PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain
Version 1
: Received: 24 November 2021 / Approved: 25 November 2021 / Online: 25 November 2021 (16:06:00 CET)
How to cite:
Zhang, L.; Liu, P.; Tarbert, H. Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain. Preprints2021, 2021110485. https://doi.org/10.20944/preprints202111.0485.v1
Zhang, L.; Liu, P.; Tarbert, H. Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain. Preprints 2021, 2021110485. https://doi.org/10.20944/preprints202111.0485.v1
Zhang, L.; Liu, P.; Tarbert, H. Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain. Preprints2021, 2021110485. https://doi.org/10.20944/preprints202111.0485.v1
APA Style
Zhang, L., Liu, P., & Tarbert, H. (2021). Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain. Preprints. https://doi.org/10.20944/preprints202111.0485.v1
Chicago/Turabian Style
Zhang, L., Pengzhen Liu and Heather Tarbert. 2021 "Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain" Preprints. https://doi.org/10.20944/preprints202111.0485.v1
Abstract
Green innovation has become an important combination of high-quality economic growth and sustainable development of ecological environment. In this paper, the super-efficiency network SBM model is used to measure the two-stage green innovation efficiency of industrial science and technology R&D and achievement transformation in 30 provinces and cities from 2009 to 2019, and exploratory Data Analysis (ESDA) and spatial econometric model are used to investigate the spatial-temporal evolution characteristics and influencing factors of green innovation efficiency. The results show that: firstly, the overall efficiency of industrial green innovation is low, and the efficiency of scientific research and development and achievement transformation has experienced three stages of "upward-declining-revitalized period". The low efficiency of achievement transformation is an important factor hiding the improvement of the efficiency of industrial green innovation. Secondly, The industrial green innovation efficiency gradually increases from northwest to southeast, forming a centralized "line" and "block" distribution. The high efficiency area is still concentrated in the eastern coastal region, and the balanced development trend is obvious in the central and western regions. Finally, openness has a positive impact on the two-stage green innovation efficiency; Industrial structure and government investment in science and technology have a positive impact on the efficiency of science and technology research and development, but have no significant effect on the efficiency of achievement transformation. Enterprise size has a positive effect on achievement transformation efficiency, but has no significant effect on R&D efficiency. Environmental regulation has a positive impact on R&D efficiency and a negative impact on achievement transformation efficiency.
Keywords
Industrial green innovation efficiency; Innovation value chain perspective; Super-efficient network SBM model; Spatial Dubin model
Subject
Social Sciences, Geography, Planning and Development
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
