Sustainable Innovation Governance: An Analysis of Regional Innovation with a Super Efficiency Slack-Based Measure Model

Abstract

As China is undergoing economic transformation and facing increasing energy and environmental problems, it is essential to pay special attention to sustainable innovation governance. This research took industrial waste and total energy consumption into consideration and uses a super efficiency slack-based measure (SBM) model to empirically evaluate the regional innovation efficiency of Chinese provinces. The results showed that the efficiency of China’s regional sustainable innovation has not changed significantly over recent years. In addition, the results also showed large and varying degrees of innovation efficiency across different provinces. Eastern China, in comparison to central and western China, showed higher innovation efficiency. In addition, we found a slightly increasing trend in terms of innovation efficiency disparities between the three areas. On the basis of these findings, the reasons for the innovation efficiency gap between different regions were analyzed. The impacts of influential factors on sustainable innovation efficiency were further explored. We found that technology market maturity affected sustainable innovation efficiency positively, while government funding had a negative impact on sustainable innovation efficiency. Industrial structure and environmental regulations had no significant effect on sustainable innovation efficiency. Finally, some implications for improving governance performance in terms of sustainable innovation were provided.

Environmental concerns of financial inclusion and economic policy uncertainty in the era of globalization: evidence from low & high globalized OECD economies

“…Sagi et al (2021) argued that EPU has an influence on Carbon dioxide emissions thru the direct policies of the government that may enhance or impede environmental damages. While Das et al (2019) explained EPU as a factor of stock market, Xu et al (2020) analyzed business innovation, and Levenko (2020) addresses uncertainty as determinant of savings. Climatic fluctuations are essential in economic analysis and policy advice, according to the recent climate scientific research (Golub et al 2017;Workman et al 2020).…”

The nexus between climate change risk and financial policy uncertainty

“…Through the direct policies of the government, EPU has an impact on carbon dioxide emissions. Xu et al (2020) highlight the importance of sustainable innovation governance for mitigating environmental concerns. Levenko (2020) focus on uncertainty as a determinant of savings, whereas Das et al (2019) examine the relevance of EPU for emerging markets.…”

The Perception of Occupational Safety and Health (OSH) Regulation and Innovation Efficiency in the Construction Industry: Evidence from South Korea

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