2016
DOI: 10.1016/j.energy.2015.12.109
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Efficient energy consumption in industrial sectors and its effect on environment: A comparative analysis between G8 and Southeast Asian emerging economies

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Cited by 34 publications
(12 citation statements)
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“…This finding is consistent with Shahbaz, Hye, Tiwari, and Leitão (2013) who, using VECM and ARDL approach during 1975Q1 to 2011Q4, found that both energy consumption and economic growth increase CO 2 emissions in Indonesia in both the short term and long term. Similarly, this findings is also consistent with Rahman et al (2016) who found long run nexus between output growth and CO 2 emissions in Indonesia using Toda-Yamamoto approach during 1971-2011. But this finding contradicts with Jafari, Othman, and Nor (2012) who did not find any long-run relationship between economic growth and CO 2 emissions for Indonesia using Toda-Yamamoto approach during 1971-2007 In the case of China, both in the long run and short run, GDP per capita and energy consumption per capita show a significantly positive relationship with per capita CO 2 emissions in both the linear and quadratic models.…”
Section: Discussionsupporting
confidence: 91%
“…This finding is consistent with Shahbaz, Hye, Tiwari, and Leitão (2013) who, using VECM and ARDL approach during 1975Q1 to 2011Q4, found that both energy consumption and economic growth increase CO 2 emissions in Indonesia in both the short term and long term. Similarly, this findings is also consistent with Rahman et al (2016) who found long run nexus between output growth and CO 2 emissions in Indonesia using Toda-Yamamoto approach during 1971-2011. But this finding contradicts with Jafari, Othman, and Nor (2012) who did not find any long-run relationship between economic growth and CO 2 emissions for Indonesia using Toda-Yamamoto approach during 1971-2007 In the case of China, both in the long run and short run, GDP per capita and energy consumption per capita show a significantly positive relationship with per capita CO 2 emissions in both the linear and quadratic models.…”
Section: Discussionsupporting
confidence: 91%
“…Step 3—Spatial Dispersal: In order to group fitter plants and eliminate unfavorable plants, the nonlinearly at each iteration must be decreased. To achieve this, the nonliniearity is reduced by the possibility of dropping a seed in a remote space …”
Section: Methodsmentioning
confidence: 99%
“…The G8 countries, which are the United States, the UK, Italy, France, Russia, Japan, Germany, and Canada, are highly industrialized nations, and have the highest world's total wealth and GDP, are considered in this research. Promoting renewable energies by the mentioned countries will have a significant impact in mitigating the CO 2 emission . The higher the ratio of renewable energy to total primary energy consumption, the lower the CO 2 emissions.…”
Section: Introductionmentioning
confidence: 99%
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