Abstract
The 4 th industrial revolution and global decarbonisation are frequently referred to as two interrelated megatrends. Particularly, where the 4 th industrial revolution is expected to fundamentally change the economy, society, and financial systems, it may also create opportunities for a zero-carbon future. Therefore, in the context of UK's legally binding commitment to achieve a net-zero emissions target by 2050, we analyse the role of economic growth, R&D expenditures, financial development, and energy consumption in causing carbon dioxide (CO 2) emissions. Employing the bootstrapping bounds testing approach to examine short- and long-run relationships, our analysis is based on historical data from 1870 to 2017. The results suggest the existence of cointegration between CO 2 emissions and its determinants. Financial development and energy consumption lead to environmental degradation, but R&D expenditures help to reduce CO 2 emissions. The estimated environmental effects of economic growth support the EKC hypothesis. While a U-shaped relationship is found between financial development and CO 2 emissions, the nexus between R&D expenditures and CO 2 emissions is analogues to the EKC. In the context of the efforts to tackle climate change, our findings suggest policy prescriptions by using financial development and R&D expenditures as the key tools to meet the emissions target.
| Original language | English |
|---|---|
| Article number | 120255 |
| Number of pages | 15 |
| Journal | Technological Forecasting and Social Change |
| Volume | 161 |
| Early online date | 1 Sept 2020 |
| DOIs | |
| Publication status | Published - 1 Dec 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 8 Decent Work and Economic Growth
-
SDG 13 Climate Action
Fingerprint
Dive into the research topics of 'UK’s net-zero carbon emissions target: Investigating the potential role of economic growth, financial development, and R&D expenditures based on historical data (1870 - 2017) '. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver