A novel GDP prediction technique based on transfer learning using CO2 emission dataset

Applied Energy(2019)

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摘要
•A transfer learning based novel GDP prediction method using CO2 emission data.•It can estimate GDP even when macroeconomic data of a nation is unavailable.•Simulations consider CO2 emission data of four economically heterogeneous nations.•Results are comparatively presented employing three well-known regression methods.•Capable of predicting the missing GDP values of isolated and war-torn countries.
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关键词
GDP prediction,Transfer learning,CO2 emission data sets,Developing economies,Developed economies
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