Abstract
The determinants of innovation output in empirical literature were extensively investigated by considering diverse sets of variables. Still, the impact of economic policy uncertainty on innovation output is yet to unleash. To mitigate the existing research gap, the study investigated the association between EPU and innovation output, considering a panel of 22 countries over 1997–2018. The study employed a dynamic panel quantile regression and system-GMM specification causality test for discovering elasticity and directional association both in the long-run and the short-run. Study findings disclosed negative statistically significant effects running from EPU to innovation output except innovation measured by R&D. Moreover, institutional quality and FDI exposed positive and statistically significant association with innovation output. In terms of directional causality, unidirectional causality running from EPU and FDI to innovation output was established, whereas bidirectional causality was established between institutional quality and innovation output.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details



1 School of Business and Economics, United International University, Dhaka 1212, Bangladesh
2 Finance Department, Effat College of Business, Effat University, Jeddah 21478, Saudi Arabia;
3 Hailey College of Banking and Finance (HCBF), University of the Punjab, Lahore 54000, Pakistan;
4 Hailey College of Commerce (HCC), University of the Punjab, Lahore 54000, Pakistan;