Determinants of Renewable Energy Adoption in China and India: A Comparative Analysis
This article examines the dynamic relationships among output, carbon emission and renewable energy generation of India and China during the period 1972 to 2011 using a multivariate vector error correction model (VECM). The results for India reveal unidirectional short-run causality from carbon emiss...
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| Format: | Journal Article |
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Taylor & Francis
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/31606 |
| _version_ | 1848753427161546752 |
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| author | Rafiq, S. Bloch, Harry Salim, Ruhul |
| author_facet | Rafiq, S. Bloch, Harry Salim, Ruhul |
| author_sort | Rafiq, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This article examines the dynamic relationships among output, carbon emission and renewable energy generation of India and China during the period 1972 to 2011 using a multivariate vector error correction model (VECM). The results for India reveal unidirectional short-run causality from carbon emission to renewable energy generation and from renewable energy generation to output, whereas in the long run, the variables have bidirectional causality. Causalities in China give a rather different scenario, with a short-run unidirectional causality from output to renewable energy and from carbon emission to renewable energy generation. In the long run, for China, unidirectional causality is found from output to renewable energy generation, while bidirectional causality is found between carbon emission and renewable energy generation. |
| first_indexed | 2025-11-14T08:24:20Z |
| format | Journal Article |
| id | curtin-20.500.11937-31606 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:24:20Z |
| publishDate | 2014 |
| publisher | Taylor & Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-316062019-02-19T04:28:12Z Determinants of Renewable Energy Adoption in China and India: A Comparative Analysis Rafiq, S. Bloch, Harry Salim, Ruhul vector error correction model causality time series data renewable energy CO2 emission This article examines the dynamic relationships among output, carbon emission and renewable energy generation of India and China during the period 1972 to 2011 using a multivariate vector error correction model (VECM). The results for India reveal unidirectional short-run causality from carbon emission to renewable energy generation and from renewable energy generation to output, whereas in the long run, the variables have bidirectional causality. Causalities in China give a rather different scenario, with a short-run unidirectional causality from output to renewable energy and from carbon emission to renewable energy generation. In the long run, for China, unidirectional causality is found from output to renewable energy generation, while bidirectional causality is found between carbon emission and renewable energy generation. 2014 Journal Article http://hdl.handle.net/20.500.11937/31606 10.1080/00036846.2014.909577 Taylor & Francis fulltext |
| spellingShingle | vector error correction model causality time series data renewable energy CO2 emission Rafiq, S. Bloch, Harry Salim, Ruhul Determinants of Renewable Energy Adoption in China and India: A Comparative Analysis |
| title | Determinants of Renewable Energy Adoption in China and India: A Comparative Analysis |
| title_full | Determinants of Renewable Energy Adoption in China and India: A Comparative Analysis |
| title_fullStr | Determinants of Renewable Energy Adoption in China and India: A Comparative Analysis |
| title_full_unstemmed | Determinants of Renewable Energy Adoption in China and India: A Comparative Analysis |
| title_short | Determinants of Renewable Energy Adoption in China and India: A Comparative Analysis |
| title_sort | determinants of renewable energy adoption in china and india: a comparative analysis |
| topic | vector error correction model causality time series data renewable energy CO2 emission |
| url | http://hdl.handle.net/20.500.11937/31606 |