Analysis on Spatio-temporal Characteristics and Influencing Factors of Industrial Green Innovation Efficiency——From the Perspective of Innovation Value Chain

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.

Research on Green Technology Innovation Efficiency of Industrial Enterprises in Qinghai Province

“…Based on the SBM (Slack-Based Model) model, Tone further proposed the super-efficient SBM model (Super-SBM), which solves the problem of difficult sorting and comparison when multiple decision units being evaluated reach the effective value of 1 [16] . As the research progressed, it was found that the SBM model and other DEA models usually treat the production behavior of enterprises as a "black box" for single-stage efficiency measurement, and the measurement results and analysis lack realistic guidance [17] . In response to this problem, Tone constructed the network SBM model, a non-radial, non-angle efficiency measurement model based on slack variables, which can measure not only the overall efficiency value of the decision unit, but also the stage efficiency value, which is conducive to researchers to comprehensively analyze the technological innovation efficiency of the research object and make objective accurate judgment [18] .…”

Green Technology Innovation, Energy Consumption Structure and Sustainable Improvement of Enterprise Performance

“…In addition, the coal-dominated energy consumption structure of enterprises can only achieve substantial transformation through technological innovation. In turn, the transformation of energy consumption supply and demand structure further stimulates the sustainable development of green technology innovation [30]. Therefore, the author proposes the following hypothesis:…”