Prediction of CO2 Emissions in India Using ARIMA Models

DRJ - Journal of Economics & Finance, 4(2), pp. 01-10.

10 Pages Posted: 27 Mar 2019

See all articles by Thabani Nyoni

Thabani Nyoni

University of Zimbabwe

Wellington Garikai Bonga

Great Zimbabwe University

Date Written: March 4, 2019

Abstract

This research uses annual time series data on CO2 emissions in India from 1960 to 2017, to model and forecast CO2 using the Box – Jenkins ARIMA approach. Our diagnostic tests indicate that India CO2 emission data is I (2). The study presents the ARIMA (2, 2, 0) model. The diagnostic tests further imply that the presented model is stable and suitable. The results of the study establish that CO2 emissions in India are likely to increase and thereby exposing India to climate related challenges. 5 policy prescriptions have been put forward.

Keywords: ARIMA model, Box-Jenkins, Climate Change, CO2 emissions, Energy Management, Environment, India

JEL Classification: C53, P28, Q47, Q52, Q53, Q54

Suggested Citation

Nyoni, Thabani and Bonga, Wellington Garikai, Prediction of CO2 Emissions in India Using ARIMA Models (March 4, 2019). DRJ - Journal of Economics & Finance, 4(2), pp. 01-10.. Available at SSRN: https://ssrn.com/abstract=3346378

Thabani Nyoni (Contact Author)

University of Zimbabwe ( email )

Mashonaland
Zimbabwe

HOME PAGE: http://www.uz.ac.zw

Wellington Garikai Bonga

Great Zimbabwe University ( email )

P. O. Box 1235
Masvingo
Masvingo, Masvingo 00263
Zimbabwe

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