Agglomeration and green technology innovation efficiency of industrial enterprises – based on spatial statistical analysis

Based on China’s provincial panel data from 2009 to 2019, this paper empirically tests and analyzes the effects of industrial agglomeration and other important economic variables on industrial green technology innovation efficiency from the perspective of spatial statistical analysis. The results show that the efficiency of China’s industrial green innovation has not changed much during the study period, exhibiting an obvious polarization phenomenon. Moreover, the improvement of the degree of industrial agglomeration is conducive to the regional green innovation efficiency level. This means that industrial agglomeration produces effective environmental and innovation benefits. In addition, the influence coefficient of enterprise-scale is negative, indicating that for Chinese industrial enterprises, the enlargement of the production scale weakens the promotion effect of R&D activities. The influence coefficient of human capital is negative, mainly because the direct effect has a small and positive value, while the indirect effect (spillover effect) has a negative and large value, indicating that the spillover effect of human capital between regions in China is deficient.

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Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).