transformation, technology development and green innovation efficiency in each region all show a trend of fluctuating growth, and green innovation efficiency in the eastern region has always been in a leading position. The total current volumes of R&D personnel and government support strength have a positive relationship and the intensity of R&D funding and environmental protection investment has a negative relationship with the technology development. The number of patent applications and the openness degree to the outside world are positively related to the achievement transformation, and the investment of new products and energy is negatively related to the achievement transformation. Through the comparative analysis of the innovation efficiency differences among different regions, the paper analyzes the main influencing factors, and puts forward countermeasures and suggestions to provide certain theoretical reference for the sustainable and healthy development of China's various regions." @default.
• W3169960167 created "2021-06-22" @default.
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• W3169960167 date "2021-09-01" @default.
• W3169960167 modified "2023-10-09" @default.
• W3169960167 title "Spatial heterogeneity and evolution trend of regional green innovation efficiency--an empirical study based on panel data of industrial enterprises in China's provinces*" @default.
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• W3169960167 doi "https://doi.org/10.1016/j.enpol.2021.112370" @default.
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