Repository logo
Institutional Repository
Communities & Collections
Browse
Quick Links
  • Central Library
  • Digital Library
  • BHU Website
  • BHU Theses @ Shodhganga
  • BHU IRINS
  • Login
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Gopal Ji Singh"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • Loading...
    Thumbnail Image
    PublicationArticle
    Prediction of surface temperature and CO2 emission of leading emitters using grey model EGM (1,1, α, θ)
    (Springer Science and Business Media Deutschland GmbH, 2023) Pawan Kumar Singh; Alok Kumar Pandey; Anushka Chouhan; Gopal Ji Singh
    The current study projects the increase in surface temperature and CO2 emissions using the EGM (1,1, α, θ) grey model for the six most significant CO2 contributing countries, namely China, the USA, India, Russia, Japan, and Germany. The study uses time series data for surface temperature (in degree celsius) from 2010 to 2020, and CO2 emission (metric tons per capita) data from 2009 to 2019. The empirical results show a downward trend in CO2 emissions from Japan, Germany, the USA, and Russia by 2028. However, in the same time period, CO2 emissions are expected to increase for India and remain nearly constant for China. This study indicates an increase in surface temperature at a significant rate in all the 6 countries: by 6.70 °C for China, 7.52 °C for Germany, 2.95 °C for India, 2.66 °C for Japan, 3.61 °C for Russia, and 13.48 °C for the USA by the end of 2028. The study compares the EGM (1,1, α, θ) grey model with the general EGM (1,1) grey model and finds that the EGM (1,1, α, θ) model performs better in both in-sample and out-of-sample forecasting. The paper also puts forward policy suggestions to mitigate, manage, and reduce increases in surface temperature as well as CO2 emissions. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
An Initiative by BHU – Central Library
Powered by Dspace