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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Shivam | - |
| dc.date.accessioned | 2026-06-15T10:14:33Z | - |
| dc.date.available | 2026-06-15T10:14:33Z | - |
| dc.date.issued | 2022-04 | - |
| dc.identifier.uri | http://localhost:8081/jspui/handle/123456789/21108 | - |
| dc.guide | Nayak, Diptimayee | en_US |
| dc.description.abstract | To support the Environmental Kuznets Curve (EKC) theory, this study experimentally evaluates the co-integrating connection among variables in India, including carbon emissions, economic amplification, square of economic amplification, total energy generation, economic structure, & trade volume. The EKC hypothesis is not supported by the results of the ARDL bounds testing technique for co-integration for the period 1960–to 2020. As a result, the Inside this case of India, the EKC hypothesis doesn't really hold true since the correlations between carbon emissions & economic development are not substantial. Furthermore, the research shows that energy supply & carbon emissions have a considerable positive association. An increase in power supply that is commensurate to the increase in dem& results in a more enormous rise in carbon emissions. To deal with the beneficial power's effect on carbon dioxide emissions, the research proposes that country increase its renewable & clean energy-producing capacity as soon as possible. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | IIT Roorkee | en_US |
| dc.subject | India, Co2 Emission,” Environmental Kuznets Curve (EKC), Autoregressive Distributed Lag” (ARDL), Economic Structure (ES), Energy Generation (ENG). | en_US |
| dc.title | Environmental Kuznets Curve Analysis in India for CO2 Emission using ARDL Framework | en_US |
| dc.type | Dissertations | en_US |
| Appears in Collections: | MASTERS' THESES (HSS) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 20617023_Shivam.pdf | 799.12 kB | Adobe PDF | View/Open |
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