Time series analysis of environmental quality in the state of Qatar

Abstract

This study investigated the impact of economic growth, electricity consumption, energy consumption, and the crop production index on environmental quality in Qatar by considering four different types of GHGs emissions (carbon dioxide, methane, nitrous oxide, and F-GHGs) and using a time-series dataset for the period of 1990–2019. This study investigated the long- and short-term impacts between these variables using ARDL bounds testing, while the stationarity properties of the variables were tested by applying the Zivot–Andrews test. The results indicate that electricity consumption, energy consumption, and the crop production index have a positive and significant relationship with GHGs, while economic growth has a negative and significant relationship in the long term with these gases. The VECM Cranger and Toda-Yamamoto causality tests were used to understand the causal relationship between the variables, and the results suggest a different causality relationship between the variables. Several key policy implications derived from the findings of this research to sustain environmental quality in the state of Qatar are discussed in this paper.