2019
DOI: 10.1016/j.jclepro.2019.03.352
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Modelling carbon emission intensity: Application of artificial neural network

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Cited by 187 publications
(91 citation statements)
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References 119 publications
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“…Scholars continuously discuss the impact of globalization on the climate, but the exact effect of globalization on CO 2 emissions has not been figured out. That is, some researchers show that globalization can increase CO 2 emissions (e.g., Christmann & Taylor, 2001; Ulucak & Khan, 2020; Xu, Baloch, Meng, Zhang, & Mahmood, 2018), while others show the opposite side (e.g., Acheampong & Boateng, 2019; Akadiri, Alola, Bekun, & Etokakpan, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Scholars continuously discuss the impact of globalization on the climate, but the exact effect of globalization on CO 2 emissions has not been figured out. That is, some researchers show that globalization can increase CO 2 emissions (e.g., Christmann & Taylor, 2001; Ulucak & Khan, 2020; Xu, Baloch, Meng, Zhang, & Mahmood, 2018), while others show the opposite side (e.g., Acheampong & Boateng, 2019; Akadiri, Alola, Bekun, & Etokakpan, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the efforts of international organizations to mitigate the adverse effects of global warming have focused on policies of reducing the amount of carbon emissions (Acheampong & Boateng, 2019;Tamazian, Chousa, & Vadlamannati, 2009). Despite the concerted efforts to reduce the concentration of the amount of carbon emissions on earth, global carbon emissions have been increasing.…”
Section: Introductionmentioning
confidence: 99%
“…Investigations into the environmental consequences of such technologies do exist, though knowledge of their economic impacts is limited [25]. In a different technological direction, neural networks have proven effective tools at predicting and forecasting CO 2 intensities [26]. Nevertheless, the lack of access to clean fuels and clean technologies is a continued public health concern with additional negative climate externalities [27].…”
Section: Literature Reviewmentioning
confidence: 99%