Prediction of carbon price forecast using time series analysis

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

Many economic tools have been proposed and used to reduce climate change. Carbon trading is one of these market-based tools that is recognized as a cost-effective way to change climate and environmental issues. Today, the issue of carbon sequestration and bioenergy production versus fossil fuels is great concern of governments, and many efforts have been made to reduce or control carbon dioxide emissions. The aim of this study is to investigate carbon price fluctuations and predict price trends based on historical carbon price data in the time series 2005-2020. Data were analyzed by regression analysis based on Fuller augmented Dicky after eliminating inflation. The results show that the trend of carbon prices has fluctuated during this period. The average expected price of carbon is 3,303,589 Iranian Rials.Many economic tools have been proposed and used to reduce climate change. Carbon trading is one of these market-based tools that is recognized as a cost-effective way to change climate and environmental issues. Today, the issue of carbon sequestration and bioenergy production versus fossil fuels is great concern of governments, and many efforts have been made to reduce or control carbon dioxide emissions. The aim of this study is to investigate carbon price fluctuations and predict price trends based on historical carbon price data in the time series 2005-2020. Data were analyzed by regression analysis based on Fuller augmented Dicky after eliminating inflation. the trend of carbon prices has ش fluctuated during this period. The average expected price of carbon is 3,303,589 Iranian Rials.

Language:
Persian
Published:
Journal of Environmental Research and Technology, Volume:6 Issue: 10, 2022
Pages:
51 to 57
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