Sectoral-based CO2 emissions of Pakistan: a novel Grey Relation Analysis (GRA) approach
2020
Rehman, Erum | Ikram, Muhammad | Feng, Ma Tie | Rehman, Shazia
Global warming regarded as the major global issue over the past few decades, whereas carbon dioxide (CO₂) emissions have been cited as one of the main causes of this problem. Therefore, this study aims to investigate the effect of energy consumption, economic development, and population growth on high CO₂ emitting sectors of Pakistan such as transportation, industrial, and household. The data used in this study was taken from multiple databases from 2000 to 2018. We employed novel grey relational analysis (GRA) models to assess the connection between gross domestic product (GDP) per capita, population, energy consumption, and CO₂ emission. Furthermore, the Hurwicz method was used to analyze which factor contributing more to CO₂ emission. Result reveals that CO₂ emission, gross domestic product per capita, population, and energy consumption showed a strong association among all sectors. Whereas, population contributes more to intensifying CO₂ emissions in the transportation sector of Pakistan. This study provides useful insights for policymakers to take preventive and corrective measures to overcome CO₂ emissions as well as sustainable development.
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