Journal of Environmental Biology

Modeling the stimulating factors of CO₂ emissions in India

P.K. Sharma¹*, S. Shafaqat² and S. Jamwal¹ 

¹Directorate of Extension, Sher-e-Kashmir University of Agricultural Sciences and Technology of Jammu, Chatha - 180009, India

²School of Economics, Quaid-i-Azam University, Islamabad-45320, Pakistan

*Corresponding Author Email : pawanvatsya@gmail.com 

Received: 13.06.2020                                                                   Revised: 15.11.2020                                                    Accepted: 15.12.2020

Abstract

Aim: This study was attempted to explore the impact of population, affluence (per capita consumption or production) and technology on  emissions using STIRPAT model over the period 1971-2017 in India.

Methodology: The time series Vector Error Correction Model (VECM) approach was adopted to conduct stationarity test, co-integration analysis, stability test and Granger causality test.

Results: Empirical results indicate a positive and significant impact of population between ages 15-64 towards emissions in long term. One percent change in population of this age group leads to 13.3 percent increment in emissions while growth in GDP is not a reason for emissions.      

Interpretation: Findings support the perspective of Malthusian that population growth increases environmental impacts. Therefore, while constructing the long-term strategies for emissions abatement, policymakers should concern these matters fully.       

Key words: Emissions, Human-environment Interactions,  STIRPAT, VECM

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