The Grey Forecasting Model on the Forecast of Green GDP Accounting in Taiwan

نویسندگان

  • Shin-Li Lu
  • Wen-Chih Chiu
چکیده

 Abstract—Grey theory is a truly multidisciplinary to deal with systems that are characterized by few data for which information is insufficient. The grey forecasting model from grey theory was first applied in this paper to predict accurately the green GDP accounting of Taiwan from 2002 to 2010. Concerns about green GDP accounting are regarded as a human welfare indicator of economic progress and standard of living in almost countries. Empirical study shows that the mean absolute percentage error of residual GM(1,1) model is lower than 2.05%, which do not need large data and exhibit high prediction accuracy. The findings reflect the status of environment and offer a value reference for government in drafting relevant economic and environmental policies.

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تاریخ انتشار 2012