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. Drawing on the data of 275 prefecture-level cities in China from 2010 to 2019, we employ the time-varying difference …-in-differences (DID) method to investigate the influence of the digital economy on regional carbon emissions. By considering the China …
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This study is designed to discover current energy-related research trends as evidence inherent in big data and obtain future agendas and new insights to reshape global energy strategy considering environmental change globally in the era of COVID-19. To this end, vast amounts of unstructured text...
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