This study is the first attempt to scrutinize the causal relationship between economic policy uncertainty (EPU) and innovation in the case of China, using the autoregressive distributed lag (ARDL) approach to co-integration approach of innovation accounting for causality analysis. The empirical findings show that EPU can negatively affect innovation. EPU indicates a significantly negative impact on innovation as well as on the gross domestic product (GDP) growth rate. The combined results based on ARDL, innovation accounting approach (IAA) (variance decompositions and impulse response functions), and fully modified ordinary least square (FMOLS) raise an important point that calls for attention. The point is relating to the causality running from EPU to innovation. The future of China is uncertain, so when the economic uncertainty is higher, it lowers the value of future activities of the economy of China.
Numerous economies focus on attaining a clean environment by applying environmental policies and green technology. This study examined the impact of GDP growth, non-renewable, technological change, environmental tax, and strict regulations on an ecological footprint for the Organization for Economic Cooperation and Development (OECD) and Non-OECD (not members of OECD) economies from 1990 to 2015. This analysis applied the Cross-Sectionally Augmented Auto-Regressive Distributed Lag (CS-ARDL) to identify the role of GDP, and environmental taxes, with selected control factors on ecological degradation. These CS-ARDL techniques resolve the issues of slope heterogeneity, endogeneity, and cross-sectional dependence. For robustness, this study used Augmented Mean Group (AMG), and Common Correlated Effect Mean Group (CCEMG) tests to check the long-run association between variables. The empirical findings of CS-ARDL have confirmed that environmental taxes, stringent environmental policies, and ecological innovation significantly improve environmental quality in OECD compared to the Non-OECD countries. The D-H panel Granger causality test results show the unidirectional causality moving from environmental tax to ecological footprint, which referred to the “green dividend” hypothesis of minimizing environmental degradation. Using AMG and CCEMG tests for Robustness checks indicates that environmental taxes and tight environmental policy can effectively improve the environment’s quality in both regions. Hence, environmental protection awareness is forcing policymakers to minimize the impact of environmental degradation to achieve sustainable growth.
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