| Title |
Socio-economic and environmental drivers of green innovation: evidence from nonlinear ARDL |
| ID_Doc |
31852 |
| Authors |
Jin, C; Shahzad, M; Zafar, AU; Suki, NM |
| Title |
Socio-economic and environmental drivers of green innovation: evidence from nonlinear ARDL |
| Year |
2022 |
| Published |
Economic Research-Ekonomska Istrazivanja, 35, 1 |
| DOI |
10.1080/1331677X.2022.2026241 |
| Abstract |
The adoption of green technology is imperative to realise sustainable development. Considering the same, this study explores the drivers of Green Innovation (GI) based on the theoretical foundation of the Triple Bottom Line (environmental, social, and economic factors) with the integration of information and communication technologies (ICT) and institutional governance (INST) in Pakistan. This study employs a nonlinear autoregressive distributed lag (NARDL) framework on quarterly data from Q1-1996 to Q4-2019. The results reveal that positive shocks in human capital (HCI) instigate GI by 1.05%, while negative shock undermines GI by 0.93%. Similarly, positive shocks in carbon dioxide (CO2) emissions increase GI by 0.63%, while any negative shock undermines GI by 0.01%. On the other hand, positive shock in ICT leads to 0.55% advanced GI; however, this effect turned stronger in negative shocks, which leads to reduced GI by 0.78% in the long-run. These results confirm the asymmetricity because positive and negative shocks in HCI, CO2 emissions, and ICT instigated GI differently. Finally, INST and GDP contribute to enhancing GI by 0.12% and 1.69%, respectively. The results indicate that the Pakistan government should improve institutional governance, adapt, and focus on sustainable practices with ICT integration to promote green technologies. |
| Author Keywords |
Green innovation; environmental sustainability; information and communication technologies; carbon dioxide emissions; sustainable development |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000746796000001 |
| WoS Category |
Economics |
| Research Area |
Business & Economics |
| PDF |
https://doi.org/10.1080/1331677x.2022.2026241
|