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Income distribution and CO2 emission: A comparative analysis for China and India
- Source :
- Renewable and Sustainable Energy Reviews. 74:1336-1345
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- The aim of this paper is to test whether income inequality contributes to environmental degradation in China and India, where both countries are giving a great concern about the implications of their unsustainable energy consumption to the environment not only to themselves but also to the global environmental sustainability. By applying the bounds test approach to cointegration we found in both countries a long-run but not a statistically significant relationship between income inequality and CO 2 emissions both in the long-run and in the short-run. The robustness of our cointegration results is also ascertained by using three different long-run tests. Furthermore, applying the variance decomposition analysis to examine the dynamic causal relationship between the Gini coefficient of income distribution and CO 2 emissions, we found that income inequality was the least important factor in determining CO 2 emissions and that there was no causality running in any direction between CO 2 emissions and income inequality in both countries. Still income and energy consumption are the major determinants of CO 2 emissions in both countries. Nevertheless, even though the evidence is not statistically significant, in the case of China it indicates that reducing income inequality can have a positive impact on environmental quality, while in India redistributing income to improve environmental degradation may not be effective.
- Subjects :
- Cointegration
Gini coefficient
Renewable Energy, Sustainability and the Environment
business.industry
020209 energy
02 engineering and technology
International trade
Income inequality metrics
Economic inequality
Income distribution
Sustainability
0202 electrical engineering, electronic engineering, information engineering
Variance decomposition of forecast errors
Econometrics
Economics
business
Environmental degradation
Subjects
Details
- ISSN :
- 13640321
- Volume :
- 74
- Database :
- OpenAIRE
- Journal :
- Renewable and Sustainable Energy Reviews
- Accession number :
- edsair.doi...........6cfe79d34d4a2442f8f368ce19fabefd